621 Bioinformatics Jobs - Page 11

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

Artemis Education and Research Foundation Applications are invited on contractual basis for the post of Project Research Scientist-I in an ICMR funded Project (IIRP-2023-6761/F1) under the project Understanding the molecular mechanisms predisposing colistin heteroresistance in Klebsiella pneumoniae clinical isolates Name of Post: Project Research Scientist-I No. of position : 1 Essential Qualification: First Class Post Graduate Degree, including the integrated PG degree in Bioinformatics, with three Years Experience or PhD. OR Second Class Post Graduate Degree, including the integrated PG degree in Bioinformatics, with PhD and three years Experience Desirable Qualification: Experience in bioinformatics data analysis (identification of mutations, resistance genes, sequence typing etc) Salary : Rs. 67,200/- Last date for submission of application: 31st July 2025

Job Summary We are seeking a skilled In Vitro Statistician with 2-7 years of experience to support our research and development teams in statistical analysis of in vitro studies. The ideal candidate will be responsible for designing experiments, analyzing data, and providing statistical insights to support decision-making in pharmaceutical, biotechnology, or life sciences research. Key Responsibilities: Design, develop, and analyze in vitro study experiments, ensuring statistical rigor and accuracy. Apply appropriate statistical models and methodologies for data interpretation. Work closely with scientists, biologists, and researchers to provide statistical guidance in study design and result evaluation. Utilize statistical software (e.g., SAS, R, JMP, or Python) to conduct data analysis, visualization, and reporting. Validate and verify data integrity, ensuring compliance with regulatory guidelines (FDA, ICH, GLP). Develop and review statistical analysis plans (SAPs), study protocols, and technical reports. Support regulatory submissions by preparing statistical documentation and reports. Stay updated with the latest statistical methods and best practices in in vitro research. Required Qualifications & Skills: Master’s or Ph.D. in Statistics, Biostatistics, Bioinformatics, or a related field. 2-7 years of experience in statistical analysis of in vitro studies, preferably in the pharmaceutical, biotechnology, or life sciences sector. Strong knowledge of experimental design, regression models, ANOVA, DOE, and multivariate analysis. Proficiency in statistical software (SAS, R, JMP, Python, or equivalent). Experience with data visualization, trend analysis, and predictive modeling. Understanding of regulatory requirements and compliance standards (FDA, ICH, GLP). Excellent communication skills to present findings to cross-functional teams. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience in bioassays, pharmacokinetics, biomarker analysis, or toxicology studies. Familiarity with machine learning and AI-based statistical modeling. Knowledge of clinical and preclinical statistical applications.

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

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

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

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

Job Description Senior Specialist, Precision Medicine , Oncology Global Commercial Pipeline Analytics, HHDDA Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Senior Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Precision Medicine Marketing team to inform current and future pipeline biomarker strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead development of analytics capabilities for the precision medicine and companion diagnostic priorities enabling the oncology new asset pipeline. The successful candidate will ’connect the dots’ across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities Global Commercial Pipeline Analytics Develop commercial insights, solutions, business cases and market evaluation to support decision making for Global Precision Medicine in Oncology, utilizing deep data-driven analytics. Stakeholder Collaboration Partner with global marketing teams and other cross-functional teams to inform strategic reviews of precision medicine and companion diagnostics through all phases of pipeline asset development. Communication and Transparency Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the precision medicine priority business questions. Analytics and Benchmarking Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform precision medicine development choices. Required Experience And Skills Bachelor's degree, preferably in a scientific, engineering, or business-related field. Overall experience of 8+ years, with 4+ years of relevant experience in oncology commercialization, advanced analytics, bioinformatics, precision medicine, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting secondary data analytics on large datasets using relevant skills and visual analytics tools e.g., excel VBA, Python coding, SQL, PowerBI Deep understanding of commercial Oncology data ecosystem e.g., Epidemiology datasets biomarker data, commercialization and real-world datasets Strategic thinker who can be consultative, collaborative and “engage as equals.” Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience And Skills Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Therapeutic area experience in Oncology and/or precision medicine and companion diagnostics preferred Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (e.g. PowerBI) Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/20/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R336909

Designation: Computational Biologist Full Time Opportunity Location: Full Time Job Description: - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools. Location - Bangalore,Cochin,Kochi,Hyderabad,Karnataka,Kerala,Telangana

Requirements:- # Hands on programming experience in Python language and framework like Django # Integrate external libraries, APIs, and databases into Python frameworks # Experience in Python libraries Numpy,Pandas # Develop scalable algorithms and computational methods to process, analyze, and interpret biological data sets # Collaborate with cross-functional teams to design and implement Python-based bioinformatics tools and pipelines # Inquisitiveness to learn and good problem solving ability # Hard working and ready to contribute R & D bioinformatics lab # Knowledge of algorithm development, statistical analysis, and machine learning techniques applied to biological data is a plus # Integrate external libraries, APIs, and databases into Python frameworks # Experience in Python libraries Numpy,Pandas # Develop scalable algorithms and computational methods to process, analyze, and interpret biological data sets # Collaborate with cross-functional teams to design and implement Python-based bioinformatics tools and pipelines # Inquisitiveness to learn and good problem solving ability # Hard working and ready to contribute R & D bioinformatics lab # Knowledge of algorithm development, statistical analysis, and machine learning techniques applied to biological data is a plus Role:- You will be a part of current development team and will play a part developing applications as a part of internal products , research development and client product Development.

Summary Partner with scientists and informatics to modernize research systems. Deliver solutions that support exploratory drug discovery. Translate scientific needs into informatics strategies. Ensure alignment with design standards and business goals. Drive planning, design, and delivery of impactful tools. About the Role Novartis Biomedical Research (BR) is the global pharmaceutical research organization of Novartis. With approximately 5, 400 scientists and physicians around the world, our research is focused on discovering innovative new drugs that will change the practice of medicine. We have an open and entrepreneurial culture, encouraging collaboration to make effective therapies. At BR, our mission is to discover innovative medicines that treat disease and human health. To do that, our scientists need cutting-edge, state-of-the-art data and computing systems and a high degree of data fluency. Come join our Research Informatics team in one of the most distinguished Pharma research organizations in the world. Become part of our newly established Data Ingestion team and contribute to shaping a world-class data ingestion capability. Purpose of the Role : Collaborate closely with scientists and Biomedical Research Informatics members to redefine informatics systems and address challenges from cutting-edge research. Contribute to planning, design, development, and delivery of system solutions aligned with design standards and business requirements. Major Accountabilities : Accountable for gathering user requirements and understanding business processes within clinical and pre-clinical domains to guide development and selection of appropriate software systems. Responsible for elicitation, definition, and documentation of all types of requirements (functional / non-functional / transitional / business) from various stakeholders with an integrated approach to design. Create clear, concise, and well-structured documentation for all business analysis relevant deliverables from initial planning, execution, and later production release. Identify problems and prospects by performing independent research and assessing best practices . Collaborate with and maintain a strong relationship with business stakeholders . Interview stakeholders at all levels in the organization to determine the goals, objectives , and parameters and processes to understand the problems to be solved . Organize and run requirements sessions and/or workshops with diverse groups of users . Identify and qualify new demand and assist with steering proposals through the early phases of approval . Liaise with research scientists and communities to define and identify the right solutions . Support scientific research with software systems that capture experimental design (non- Gxp / GxP ) , enable data analysis and interpretation . Work closely with cross-functional groups (User Researcher, UX Design, Product Management), in a highly matrixed organization to build constructive and effective relationships throughout the whole organization . Ensure adherence to Novartis global Information Security and Quality standards and policies for all products/services. Experience Requirements (Core Skills and Capabilities): Experience in GxP / validated systems, especially clinical . Excellent presentation and facilitation skills. Professional communication with stakeholders, including demand and expectation management. Strong customer orientation and ability to map customer needs to enterprise system s and data . Experience in agile environments (SCRUM/Kanban) using tools like Jira and Confluence. Capable to collaborate with a community of research scientists to analyze, understand, ideate, and define solutions . Understanding of product roadmaps, product vision & scope and supporting Product Managers in defining these deliverables . Strong ability to handle multiple assignments at one time while working independently and effectively under deadlines . Ability to work independently and/or as part of a team . Education and Qualification Requirements : Advanced degrees in biology, biotechnology, bioinformatics, or computer science, ideally with exposure to drug discovery. 3-5 years of experience in a scientific or biotech environment for software system design and implementation. Formal experience or certification as a Business Analyst. Language Requirements : Highly proficient in verbal & written English Commitment to Diversity & Inclusion: We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. 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:

Role Overview We are seeking a highly motivated AI Researcher with a Ph.D. in Mathematics or Physics to join our research team. You will contribute to the development of cutting-edge AI models applied to biological data, collaborating with scientists and engineers to drive discovery and innovation. Develop, analyze, and optimize advanced machine learning models, including deep learning and probabilistic models, tailored to biomedical applications. Conduct theoretical and applied research bridging mathematics/physics with biological systems and data. Collaborate with domain experts to frame complex biological challenges into solvable AI problems. Design and implement experiments to validate model performance on real-world biological datasets (e.g., genomics, proteomics, medical imaging). Publish findings in top-tier journals and conferences, and contribute to patents and IP development. Stay current with the latest research in AI, applied mathematics, and computational biology. Qualifications Ph.D. in Mathematics, Physics, or a closely related field. Strong background in one or more of the following: statistical mechanics, optimization, information theory, Bayesian inference, or numerical modeling. Solid programming skills in Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, JAX). Ability to work with large-scale, high-dimensional datasets. Excellent problem-solving and mathematical modeling skills. Strong communication skills and the ability to work in an interdisciplinary team. Preferred Qualifications Experience with AI applications in biology, chemistry, or healthcare. Familiarity with bioinformatics tools and biological data formats (e.g., FASTA, VCF). Previous publications or projects in applied AI research.

As a Data Curator, you will be responsible for organizing, managing, and maintaining a diverse range of biological and clinical datasets. You will work closely with researchers, bioinformaticians, and software engineers to ensure data quality, accessibility, and compliance with industry standards. Your role will involve data collection, integration, annotation, and documentation to support research and clinical projects. Data Collection & Integration: Gather and integrate data from various sources, including genomic studies, clinical trials, EHRs, and public databases. Data Cleaning & Quality Control: Perform quality checks to ensure data accuracy, consistency, and completeness. Identify and correct errors and inconsistencies Data Annotation: Tag and categorize data to facilitate easy retrieval and analysis. Prepare data for specific research or clinical applications. Compliance: Ensure data handling practices comply with regulatory standards and ethical guidelines, including patient confidentiality and data security. Collaboration: Work with researchers, clinicians, software engineers and other stakeholders to understand their data needs and provide curated data for analysis and decision-making. Standards & Guidelines: Assist in the development and adherence to data standards and best practices. Ensure alignment with treatment guidelines and clinical standards. Communication: Good communication skills and ability to write and submit project proposals/grants to gain access to data Qualifications Educational Background: Bachelor s or Master s degree in Biology, Biotechnology, Bioinformatics, Health Informatics, Clinical Research, or related fields. Experience: Proven experience in data management, curation, or bioinformatics, with a background in biotech or clinical research preferred. Technical Skills: Experience with database management systems (e.g., SQL), data visualization tools, and programming languages (e.g., Python, R) a plus.

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in computational biology to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve developing and applying computational methods to integrate multi-omics data for disease modeling and understanding biological mechanisms. The successful candidate will have a PhD in computational biology, bioinformatics, systems biology, or a related field, with a deep understanding of analyzing large-scale biological datasets. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in computational biology to develop and refine disease models using diverse biological data. Integrate multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify key biological insights and mechanisms. Develop and implement computational pipelines and algorithms for the analysis of complex biological data from public and proprietary sources. Stay up to date with the latest advancements in computational biology, bioinformatics, and systems biology to incorporate cutting-edge research into disease modeling efforts. Collaboration & Project Management: Work closely with cross-functional teams, including disease domain experts, experimental scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational biology, bioinformatics, systems biology, or a closely related field. Strong expertise in analyzing and interpreting large-scale biological datasets, including genomics, transcriptomics, proteomics, or metabolomics. Solid understanding of disease biology, with the ability to contextualize computational findings within broader disease mechanisms. Proficiency in programming languages commonly used in computational biology (e.g., Python, R) and experience with relevant software tools and databases. Excellent verbal and written communication skills, with the ability to convey complex computational concepts clearly. Preferred: Experience with machine learning or artificial intelligence techniques applied to biological data. Previous experience working in a multidisciplinary research environment. Familiarity with cloud computing environments and high-performance computing. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational biology/bioinformatics in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational biology and disease modeling. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

At ThinkBio.Ai we are adding Intelligence to Digital Biology. We leverage our deep expertise in Biotech, Pharma, Health Sciences, and AI, along with our experience in software development to provide platforms, toolkits, and solutions. Excellent opportunities are available to engage in cutting edge research using engineered biology-based approaches and frontier emerging areas of synthetic biology, to create transformative contributions in human drug discovery and development. We are looking for an enthusiastic and energetic Data and Computational scientist with a passion for learning and impacting human lives through scientific discoveries. Key Responsibilities Help refine, develop, and build the data analytics and computational strategy for ThinkBio.Ai Develop and apply computational/statistical methods to analyze various inhouse and externally sourced data including those related to biological experiments or human population parameters such as disease burden, genetic variation, cause-effect association etc. Analyze complex multi-omics data sets across various parameters and connect insights and observations to actionable hypotheses. Synthesize provided data into actionable insights by supporting any needed computational, statistical, machine learning or modeling capabilities needed to enable strategic decision making and advance our clinical and research programs. Develop and apply tailored data analytical and computational methods/techniques to advance both our clinical and research programs. Develop novel computational platforms and pipelines to identify novel therapeutic targets, and to discover biomarkers for drug response, patient stratification Ability to integrate validated data analysis tools and pipelines from public resources to create robust data analysis and interpretation pipelines for visualization and integrative analysis, and interactive dashboards to create insightful visualization and interpretation of data. Work closely with other team members and partners to identify most critical data centered challenges and address them using cutting-edge computational, statistical and machine learning applications. Required Qualifications and Skills Ph.D. or Masters in Computer science, Data science, Statistics, Bioinformatics or related fields. 10+ years experience and technical expertise in applied bioinformatics, computational biology, data science or biostatistics. Robust working knowledge and application of data analysis and modeling, data wrangling and data visualization. Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, high throughput dataset analysis. Proficiency with R/ Bioconductor, Python or equivalents, and relational databases (SQL, NoSQL). First-hand experience in multi-parametric data mining, analysis and visualization in any biomedical application. Exposure to multi-parametric data mining experience for disease stratification/endotyping, target identification and biomarker analysis. Experience and understanding of how bioinformatics and data science can best be applied to speed up drug discovery. Basic understanding of biological concepts and a familiarity with drug development process Knowledge of bioinformatic tools and databases to analyze genomics and proteomics data Ability to manage projects with minimal supervision, using creative and analytical thinking. Ability to drive highly collaborative work across the organization and outside the company Excellent oral and written communication. Desirable Additional Experience Experience in one or more of the following areas is highly desirable, but not essential. Deeper knowledge/training/experience in biomedical field. A minimum of 1-year research (academia or industry) experience. Demonstrated experience in deep learning and generative AI model based approaches such as bioinformatics foundation models (BFMs). Experience in genomics, transcriptomics, Next Generation Sequencing (NGS) analysis, single cell RNAseq, flow cytometry or IHC based data processing. Experience working with one or more of the following disciplines: synthetic biology, comparative genomics, population genetics, probabilistic modeling, population genetics, and quantitative modeling of biological systems. Experience with one or more of the following: P Snakemake, Nextflow, airflow, CWL, relational databases (SQL), GraphQL, distributed computing (AWS/Google Cloud), Docker, software version control (git). Managing a data analytics and computational operating model that encompasses processes and technologies for executing scalable data management solutions for various data types.

: Experience required: 8+ years work exp Hands on development experience using Power automate Identify, design and educate team on latest coding practices with Power Automate Expertise in leading developers in using common utilities, best practices Expertise in defining machine groups and measuring utilization Hands on experience in streamlining BOT usage and machine deployments based on BOT runs Expertise in identifying common utilities and developing common components Experience in automating atleast one ERP system process (preferably JD Edwards) Expert knowledge in Data Gateway clustering and management Knowledge in managing Dataverse connections, optimizations and tuning Expert knowledge on entire tenant architecture of Power Platform for any organization Primary Tasks and responsibilities:- Responsible for providing consultation and delivery of application engagements Provides approval and acceptance of design and implements road maps for the shared environment to support an enterprise application. Maintenance and high level 3rd line support of specific solutions towards the client affiliates Key Users Analyze new business requirements and changes to existing functionalities. Translate the functional requirements into technical design, application configuration and testing efforts. Act as a project member for new releases, updates, go lives, etc. Works with Project Managers and internal team members in system design/implementation. Documenting all aspects of the system or application (e. g. process design, application configuration, test plans, etc. ) Non-Technical profile requirements:- Some flexibility in working hours is required (occasional over-time or weekend/holiday work) Accepts personal responsibility for client satisfaction. Strong tracking, coordination and project planning skills Establishes and manages engagement objectives, expectations and quality plan. Ability to identify and implement process and/or application improvements Strong analytical and problem-solving skills Must be able to work on multiple simultaneous tasks with limited supervision. Quick learner, motivated self-starter. Excellent customer service, interpersonal, communication and team collaboration skills. Able to follow change management procedures and internal guidelines. Methodology/Certification requirements:- Master and/or Bachelor Degree in Mathematics, Engineering, Computer Science, Chemistry or Bioinformatics OR equivalent through experience. Advanced course work in technical systems plus continued education in technical disciplines is preferred. Additional certification is a plusLanguage proficiencies- English spoken and written

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Brief Introduction: The Associate Consultant/Consultant - Forecasting is responsible for developing, delivering, and maintaining forecasts (patient-based, TRxbased, etc.) and business insights for PharmaACE’s clients. Responsibilities: Project Management: Play an integral role in executing analytics/consulting engagements through effective and efficient project management. Generate forecasts, analysis and actionable insights that lead to the achievement of strategic and financial goals for our clients. Manage and coordinate complex consulting engagements through strong client and people management, subject matter expertise, communication skills (both written and verbal), and the ability to draw conclusions and recommendations from a variety of evidence. Operate effectively as part of a global team, by participating and contributing to client discussions and proactively helping them with their decisions in creating and/or validating assumptions. Provide robust competitive assessments and insights that inform key decision-making processes for clients such as strategic brand planning, forecasting, and lifecycle management. Perform in-depth (secondary) market research and data analysis to derive understanding of the disease and patient segments based on client requirements. Analyse and integrate primary research and secondary data with other market knowledge to draw inferences and conclusions. Identify risks and opportunities for the business and support key decisions on business strategy with customer and market insights. Leverage all relevant data such as DRG/IQVIA to provide insights into forecast assumptions. Forge effective relationships with various stakeholders (both internal and external), e.g., teams running Market Research initiatives. Ensure effective delivery of work (models and presentations) to clients onsite or through video/teleconferences, through self and others in accordance with the project timelines and quality parameters. Convert Excel models into presentable reports and PowerPoint slides for effective utilization by clients, focusing on the storyboarding and narrative. Leadership: Will be responsible for overall leadership, talent development, skill advancement, and engagement and retention of talent in the team (in case acting in the capacity of a team lead). Foster learning mindset in the team to proactively develop research and story-telling skills, leveraging multiple sources of data to answer business questions. Develop new capabilities leveraging new sources of data and methods that include segment-level analysis, etc. Engage with internal and external stakeholders to build effective relationships to create win-win engagement models. Mentor/Guide team members who can benefit from your expertise and experience. Qualifications: Bachelors/Masters in Pharma / other life sciences background (Biotechnology, Bioinformatics, etc.) or bachelor’s in engineering / B. Tech or Master’s in Business Administration. 3-7 years of relevant forecasting and commercial analytics experience. Experience building financial models (e.g., market sizing, sales, and profit forecasts) using Microsoft Excel and other tools. In-depth expertise in developing, implementing, and managing holistic strategies for modelling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting) in collaboration with life sciences teams. Broad experience in key functional areas of CI, analytics, and market research including the ability to understand and identify key business levers. Strong strategic skills including ability to see the big picture, along with conceptual and out-of-the-box thinking. Work experience in the US/European pharma industry is a plus. Ability to balance conflicting priorities. Proven people management skills Other Competencies: Entrepreneurial orientation. Excellent interpersonal and communication skills (written and verbal). Innovative and collaborative behavior, team player. Customer centricity and paying attention to details

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

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

The University of Hong Kong Apply now Ref.: 531775 Work type: Full-time Department: School of Public Health (22400) Categories: Research Staff Hong Kong Research Assistant I/II (several posts) in the Division of Public Health Laboratory Sciences of the School of Public Health (Ref.: 531775) (to commence as soon as possible on a one-year temporary term or two-year fixed-term contract, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Bachelor’s degree or higher in microbiology, bioinformatics, biomedical science, medical science, chemistry or a related discipline. Applicants with experience in both wet and dry laboratory environments are welcome. Prior experience in areas such as deep learning, microbial genomic analysis, metagenomic sequencing, anti-microbial resistance studies or bacterial phage-related studies (including isolation, characterization, and application) is advantageous. Applicants should be responsible, self-motivated and capable of working independently as well as collaboratively within a team. Strong communication skills in English or Chinese are essential. The appointees will assist in projects related to genomic sequencing. They will train staff and students in next generation sequencing techniques. They will also provide research support to the research team, communicate with various laboratories based in China, and undertake any other duties as assigned. Enquiries about the duties of the post should be sent to Mr. Eric Yip at yiperic@hku.hk. Information about the School can be obtained at https://sph.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointments on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 10% of basic salary. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date CV, together with a cover letter and a list of relevant research publications. Review of applications will start on April 14, 2025 and continue until July 9, 2025 , or until the posts are filled, whichever is earlier. Advertised: Apr 10, 2025 (HK Time) Applications close: Jul 9, 2025 (HK Time) Back to search results Apply now Whatsapp Facebook LinkedIn Email App

0px> Who are we? In one sentence We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and GenAI initiatives at Amdocs Services CTO.In this role, you ll be part of a growing data science team working on advanced AI/GenAI technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation services solutions. What will your job look like? Research and develop innovative AI-powered capabilities.Rapidly prototype and iterate based on data insights and user feedback.Design and build data-driven solutions with a strong emphasis on practical impact and performance.Collaborate closely with Product, analysts, and engineers to deliver production-grade machine learning models.Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges. All you need is... At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline. Strong hands-on experience in Python with the focus being on statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings. Proven ability to build and deliver data solutions in a short time frame. Experience with Azure, docker, and development methodologies - an advantage Proven experiences in productions and DevOPS practices Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Job Summary We are seeking a Sr. Product Specialist with 6 to 10 years of experience in Oracle-IDE for PL/SQL Dev PL/SQL and Oracle PL/SQL. The ideal candidate will have a strong technical background and experience in Bioinformatics or Medical Devices is a plus. This hybrid role requires working during the day shift with no travel required. Responsibilities Develop and maintain PL/SQL code to support various applications and projects. Collaborate with cross-functional teams to gather and analyze requirements. Provide technical expertise in Oracle-IDE for PL/SQL development. Ensure the performance quality and responsiveness of applications. Troubleshoot and resolve complex technical issues related to PL/SQL. Optimize database performance and query execution. Conduct code reviews and provide constructive feedback to team members. Participate in the design and architecture of new features and enhancements. Maintain comprehensive documentation for all development activities. Stay updated with the latest industry trends and technologies. Contribute to continuous improvement initiatives within the team. Ensure compliance with company policies and industry regulations. Support the deployment and maintenance of applications in a hybrid work model. Qualifications Possess a strong technical background in Oracle-IDE for PL/SQL Dev PL/SQL and Oracle PL/SQL. Have experience in Bioinformatics or Medical Devices is a plus. Demonstrate excellent problem-solving and analytical skills. Exhibit strong communication and collaboration abilities. Show proficiency in optimizing database performance and query execution. Have a keen eye for detail and a commitment to quality. Display the ability to work effectively in a hybrid work model. Maintain a proactive approach to learning and professional development. Demonstrate the ability to work independently and as part of a team. Show a strong understanding of industry best practices and standards. Exhibit the ability to manage multiple tasks and priorities effectively. Have a commitment to continuous improvement and innovation. Display a strong understanding of compliance and regulatory requirements. Certifications Required Oracle PL/SQL Developer Certified Associate Oracle Certified Professional