Senior Data Scientist – Neuroscience Spatial Multi-omics

Senior Specialist (Senior Scientist), Data Science – Translational Neuroscience Analytics

Data, AI & Genome Sciences Department, Cambridge, MA.

• Build and deploy analytic workflows leveraging state‑of‑the‑art computational methods to analyze spatial multi‑omics datasets, focusing on target MOA evaluation and biomarker discovery in neurodegenerative diseases.
• Formulate and drive integration of spatial and single‑nucleus multi‑omics data to build a unified predictive framework capturing interactions among different CNS cell types (e.g., neurons and microglia).
• Lead data‑analytic projects to evaluate therapeutic hypotheses, drive precision biomarker discovery, inform translational strategies, and enable data‑driven decision‑making across multiple neuroscience drug‑discovery programs.
• Collaborate with internal AI/ML teams to develop and incorporate new methodologies into existing frameworks to enhance data‑analysis capabilities.
• Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages.
• Provide data‑science / computational‑biology input in research strategy, experimental design, analysis, and assist in interpreting results from both in‑vitro and in‑vivo studies.
• Communicate analytical results effectively to project teams, key stakeholders, and the wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals.

• PhD in Data Science, Computational Biology, Computer Science, Genetics/Genomics, Biophysics, Bioinformatics, Statistics, Neuroscience, Neurology, or a related STEM discipline, or an MS with 5+ years of relevant experience.
• Deep understanding of computational methodologies for single‑cell and spatial transcriptomics analysis with extensive experience, preferably in neurological disorders.
• Extensive experience analyzing spatial transcriptomics data with single/sub‑cell resolution (e.g., Cos Mx, Visium HD).
• Demonstrated expertise in leveraging advanced AI/ML models (e.g., transformers, foundation models) and in‑silico perturbation simulation.
• Ability to critically evaluate and apply novel data‑analysis methods in translational applications.
• Proficiency in one or more programming languages (e.g., Python, R), HPC environments and/or cloud‑based platforms, and version control systems (e.g., Git Hub).
• Strong problem‑solving skills, self‑motivation, attention to detail, and ability to manage multiple projects.
• Experience conducting research collaboratively with excellent communication of scientific questions, methodologies, findings, and insights.
• Proven track record of extracting actionable insights from spatial/single‑cell omics data, evidenced by peer‑reviewed publications.

• Outstanding scientific caliber with the ability to identify key analytic questions and formulate rigorous data‑analytic plans for drug‑discovery programs.
• Strong understanding of neurobiology, particularly neurodegenerative diseases.
• Familiarity with large public single‑nucleus multi‑omics datasets from neurodegenerative disease patient cohorts (e.g., ROSMAP, SEA‑AD).
• Additional 2+ years of multi‑omics data analytics experience after final degree is preferred.

• Alzheimer's Disease, Computational Biology, Computer Science, Cross‑Team Collaboration, Database Design, Data‑Driven Decision Making, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Multi Modal AI, Neurodegenerative Diseases, Neuroscience, Omics, Programming Languages, Single Cell Analysis, Single‑Cell Genomics, Spatial Data Analysis, Stakeholder Relationship Management, Teamwork, Transcriptomics, Foundation Model Fine Tuning, Foundation Models, Transformer Model.

Salary range: $ – $. Eligible for annual bonus and long‑term incentive, if applicable.

Medical, dental, vision, and other insurance benefits for employee and family; retirement benefits including 401(k); paid holidays, vacation, and compassionate and sick days.

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. We are committed to inclusion and ensure a hiring process that reflects candidates’ true capabilities.