Lead Cloud-Native Translational Genomics Platform Scientist

Scientific Search; Norwalk (CT); On-site; USD 140,000 - 220,000; Full time

Job summary

Scientific Search is seeking a computational biology leader to unite cancer genomics, multi-omics, and cloud-based translational research on a global platform. You'll own the scientific roadmap, translate researcher needs into scalable analytical capabilities, and collaborate across genomics, AI, engineering, and external partners while staying hands-on in computational science.

Ideal candidates hold a PhD in related fields, possess deep cancer genomics expertise, and have a track record in

Qualifications

• 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.

Responsibilities

• 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.

Skills

Cancer genomics

Single-cell RNA-seq (scRNA-seq)

Multi-omic analysis

Bioinformatics workflows

Cloud experience (AWS)

Education

PhD in Computational Biology, Bioinformatics, Cancer Genomics, Computer Science, Biomedical Informatics, or related discipline

Tools

AWS

Job description

Scientific Search is seeking a computational biology leader to unite cancer genomics, multi-omics, and cloud-based translational research on a global platform. You'll own the scientific roadmap, translate researcher needs into scalable analytical capabilities, and collaborate across genomics, AI, engineering, and external partners while staying hands-on in computational science.

Ideal candidates hold a PhD in related fields, possess deep cancer genomics expertise, and have a track record in