Associate Director, Data Science - Neurodegenerative Causal Biology
Our Company’s Data, AI & Genome Sciences Department in Cambridge, MA seeks an Associate Director, Data Science - Neurodegenerative Causal Biology, within the Translational Neuroscience Analytics team. The role drives data analysis delineating causal biology across CNS cell types as part of precision biomarker discovery in neurodegenerative diseases. The ideal candidate is a motivated data scientist or computational biologist with a track record of extracting predictive and actionable insights from multi‑modal datasets, especially single‑nucleus and spatial transcriptomics data in neurodegenerative diseases.
Primary Responsibilities
- Lead data analytic projects to drive precision biomarker discovery, inform translational strategies, and enable data‑driven decision‑making of multiple Neuroscience drug discovery programs.
- Build and deploy analytic workflows leveraging state‑of‑the‑art statistical and AI/ML methods to analyze single‑cell and spatial multi‑omics datasets, focusing on target MOA and biomarker discovery in neurodegenerative diseases.
- Formulate and drive integration of spatial and single‑cell data to build a unified predictive framework incorporating causal inference across CNS cell types (e.g., neurons and microglia).
- 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, data analytical input, and assistance in interpreting results from both in‑vitro and in‑vivo studies.
- Communicate data analytic results effectively to project teams, key stakeholders, and the broader scientific community through written and verbal means, proposals for further experiments, presentations, and publications in leading journals.
Required Qualifications
- PhD in Data Science, Computational Biology, Computer Science, Neuroscience, Bioinformatics, Biostatistics, Biophysics, Genomics, or a related STEM discipline, with a minimum of 5 years of experience in multimodal data analytics.
- Deep understanding of computational methodologies for single‑cell and/or spatial transcriptomics analysis and extensive experience in their applications, preferably in neurological disorders.
- Experience leveraging advanced AI/ML models (e.g., transformers, foundation models), causal gene regulatory network reconstruction, and in‑silico perturbation simulation for single‑cell data analysis.
- Ability to critically evaluate and apply novel data analysis methods in translational applications.
- Experience conducting integrative omics data analysis utilizing large public datasets from neurodegenerative disease patient cohorts (e.g., ROSMAP, SEA‑AD).
- Familiarity with neurobiology, particularly neurodegenerative diseases.
- Proficient in one or more programming languages (e.g., Python, R), HPC environments and/or cloud‑based platforms, and version control systems (e.g., GitHub).
- Strong problem‑solving skills, self‑motivated, attention to detail, and ability to handle multiple projects.
- Extensive experience conducting research in a collaborative environment and excellent ability to communicate scientific questions, methodologies, findings and insights.
- Track record of contributions to peer‑reviewed publications in the field of data science or computational biology.
Preferred Qualifications
- Outstanding scientific caliber with strong capabilities to identify key analytic questions and formulate rigorous data analytic plans to address critical scientific needs of drug discovery programs.
- Familiarity with spatial transcriptomics data generated with CosMx.
Required Skills
Biomarkers, Causal Inference, Collaborative Research, Computational Biology, Computer Science, Data Analysis, Data Engineering, Data Modeling, Data Science, Data Visualization, Gene Regulation, Genome, Machine Learning (ML), Neurodegeneration, Neurodegenerative Diseases, Neuroscience, Omics, Programming Languages, Research Strategies, R Programming, Scientific Research, Single Cell Analysis, Stakeholder Relationship Management, Statistics, Version Control
Preferred Skills
Spatial Data Analysis, Transcriptomics
Salary and Benefits
The salary range for this role is $159,600.00 – $251,200.00. Employees may also be eligible for annual bonus and long‑term incentive, if applicable. We offer a comprehensive benefits package including medical, dental, vision, healthcare, retirement benefits (401(k)), paid holidays, vacation, and compassionate and sick days.
Equal Employment Opportunity Statement
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: EEOC Know Your Rights, EEOC GINA Supplement. We are proud to be a company that embraces the value of bringing together talented, committed people with diverse experiences, perspectives, skills, and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other U.S. State Acts.
Application and Work Arrangements
Effective September 5, 2023, employees in office‑based positions in the U.S. will be working a hybrid schedule of three total days on‑site per week (Monday‑Thursday) 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 field‑based, facility‑based, or research‑based positions that require daily in‑person attendance or positions designated as “remote.”
Apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline is stated on this posting.
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