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Senior Manager / Assistant Director - Partnerships & Product, Biomedical Data Hub The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and…
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.…
At Amazon Web Services (AWS), we are seeking a Life Sciences Business Development professional to join our Healthcare and Life Sciences Applied AI Solutions (AAIS) Go to Market (GTM) organization. In this role, you…
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Senior Programmer Analyst Join Us as a Senior Programmer Analyst – Make an Impact at the Forefront of Innovation The Senior Programmer…
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…
We are looking for a curiosity driven research Data Manager to support the data collection, quality control, and preparation for use of the Danish Precision Health Initiative (DELPHI) at the Novo Nordisk Foundation…
Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life-threatening diseases. Headquartered in Bridgewater, New Jersey, we are advancing the next generation of cell therapy…
The Senior Manager of Data Science Production Engineering leads a DevOps team to build and maintain cloud-based data platforms and automation systems for genomics testing. The role involves managing team performance, ensuring regulatory compliance, and optimizing infrastructure for high-throughput medical diagnostics.
Location: Waltham,Massachusetts,United States Job Overview The Cambridge Sales Support role is an entry level sales & support position assisting teams in building advanced IT solutions for our clients. By…
A bout our Company: Universal D X , Inc . is an international Company with a highly experienced team focused on cracking cancer’s code. Through our multi-omics and bioinformatics models, we have figured out how to read…
Senior Software Engineer builds and scales a secure data platform for AI-driven protein design, integrating experimental results, partner datasets, and ML-ready training data using Python, GCP, PostgreSQL, and BigQuery.
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and…
Design and train deep generative models to design novel proteins using AI, collaborating with biology and ML teams to validate and deploy solutions.
Build a GPS-based Progressive Web App game for a life science community using React and Supabase. This part-time, remote role focuses on mobile web development, Web Geolocation API, and animations.
Who We Are & What We Do At Helix, our mission is simple: to help everyone improve their lives through their DNA. Ready to make a real-world impact with your skills? At Helix, we're transforming healthcare by…
Bioinformatics Manager (at the rank of Technical Manager) in Bioinformatics Core of the Centre for PanorOmic Sciences (CPOS) (Ref.: 537243) (to commence as soon as possible, on a two-year fixed-term basis with…
Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s…
These positions may be located in Rochester, MN or Phoenix/Scottsdale, AZ. Position Description The Mayo Clinic and Mayo Clinic Comprehensive Cancer Center (MCCCC) in Phoenix and Scottsdale, Arizona, and in Rochester,…
The Data Science Consultant will design and deploy advanced AI and machine learning solutions, focusing on Generative AI, RAG, and LLM-based applications on the Azure cloud platform. The role involves leveraging strong mathematical foundations to build scalable MLOps pipelines and collaborating within cross-functional teams.
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