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We are looking for a Business Analyst to join our Data & AI Consulting team. This is a great opportunity to start and grow your career, working on data analytics and AI-enabled projects alongside experienced…
Do you bring a background in oncology or molecular diagnostics sales and a strong understanding of why oncologists use genomic testing? Are you inspired by cutting-edge and innovative solutions? If this sounds like you…
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters.…
The University of Tennessee Health Sciences, Department of Genetics, Genomics, and Informatics, is recruiting a full-time, tenure-track Associate Professor. Establish and maintain an externally funded research program…
Integrated DNA Technologies (IDT) is the leading manufacturer of custom oligonucleotides and proprietary technologies for genomics applications. Our work is complex and cutting-edge, and our team members are curious,…
Department BSD CTD - DevSecOps About the Department The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data…
Help shape the scientific software that powers bioinformatics research worldwide. At EMBL-EBI, our bioinformatics services help researchers access and work with biological data at scale. As our Bioinformatics Software…
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in…
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some…
Company: Chronic kidney diseases are a severe and growing worldwide health challenge that affects 1 in 7 people. Without effective treatments patients can experience kidney failure leading to dialysis and…
An AI/ML scientist on Novartis' Diseases of Aging & Regenerative Medicine team in San Diego (hybrid), building and applying machine learning — including biological foundation models and MLOps workflows — to human genetics, EHR, multi-omics, and imaging data to identify and validate drug targets for neurodegenerative and cardiovascular diseases. Core stack: Python, R, and modern data-science toolin
Design and execute integrative computational analyses of multiomics datasets to accelerate therapeutic discovery in rare genetic diseases, leveraging AI-enabled approaches and collaborating with cross-functional scientists.
Data scientist on Google's Ads Marketing team, performing deep analytics, designing controlled experiments and incrementality measurement, and building scalable analysis pipelines to support global marketing programs for Google Ads. Core tools include SQL, statistical software (R, Python, MATLAB), and statistical/ML modeling.
Senior Forward Deployed Engineer at Manifold AI, an AI platform for life sciences: you deploy and configure the platform inside biopharma, academic, and health-system customer environments, building data pipelines, AI agent configs, and integrations from pilot through production. Core stack: Python, SQL, data engineering (Airflow, dbt, Snowflake), AWS, and agentic AI tools.
Data Scientist at UT Southwestern Medical Center who develops algorithms, formalisms, and software to analyze data for biomedical, translational, and clinical research, including clinical trials. Work centers on data analysis, statistical and scientific research design, and scientific software development within a multidisciplinary bioinformatics team.
Element Biosciences is hiring an on-site Senior ML Engineer in San Diego to design, train, and deploy deep learning and computer vision models (CNNs, ViTs, U-Net) for biological image analysis, running end-to-end ML pipelines on AWS or directly on imaging instruments. Core stack: Python, PyTorch, OpenCV, Docker; single-cell/multiomic data experience is a plus.
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