Associate Director, Data Science (Functional Genomics)

Merck

San Diego (CA)

Hybrid

USD 176,000 - 277,000

Full time

4 days ago
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Benefits offered by this job

401(k) Match
Medical, dental, vision
Paid time off

Job summary

Merck requires an Associate Director of Data Science to build and lead a functional genomics analytics capability. You will guide hit calling, multi-evidence integration, and AI-driven target prioritization across discovery programs in Cambridge and beyond.

You will mentor a team of scientists, drive reproducible research practices, and collaborate with experimentalists, software engineers, and external partners to accelerate data-driven decision making.

Qualifications

  • Advanced degree with hands-on experience in large-scale NGS and functional genomics.
  • Proven ML experience applied to single-cell data and biological interpretation.
  • Experience designing biological assays and integrating multi-omics data.
  • Proficiency in R or Python and Git version control.

Responsibilities

  • Lead scalable computational analytics for pooled, arrayed, single cell, and optical CRISPR screens.
  • Invent methods for single-cell perturbation screening and lineage tracing.
  • Build image-analysis pipelines for high-content CRISPR screens.
  • Integrate genomics and imaging results with transcriptomics and proteomics.
  • Apply modern AI/ML and LLM-powered workflows to triage targets.
  • Mentor scientists and set standards for reproducible research.
  • Collaborate across disciplines to advance analytical platforms.

Skills

NGS analysis
Single-cell RNA-Seq
Machine learning
Python
R
Git
AWS
Linux

Education

MS in Computational Biology / Bioinformatics / related STEM
PhD preferred for 4+ years experience

Tools

AWS
Linux
Image analysis pipelines

Job description

Merck requires an Associate Director of Data Science to build and lead a functional genomics analytics capability. You will guide hit calling, multi-evidence integration, and AI-driven target prioritization across discovery programs in Cambridge and beyond.

You will mentor a team of scientists, drive reproducible research practices, and collaborate with experimentalists, software engineers, and external partners to accelerate data-driven decision making.

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