Associate Scientist, Postdoctoral Fellow- Data Science for Multi-omics and Biomarker Modelling in Neuroscience

Job Description

Post Doc Fellow, Data Science for Multi-omics and Biomarker Modelling in Neuroscience -

Be a part of the legacy: Postdoctoral Research Fellow Program

Our Research Laboratories' Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.

We are a research-driven biopharmaceutical company committed to "following the science" to deliver medicines and vaccines that make a global impact. We focus on critical steps in disease pathways to identify targets and discover compounds that can modify disease. Through innovative thinking, state-of-the-art facilities, and rigorous scientific methodology, we collaborate to advance the next medical breakthrough.-

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We are seeking a highly motivated, data science focused Postdoctoral Research Fellow to join the Neuroscience Translational Analytics team within Data, AI & Genome Sciences Department at our Cambridge site. The successful candidate will build scalable, rigorous computational methods linking biofluid biomarkers with tissue-based multi-omics (e.g. single-cell and spatial omics) to drive precision patient subtyping and predictive modelling in neurodegenerative diseases, with a primary focus on Alzheimer's disease (AD). You will design end-to-end pipelines from cross-cohort data ingestion and harmonization to modelling, validation, and delivery of tools for in silico target perturbation and biomarker dynamics prediction - centered on AD biology while ensuring methods generalize to other disease and therapeutic areas. You will work closely with data scientists, computational biologists, and neuroscientists to deliver benchmarked models and reusable codebases that enable patient subtype specific mechanism discovery.-

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Key responsibilities -

• Build and maintain end-to-end AI/ML pipelines for biomarker discovery and patient subgroup stratification using multi-modal data (e.g., multi-omics, clinical/lab values, imaging), including robust ETL (ingestion, QC, normalization, harmonization) and reproducible workflow orchestration.-
• Design, implement, and benchmark methods spanning traditional statistics, network and pathway analysis, and modern ML/DL.-
• Develop novel models tailored to study objectives: formalize hypotheses, translate mathematical ideas into implementable algorithms, conduct ablation and robustness analyses, and iterate based on emerging data and stakeholder feedback.-
• Translate model outputs into actionable insights: produce clear visualizations, summaries; deliver well-documented code, APIs, and reproducible analyses.-
• Develop high-quality documentation and internal tools to enable reuse and scaling.-
• Collaborate with computational, experimental, and clinical partners on study design, cohort definition, data interpretation, and prioritization of follow-up validation experiments.-
• Contribute to scientific communication: publications and preprints, present findings to cross-functional teams, internal and external meetings and conferences.-

Required qualifications -

• PhD within 6 months of hire in Computer Science, Data Science, Biostatistics, Computational Biology/Bioinformatics, or a related quantitative field. -
• Demonstrated experience building AI/ML models for multi-omics.-
• Strong grounding in probability, statistics, linear algebra, optimization, and numerical methods; deep understanding of modern ML/DL algorithms and classical statistical models, with the ability to read/critique papers and translate state-of-the-art ideas into tailored models.-
• Proficiency in Python with solid object-oriented design and software engineering best practices; hands-on experience with deep learning frameworks (e.g., PyTorch) and end-to-end ML workflows; computer science foundations enabling translation from math to production code.
• Strong publication record or other scientific achievements (e.g., awards, patents, grants).-

Preferred qualifications -

• Knowledge of Alzheimer's disease or neurodegenerative biology.-
• Experience with biomarker discovery and/or patient stratification.-
• Expertise in one or more of multi-omics integration at scale (genomics, transcriptomics, proteomics; single-cell/spatial preferred), graph/network methods, causal inference.-

postdoctoralopportunities

Required Skills:
Bioinformatics, Biological Sciences, Biostatistics, Computational Biology, Computational Methods, Data Analysis, Data Science, Genomics, Programming Languages, PyTorch, Scientific Research, Scientific Writing, Statistical Analysis

Preferred Skills:

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As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".

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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

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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:
11/19/2025
*A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID: R371433