628 Bioinformatics Jobs - Page 24

The Principal Real World Evidence (RWE) Research Analyst is responsible for the scientific and methodological aspects of all RWE projects as we'll as providing guidance for other team members. Key Responsibilities: Produce analytic results including full study reports for RWE or observational database analyses projects. Independently draft and edit documents such as high level research proposals, protocols and statistical analysis plans. Develop project timelines together with the Real World Evidence Data Scientists. Appropriately supervise communications with the customer as we'll as project related decisions taken. Conduct observational data analyses involving new creative approaches and supervise data management and statistical programming activities. Handle the outsourcing of programming activities from Data Science to an approved vendor in accordance with Scientific Services vendor management procedures. Provide guidance to conduct data quality reviews with detailed documentation. Present research and analysis results to customers and partners. Collaborate with RWE Center of Excellence (CoE) to drive quality and accuracy of results; constant improvements on systems, processes and quality matrices that contribute to existing solutions. Produce analysis datasets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and aligning with pre-defined project / study standards. Perform in-depth research and quantitative and qualitative analysis independently. Provide guidance to Associate Rwe'research Analysts and Rwe'research Analysts. Seek out opportunities for the development of new RWE services and new customers within Novartis. Maintain familiarity with technical developments in RWE, epidemiological and data science fields. Commitment to Diversity Inclusion: : Essential Requirements: Graduation degree with 8+ years conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related field within the pharma industry (eg, clinical research, statistics, epidemiology, pricing). masters degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. And 5+ years of proven experience conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related field within the pharma industry. Experience in the application of statistical methods to the analysis of observational data. Technical proficiency in analytical and visualization tools and statistical programming languages such as SAS, R, R/shiny, Tableau, Spotfire, SPSS, STATA, WinBUGs. Deep knowledge of Rwe'data sources and standards such as MarketScan, CPRD, JMDC, Optum, PharMetrics, OMOP. Expert in applied statistics. Extensive experience in the application of statistical methods for analysis of observational data including propensity scores, sensitivity analyses, etc is a plus. Good understanding of organizational processes. Extensive experience working cross-functionally with key internal partners. Open to experimentation and doing things differently to support creative thinking that leads to practical solutions to healthcare and business challenges. Holds a high standard on quality excellence. Continuously seeking to enhancing standards, technology through expansion of knowledge and training. Support partnership to swiftly and efficiently deliver innovative new products to patients and healthcare providers. High ethical values and standards. Able to speak out, challenge conventional thinking, and stand up for ideas. Experienced in data visualization Desirable Requirements: Ability to work, prioritize, and drive projects independently. Ability to handle multiple projects and partners.

As a Principal Scientist I within Preclinical Safety (PCS) Pathology Team, you will be responsible for advancing translational safety omics data analysis to support innovative drug discovery development efforts. The candidate will participate in the study design, analysis, interpretation, and presentation of the data by interacting closely with a team of pathologists, bench scientists, and subject matter experts across the sites (eg USA, Switzerland) of Novartis. The role requires significant omics-based data science expertise and a passion to elevate the role of multimodal data analysis in translational drug safety. About the Role Your responsibilities include, but are not limited to: Use machine learning and statistical methods for analysis of spatial transcriptomics (eg Visium/Nanostring platforms) and spatial proteomics data (both internal and public data) from raw reads Compare and contrast spatial omics data sets with bulk RNASeq and single cell data Multimodal analysis of omics data with other modalities such as histopathology images, clinical biomarkers, etc Support projects with data science expertise in diverse scientific fields such as gene and cell therapy, target discovery, genetics, drug safety, compound screening, etc Innovate by transforming the way to solve a problem using Data Science Artificial Intelligence Communicating regularly with stakeholders and assisting with answering their questions with the data and analytics Proactively evaluate the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences approaches Independently identifies research articles and reproduce/apply methodology to Novartis business problems M.S. or PhD in Data Science, Computational Biology, Bioinformatics, or a related discipline Proficient in programming languages and data science workflows (eg Python, R, Git, UNIX command line, high-performance computing (HPC) clusters etc) A minimum of 5 years of experience in analyzing large biological datasets (genomics, proteomics, and transcriptomics data analysis and data-integration) in a drug discovery/development or relevant academic setting Proven ability to implement exploratory data analysis and statistical inference in the context of scientific research A collaborative, team-focused mindset coupled with outstanding communication skills, and the ability to work in an agile environment Experience with using machine learning algorithms to extract insights from complex datasets Familiarity with the concepts of molecular biology, cell biology, genomics, biostatistics and toxicology

Title : Intern - Bioinformatics Location: Bangalore, India Organization: Center for Innovation in Diagnostics, Siemens Healthineers Mode of employment: Intern/fixed time duration Intern Introduction Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers confidence that they need to meet the clinical, operational and financial challenges of a changing healthcare landscape. With over 70,000 employees Siemens Healthineers is one of the world s largest suppliers of technology to the healthcare industry. As a global leader in medical imaging, laboratory diagnostics, and healthcare information technology, we have a keen understanding of the entire patient care continuum from prevention and early detection to diagnosis and treatment. The Center for Innovation in Diagnostics India Group of Siemens Healthineers in Bangalore, India is looking to recruit interns wanting to have real-world experience in interdisciplinary research and development in Bioinformatics. This person will be supporting bioinformatics activities associated with various molecular biology and sequencing topics. The internship duration could extend from 3 to 6 months. What are my responsibilities Analyse large sequence datasets from publicly available genomic databases Design of primers and approaches for selective amplification Collect, analyze, and interpret genomics data Write codes/scripts to process genomic sequences and implement algorithms Read and understand technical literature (journal articles, publications, reports) What do I need to qualify for this role Student who has not yet graduated and working towards a relevant Bachelors/Master/PhD in Bioinformatics/Biosciences or equivalent discipline degree, from an accredited academic institute Strong theoretical and practical knowledge of molecular biology, bioinformatics (like primer design, familiarity with standard tools, pipelines and databases used for genomic data analysis) Coding in programming languages (one or more of Python, R, Perl) In case you have acquired your skills in alternative ways your application is just as well appreciated. What else do I need to know Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work. We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role. Contact If you have further questions regarding this job offer, please be free to post your resume mandatorily through the link mentioned below

Roles & Responsibilities: As a Senior Scientist you will be contributing to the dynamic short-term regular projects, as well as on novel projects that would significantly contribute towards the future roadmap of the company. You will be developing innovative algorithms and building large machine learning models across a wide range of datasets and data types, especially in Multi-Omics, that will enable a diverse range of use cases like diagnostics, personalized medicine, drug discovery, etc. By leveraging your experience in computational biology, programming, machine learning, and data sets you will be: Independently deciding upon software tools, and/or build innovative frameworks, for robust, efficient data integration of Multi-Omics datasets and build models for automated data-mining of diverse types of biological datasets. Work collaboratively alongside research scientists, product managers to translate the lab-generated data resources into tangible competitive knowledge by applying relevant and specific bioinformatics programs and methodologies to meet the specific needs of the project and identify opportunities for accelerating existing and novel products development projects. Design, develop and implement novel bioinformatics programming strategies, including building new algorithms & frameworks for process pipelines, and/or customizing existing software programs to solve problems specific to the analytical needs for data analysis in specific Projects. Build and curate large-scale Multi-Omics datasets as well as develop new algorithms and build program architectures, for training large machine learning models across multiple modalities. Explore the properties of the resulting representation model on the range of benchmarks. Develop/create new benchmarks for interpreting results based on how the new models are behaving Handling the QC Team for Timely implementation of various processes and method Transfer Activities & fulfillment of all compliances, in accordance to the standard existing norms for multi-omics data. Periodically reporting of the progress made in relation to the objectives & critical milestones to the reporting authority. Required Experience: Skills in Developing Algorithms and frameworks with different Programming Languages including Python, Java, R and other relevant languages as per the needs of a bioinformatics project. Development of new algorithms & program architectures, particularly by using self-supervised learning models on various biological data including Clinical, Radiological & Multi-Omics Data. Have extensive knowledge in machine learning theory and in practice including a thorough ability to curate and build large models on big datasets. Build and run quick and focused computational biology experiments on NGS data sets as per specific needs. Must have good inter-personal & relationship management skills and must be working closely with cross-functional teams including laboratory bench scientists, biologists & bioinformatics analysts to develop new training models and benchmarking Multi-Omics datasets. Interpret and develop new benchmarks by accessing model performance. Experience in Google Cloud platform and hybrid Cloud platforms, Python, PyTorch, Java, Linux OS, Pandas, Docker, CUDA for neural networks, and experience in building large-scale distributed system. Excellent communication, including scientific writing skills. Should have Goal-oriented Mindset. Superior organizational skills: Must have ability to work efficiently in a fast-paced multitasking work environment and prioritize tasks effectively & efficiently. Team: You will be joining a multi-disciplinary team consisting of Laboratory Scientists, Medical Doctors, Bioinformaticians and Software Programmers. You will be supported for your contributions towards paper publications and conference publications and will be provided with opportunities to attend major computational biology conferences. You will also collaborate with other cutting-edge teams working with us from around the world. Brief about Acrannolife: Acrannolife Genomics Private Limited is India's leading clinical genomics & precision diagnostics technology company dedicated to enhancing disease diagnosis through innovative molecular diagnostics. With a mission to positively impact over a billion lives, Acrannolife Genomics leads with purpose and passion, focusing on developing a technology platforms for detecting and monitoring chronic and infectious diseases. Our goal is to disrupt the current healthcare process by enabling early detection, decentralizing testing, and democratizing access globally. Through innovation and cutting-edge technologies, we address the most ambitious and complex challenges in healthcare, revolutionizing the early diagnosis of chronic and infectious diseases. Our dedicated global team of scientists is united in pursuing moon-shot challenges, striving to deliver improved clinical outcomes and positively impact lives. Acrannolife Genomics Private Limited is setting new benchmarks in the healthcare industry with its unwavering commitment to improving disease detection and patient care, with utilizing state-of-the-art technologies such as liquid biopsy and Loop-Mediated Isothermal Amplification (LAMP). Groundbreaking products like COVIQWIK and the Trunome platform position the company to drive significant advancements in precision diagnostics, making a substantial impact on countless lives. The Trunome Technology platform boasts nearly 100,000 unique biological datasets, profiled through a high-dimensional biological assay, offering a novel approach to diagnostics and biomarker discovery. Additionally, Trunome houses a large repository of Omics datasets, further enhancing its capabilities in precision medicine. The company’s dedication to innovation and patient-centric approaches has earned it significant recognition. Acrannolife has been felicitated by the Hon'ble President of India for the contribution of COVIQWIK and also received multiple other prestigious awards for the contributions to healthcare. Other Value-Added Perks, Benefits, Rewards & Propositions on Working with us: •Competitive Pay as per Industry standards •Opportunity to work on Most Novel & Innovative projects, including, some US-based global projects. •As a Startup, we would be offering the Freedom to Think, Innovate, Work & Expand your Skills: You would be Working with a team of ‘rockstars’ and bring about the best in You.. •Full support and career development resources to expand your skills, enhance your expertise, & maximize your potential along your career journey: You get the Latest and Best hardware support. •Opportunity for Research Publications in Standard, International Medical & Scientific Journals. •Handsome Rewards – Comprising of Health Insurance, Work-Life Balance with a good sick & Maternity Leave Policy, Career benefits & growth including Performance-linked benefits & Bonuses, and Flexible-timings depending on real-time needs. •2-DaysVacation Travel Surprises per Year to an Unique Indian destination for hard and high performing employees. •A set of different indoor games, including Fun Fridays.. All work and no play make Jack/Jill....... •Diverse and Inclusive Community with an Open, transparent work culture that includes weekly meetings wherein the Teammates are empowered to bring-in and discuss on innovative, out-of-box ideas & solutions. •A variety of amenities within campus (Restaurant, Bank-ATM, open terrace to relax, Bean Bags etc). •Free On-site EV-charging for all EVs, including EV-Bikes & Cars. •And at the last, but not the least, the most important benefit: An immeasurable opportunity to indirectly or directly Bring about a positive change towards the lives of hundreds of millions of patients. Qualification, Experience Required: PhD/Post-Doc in Bioinformatics with >= 5years Experience Programming Multi-Omics data pipelines, and developing AI Learning Models for Multi-Omics Data. IMPORTANT NOTE: THIS POSITION IS ONLY FOR SENIOR SCIENTISTS WITH PhDs/POST-DOC IN BIO-COMPUTING/ BIO-PROGRAMMING. MASTER'S DEGREE HOLDERS (MS/MSC/MTECH) DO NOT APPLY . Remunerations: As Per Industry Standards Location: Chennai, Tamil Nadu, INDIA. Show more Show less

This Job is based in Australia Develop and enhance Natural Language Processing systems to support AI-driven products and services. Work with Large Language Models (LLMs), including fine-tuning and Retrieval-Augmented Generation (RAG) approaches, to optimise performance Design and implement robust evaluation frameworks Bottom of Form Level A or B appointment - $88,290 - $145,730 (min. 110,059 with PhD) + 17% superannuation Full-time, fixed term contracts to May 2027 Why Your Role Matters The Defence Trailblazer for Concept to Sovereign Capability is a $250 million enterprise powered by UNSW and UoA, with funding from the Australian Government through the Trailblazer Universities Program, as well as university and industry partners. Our mission is to accelerate the commercialisation of research for the Australian Defence Force (ADF), develop education training pathways, fast-track entrepreneurs' ideas to commercialisation, and enhance collaboration between industry, government, and academia. The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering Reporting to Dr. Aditya Joshi, School of Computer Science and Engineering, the Postdoctoral Fellows (Level A/Level B) are expected to carry out independent and/or team research within the field in which they are appointed and to carry out activities to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. About UNSW UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. It’s the reason we’re Australia’s number one university for impact and among the nation’s Top 20 employers. And it’s why we come to campus each day. Benefits And Culture UNSW offers a competitive salary and access to UNSW benefits including: Hybrid/Flexible working arrangements An additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices Discounts and entitlements Affordable on campus parking Who You Are Level A You have a PhD in natural language processing, or a related discipline, and can demonstrate the following Skills and Experience: Proven commitment to proactively keeping up to date with discipline knowledge and developments. Research with outcomes of high-quality outputs (e.g. ACL, NeurIPS, ICML, ICLR, AAAI) and high impact, with clear evidence of the desire and ability to achieve research excellence and capacity for leadership. Strong experience in fine-tuning LLMs and developing LLM-based tools and techniques, such as RAGs and agentic workflows. A track record of significant involvement with the profession and/or industry. High-level communication skills and ability to network effectively and interact with a diverse range of students and staff. Ability to work in a team, collaborate across disciplines and build effective relationships. Highly developed interpersonal and organisational skills. An understanding of and commitment to UNSW’s aims, objectives and values, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training. Retrieval-augmented generation for conversation understanding or question-answering is desirable. Web-based deployment using commercial cloud platforms is desirable. Level B – Additional Skills And Experience Required Two years of post-PhD experience. Build effective networks with colleagues. Generate alternative funding and/or industry projects through liaison with external local and international researchers, industry, and government. Pre-employment Checks Required For These Positions Verification of qualifications The successful candidates may be required to hold or attain an Australian government security clearance. Apply : If developing your NLP research expertise is of interest to you, please submit your CV, Cover Letter and responses to Skills and Experience required in the position description. Please note: Visa sponsorship is not available for this position. Candidates must hold Australian working rights to be considered for this position Applications close: 11.55pm, Sunday 25th May 2025 Contact : Shiree Thomas – Talent Acquisition Consultant e: shiree.thomas@unsw.edu.au Please apply online - applications will not be accepted if sent to the contact listed. UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment. Show more Show less

Position - Scientist I Human Genomics Location - Navi Mumbai | Work From Office Who Are We Based out of IIT Bombay, HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics based diagnostic solution for Tuberculosis was recognized as one of top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022. What We Want You To Do Analyze and manage the NGS / Nanopore data using relevant pipelines. Develop customized pipelines and workflows and tweak current pipeline filters for NGS and Nanopor analysis Help in developing and executing various data management strategies Identify the databases, tools, catalogs, and their reliability in future and help the research team in data collection strategies. Interpret genetic sequence variations identified through the pipelines Check quality and accuracy of the data Work in conjunction with team members to ensure consistent result generation Work in conjunction with wet lab and tech teams to ensure smooth operations and development work Troubleshoot issues related to data analysis tools and software Review literature for new technologies in the field of Bioinformatics Write grants and papers in the company Creating documentation and maintaining it What Are We Looking In You PhD in Genetics/Genomics or related fields or 8+ years of experience in the field of human genomics/genetics Experience with building bioinformatics pipelines for various kinds of NGS data Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, complete deadlines, and comply with company policies Experience of 1-2yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus Skills: ngs data analysis,nanopore data analysis,bash scripting,pipeline,scientific literature interpretation,data management strategies,genomics,pipeline orchestration tools (nextflow, snakemake),grant writing,bioinformatics pipeline development,pipelines,human genetics,pipeline orchestration tools (nextflow or snakemake),ngs,genetics,python,bioinformatics,statistical analysis,genetic sequence interpretation,linux,bioinformatics pipelines,communication skills,linux os Show more Show less

Perform data analysis on large-scale biological datasets, including genomics, transcriptomics, and proteomics data. Develop and implement bioinformatics pipelines for data processing and interpretation. Assist in the development of scripts and software tools to automate data analysis tasks. Collaborate with researchers and scientists to interpret and visualize results. Contribute to research documentation, including reports and presentations. Stay up to date with the latest bioinformatics tools, methods, and technologies. What are we looking in you Completed a Master degree in Bioinformatics or a related field. Strong programming skills in languages such as Python, R, or Perl. Familiarity with bioinformatics tools and databases (e.g., BLAST, NCBI, Ensembl, etc.). Understanding of next-generation sequencing (NGS) data analysis. Basic knowledge of statistics and data visualization. Excellent problem-solving skills and attention to detail. Note: This is a paid internship.Skills: data visualization,ngs data analysis,bash scripting,perl,genomics,nextflow,version control tools (github),databases,human and population genetics,human genetics,nanopore analysis,linux,population genetics,pipeline orchestration tools (nextflow/snakemake),genetics,database management,ngs,r,github,python,tools for analyzing microbial genomes,statistics,bioinformatics tools,snakemake,bioinformatics,next-generation sequencing (ngs) data analysis,building,tools for analyzing human genomes Show more Show less

Role Overview As the Director of Delivery, you will be responsible for leading and scaling Elucidata’s delivery function across a portfolio of complex, high-impact data and AI/ML projects in the pharma and biotech industries. This role is critical to ensuring timely, high-quality execution of customer engagements and internal programs, while building the operational muscle to support scale. You will bring deep domain expertise in life sciences or healthcare, a strong understanding of the end-to-end data lifecycle in pharma/biotech R&D, and a proven track record in leading multidisciplinary delivery teams and operations. Key Responsibilities 1. Strategic Delivery Leadership Lead end-to-end delivery for all customer programs, ensuring alignment with customer objectives, timelines, and quality standards. Build and oversee project governance, cadence, and execution mechanisms across engagements. Act as an escalation point for delivery risks, delays, or resourcing issues and implement proactive mitigation strategies. 2. Stakeholder Management & Solutions Act as a key partner to Solutions, Product, and Commercial teams to align delivery with strategic account plans. Regularly engage with client-side stakeholders including R&D leaders, computational biologists, and IT to ensure program success. Maintain high NPS scores through transparent communication and operational excellence. 3. Team Building & Operational Excellence Build and lead a high-performing team of Data Engineers, Data Scientists, and Project Leads. Implement delivery best practices, KPIs, dashboards, and quality control frameworks to ensure predictable execution. Identify, define, and optimize repeatable playbooks for different types of customer engagements (e.g., platform deployment, data harmonization, AI/ML pilots). 4. Cross-Functional Collaboration Partner with Product & Engineering to align delivery feedback with the product roadmap. Work closely with Revenue Ops and Finance to manage resourcing plans, utilization, and profitability of delivery programs. Must-Have Qualifications 10+ years of delivery, operations, or program management experience in the pharma, biotech, or healthcare space. Proven experience leading delivery teams across domains such as bioinformatics, data harmonization, data engineering, and analytics. Deep understanding of biomedical data (e.g., omics, clinical trials, EHR, real-world data). Demonstrated ability to manage complex programs with external stakeholders under tight timelines. Preferred Qualifications Master’s degree or PhD in Life Sciences, Bioinformatics, Data Science, Engineering, or a related technical field. MBA is a plus. Prior experience working in or with pharma/biotech R&D organizations or healthcare data vendors. Familiarity with AI/ML applications in life sciences is a strong plus. Strong communication, negotiation, and stakeholder management skills. Experience scaling delivery functions in a SaaS or tech-enabled services business. Be part of a growing startup that is shaping how biomedical data is used to accelerate innovation. Show more Show less

A leading KPO/ BPO / ITES sector company servicing international clients for several decades requires # BScs / M.Scs / BPharm / BTech in Bioinformatics, Biotechnology & Biochemistry and other Life Sciences. # Graduates/Post Graduates in Chemistry / Chemical technology Jobs respectively involve data capture, extracting, document summary and analysis, data analytics etc # Life Science & Pharma industry data and information from various sources and internet to develop analytics content for international life science and other databases, both technical and commercial information. # Business/industry analysis and related data in Chemistry / Life Sciences ; developing analytics content for international databases. Full time / Part Time / Freelance / External working and Work From Home (WFH) for selected areas of work. Freshers can also apply. Our in - office working hours: 9.30 am to 5.30 pm. Good Salary / Allowances / Incentives / PF benefits / Bonus / Exgratia for full timers and attractive remuneration for part time / freelancers / external and work from home. Job Types: Full-time, Part-time, Permanent, Fresher, Freelance Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person Expected Start Date: 04/10/2025

Analyzing genetics, epigenetics, metagenomics, and metabolomics data from high-throughput multiplex assays using advanced computational techniques. Integrating various datasets to address specific biological questions. Designing and developing pipelines for statistical genetics programs encompassing basic and translational research. Writing manuscripts and contributing to various research studies. Managing project deliveries, responding to customer queries, and handling custom requirements. Basic understanding of molecular biology and genomics. Hands-on experience in NGS data analysis (RNA-seq, Exome-seq, ChIP-seq, and downstream analysis). Expertise in programming with Perl/Python. Experience in bioinformatics pipeline design and development. Familiarity with statistical programming (R/Bioconductor/Matlab). Knowledge in WGS, GWAS, and population genomics (preferred). Experience handling big data and managing multiple projects simultaneously. Ability to collaborate with clinical research scientists for project requirements. Capable of working both independently and as part of a team. Skills : - Bioinformatics,genomics Genetics Analysis Epigenetics Metagenomics Metabolomics High-throughput Data Multiplex Assays Computational Techniques Data Integration Biological Data Analysis Statistical Genetics Pipeline Development Translational Research Manuscript Writing Research Contributions Project Management Customer Queries Custom Requirements Bioinformatics Software Genetic Data Processing Data-driven Research Location : - Madhapur, Telangana

Profile Ph.D. in Biotechnology Areas: Genomics, Immuno-technology, mRNA therapeutics, Host-Pathogen Interactions, Plant Metabolic Engineering, Genetic Disorders, Cancer biomarkers, Gene Therapy, Bioprocess Technology, Food Processing & Nutrition, Agri-Biotech, Precision therapeutics, Nanobiotherapeutics, Biomedical devices; Ph.D. in Computational Biology Areas: AI in Health Care, Disease Modelling, Biomedical Image Analytics, Clinical Informatics, Computational Genomics, Computer-Aided Drug Discovery, Cheminformatics; Differentiators Faculties trained in worlds top institutions: Cornell University; Harvard Medical School; Johns Hopkins University; University Bonn; University Groningen; Wageningen University; Washington University; UIUC; University Wisconsin, Madison; University Texas at Austin; NIH; IIITH; IIT Dhanbad; Infrastructure and Connections NVIDIA supercomputer; Established research ecosystem through internal and external funding and state-of-the-art instruments & labs of > 10 Cr; Connect with Biotech, Biopharma and Medical industries, including Hyderabad Life Science cluster; Fellowship Rs.30,000/month & free on-campus boarding and lodging. Qualification Masters (or 4-Yr Bachelor degree) in any field of Life Sciences / Nanobiotechnology / Nanotechnology / Physics / Biophysics / Chemistry / Bioinformatics / Statistics / Chemical Engineering / Computer Science, etc. Masters: CGPA of 6.00 out of 10 or 60 PERCENT marks. For 4-Yr Bachelor degree: CGPA of 7.00 out of 10 or 70 PERCENT marks. To Apply Offline written exam and offline interview at Mahindra University, Hyderabad on 14-06-2025. Application Form : Application Form Link Application Procedure : Application Procedure Link Show more Show less

Let s do this. Let s change the world. In this vital role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational pivotal initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations Conduct market research, new platform and technology evaluations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications Doctorate degree OR Master s degree and 4 to 6 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Bachelor s degree and 6 to 8 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 10 to 12 years of Life Science / Biotechnology / Pharmacology / Information Systems experience Preferred Qualifications: MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 5+ years of experience in designing and supporting biopharma scientific research data analytics Functional Skills: Must-Have Skills (Not more than 3 to 4): Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Understanding of knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific data strategy, data governance, data infrastructure Experience with cloud (e. g. AWS) and on-premise compute infrastructure Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Plotly, Spotfire and related programming languages like SQL, python Experience creating impactful slide decks and communicating data Ability to deliver features meeting research user demands using Agile methodology We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) Certified SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills.

Medical Coding is the process of converting Verbal Descriptions into numeric or alpha numeric by using ICD 10-CM, CPT & HCPCS. As per HIPAA rules healthcare providers need efficient Medical Coders. Self Supportive Training ll be provided for Fresher Required Candidate profile UG / PG in Life Science, Medical, Paramedical Dental, Pharmacy, Physiotherapy, Nursing, Microbiology, Biochemistry, Biotechnology, Biology, Bio-Medical, Zoology, Bioinformatics, Nutrition & Dietetics Perks and benefits 12700/- to 14600/- PM excluding Allowances

Woxsen University is a premier institution at the forefront of technology and business education in India. Strategically located in Hyderabad's innovation corridor, we bridge academic excellence with industry relevance through cutting-edge programs and research initiatives. Our research-intensive faculty drive intellectual leadership that shapes academic discourse and advances the frontiers of computational sciences, artificial intelligence, and machine learning. Available Positions We are currently seeking research-focused professors specializing in the following disciplines: Computer Science & Engineering Artificial Intelligence Machine Learning Data Science Computational Systems Position Overview We seek accomplished research scholars with exceptional capabilities in investigating computational systems, algorithmic approaches, and intelligent technologies. The ideal candidates will demonstrate research excellence through publications in top-tier journals and conferences, and possess the ability to develop innovative research programs that advance the theoretical foundations and practical applications of computational sciences. These positions require individuals who can build significant research portfolios, mentor junior scholars, and lead interdisciplinary initiatives examining the mathematical, computational, and engineering dimensions of intelligent systems. Key Responsibilities Research & Scholarly Impact (70%) Maintain a rigorous research agenda resulting in publications in premier conferences and journals (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, AAAI, IJCAI, KDD, JMLR, TPAMI, TNNLS, etc.) Secure competitive research grants from national and international funding bodies (DST, SERB, MeitY, NSF, EU Horizon, industry research labs) Develop innovative algorithmic approaches, computational models, and system architectures Lead a research group focused on specific areas of computational sciences and AI/ML Design and implement cross-disciplinary research initiatives bridging computational approaches with domain applications Contribute to global research networks and collaborative projects with international scholars Apply the GTRMP framework with primary emphasis on research excellence and theoretical advancement Present research at prestigious academic conferences and research symposia Serve on program committees and editorial boards of leading conferences and journals Teaching & Student Development (20%) Teach advanced courses in computational sciences, AI/ML foundations, and specialized topics Supervise doctoral students and mentor early-career researchers in computational methods Develop research-informed curriculum for graduate programs in CS/AI/ML Create opportunities for student involvement in high-quality research projects Design specialized research seminars and workshops for doctoral students Foster interdisciplinary thinking and methodological rigor in student research Guide students in preparing submissions for top-tier conferences and journals Institutional Development & External Relations (10%) Contribute to departmental and university research governance Participate in faculty recruitment and development initiatives Support research accreditation and quality enhancement efforts Collaborate with colleagues on interdisciplinary computational research initiatives Enhance Woxsen's reputation as a center of excellence for computational sciences and AI research Develop relationships with external research institutions, industry research labs, and funding agencies Contribute to open-source software development and research infrastructure when appropriate Qualifications Essential PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related discipline from a globally recognized research institution Outstanding research profile with multiple publications in top-tier conferences and journals in computational sciences, AI, and ML Demonstrated success in securing competitive research grants Strong theoretical foundations and methodological expertise in computational and algorithmic approaches Evidence of research impact through citations, h-index, and scholarly recognition Experience in doctoral supervision and mentoring early-career researchers Excellent communication skills with ability to disseminate complex computational research to diverse audiences Active participation in international research networks and scholarly communities Desirable H-index of 20+ with a strong citation record Track record of publications at premier venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.) Experience leading funded research projects and managing research teams Contributions to open-source software, datasets, or research infrastructure Track record of successful research collaborations across institutions and disciplines Experience organizing workshops at major conferences or serving as area chair Demonstrated ability to bridge theoretical advances with computational implementations Experience with innovative methodological approaches and interdisciplinary applications Editorial or program committee experience with respected conferences and journals Record of successful PhD placement at research-intensive institutions Industry research experience at leading AI/ML labs (optional) Discipline-Specific Research Focus Areas Computer Science & Engineering Algorithm design and computational complexity High-performance computing and distributed systems Computer architecture and hardware-software co-design Programming languages and software engineering Security, privacy, and cryptographic systems Human-computer interaction and user experience Systems for AI/ML and computational infrastructure Artificial Intelligence Knowledge representation and reasoning Planning and decision-making under uncertainty Multi-agent systems and game-theoretic approaches AI for social good and ethical AI development Cognitive architectures and artificial general intelligence Human-AI collaboration and interactive AI systems Verification, validation, and safety of AI systems Machine Learning Deep learning architectures and optimization Reinforcement learning and sequential decision making Probabilistic models and Bayesian inference Unsupervised, self-supervised, and representation learning Transfer learning, meta-learning, and few-shot learning Fairness, accountability, transparency, and ethics in ML Theoretical foundations of machine learning Data Science Large-scale data processing and analytics Causal inference and experimental design Time series analysis and forecasting Network science and graph analytics Natural language processing and text mining Computer vision and multimedia analytics Scientific data analysis and computational statistics Computational Systems Embedded systems and IoT architectures Autonomous systems and robotics Cyber-physical systems and control theory Quantum computing and quantum information systems Computational biology and bioinformatics Computational sustainability and smart infrastructure Edge computing and mobile systems Show more Show less

Overview At the heart of QIAGEN’s business is a vision to make improvements in life possible. We are on an exciting mission to make a real difference in science and healthcare. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe. Our most valuable asset are our employees – more than 6000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us. There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started. If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic and international, diverse teams and want to make a real impact on people’s lives, then QIAGEN is where you need to be. Join us. At QIAGEN, you make a difference every day. Position Description In this role, a successful candidate will : Efficiently qualify inbound leads, understand customers/user’s critical business issues and propose the most suitable value-added product and solutions to the user. Take full responsibility of assigned renewal opportunities, aggressively followup with a sense of urgence and close business agreements within a given time frame. Develop and implement new lead prospecting and sales strategies. Generate proposals, negotiate and close business agreement independently or as a team. Channel sales qualified opportunities to territory sales representative for further development and closure based on territory requirement. Aim at reaching prospect/customer prominently via phone to achieve a positive outcome. Maintain year-on-year increase in lead and opportunity conversion in the given territory. Adhere to Standard Operating Procedures (SOP) recommended in the territory but also suggests improvements which could result in high efficiency and better outcome. Work in a team centric environment to achieve team goals besides achieving their own quarterly/Annual sales quotas. Take advantage of the EMEA/NA/APEC shift timings to connect with Customer’s/prospect’s during users local working hours Position Requirements A Master’s/Bachelor's degree in the life sciences or related field is preferred. Proven experience in an Inside Sales role handling Academic/Biotech/Pharma customers is preferred. Proven track record of meeting/exceeding aggressive sales quotas. Excellent, listening, communication and presentation skills. Good negotiator and motivator with strong knowledge of Biotechnology, Bioinformatics. Knowledge of R&D process and basic research needs and applied computing technology in R&D is an added benefit. Must be comfortable working in assigned North America(NA), EMEA or APEC time shift. Based on the assigned region, the candidate must be willing to coordinate meeting and engage prospects and customer via phone in US, EMEA or APEC shifts on a daily basis. Innovative thinker who will suggest, share and apply new found knowledge for the betterment of organisation and team. Expert at time management. Sets example to other team members with their positive behaviours and approach. Personal Requirements Expert in business writing. Excellent communication skills Situational awareness and adaptability. Interact effectively and harmoniously with other people. What we offer At the heart of QIAGEN are our people who drive our success. We act with passion, always challenging the status quo to drive innovation and continuous improvement. We inspire with our leadership and make an impact with our actions. We create a collaborative, safe and engaging workplace which forms the basis for high performing individuals and teams. We drive accountability and entrepreneurial decision-making and want you to excel your growth and shape the future of QIAGEN. QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability. Show more Show less

Summary Understand complex and critical business problems from Country/Regional/Global business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains (commercial, NTO, GDD, NIBR, NBS) or divisions (Onco, GenMeds, Sandoz). Able to use business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. No direct team management. About The Role Data Scientist I Location – Hyderabad Hybrid Major Accountabilities Work on a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recom-mender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization Develop automation for repeatedly refreshing analysis and generating insights Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives Understand life science data sources including sales, contracting, promotions, social me-dia, patient claims and Real-World Evidence. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively Manage own tasks and work with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and independently drives issues to resolution, minimizes surprise escalations Independently identifies research articles and reproduce/apply methodology to Novartis business problems Has high learning agility and diligently follows updates in industry and area of work. Essential Requirements: Quality of insights generated, and solutions provided, with quantified business impact / ROI Effective communication with Country/Regional/Global stakeholders Executes agreed targets for self Define and execute development plans for potential Subject Matter Experts Find creative ways to build team capabilities and play a direct role in driving a culture of innovation Values and Behaviors: in line with leadership standards of Novartis Education: PhD or Masters (or bachelor’s from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc.)Experience: 7+ years of relevant experience in Data Science. In case of PhD, 4+ years post qualification experience. Experience in commercial pharma would be a bonus. Extensive experience required in: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and un-structured data, Recommender Systems (content and collaborative filtering), etc. Tools and Packages: SAS, R, Python, SQL. Exposure to dashboard or web-apps building using Qliksense, R-Shiny, Flask, etc. would be an added advantage. Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Job Summary We are looking for an enthusiastic and experienced Full-Time Bioinformatics Trainer to conduct both online and offline (in-person) training sessions. The ideal candidate will possess strong subject matter expertise in bioinformatics and genomics, along with effective teaching and mentoring skills. This role involves delivering practical, hands-on training to learners across various formats and ensuring academic excellence in our bioinformatics programs. Key Responsibilities Conduct Online and Offline Training: Deliver structured and interactive bioinformatics classes both virtually and in-person at our Bangalore, Hyderabad, or Chennai training centers. Hands-On Tool Training: Guide students through practical exercises using essential bioinformatics tools, software, and databases (e.g., BLAST, FASTA, NCBI, Ensembl, UCSC Genome Browser, Galaxy, etc.). Curriculum Implementation: Follow and contribute to the pre-designed curriculum, ensuring it meets current industry standards and student needs. Genomics Expertise: Teach core genomics topics such as next-generation sequencing (NGS), genome assembly, annotation, gene expression analysis, and variant calling. Support and Mentoring: Address student queries, support individual learning, and offer personalized mentorship to ensure student success. Assessment & Feedback: Evaluate learner performance through quizzes, assignments, and capstone projects. Provide constructive feedback for academic improvement. Update Training Resources: Work with the academic team to maintain and update course materials and hands-on modules in line with the latest industry trends. Stay Current: Keep up-to-date with new developments in bioinformatics, genomics tools, and educational methodologies. Qualifications Master’s or Ph.D. in Bioinformatics, Computational Biology, Genomics, or related field. Strong knowledge of core bioinformatics principles, genome analysis techniques, and hands-on tools. Proficiency in one or more programming languages (e.g., Python, R). Excellent communication and teaching skills. Experience conducting in-person and/or online training sessions. Ability to explain complex technical concepts clearly to students at different levels. Preferred Skills Previous teaching/training experience in bioinformatics. Experience using Learning Management Systems (LMS). Familiarity with Linux/Unix environments for bioinformatics workflows. Experience in creating or contributing to educational content, including videos and tutorials. Work Schedule Full-Time position. Hybrid format: You will be expected to conduct both online sessions and in-person classes at one of our physical training centers (Bangalore, Hyderabad, or Chennai). Monday to Saturday schedule (occasional weekend workshops may be required). Flexibility to accommodate learners in different time zones (if needed for online sessions). Compensation Attractive salary package commensurate with experience and qualifications. Opportunities for career advancement, academic leadership, and professional development. Join Us Be part of CliniLaunch’s mission to empower the next generation of bioinformatics professionals with practical knowledge and industry-relevant skills. Job Types: Full-time, Permanent Pay: ₹50,000.00 per month Benefits: Provident Fund Work Location: In person

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Company Overview: At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them the most, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Tech@Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech@Lilly is that we redefine what’s possible through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business. LRL Tech unites science with technology to accelerate the Research and Development of medicines and to deliver therapeutic innovations. The team leverages technology and platforms to streamline scientific experimentation to help Researchers follow the science, to understand the disease and identify potential therapies. They are at the forefront of advanced analytics to enable data driven drug discovery, to innovate so Scientists can rapidly analyze and accelerate the discovery of new medicines. Position Overview: We are looking for a hands-on, Advisor - Informatics & Scientific Applications Architect to design and deliver next-generation digital platforms supporting drug discovery, preclinical research, analytical sciences, and CMC applications. This role demands deep expertise in AWS serverless architectures, cloud-native designs, automation, and microservices for scientific data applications. You will play a key leadership role in architecting multi-tenant, high-performance, modular, and scalable informatics ecosystems that integrate scientific workflows, computational platforms, and cloud infrastructure. Key Responsibilities: Architectural Leadership: Architect and build a multi-tenant, serverless informatics platform leveraging AWS Lambda, DynamoDB, S3, EBS, EFS, Route 53, and API Gateway. Design data partitioning strategies for multi-tenant scientific data storage and explore microservices frameworks for scalable architecture. Lead cloud-native software design using Kubernetes, Docker, and containerized services, ensuring high reproducibility and scalability of scientific applications. Build scalable Research Data Lakes, asset registries, and metadata catalog to support large-scale scientific data ingestion and retrieval. Complex Scientific Data Flow & Interoperability: Architect frameworks that facilitate seamless data exchange between discovery research systems, including LIMS, ELN, analytical tools, and registration systems. Implement RESTful and GraphQL APIs for high-performance data interoperability across computational models, bioassays, and experimental workflows. Establish scientific data standards to ensure consistency, traceability, and governance across the R&D landscape. Scientific Workflow Automation & Computational Frameworks: Architect scientific workflow automation platforms using Apache Airflow, EventBridge, RabbitMQ, and Kafka, enabling real-time data acquisition and bioassay processing. Design platforms supporting in silico modeling, AI-driven analytics, and high-throughput screening simulations. Integrate Cloud (AWS/Azure) platforms with HPC clusters to handle bioinformatics, cheminformatics, and translational modeling workloads. Cloud, DevOps, and Observability: Maintain deep technical hands-on expertise with AWS CloudFormation, Ansible, Jenkins, Git, and other DevOps automation tools. Implement observability solutions using Prometheus, Grafana, OpenTelemetry to monitor system health, performance, and workflows. Continuously learn, explore, and drive adoption of cutting-edge cloud-native, containerization, serverless, and scientific informatics trends. Cross-Functional Scientific Collaboration: Collaborate closely with scientists, data scientists, computational biologists, formulation teams, and manufacturing engineers to co-create informatics solutions. Serve as a trusted technical advisor for cloud migration, scientific data modernization, and AI/ML integration projects. Work with UI/UX teams to create intuitive digital interfaces for scientific workflow automation and data exploration. Technology Strategy, Governance & Best Practices: Drive architectural strategy, making informed decisions around buy vs. build, third-party integrations, and platform extensibility. Define and enforce best practices for scientific IT security, data privacy, compliance (GxP, FAIR), and cloud operations. Champion a modular, service-oriented, event-driven architecture to enable rapid innovation, maintainability, and scalability. Required Qualifications: Experience: 10+ years of enterprise IT and scientific informatics architecture experience. Deep technical leadership experience in AWS serverless and scientific data integration projects. Proven experience building cloud-native, scalable platforms integrating LIMS, ELN, MES, compound registries, and scientific analysis tools. Education: Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Information Systems, or related disciplines. Technical Expertise: Expertise in AWS serverless architectures (Lambda, DynamoDB, S3, Route53, API Gateway), containerized platforms (Kubernetes, Docker), and scientific workflow tools (Airflow, Kafka, EventBridge). Strong knowledge of microservices design, DevOps automation, scientific data systems, and HPC integration. Experience in observability setup for complex distributed systems in scientific environments. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Job Advertisement Advertisement Date: 14.05.2025 Amity University Uttar Pradesh, Noida invites applications for Amity Institute of Environmental Toxicology Safety and Management (AIETSM) for Junior Research Fellow (JRF) Name of Post Junior Research Fellow (JRF) Number of Post 01 (One) Name of Project Identification of bioactive non-ribosomal peptide molecules from bacterial isolates of Indian sector of Southern Ocean Name of Sponsoring Agency Ministry of Earth Sciences, Govt. of India (MoES) Duration of the Position 2 Years Fellowship / Monthly Compensation As per MoES norms Essential Qualifications M.Sc. in Microbiology / Microbial Biotechnology / Life Science/ Biotechnology / Bioinformatics / Environment Science / Applied Science / B.Tech-Biotechnology Desirable Qualifications NET/GATE would be preferred Age Limit 28 years Interested candidates meeting the above qualifications are requested to send their detailed CV within 15 days of this advertisement through email to [email address] with cc to [email address]. Please mention JRF- AIETSM in the subject line. No TA/ DA will be paid to the candidates for attending the interview. Show more Show less

About the Role We are looking for a Director / Senior Director of Sales to drive revenue growth by owning the entire sales lifecycle — from qualified opportunity to closure — across our life sciences and biopharma customer base. This is a high-impact role responsible for building a predictable pipeline, closing strategic accounts, and aligning cross-functional stakeholders including delivery and GTM leadership. You will be a key voice in shaping commercial strategy and customer success across high-value accounts. What You’ll Drive Lead and own the full sales cycle — from pipeline creation, deal pursuit, solution alignment, to contract closure. Drive revenue growth in key markets, with a focus on large pharma, biotech, and data-forward life sciences orgs. Track and report key sales metrics, including forecast accuracy, pipeline health, and win rates. Build and execute the strategic sales plan in collaboration with marketing, solutions, and delivery. Segment target accounts and craft customized outreach strategies for each segment/persona. Collaborate with demand gen and marketing to accelerate pipeline growth. Manage and mentor a growing sales team and solution managers across geographies. Act as a bridge between sales, delivery, and product to ensure solution alignment and smooth handoffs. Support deal structuring, pricing, and proposal development with internal stakeholders. Partner with solution managers and customer success teams to expand footprint in existing accounts. Develop and maintain strong relationships with key decision-makers and executive sponsors. Own long-term growth of strategic accounts through upsell/cross-sell opportunities. Must-Have Qualifications 10–14 years of experience in B2B/enterprise sales, ideally in SaaS, AI/ML, or life sciences tech. Proven track record of meeting or exceeding sales quotas in the US or global markets. Deep familiarity with consultative selling, value-based positioning, and enterprise buying cycles. Strong experience collaborating with cross-functional teams (marketing, delivery, product, etc.). Experience managing solution or pre-sales functions alongside sales ownership. Preferred Qualifications Experience selling to Pharma R&D, Bioinformatics, or Life Sciences IT teams. Strong understanding of data platforms, cloud infrastructure, or AI/ML-driven solutions. Prior startup or scale-up experience with high-ownership roles. Excellent communication and negotiation skills with C-level stakeholders. Why Elucidata? Shape the future of AI in life sciences and help accelerate scientific discovery Join a GTM leadership team that’s collaborative, driven, and impact-focused Competitive compensation, including ESOPs Hybrid work model with flexibility Be part of a fast-growing company backed by leading global investors Show more Show less

Position: Medical Coder Ct: HR Bhavani 9566284629 Medical Coding is the process of converting patient health information into alpha numeric codes. Coders take medial reports from doctors, which may include a patients condition, the doctors diagnosis, a prescription, and whatever procedures the doctor or healthcare provider performed on the patient, and turn that into a set of codes, which make up a crucial part of the medical claim. Eligibility: All (UG/PG) Life Science& Paramedical Graduates BDS BPT BHMS BAMS Siddha,Unani,Naturopathy {Dip Bsc Msc} Nursing/GNM {B.E M.E} Biomedical Engineering {B.tech,M.tech}Biotechnology Biochemistry Bioinformatics Microbiology Zoology and Advanced zoology Biology Botany Medical Lab Tech Plant biotechnology Pharmacy(B.Pharm M.pharm) Paramedical Physiotherapy Physician assistant Critical Care Technology Medical Biochemistry Medical Record Science Operation Theatre & Anaesthesia Technology {Bsc Msc Dip} Clinical Nutrition Human Genetics Medical Laboratory Technology Medical Sociology Epidemiology Molecular Virology Biostatistics Blood Banking Technology Regenerative Medicine Optom. Genetic Counseling Radiology & Imaging Technology Medical Biochemistry Medical Microbiology Clinical Care Technology Clinical Care Technology Medical Physics {Bsc Msc Dip} Accident & Emergency Care Technology Audiology & speech Language Pathology Cardiac Technology Cardio Pulmonary Perfusion Care Technology Critical Care Technology Dialysis Technology Neuro Electrophysiology Medical Sociology Nuclear Medicine Technology Operation Theatre & Anaesthesia Technology Optometry Physician Assistant Radiology Imaging Technology Radiotherapy Technology Medical Record Science Respiratory Therapy Fitness and Lifestyle Modifications Accident & Emergency Care Technology Critical Care Technology Nursing Aide Operation Theatre & Anaesthesia Technology Ophthalmic Nursing Assistant Medical Record Science Optometry Technology Radiology & Imaging Technology Medical Lab Technology Cardiac Non Invasive Technology Dialysis Technology Dentist Requirement: Knowledge in Anatomy and Physiology Good communication and interpersonal skills Basic Computer Skills Benefits System based job Weekly 5 days duty Day shift with Sat and Sun off Food and Cab provided by company Incentives based on performance Starting salary 12k to 25k with increment in 6 months for experienced. Abroad opportunities available Bonus for referring friends Medical expenses covered by company Provident Fund will be provided Gratuity after 5 yrs of work experience. Job Location: Chennai, Coimbatore, Vellore, Trichy, Cuddalore, Pondi Salem, Erode, Namakkal, Thanjavur, Nagercoil, Theni,Dindokal Thiruvannamalai, Villupuram, Karur, Tirunelveli,Kanniyakumari Tirupati, Kerala, AP,Tamilnadu,Telangana Reach Us: Ct:HR Bhavani 9566284629 Required Candidate profile Nursing Freshers Pharmacy Freshers Physiotherapy Dentist Life sciences Biotechnology Microbiology Biomedical Biochemistry Bioinformatics Botany Zoology GNM DGNM Physician assistant Anesthesia technician Perfusion Technology Medical coder Freshers Medical coding Freshers jobs in chennai Medical coding openings in chennai Wanted Medical coder Freshers jobs Medical coding Medical coder Medical coding Freshers Jobs in chennai Jobs for 2017 Passed outs Freshers jobs in chennai Jobs for freshers Nursing jobs for freshers Pharma jobs for Freshers Biotechology Jobs Microbiology jobs Biomedical jobs Bioinformatics jobs Bsc/Msc Jobs Biochemistry jobs Life science jobs in chennai Paramedical jobs in chennai Jobs in Tamilnadu Jobs in Pharmacy Jobs in Hospital GNM STAFF NURSE ANM STAFF NURSE GNM FEMALE STAFF NURSE DGNM FEMALE STAFF NURSE GNM MALE NURSE MALE STAFF NURSE NURSING JOBS IN CHENNAI Perks and Benefits Incentives 3000

Online applications are invited from the eligible candidates to work as Project Associate-I under the project entitled “Molecular characterization of phosphate starvation response in pearl millet (Pennisetum glaucum)” sponsored by DST-SERB, purely on temporary & contract basis at Amity University Rajasthan, Jaipur. Name of the Position & Number of Posts Project Associate-I / 01-Post Essential Qualification Master’s in Biotechnology/Biochemistry/Bioinformatics/Life Sciences or related field with = 60% marks from a recognized university Desirable Qualification Knowledge and work experience in Molecular Biology Experience in handling and analyzing high throughput genomics and transcriptomics data. Emoluments/Month Rs. 31,000/- per month plus HRA (for NET/GATE/ National level examinations qualified candidate) or Rs. 25,000/- per month plus HRA (for others) as per SERB Office Memorandum (O.M) No. SB/S9/Z-07/2020 dated 25-08-2020. Age Not more than 35 years Duration Initial appointment for 1 year or till the tenability of the project whichever is earlier and same can be curtailed/extended based on performance review. The eligible candidates may apply with self-attested soft copies of mark-sheets, certificates (from Class Xth onwards), proof of research experience/publications and latest CV (all combined as a single pdf.) to Dr. Naveen Malik, Assistant Professor, Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur by email (nmalik@jpr.amity.edu) latest by 15 th February 2023 (5:00 PM). Only top 10-15 candidates will be called for interview after screening. Note: Selected candidates will be required to work at Amity University Rajasthan, Jaipur

We are looking for a CMC Data Product Owner (all genders) to co-lead the development of innovative data products supporting Chemical, Manufacturing and Control operations . This role will work closely with the current Product Owner CMC, focusing on enabling data-driven decision-making in CMC operations using the Data Mesh approach. The role requires close collaboration with other data teams, particularly in Manufacturing & Supply (M&S) and mRNA areas, to ensure alignment and synergy across data products. As the Product Owner, you will be responsible for collaborating with digital stakeholders , managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated agile team composed of data engineers to deliver high-impact digital products that empower cutting-edge data consumers in research and manufacturing. Main responsibilities: Product Ownership: Under the supervision of the Senior Product Owner (PO), collaborate to the development and evolution of the CMC Data ProductiLi, probably focused on IN-Silico needs, ensuring it meets scientific, research, and business objectives. Collaborate to the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the What and Why of product development. Collaboration & Stakeholder Management: Work closely with scientists, data engineers, and platform engineers to ensure the product meets both scientific and technical requirements. Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards. Product Delivery: Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. Continuous Improvement: Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. Technical Leadership & Strategic Vision: Develop a strong understanding of CMC workflows and data integration needs, particularly in areas related to drug substance and drug product development, manufacturing, and quality control. Support the vision for innovative solutions in CMC data management and analysis within the Data Mesh architecture. Stay current with developments in data platform technologies, particularly Snowflake, and their applications in the pharmaceutical industry. About you Experience : 3-5 years experience in IT as a project manager or product manager, preferably with experience in life sciences, pharmaceutical development, or data platforms. Experience working with scientific or technical products in regulated environments. Familiarity with cloud environments and data platform technologies, particularly Snowflake. Soft and technical skills : Strong drive and ability to articulate product vision and align teams around shared goals. Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. Solid knowledge of Agile methodologies, including experience working in Scrum teams. Familiarity with bioinformatics tools and ELN (Electronic Laboratory Notebook) systems Education : Master s degree in Computer Science, Bioinformatics, Data Science or related field of studies. Languages : Fluent in English Pursue Progress . Discover Extraordinary .

Associate Data Engineer Graph – Research Data and Analytics What you will do Let’s do this. Let’s change the world. In this vital role you will be part of Research’s Semantic Graph. Team is seeking a dedicated and skilled Data Engineer to design, build and maintain solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance, graph-based, data engineering solutions for large scientific datasets and collaborate with Research partners. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, has experience with semantic data modeling and graph databases, and understands data architecture and ETL processes. Roles & Responsibilities: Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain documentation of processes, systems, and solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Bachelor’s degree and 1to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR Diploma and 4 to 7 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Hands on experience with big data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on data processing. Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Experience with system administration skills, such as managing Linux and Windows servers, configuring network infrastructure, and automating tasks with shell scripting. Examples include setting up and maintaining virtual machines, troubleshooting server issues, and ensuring data security through regular updates and backups. Solid understanding of data modeling, data warehousing, and data integration concepts Solid experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining user documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Scientific Business Analyst (Specialist) – ELN What you will do This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role maximises scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms such as Laboratory Information Management Systems (LIMS) that enable the capture of lab workflows & experimental data and Electronic Lab Notebooks (ELN) that act as Amgen’s System of Record ensuring data integrity and business continuity. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and landmarks Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms. Good-to-Have Skills: Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business stakeholders Knowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.