Associate Director, Data Science

Merck & Co.; Boston (MA); On-site; USD 160,000 - 251,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive

Comprehensive benefits

Job summary

Merck & Co. is seeking an Associate Director in the Translational Genome Analytics group to advance data-driven decisions across oncology programs.

You will perform data mining of molecular data and translate findings into actionable biomarker insights across trials and real-world datasets. Responsibilities include integrating multi-modal data (RNAseq, WES/WGS, imaging, proteomics), applying deep learning and predictive modeling to identify novel targets, and collaborating with AIML teams to

Qualifications

• Advanced degree with substantial computational and statistical component.
• Experience applying statistical learning to multimodal molecular data.
• Proficiency coding in R/Python/MATLAB with reproducible analyses.

Responsibilities

• Enable reverse translation from clinical datasets to inform biomarker discovery and patient stratification.
• Analyze, summarize, and visualize large multimodal clinico-genomic datasets.
• Leverage deep learning and multivariate predictive modeling for biomarker discovery of clinical outcomes.
• Collaborate with AIML teams on foundation-model development from large cohorts.

Skills

Cancer Biology

Computational Biology

Data Analysis

Data Mining

Data Science

Genomic Data Analysis

Immuno-Oncology

MATLAB

Multimodal Analysis

Python

R Programming

Statistical Analysis

Statistical Learning

Education

Master's degree or Ph.D. in a quantitative discipline

Tools

R

Python

MATLAB

Job description

Job Description

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting an Associate Director (Associate Principal Scientist) to join our data science team. We are seeking an experienced and innovative computational scientist to perform data mining of molecular data and inform decisions across all stages of our company's expanding oncology pipeline.

The successful candidate will:

• Enable reverse translation from clinical datasets to inform biomarker discovery, combination strategies, and novel target identification linked to molecularly defined patient populations with unmet medical need.
• Analyze, summarize, and visualize the findings from large multi-modal clinico-genomic datasets which include bulk RNAseq, WES/WGS, imaging, epigenetic profiling, single-cell RNAseq, and proteomics data from oncology clinical trials and real-world datasets.
• Leverage advanced deep learning and AI methods and multivariate predictive modeling to discover novel biomarkers predictive of clinical outcomes. Demonstrated expertise in the application of statistical inference frameworks and/or deep learning approaches to the integrative analysis of multimodal, high-dimensional tumor profiling datasets in the oncology and immuno-oncology context
• Effectively collaborate with AIML teams working on development of foundation models trained on large cohorts of human data.

QUALIFICATIONS:

Education:

• Master's (with 8+ years) or Ph.D. (with 4+ years) in a quantitative discipline such as Engineering, Applied Physics/Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component and relevant experience in pharma, biotech or academic setting.

Required Experience and Skills:

• Demonstrated expertise in the application of methods of statistical learning and data mining to the integrative analysis of multimodal, high-dimensional molecular profiling datasets in oncology, immuno-oncology or other therapeutic area.
• Hands-on analysis experience with algorithms for large genetic, genomic, immunogenomic and clinical datasets (e.g. IEDB, TCGA, GTEx, DepMap).
• Expertise to code in scientific computation environments (R/Python, Matlab) with adoption of best practices for reproducible data analyses.
• Demonstrated expertise in the application of statistical inference frameworks and/or deep learning approaches to the integrative analysis of multimodal, high-dimensional disease profiling datasets in oncology, immuno-oncology or other therapeutic area.
• Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail.
• Independent, flexible and collaborative mindset.

Preferred Experience and Skills:

• Experience with analysis of genomic data originating from clinical trials.
• Understanding of the major concepts of cancer biology as represented in molecular data.
• Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.
• Record of publishing in high profile scientific journals.

Required Skills:

Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data Analysis, Immuno-Oncology, MATLAB, Multimodal Analysis, Python (Programming Language), R Programming, Statistical Analysis, Statistical Learning

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.

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/International

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

09/4/2026

Requisition ID:

R413640

The salary range for this role is

$159,600.00 - $251,200.00

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 .

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