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Research Scientist 1

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MIT - Massachusetts Institute of Technology

Cambridge

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Research Scientist 1

Staff

June 20, 2026

Location

Cambridge

Type

Full-time Staff

Required Qualifications

Ph.D. Computational Biology/Bioinformatics/CS/Neuroscience
2+ years research experience
Single-cell/spatial omics brain studies
Python & R proficiency
High-performance/cloud computing
AI/ML for biological data
Publications/software contributions

Research Areas

Single-cell multi-omics
Spatial omics
Neurodegenerative diseases
Neuropsychiatric diseases
Human postmortem brain
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Research Scientist 1

RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab

will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived from human postmortem brain samples to study the molecular and cellular mechanisms underlying neurodegenerative and neuropsychiatric diseases. Working in collaboration with the PIs, the scientist will design, execute, and interpret computational experiments to uncover cell-type–specific and pathway-level mechanisms driving disease risk, progression, and resilience.

Full job description is available here: https://www.dropbox.com/scl/fi/ogp0biw4hs9fok3qqd0ni/Research-Scientist-1-JD.pdf?rlkey=v3u6zp7fey8devovmg10fq3hh&st=bntsjvjf&dl=0

Job Requirements

REQUIRED: A Ph.D. in Computational Biology, Bioinformatics, Computer Science, Neuroscience, or a related field; a minimum of two years of relevant research experience, which may include graduate work; demonstrated experience with single-cell and/or spatial omics data, particularly in human or mouse brain studies; proficiency in programming languages such as Python and R, with experience in high-performance or cloud-based computing; familiarity with AI/ML approaches (e.g., dimensionality reduction, autoencoders, or graph-based learning) for biological data; and evidence of potential for original or collaborative scholarship, demonstrated through publications, software contributions, or impactful analytical work. PREFERRED: Experience contributing to data portals, open-source pipelines, or collaborative computational infrastructure.

Some evening/night/weekend work may be required when working on deadlines.

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Frequently Asked Questions

🎓What are the required qualifications for this Research Scientist position?

Candidates must hold a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Neuroscience, or related field, with a minimum of two years relevant research experience (including graduate work). Explore similar research jobs for academics.

💻What technical skills are essential for single-cell and spatial omics analysis?

Proficiency in Python and R is required, along with experience in high-performance or cloud-based computing. Familiarity with AI/ML methods like dimensionality reduction, autoencoders, and graph-based learning for biological data is essential. Check research assistant jobs for skill-building opportunities.

🧠What is the research focus of this Computer Science and AI Lab role?

The role involves leading computational analyses of large-scale single-cell and spatial multi-omic datasets from human postmortem brain samples to study neurodegenerative and neuropsychiatric diseases. Uncover cell-type-specific and pathway-level mechanisms in disease risk, progression, and resilience. View clinical research jobs.

What preferred experience is valued for this bioinformatics position?

Preferred: Experience contributing to data portals, open-source pipelines, or collaborative computational infrastructure. Evidence of scholarship via publications, software, or analytical work is key. See advice on postdoctoral research roles.

📋Does this Research Scientist job offer visa sponsorship or flexible hours?

Visa sponsorship is not mentioned. Some evening/night/weekend work may be required for deadlines. Full details in the job description PDF. Browse research jobs in Cambridge.

📄How to apply for this Cambridge-based omics research scientist role?

Review the full job description and apply via the provided link before the June 20, 2026 deadline. Highlight your single-cell omics and AI/ML experience. Tailor your CV using our free resume template.
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