Associate Director, Functional Genomics, Data Science

MSD

Computational biologist leading functional genomics analytics at biopharmaceutical company in Cambridge, MA. Overseeing computational analysis of CRISPR screens and managing PhD scientists in a hybrid work setting.

Posted 7/24/2026full-timeCambridge • California, Massachusetts • 🇺🇸 United StatesSenior💰 $176,200 - $277,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in computational analytics frameworks, integrating functional genomics with high throughput datasets, and applying machine learning techniques to biological data analysis. Proven ability to lead teams, mentor scientists, and drive standards for reproducible research.

Highest-signal resume keywords

Ph.D. In BioinformaticsMachine Learning ApplicationStatistical Programming (R, Python)Experience With NGS Data AnalysisAWS Cloud Computing Infrastructure

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Computational AnalysisAlgorithm DevelopmentBiological InterpretationStatistical Hypothesis TestingSingle Cell RNA Sequencing AnalysisExperimental DesignData IntegrationQuality Control PipelinesLongitudinal Readout AnalysisMorphological Feature Extraction

Soft Skills

Excellent Communication SkillsProactive Focus on DetailsMentoring

Tools & Technologies

Version Control (Git)Linux EnvironmentsPublic Data RepositoriesFAIR Data InfrastructureAI and ML Approaches

Industry Keywords

Functional GenomicsTranscriptomicsProteomicsDrug DiscoveryTherapeutic Area Target Identification

Tech Stack

Tools & technologies

AWSCloudLinuxPython

About the role

Key responsibilities & impact

Lead the design, development, and maintenance of scalable computational analytics frameworks for pooled, arrayed, single cell, and optical CRISPR screens, including QC pipelines, library design, and longitudinal readout analysis.
Oversee and actively contribute to image analysis pipelines for high content and optical CRISPR screens, extracting biologically meaningful morphological features to support target prioritization.
Integrate functional genomics and imaging derived results with high throughput transcriptomics and proteomics datasets to build multi evidence target prioritization packages for multiple stages of drug discovery.
Leverage cutting edge AI and ML approaches, including LLM powered agentic workflows and network based methods, to accelerate target triage and automate biological evidence synthesis.
Manage and mentor PhD level scientists, set the technical direction for the analytics sub team, and drive standards for reproducible research and FAIR data infrastructure.
Collaborate across disciplines with experimental scientists, software engineers, and external partners to advance shared analytical platforms and support Therapeutic Area target identification.

Requirements

What you’ll need

Ph.D. in Bioinformatics, Biostatistics, Computational Biology, Statistics, Computer Science, Mathematics, Genetics/Genomics, or a related STEM field.
A minimum of 4+ years of industry or applied academic experience.
A passion for solving biological problems through computational methods with a proactive focus on details and execution.
Experience with the computational analysis, algorithm development, and biological interpretation of large scale NGS and functional genomics datasets.
A proven track record of applying machine learning to analyze single cell RNA sequencing data to identify novel patterns and functional insights.
Previous experience with experimental design of biological assays, statistical hypothesis testing, and integrating results from multiple omics data sources.
Proficiency in at least one statistical programming language such as R or Python, along with experience using version control environments like Git.
Familiarity with public data repositories like The Cancer Genome Atlas, Dependency Map, Cancer Cell Line Encyclopedia, and Clinical Proteomic Tumor Analysis Consortium.
Experience with AWS cloud computing infrastructure and Linux environments.
Excellent oral and written communication skills.

Benefits

Comp & perks

medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days