Head of Functional Genomics Data Science

Merck & Co.; San Diego (CA); Hybrid; USD 176,000 - 277,000; Full time

Job summary

Merck & Co., Inc. in Cambridge, MA seeks an Associate Director of Data Science to lead Functional Genomics & Predictive Modeling. You will own computational frameworks for CRISPR screens, multi-omics integration, and evidence synthesis across discovery programs.

You will mentor scientists, apply AI/ML, including LLM-powered workflows, and collaborate with experimentalists and engineers to build scalable analytics platforms that accelerate drug discovery.

Qualifications

• MS in computational biology or related STEM field with 8+ years of relevant experience including large-scale NGS data.
• Proven ML application to single-cell RNA-seq data.
• Experience with experimental design and integrating multi-omics data.
• Proficiency in R or Python and Git.
• Experience with AWS and Linux.

Responsibilities

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

Skills

Single-cell RNA-Seq

AWS Cloud

Linux

Git

R or Python

NGS data analysis

Experimental design

Communication skills

Functional genomics

Education

MS in Computational Biology

PhD in related field

Tools

Python

R

Git

AWS

Job description

Merck & Co., Inc. in Cambridge, MA seeks an Associate Director of Data Science to lead Functional Genomics & Predictive Modeling. You will own computational frameworks for CRISPR screens, multi-omics integration, and evidence synthesis across discovery programs.

You will mentor scientists, apply AI/ML, including LLM-powered workflows, and collaborate with experimentalists and engineers to build scalable analytics platforms that accelerate drug discovery.