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Build and apply ML models to predict drug properties and guide lead optimization in ADME/PK-PD, using Python/R and in-house tools to accelerate drug discovery.
Researches and develops data algorithms and high-performance computing tools for neuroimaging and behavioral data to advance mental health treatments.
Builds and runs ML and statistical models to analyze large-scale biomedical data, writes pipelines in Python/R/Go/Rust, and maintains cloud/on-prem bioinformatics infrastructure.
Designs and builds a distributed data pipeline for AI-driven drug development, integrating computational science and translational pharmacology to accelerate TB regimen research.
Build and deploy AI/ML models to accelerate antibody discovery, integrating them into lab and computational workflows for Genmab’s research teams.
Design and run integrative multiomics analyses to discover therapeutic targets and biomarkers for rare genetic diseases, using Python and AI-enabled methods in a fast-moving biotech setting.
Build web apps and data pipelines for a biology R&D company, creating intuitive interfaces for scientists and AI-driven workflows to automate lab processes and data analysis.
Lead a team building Owkin’s AI Scientist, an agentic system that uses multimodal biological data and AI to autonomously discover drug targets and biomarkers for therapeutic breakthroughs.
Senior Technical Product Manager bridging business and technical teams in healthcare/genomics to define product requirements, workflows, and development plans for clinical products and digital systems.
Develop cofolding and structure-aware ML models for drug discovery, training models on proteins, ligands, and experimental data using contrastive and representation-learning techniques.
Build and maintain a public web platform for environmental monitoring, integrating data visualizations and APIs to support research and public health decisions using modern web tech and AI-assisted development.
Build and modernize web platforms for a clinical genetic testing lab, using AI-assisted engineering, full-stack TypeScript/React/Next.js, Node.js, Go, and AWS cloud infrastructure.
Senior Biological Data Scientist applies AI and multiomics integration to discover rare-disease therapies, analyzing genomic, transcriptomic, and proteomic data to identify therapeutic targets and biomarkers.
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Bioinformatics Support Scientist – Next-Generation Sequencing (NGS) and Microarray As part of the Thermo Fisher Scientific team, you’ll…
Key Account Manager – Cattle Medgene Labs helps veterinarians and producers protect livestock with precisely constructed immunological products and services. Applying a strategy of continual diagnostic surveillance and…
Senior Bioinformatics Analyst at St. Jude Children’s Research Hospital analyzes genetic data to uncover modifiers of sickle cell disease outcomes using statistical genetics, GWAS, and bioinformatics tools.
Build and maintain scalable bioinformatics workflows and tools to analyze proteomics and genomics data, enabling drug discovery and biomarker identification using R, Python, and AI-driven methods.
Develops advanced AI/ML models for early cancer detection using blood-based molecular signals, collaborating with biologists and engineers in a hybrid Brisbane, CA role.
Lead a team building AI/ML models to accelerate small-molecule drug discovery, integrating chemical and biological data to guide target selection and compound design for RAS-driven cancers.
Lead AI and lab product strategy for a biotech company using generative AI to design novel therapeutics, coordinating cross-functional teams of AI researchers, engineers, and scientists.
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