Job DescriptionAssociate Director of Data Science, Functional Genomics (R4)Translational Genome Analytics (TGA) / Data, AI and Genome Sciences (DAGS)
Location Cambridge, MA
The Data, AI and Genome Sciences (DAGS) department seeks a talented computational biologist for our Translational Genome Analytics (TGA) team. In this role, you will lead our Functional Genomics & Predictive Modeling function, shaping how its evidence is generated, interpreted, and integrated across the discovery portfolio. You will own the computational and modeling frameworks that range from hit calling for our perturbational screens to multi-evidence integration to prioritize targets and/or drug combinations. You will serve as a technical and scientific leader who shapes early discovery direction, mentors a team of scientists, and applies cutting edge AI and ML to accelerate how we turn data into decisions.
This is a rare opportunity to build and lead a functional genomics analytics capability from the ground up, where your team's calls directly shape which targets advance in our discovery portfolio, one of the most exciting frontiers in computational biology today.
In This Exciting Role You Will- Lead the design and build of scalable computational analytics frameworks for pooled, arrayed, single cell, and optical CRISPR screens, from QC pipelines and library design to longitudinal readout analysis.
- Invent and scale computational methods for the next generation of functional genomics, spanning scalable single cell perturbation screening, cellular barcoding, and lineage tracing, to elucidate adaptive resistance mechanisms and drug combinations.
- Build image analysis pipelines for high content and optical CRISPR screens, turning morphological phenotypes into biological insight that guides 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.
- Bring modern AI and ML, including LLM powered agentic workflows and network based methods, to how we triage targets and synthesize biological evidence.
- Lead and mentor a team of scientists, set the technical direction for functional genomics analytics, 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.
Minimum Requirements- MS in computational biology, bioinformatics, biostatistics, biophysics, mathematics, statistics, genetics/genomics, computer science or a related STEM discipline and a minimum of 8 years of relevant professional experience, including hands on experience analyzing large scale NGS and functional genomics datasets.
- 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.
Preferred Experience and Skills- A Ph.D. in Bioinformatics, Biostatistics, Computational Biology, Statistics, Computer Science, Mathematics, Biophysics, Genetics/Genomics, or a related STEM field with 4+ years of professional experience.
- A strong background with post doctoral or relevant industry experience, including prior experience leading an analytics team and mentoring scientists.
- Substantial computational experience specifically with functional genomics data, including CRISPR screen hit calling frameworks and library design interpretation.
- Experience with optical pooled CRISPR screening image analysis pipelines and integrating morphological readouts with genomic datasets.
- Expertise applying deep learning approaches to image based phenotypic profiling and cell classification for target identification.
- Deep understanding of general disease biology and immunology, with knowledge of the latest functional genomics research.
- Expertise in utilizing network-based analysis frameworks or transfer learning techniques to infer gene regulatory patterns from NGS datasets.
- Hands on experience building or deploying LLM powered systems or AI tools for biological data interrogation.
- Experience developing interactive data visualization tools, for example R Shiny, for multiomics readouts.
- A track record of developing novel functional genomics methods, demonstrated through first author publications or released tools.
TravelUp to 10% travel is required.
#EligibleforERP
Required Skills: Amazon Web Services (AWS), Bioinformatics, Biological Data Analysis, Computational Biology, Computational Genomics, CRISPR-Cas System, Data Engineering, Data Modeling, Data Science, Data Visualization, Gene Expression Profiling, Genome, Genome Sequencing, Genomic Analysis, Genomics, Machine Learning (ML), Omics, RNA-Seq, Single-Cell Genomics, Software Development
Preferred Skills: Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
The salary range for this role is
$176,200.00 - $277,300.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status: Regular
Relocation:Domestic
VISA Sponsorship:Yes
Travel Requirements:10%
Flexible Work Arrangements:Hybrid
Shift:Not Indicated
Valid Driving License:No
Hazardous Material(s):n/a
Job Posting End Date:09/15/2026
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