Apply on Employer Site

Merck · 13 hours ago

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

Cambridge, MA

Full-time

Hybrid

New Grad, Entry Level

Merck is a research-driven biopharmaceutical company committed to delivering impactful medicines and vaccines. They are seeking a highly motivated Postdoctoral Research Fellow in Data Science for Multi-omics and Biomarker Modelling in Neuroscience to build computational methods linking biomarkers with multi-omics data, primarily focused on Alzheimer's disease.

BiotechnologyHealth CareMedicalPharmaceutical

Comp. & Benefits

H1B Sponsored

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

Qualification

AI/ML modelsMulti-omicsPythonStatistical analysisDeep learning frameworksBioinformaticsComputational biologyScientific writingData analysisProgramming languages

Required

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

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