Scientist, Translational Data Platforms
Job Description
Location: Norwalk, CT or Remote\n
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\nHelp 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.\n
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\nWhy You Should Apply\n
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- 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
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What You’ll Be Doing\n
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- 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
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About You
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- 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
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How To Apply\n
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\nWe’d love to see your resume, but we don’t need it to have a conversation. Send us an email to emily@scientificsearch.com and tell me why you’re interested. Or, feel free to email your resume. Please include Job #20202.\n
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