Assoc. Scientist, Post Doc Fellow- Data Science for Multi-omics and Biomarker Modeling in Neuroscien

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. Post Doc Fellow, Data Science for Multi-omics and Biomarker Modeling in Neuroscience We are seeking a highly motivated, data‑science focused Postdoctoral Research Fellow to join the Neuroscience Translational Analytics team within the Data, AI & Genome Sciences Department at our Cambridge site. The successful candidate will develop and apply novel AI/ML methods linking biofluid biomarkers with tissue‑based multi‑omics (e.g. single‑cell and spatial omics) to drive precision patient subtyping and predictive modeling in neurodegenerative diseases, with a primary focus on Alzheimer’s disease. The role involves designing end‑to‑end ML/DL pipelines and new algorithms from cross‑cohort data ingestion and harmonization to modeling, validation, and delivery of tools for in silico target perturbation and biomarker dynamics prediction. Key Responsibilities Design and implement end‑to‑end AI/ML pipelines for biomarker discovery and patient subgroup stratification using multi‑modal data (multi‑omics, clinical/lab values, imaging), including robust ETL and reproducible workflow orchestration. Develop and innovate on ML/DL methods 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. Build and benchmark models beyond standard off‑the‑shelf approaches, including multi‑omics integration models at scale; models for patient subtyping and progression prediction for in silico perturbation and biomarker dynamics. Translate model outputs into actionable insights: produce clear visualizations and 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 in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Biology/Bioinformatics, or a related quantitative field; or equivalent research experience. Demonstrated experience developing and applying new AI/ML models for healthcare/biomedical data (e.g. multi‑omics, clinical/lab data, real‑world data, imaging). Strong grounding in probability, linear algebra, optimization, and numerical methods with a deep understanding of modern ML/DL algorithms. Ability to read, critique, and implement state‑of‑the‑art ML papers, and to adapt/extend existing algorithms to novel biological problems and data types. 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 scientific track record, demonstrated by peer‑reviewed publications in AI/ML, computational biology, or related venues, or other scientific achievements. 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. Compensation and Benefits Salary: $71,900 - $113,200 per annum. The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable. We offer a comprehensive benefits package including medical, dental, vision, other insurance, retirement benefits (401(k)), paid holidays, vacation, compassionate and sick days. Equal Opportunity Employment We are an Equal Employment Opportunity Employer. We provide equal opportunities to all employees and applicants, prohibiting discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit EEOC Know Your Rights and EEOC GINA Supplement. We comply with all affirmative action requirements for protected veterans and individuals with disabilities. #J-18808-Ljbffr Myana