Scientist, Translational Data Platforms

Help shape a cloud-native translational research platform designed to accelerate discoveries in multiple myeloma. My client is seeking a computational biology leader who can unite cancer genomics, multi-omic science, and technology to give researchers powerful new ways to turn complex patient data into meaningful discoveries.

Why You Should Apply

• Drive a research platform with global scientific and patient impact
• Stay hands-on in computational science while leading product strategy
• Work at the intersection of genomics, cloud computing, AI, and translational research
• Collaborate with leading scientists, clinicians, engineers, and technology partners

What You'll Be Doing

• Own the scientific roadmap for a cloud-native translational research platform
• Translate researcher needs into scalable analytical capabilities
• Analyze clinical, genomic, single-cell, spatial, and multi-omic datasets
• Develop and validate bioinformatics workflows and computational tools
• Evaluate emerging AI and computational technologies
• Lead cross-functional scientific, engineering, and external collaborations

• PhD in Computational Biology, Bioinformatics, Cancer Genomics, Computer Science, Biomedical Informatics, or related discipline
• Expertise in cancer genomics and large-scale genomic datasets
• Experience with scRNA-seq, tumor/immune biology, and multi-omic analysis
• Strong scientific publication and computational workflow development background
• Knowledge of modern software development; AWS/cloud experience is valuable

How To Apply

We'd love to see your resume, but we don't need it to have a conversation. Send us an email to View email address on humanresourcesjobs.com and tell me why you're interested. Or, feel free to email your resume. Please include Job #20202.