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

Position: Data Scientist – Academic instruction and project supervision Objective: To appoint a qualified and research-oriented Data Scientist to contribute to academic instruction and project-based execution, supporting students in the domains of Data Science, Artificial Intelligence, and Analytics, with a focus on both conceptual rigor and applied innovation. 1. Essential Qualifications 1.1 Academic Background - Master's degree (M.Tech / M.E. / MCA / M.Sc.) in Data Science, Computer Science, Information Technology, or a closely related discipline from a recognized institution. - Ph.D. in a relevant area (awarded or ongoing) is desirable, particularly for senior academic ranks. 1.2 Experience - Minimum 2 years of teaching experience at the undergraduate/postgraduate level in an academic institution of repute. - Demonstrable expertise in project mentoring, with experience in facilitating interdisciplinary or industry-linked student projects. 1.3 Technical Competencies - Proficient in core data science tools and languages: Python, R, SQL, and statistical software. - Experience with machine learning libraries (Scikit-learn, TensorFlow, Keras) and data visualization platforms (Tableau, Power BI, Matplotlib, Seaborn). - Competence in cloud computing environments (AWS, Azure, Google Cloud Platform) is advantageous. 2. Desired Qualifications - Professional certification in Artificial Intelligence, Machine Learning, or Big Data Analytics (IBM, Google, Microsoft). - Practical experience in real-time project deployment or industry collaboration in a data science role. - Publication record in peer-reviewed journals and/or conference proceedings (Scopus or SCI-indexed preferred). - Exposure to version control (Git/GitHub), containerization (Docker), or DevOps tools used in data pipeline management. - Proven guidance in academic project outcomes leading to intellectual property, publications, or competition accolades. 3. Responsibilities - Deliver structured coursework and laboratory modules across data science topics: statistical modeling, data wrangling, machine learning, AI ethics, and applied analytics. - Design and mentor student capstone projects and live academic-industry collaborations. - Develop course content, project rubrics, and training sessions aligned with industry best practices. - Collaborate with departments and research centers to initiate funded projects and interdisciplinary work. 4. Behavioral Attributes - Excellent communication and academic writing skills. - Strong mentoring orientation, fostering inquiry-driven learning and research aptitude. - Ability to work independently and within multidisciplinary teams to enhance institutional academic stature. 5. Salary Designation Monthly Gross Salary (INR) Remarks Assistant Professor (Entry Level) ₹45,000 – ₹60,000 Based on academic qualifications and teaching experience Assistant Professor (Senior Scale) ₹60,000 – ₹75,000 Ph.D. preferred; active research contributors Note: Final will be commensurate with qualifications, teaching experience, research output, and performance during the interview process. Opportunities for performance-based increments and research incentives are available. 6. Interview and selection process The selection process for the Data Scientist – Academic Instruction and Project Supervision role will involve the following stages: Application Review: Screening of submitted CVs/resumes and academic credentials. Technical Evaluation: Shortlisted candidates will be invited for a technical assessment covering topics in data science, analytics, and teaching pedagogy. Teaching Demonstration: Candidates may be required to deliver a 15–20 minute lecture on a given topic to evaluate teaching ability and communication skills. Personal Interview: Final round with the academic committee to assess subject knowledge, research orientation, and fitment to the institutional goals. Document Verification: Submission and verification of academic and professional credentials. Interview mode: Online/Offline (to be communicated via email to shortlisted candidates). Interview dates: 10th to 15th June 2025. (Final selection list will be published on the institutional website by 30th June 2025). Note: Candidates are advised to ensure the accuracy of their contact information and regularly check their registered email ID for updates. Contact details: Mr. S. Rupas Kumar, Director - HR & Finance, Public Administration, 4-7-40/2/A/NR, 3rd & 4th Floor, SMS Plaza, Bapuji Nagar, Main Road Nacharam, Hyderabad, Telangana, India. Pin – 500076. Email: rupas@mannabiotech.com website : www.mannabiotech.com Show more Show less

Greetings From Sri Sai Medicode Clinical Data Management Freshers Location - Tirupati Only.. Offline Training With Placement Qualification - Any Life sciences Graduates Only CV's On Mail - srisaimedicode@gmail.com Clinical Research Also

We are in search of a Lead Data Scientist to become an integral part of our team, significantly impacting biomarker discovery and translational research. Joining a forward-thinking organization, the ideal candidate will apply their deep knowledge in biology, clinical trial analysis, statistics, and bioinformatics to elevate our platform's performance, delivering crucial insights that support oncology drug development and enhance patient outcomes. Responsibilities Apply knowledge of molecular biology, clinical trial analysis, bioinformatics, and statistics to develop sophisticated biomarker analysis pipelines Elevate and maintain computational pipelines utilizing Python, Nextflow, and SQL databases Present scientific findings in easily understandable formats Collaborate with biologists, bioinformaticians, statisticians, and engineers to customize computational methods according to clinical and biological specifications Clearly communicate methodologies and results to a varied audience Employ AI and prompt engineering to advance biomarker discovery initiatives Deploy flexible AI solutions to address computational challenges Ensure computational and statistical methods are robust, reproducible, and maintain scientific integrity Continually update knowledge to remain at the cutting edge of computational biology, AI, and translational research Requirements Bachelor’s and advanced degrees (MSc or PhD) in bioinformatics, computational biology, statistics, or related disciplines with a strong academic foundation Over 5 years of problem-solving expertise in bioinformatics and data science with a focus on biomarker development Over 1 year of pertinent leadership experience Established expertise in clinical trial data analysis Proficiency in statistical techniques and machine learning methods, including survival analysis, Random Forest, and Gradient Boosting Skills in Python and SQL, with some familiarity with Nextflow Demonstrated capability to develop automated data analysis workflows Strong competencies in data integration and manipulation Fluent English communication skills at a B2+ level Nice to have Demonstrated expertise in AI technologies Ability to lead multidisciplinary project teams Background in using Amazon Web Services We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are in search of a Lead Data Scientist to become an integral part of our team, significantly impacting biomarker discovery and translational research. Joining a forward-thinking organization, the ideal candidate will apply their deep knowledge in biology, clinical trial analysis, statistics, and bioinformatics to elevate our platform's performance, delivering crucial insights that support oncology drug development and enhance patient outcomes. Responsibilities Apply knowledge of molecular biology, clinical trial analysis, bioinformatics, and statistics to develop sophisticated biomarker analysis pipelines Elevate and maintain computational pipelines utilizing Python, Nextflow, and SQL databases Present scientific findings in easily understandable formats Collaborate with biologists, bioinformaticians, statisticians, and engineers to customize computational methods according to clinical and biological specifications Clearly communicate methodologies and results to a varied audience Employ AI and prompt engineering to advance biomarker discovery initiatives Deploy flexible AI solutions to address computational challenges Ensure computational and statistical methods are robust, reproducible, and maintain scientific integrity Continually update knowledge to remain at the cutting edge of computational biology, AI, and translational research Requirements Bachelor’s and advanced degrees (MSc or PhD) in bioinformatics, computational biology, statistics, or related disciplines with a strong academic foundation Over 5 years of problem-solving expertise in bioinformatics and data science with a focus on biomarker development Over 1 year of pertinent leadership experience Established expertise in clinical trial data analysis Proficiency in statistical techniques and machine learning methods, including survival analysis, Random Forest, and Gradient Boosting Skills in Python and SQL, with some familiarity with Nextflow Demonstrated capability to develop automated data analysis workflows Strong competencies in data integration and manipulation Fluent English communication skills at a B2+ level Nice to have Demonstrated expertise in AI technologies Ability to lead multidisciplinary project teams Background in using Amazon Web Services We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

Applications are invited for the posts of Lecturer, Assistant Professor, Associate Professor, and Professor in the following specializations: Renal Dialysis Bio-informatics Emergency Services Biochemistry (preferably Clinical Biochemistry) Cardiac Sciences AT - OT Clinical Embryology / Reproductive Biology Physiology Neurosciences Clinical Neurology Qualification and Experience should be as per UGC norms. Salary will not be a constraint for deserving candidates. Kindly Apply on Email Id :- khushal.bansode32084@paruluniversity.ac.in Deadline:- 7 days

Applications are invited for the posts of Lecturer, Assistant Professor, Associate Professor, and Professor in the following specializations: Renal Dialysis Bio-informatics Neurology Emergency Services Biochemistry (preferably Clinical Biochemistry) Cardiac Sciences AT - OT Clinical Embryology / Reproductive Biology Physiology Neurosciences Qualification and Experience should be as per UGC norms. Salary will not be a constraint for deserving candidates. Kindly Apply on Email Id :- khushal.bansode32084@paruluniversity.ac.in Deadline:- 7 days

Group Head- SKAN Bioinformatics Overview: SKAN is a Bengaluru-based not-for-profit medical research trust / research organisation that leverages transformational technologies to develop new therapies for ageing and neurological ailments, cardiovascular diseases, diabetes remission and lifestyle related disorders. SKAN applies its expertise in gut microbiome, genomics, stem cells, molecular biology, and alternate therapies to uncover kinder and gentler treatment protocols for ailments. Bioinformatics at SKAN vigorously pursues artificial intelligence, machine learning and other advanced technologies to predict, pre-empt, diagnose, treat, and facilitate remission of medical disorders. To strengthen our in-house data science capabilities and enable integrative analysis across multi-omics and clinical datasets, we are looking for a Group Head Bioinformatics . This role will be pivotal in driving data-led research insights, developing advanced computational pipelines, and supporting cross-functional scientific teams including partner teams. Job requirements Lead a dynamic, cross-disciplinary team of bioinformaticians. Shape and execute the bioinformatics vision in alignment with SKAN’s mission to drive impactful, translational research in areas such as genomics, gut microbiome, stem cells, and precision medicine. Carry out cutting edge research and provide expert-level bioinformatics support across genomics, proteomics, metabolomics, imaging, and AI/ML-driven analytics. Collaborate with wet-lab and clinical teams to enable integrative, data-led research. Develop and maintain scalable computational pipelines and analytical tools for multi-omics and image data. Drive innovation through the application of advanced statistical, machine learning, and AI approaches to biological data analysis. Establish and manage a core bioinformatics facility. Oversee computational infrastructure including high-performance computing (HPC), cloud platforms, and data architecture to support ongoing research needs. Ensure adherence to data security, FAIR principles, and regulatory compliance. Efficiently manage budgets, resources, and software systems to support sustainable growth of the bioinformatics capability. Qualifications and experience: PhD degree in bioinformatics, computational biology, genomics or a related field with at least 10 years of postdoctoral experience or M.Tech. degree from a reputed institute with 15 years of relevant work experience Demonstrated expertise and hands-on experience in genomics and metagenomics data analysis, evidenced by a strong track record of high-impact publications in reputed scientific journals Deep understanding of statistical and machine learning methods for biological data analysis and multi-omics integration Proven experience in developing algorithm-based solutions with potential for intellectual property generation, including copyrights and patents.

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, Physio, Nursing, Microbiology, Biochemistry, Biotechnology, Biology, Bio-Medical, Zoology, Bioinformatics, Botony, Nutrition & Dietetics Perks and benefits 12700/- to 14600/- PM Excluding Special Allowances

Senior Bioinformatics Engineer Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? ● Design, develop and maintain various Bioinformatics solutions for analyzing and managing Biological data as per our best practices and quality standards. ● Collaborate with Product Management and Software Engineers, to build bioinformatics solutions. ● Produce high quality and detailed documentation for all projects. ● Provide consultation and technical solutions to cross functional bioinformatics projects. ● Identify and/or conceive novel approaches to better and more efficiently analyze client and public datasets. ● Participate in defining the high-level application architecture for future roadmap requirements and features. ● Coach other team members by sharing domain and technical knowledge and code reviews. ● Participate in activities such hiring and onboarding. ● Work with cross-functional teams to ensure quality throughout the bioinformatics software and analytical pipelines development lifecycle. ● Ensure compliance with our SDLC process during product development. ● Stay up-to-date on technology to deliver quality at each phase of the product life-cycle. You take leadership in evangelizing technical excellence within the team. What do you bring to the table? ● Ph.D. degree with 3-5+ years of postdoc or industrial experience or Masters Degree with 5-8+ years of industrial experience in Bioinformatics, Computer Science, Bioengineering, Computational Biology or related field ● Excellent programming skills in Python and Shell scripting ● Experience with Relational database such as PostgreSQL, mySQL or Oracle ● Experience with version control systems such as GitHub. ● Experience with Linux/UNIX/Mac OS X based systems ● Experience with high-performance Linux cluster and cloud computing (AWS is preferred). ● Deep understanding of analytical approaches and tools for genomic data analysis along with familiarity with genomic databases. Candidates with proven expertise in the analysis of NGS data generated on sequencing platforms such as Illumina, Oxford Nanopore, or Thermo will be prioritized. ● Experience with open source bioinformatics tools and publicly available variant databases. ● Ability to manage moderately complex projects and initiatives. ● Exceptionally strong communication, data presentation and visualization skills. ● Personal initiative and ability to work effectively with in a cross functional team. ● Excellent communication skills and ability to learn and work independently when necessary. ● High energy and inquisitive and strong attention to detail Our Core Values People first. We create collaborative and supportive environments by operating with respect and flexibility to promote mental, emotional and physical health. We practice empathy by treating others the way they want to be treated and assuming positive intent. We are proud of our inclusive diverse team and humble ourselves to learn about and build our connection with each other. Patient focused. We act with swift determination without sacrificing our expectations of quality . We are driven by providing exceptional solutions for our customers to positively impact patient lives. Considering what is at stake, we challenge ourselves to develop the best solution, not just the easy one. Integrity. We hold ourselves accountable and strive for transparent communication to build trust amongst ourselves and our customers. We take ownership of our results as we know what we do matters and collectively we will change the healthcare industry. We are thoughtful and intentional with every customer interaction understanding the overall impact on human health. Curious. We ask questions and actively listen in order to learn and continuously improve . We embrace change and the opportunities it presents to make each other better. We strive to be on the cutting edge of science and technology innovation by encouraging creativity. Impactful. We take our social responsibility with the seriousness it deserves and hold ourselves to a high standard. We improve our sustainability by encouraging discussion and taking action as it relates to our natural, social and economic resource footprint. We are devoted to our humanitarian mission and look for new ways to make the world a better place. Velsera is an Equal Opportunity Employer: Velsera is proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, colour, gender, religion, marital status, domestic partner status, age, national origin or ancestry. Show more Show less

Job Summary: We are seeking a highly motivated and skilled Virology and Vaccine Development Scientist to join our team in the development of novel vaccines and antiviral strategies. The ideal candidate will have a strong background in virology, immunology, and molecular biology, with hands-on experience in pathogen research, vaccine design, and preclinical testing. Key Responsibilities: Conduct research on viral pathogens, including virus isolation, propagation, and characterization. Design and evaluate vaccine candidates (e.g., live-attenuated, inactivated, subunit, mRNA, or viral vector platforms). Perform in vitro and in vivo studies to assess immunogenicity and efficacy of vaccine candidates. Develop and optimize assays such as ELISA, PRNT, qPCR, Western blot, and neutralization tests. Collaborate with cross-functional teams including bioinformatics, regulatory affairs, and clinical development. Prepare research protocols, maintain lab records, and ensure compliance with biosafety and ethical standards. Analyze data and present findings in internal meetings, scientific conferences, and peer-reviewed journals. Stay updated on emerging viral threats and advancements in vaccine technologies. Qualifications: Education: PhD in Virology, Microbiology, Immunology, Molecular Biology, or a related field. Postdoctoral experience preferred (for senior roles). Skills and Experience: Proven experience in virological techniques and molecular cloning. Hands-on experience in vaccine development or antiviral drug screening. Familiarity with animal models of viral infection (e.g., mice, ferrets, non-human primates). Knowledge of regulatory requirements for preclinical and clinical vaccine development (e.g., FDA, EMA). Strong data analysis and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with BSL-2/BSL-3 laboratory environments. Experience with mRNA, viral vector, or adjuvant formulations. Familiarity with high-throughput screening or computational vaccine design. Work Environment: Lab-based with potential exposure to biohazardous materials. May require flexible hours to support project timelines. If interested share profiles on - srexec-hr@symbiosis.ac.in Show more Show less

TCS HIRING!! ROLE: Gen AI - AI/ML Engineer YEAR OF EXP: 7 + YEARS LOCATION: DELHI Responsibilities: - Fine-tune large language models (LLMs) like Llama for domain-specific applications. - Build LangChain workflows to orchestrate intelligent task handling and document retrieval. - Optimize model performance with hyperparameter tuning and efficient training on Nvidia GPUs. - Design and implement machine learning models for tasks like protein sequencing and structure prediction. Required Skills - Deep understanding of LLMs, fine-tuning, and retrieval-augmented generation workflows. - Proficiency in LangChain, Llama, and tools for hyperparameter optimization (e.g., Optuna, Ray Tune). - Knowledge of bioinformatics, particularly in protein sequencing and modeling. - Strong coding skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch). - Familiarity with GPU-based training environments (CUDA). Show more Show less

Job Title Assistant Professor - School of Computing Location Amaravati, Andhra Pradesh Required Number 17 Job Description Job Department Department of Computer Science Engineering Qualification As per AICTE Norms Job Description Research Areas of Specialization We are interested in candidates with expertise in, but not limited to, the following research areas: Artificial Intelligence and Machine Learning Data Base systems, Data Science and Big Data Analytics Cyber security Internet of Things Software Engineering Emerging Technologies (Block chain Technology, Quantum Computing ,etc.) Human-Computer Interaction Computer Networks High-Performance Computing Bioinformatics and Computational Biology Theoretical Computer Science Systems and Architectures Educational Technology Responsibilities Conducting research in the field of Computer Science Teaching and mentoring students in undergraduate and graduate programs Collaborating with academia and industry on research projects Publishing research findings in reputed conferences and journals Taking initiatives to contribute to the academic and research community Ready to offer project based courses for UG students. Ready to guide Ph.D. scholars. Ready working on various Academic Administrative committees. Requirements Strong fundamentals in Computer Science and Engineering Strong Mathematical and Programming skills Demonstrated research experience in relevant areas Proven track record of taking initiatives and driving projects Good communication and interpersonal skills Demonstrated ability to work effectively in a team and collaborate with colleagues Commitment to upholding the values and mission of the department and university. Job Category Teaching Last Date to Apply June 30, 2025 Show more Show less

Job Description ----------------------------------------------- Job Description: Lead Data Scientist – Healthcare Domain Specialist Location: Bangalore Company: RT Global Infosolutions Pvt Ltd (www.rgisol.com) Employment Type: Full-Time Industry: Healthcare/AI/Analytics Domain Expertise: Predictive Analytics, Healthcare Data As a key leader in our data science team, you will define strategy, lead projects, and collaborate with healthcare professionals, engineers, and product teams to deploy scalable AI solutions. Key Responsibilities • AI Model Development: Design, develop, and optimize predictive models for elderly fall risk assessment using advanced machine learning (ML) and deep learning techniques. • Data Analysis: Work with healthcare-specific data (e.g., patient records, sensor data, clinical data) to uncover patterns and actionable insights. • Domain Expertise Application: Leverage healthcare domain knowledge to ensure accuracy, reliability, and ethical use of models in predicting fall risks. • Collaborate with Experts: Collaborate with clinicians, healthcare providers, and crossfunctional teams to align AI solutions with clinical workflows and patient care strategies. • Data Engineering: Develop robust ETL pipelines to preprocess and integrate healthcare data from multiple sources, ensuring data quality and compliance. • Evaluation & Optimization: Continuously evaluate model performance and refine algorithms to achieve high accuracy and generalizability. • Compliance & Ethics: Ensure compliance with healthcare data regulations such as HIPAA, GDPR, and implement best practices for data privacy and security. • Research & Innovation: Stay updated with the latest research in healthcare AI, predictive analytics, and elderly care solutions, integrating new techniques as applicable. • Team Management: Guide all team members in technical and domain-specific problemsolving, manage day to day task deliverables, evaluate individual’s performance and coach. • Stakeholder Management: Present insights, models, and business impact assessments to senior leadership and healthcare stakeholders. Required Skills & Qualifications • Education: Master's or PhD in Data Science, Computer Science, Statistics, Bioinformatics, or a related field. A strong academic background in healthcare is preferred. • Experience: o 8 - 11 years of experience in data science, with at least 2 years in the healthcare domain. o Prior experience in leading AI projects in healthcare startups, hospitals, or MedTech companies. o Ability to work in cross-functional teams. o Ability to publish papers and research findings related to healthcare data science • Technical Expertise: o Proficiency in Python, R, or other programming languages used for ML and data analysis. o Hands-on experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Scikitlearn). o Experience with time-series data, wearable/sensor data, or IoT data integration is a plus. o Strong knowledge of statistics, probability, and feature engineering. o Familiarity with cloud platforms (AWS, Azure, GCP) and tools for scalable ML pipelines. • Healthcare Domain Knowledge: o Understanding of geriatric healthcare challenges, fall risks, and predictive care strategies. o Familiarity with Electronic Health Records (EHR), wearable devices, and sensor data. o Knowledge of healthcare data compliance (e.g., HIPAA, GDPR). • Soft Skills: o Strong analytical and problem-solving abilities. o Excellent communication skills to present findings to non-technical stakeholders. o A collaborative mindset to work with interdisciplinary teams. Preferred Qualifications • Knowledge of biomechanics or human movement analysis. • Experience with explainable AI (XAI) and interpretable ML models. What We Offer • Opportunity to work on cutting-edge healthcare AI solutions that make a meaningful impact on elderly lives. • Competitive salary and benefits package. • Flexible work environment, with options for hybrid work. • Opportunities for professional growth and leadership. • Collaborative and inclusive culture that values innovation and teamwork. Show more Show less

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, Physio, Nursing, Microbiology, Biochemistry, Biotechnology, Biology, Bio-Medical, Zoology, Bioinformatics, Botony, Nutrition & Dietetics Perks and benefits 12700/- to 14600/- PM Excluding Special Allowances

Summary The Principal Developer will work as part of an interdisciplinary team to develop solutions and tools that enable associates working on analyses and reporting activities in clinical trials. They will work across Advance Quantitative Sciences (AQS)to gain an appreciation of the user experience today and work with Product Owners to deliver progress in high impact areas. This role will focus on enabling the use of open-source tools across the spectrum of activities in AQS. About The Role Major accountabilities: Responsible and accountable for the development of technical tools (packages, applications, etc.) that enable clinical trial teams. Active participation in the full development cycle of tools from gathering user requirements, prototyping, demos and to training and support. Engagement in the user experience of our associates to identify and drive opportunities for continuous improvement and modernization Contribute to the evolution and uptake of good data science practices Documentation of tools and processes to support modernization in an inclusive manner Appetite to engage in external communities and showcase our work in external settings Key Performance Indicators Timely execution of of projects and data requests -Feedback from project sponsors and key stakeholders Minimum Requirements Work Experience: MSc with 5+yrs relevant experience in a quantitative / computational science (e.g. bioinformatics, machine learning, statistics, physics, mathematics, engineering...) with some relevant work experience as a data scientist / biostatistician Strong experience with open-source language/s (R or Python) for data wrangling, analyses and exploration Experience in good data science practices (virtual environments, versioning, code review etc.) Solution-oriented mindset with a collaborative spirit Good written English 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 Title: Senior Bioinformatician GCL: D2 Introduction to role Are you ready to tackle some of the most challenging informatics problems in the drug discovery clinical trial phaseJoin us as a Senior Bioinformatician and be part of a team that is redefining healthcare. Your work will directly impact millions of patients by advancing the standard of drug discovery through data processing, analysis, and algorithm development. Collaborate with informaticians, data scientists, and engineers to deliver ground breaking solutions that drive scientific insights and improve the quality of candidate drugs. Are you up for the challenge Accountabilities Collaborate with scientific colleagues across AstraZeneca to ensure informatics and advanced analytics solutions meet RD needs. Develop and deliver informatics solutions using agile methodologies, including pipelining approaches and algorithm development. Contribute to multi-omics drug projects with downstream analysis and data analytics. Create, benchmark, and deploy scalable data workflows for genome assembly, variant calling, annotation, and more. Implement CI/CD practices for pipeline development across cloud-based and HPC environments. Apply cloud computing platforms like AWS for pipeline execution and data storage. Explore opportunities to apply AI ML in informatics. Engage with external peers and software providers to apply the latest methods to business problems. Work closely with data scientists and platform teams to deliver scientific insights. Collaborate with informatics colleagues in our Global Innovation and Technology Centre. Essential Skills/Experience Masters/PhD (or equivalent) in Bioinformatics, Computational Biology, AI/ML, Genomics, Systems Biology, Biomedical Informatics, or related field with a demonstrable record of informatics and Image analysis delivery in a biopharmaceutical setting. Strong coding and software engineering skills such as Python, R, Scripting, Nextflow. Over 6 years of experience in Image analysis/bioinformatics, with a focus on Image/NGS data analysis and Nextflow (DSL2) pipeline development. Proficiency in cloud platforms preferably AWS (e.g. S3, EC2, Batch, EBS, EFS etc) and containerization tools (Docker, Singularity). Experience with workflow management tools and CI/CD practices in Image analysis and bioinformatics (Git, GitHub, GitLab), HPC in AWS. Experience in working with any multi-omics analysis (Transcriptomics, single cell and CRISPR etc ) or Image data (DICOM, WSI etc) analysis. Experience working with any Omics tools and databases such as NCBI, PubMED, UCSC genome databrowser, bedtools, samtools, Picard or imaging relevant tools such as CellProfiler, HALO, VisioPharm particularly in digital pathology and biomarker research. Strong communication skills, with the ability to collaborate effectively with team members and partners to achieve objectives. Desirable Skills/Experience Experience in Omics or Imaging data analysis in a Biopharmaceutical setting. Knowledge of Dockers, Kubernetes for container orchestration. Experience with other workflow management systems, such as (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions). Familiarity with web-based bioinformatics tools (e.g., RShiny, Jupyter). Experience with working in GxP-validated environments. Experience administering and optimising a HPC job scheduler (e.g. SLURM). Experience with configuration automation and infrastructure as code (e.g. Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer Kit). Experience deploying infrastructure and code to public cloud, especially AWS. At AstraZeneca, we are driven by a shared purpose to push the boundaries of science and develop life-changing medicines. Our innovative approach combines ground breaking science with leading digital technology platforms to empower our teams to perform at their best. We foster an environment where you can explore new solutions and experiment with groundbreaking technology. With countless opportunities for learning and growth, youll be part of a diverse team that works multi-functionally to make a meaningful impact on patients lives. Ready to make a differenceApply now to join our team as a Senior Bioinformatician! Date Posted 23-May-2025 Closing Date 13-Jun-2025

Job title: R&D Data Steward Manager Associate Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Main Responsibilities Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Influence, design, and document data governance policies, standards and procedures for R&D data Drive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc) Understand and adopt data management tools such as R&D data catalogue, etc Develop effective data sharing artifacts for appropriate usage of data across R&D data domains Ensure the seamless running of the data-related activities and verify data standard application from ingest through access Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported Deliverables Defines Data quality and communication metrics for assigned domains and 1-2 business functions Implements continuous improvement opportunities such as functional training Accountable for data quality and data management activities for the assigned domains. Facilitates data issue resolution Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadata Leads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality Regularly communicates with other data leads, expert Data Steward and escalates issues as appropriate About You Experience in Business Data Management, Information Architecture, Technology, or related fields Experience in bioinformatics is preferred, life sciences industry or academia is mandatory. Demonstrated ability to understand end-to-end data use and needs ,Knowledge of R&D data domains (e.g., across research, clinical, regulatory etc) Solid grasp of data governance practices and track record of implementation ,Ability to understand data processes and requirements, particularly in R&D at an enterprise level Demonstrated strong attention to detail, quality, time management and customer focus ,Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills ,Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) ,People management skills either in matrix or direct line function Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not required ,Knowledge of pharma R&D industry regulations and compliance requirements related to data governance Education: Candidates should have an educational background in biological sciences (biology or chemistry) null Show more Show less

Job Title: Assistant Professor / Associate Professor – Department of Bio-Engineering Location: School of Engineering & Technology, MIT World Peace University, Pune MIT World Peace University (MIT-WPU) invites applications for the position of Assistant Professor / Associate Professor in the Department of Bio-Engineering . We are looking for passionate educators and researchers committed to fostering academic excellence, innovation, and research in the rapidly evolving field of Bio-Engineering. Specializations Required: Immunology Genetics Biochemistry Bioinformatics Eligibility Criteria: Ph.D. from IITs, Top 50 NIRF-ranked institutions, or reputed overseas universities B.Tech in a relevant field | M.Tech in BioEngineering or allied areas Strong academic background with a proven record of research and publications in relevant fields Responsibilities: Deliver high-quality lectures and academic content Supervise and mentor students in their academic and research endeavors Contribute to the development of the department’s curriculum Engage in research and scholarly activities, including publishing in reputed journals Collaborate with other departments and external research institutions Application Process: Interested candidates are invited to send their CV along with relevant documents to: 📧 jidnyasa.jain.ve@mitwpu.edu.in Join MIT-WPU and be part of a vibrant academic ecosystem where innovation meets purpose, and every opportunity is an avenue for growth! Show more Show less

Department Biology Salary £31,637 - £45,413 Grade Grade 5/6 Contract status Fixed term Hours of work Full-time Based at University of York campus Posted Date 23/05/2025 Apply by 08/06/2025 Job Reference 14116 Documents JD - Technical Specialist (grade 6) - Alphey Lab.pdf (PDF, 337.48kb) JD - Technician (Grade 5) - Alphey Lab.pdf (PDF, 338.19kb) Role Description Department This is an exciting opportunity to join an ongoing project funded by a UKRI-BBSRC Mission Award to develop engineered (gene editing, transgenesis) strains of Black Soldier Fly (Hermetia illucens BSF). BSF has increasingly been gaining attention because of its usefulness for recycling organic waste and as a low-carbon source of protein and lipids. However, the wildtype insects lack some desirable characteristics; adjusting their genetics (gene editing or transgenesis) could potentially expand their capabilities. The post arises due to maternity leave (June 2025-Feb 2026, inclusive) of a current staff member. The post-holder will join an existing project team within Prof Alphey’s wider group, collaborating as part of this project with Prof Neil Bruce’s group in the Centre for Novel Agricultural Products (CNAP), also in Dept of Biology. Prof Alphey led the world’s first releases of engineered mosquitoes while at Oxitec, a spin-out from the University of Oxford that he co-founded, and subsequently worked at The Pirbright Institute before moving to York in August 2022. Being part of an ongoing project, start date is negotiable but potentially immediately after completion of the recruitment process. Role The core of the project is to develop and test components, modules and systems for gene drives in An. stephensi. Correspondingly, the main component of the role is insect genetic studies (development of new transgenic/gene edited strains, rearing and colony maintenance, phenotypic analysis, experimental design and statistical analysis). Additional responsibilities include some molecular biology (assisting with development of novel plasmids, preparing DNA for mosquito injections, molecular analysis of transgenic strains), communicating progress and data including assisting with manuscript preparation, and training/supervising other staff/students as required. Skills, Experience & Qualification Needed Grade 5: HNC, HND, undergraduate degree, or equivalent experience Grade 6: Undergraduate degree, or equivalent relevant experience Ability to perform complex technical tasks to a consistent high standard with attention to detail, conforming with relevant safety regulations and procedures Project-relevant experience, e.g. insect synthetic biology, rearing, transformation, gene editing, bioinformatics, molecular biology, fatty acid analysis Dependable, reliable and self-motivated; good interpersonal skills; able to work as part of a team Interview date: to be confirmed For informal enquiries: please contact Prof Luke Alphey (luke.alphey@york.ac.uk) The University strives to be diverse and inclusive – a place where we can ALL be ourselves. We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University. We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork Show more Show less

The Principal Developer will work as part of an interdisciplinary team to develop solutions and tools that enable associates working on analyses and reporting activities in clinical trials. They will work across Advance Quantitative Sciences (AQS)to gain an appreciation of the user experience today and work with Product Owners to deliver progress in high impact areas. This role will focus on enabling the use of open-source tools across the spectrum of activities in AQS. Major accountabilities: Responsible and accountable for the development of technical tools (packages, applications, etc) that enable clinical trial teams. Active participation in the full development cycle of tools from gathering user requirements, prototyping, demos and to training and support. Engagement in the user experience of our associates to identify and drive opportunities for continuous improvement and modernization Contribute to the evolution and uptake of good data science practices Documentation of tools and processes to support modernization in an inclusive manner Appetite to engage in external communities and showcase our work in external settings Key performance indicators: Timely execution of of projects and data requests -Feedback from project sponsors and key stakeholders Minimum Requirements: Work Experience: MSc with 5+yrs relevant experience in a quantitative / computational science (eg bioinformatics, machine learning, statistics, physics, mathematics, engineering...) with some relevant work experience as a data scientist / biostatistician Strong experience with open-source language/s (R or Python) for data wrangling, analyses and exploration Experience in good data science practices (virtual environments, versioning, code review etc) Solution-oriented mindset with a collaborative spirit Good written English

Novartis Biomedical Research is seeking an experienced and highly motivated data and MLOps scientist/engineer/wizard to help us push the frontiers of data science and machine learning for Life Sciences and drug discovery. Within the Research Informatics division on Biomedical Research, you will take on a hands-on data scientist role at the intersection of science, RD and real-world impact. You will be a part of a truly unique organization with an inter-disciplinary team made up of accomplished scientists who are at the forefront of AI/ML in drug discovery. You will have the opportunity to shape the next wave of drug discovery, combining insights from a wealth of data modalities including various omics datasets (genomics, transcriptomics, proteomics), spatial omics technologies, compound structures, protein sequences and structures, compound activity, protein structures, measurements from cellular experiments and safety studies, histopathology, clinical imaging, and clinical readouts. This is a senior individual contributor role and will require demonstrated and current hands-on experience in Python, R, cli/shell scripting, diverse ML workflows, who can perform under minimum supervision in a highly collaborative environment. Key Responsibilities: Collaborate closely with data scientists and subject-matter experts to fulfill data and computational needs. Validate and ensure the accuracy and quality of data by cleaning, shaping, and sometimes analyzing, normalizing, and conforming it to existing models and vocabularies. Identify and rectify data inconsistencies and irregularities. Design data models and prepare data artifacts to effectively meet business needs. Promote culture of transparency and communication regarding data modifications, lineage, and definitions to all stakeholders Essential Requirements : Python and/or R, and any other scripting language. Experience with HPC, cloud (AWS) workflows, setup and deployments. Experience deploying ML models along with resolving package dependencies) from github, huggingface, etc, successfully. Experience with DevOps, MLOps Demonstrable data management expertise in relational, document, column and graph datastores. Experience building ETL processes in high-performance environments like Databricks, AWS, Snowflake. Experience with python ML frameworks: Pytorch, tensorflow is a plus. Experience with several bioinformatics tools for sequence matching, alignment, clustering is a plus. data imputation and visualisation methods. Strong background in extracting relevant data from diverse sources (excel sheets, powerpoint, csv, database queries, etc) with varying formats and potentially missing or mislabeled information. Experience and familiarity with various data types, including images, tabular, unstructured, and text. Experience working with other subject matter experts to actively solicit information needed to harmonise datasets into machine learnable form. Experience in document mining and processing diverse data sources. Experience working with several large public scientific (preferably biology-related) data sources is a plus. Experience with validating the data accuracy and quality of data by cleaning, shaping, analyzing, normalizing, and conforming it to existing models and vocabularies. Strong interest in the latest relevant literature and application of ML and data science to the biological sciences, is a plus. Understanding and working vocabulary about common machine-learning concepts (training sets vs. test sets, over/under fitting, bias, annotations, feature extraction, RAG, LLMs, classifiers, and so on) Excellent English-language oral and written communication skills. Proactive communication habits: asking questions and seeking clarifications when necessary. Desirable Requirements: BS in Computer Science, Informatics or similar, or equivalent practical experience. Fluency in English

As a Data Science expert, you will join our Modeling Simulation Data Science team in the Translational Medicine Unit and help us to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to effectively harness the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data generated within our department and master the use of our in-house applications and state-of-the-art machine learning (ML) methods and statistical techniques to accelerate drug design. Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team Your responsibilities will include, but are not limited to: Act as the MS Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guid e decisions such as compound progression and in vivo study prioritization Master and advocate the use of in silico models and in-house tools , applications and data to accelerate and streamline decision making Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, RNAs Identify opportunities to create custom, project- or modality-specific in silico models and data strategy , and contribute to their development and implementation Proactively seek opportunities to increase the impact and awareness of MS Data Science through clear and concise communications with internal and external audiences or various expertise M onitor and stay up to date on developments within the field of AI/ML applied to ADME and PK/PD, and data science methods applied to drug discovery Essential requirements: Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences , data science , computational biology , computational chemistry or related field ) PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes Experience in the application of (reproducible) data science methods , tools and practices to drug discovery Strong understanding of statistics , machine learning and deep learning Demonstrated knowledge of data visualization and exploratory analysis Solid skills in programming languages, ie Python and R, including software development practices such as version control, testing, documentation, etc . Knowledge of machine le a rning/deep learning libraries such as scikit-learn, keras or pytorch Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language) Desirable : Expertise with discovery-stage PK modeling for small molecule compounds (eg, relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus Experience with generative algorithms and explainable AI Languages : English.

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