Broad Institute of MIT and Harvard · 4 hours ago
Computational Scientist I - MDL
The Broad Institute of MIT & Harvard is seeking an outstanding and innovative Computational Scientist to join the Methods Development Lab. The core mission of this role is to develop novel computational methods and robust analytical pipelines for the interrogation of ultra high-throughput single-cell multiomic data, collaborating closely with experimental research scientists.
BiotechnologyClinical TrialsLife Science
Responsibilities
Innovate and engineer novel computational methods and algorithms to address critical analytical challenges in ultra high-throughput single-cell multiomic datasets
Design, build, optimize, and rigorously maintain robust analytical pipelines for processing massive single-cell datasets, ensuring scalability, high performance, and reproducibility across HPC and cloud environments
Contribute significantly to open-source software development by documenting and packaging all novel methods and software for community use and future projects
Develop and apply specialized analytical techniques for the quantitative assessment of Perturb-seq and related single-cell perturbation screens, including accurate gRNA assignment and on-target knockdown efficiency evaluation
Execute in-depth, creative analyses on complex single-cell datasets, leveraging both established best practices and newly developed methods to extract critical biological insights
Collaborate seamlessly with experimental teams, leveraging computational results to strategically guide and optimize the development of novel experimental protocols
Present results, methodology, and insights clearly at group meetings, and contribute substantively to the writing and preparation of manuscripts and publications
Qualification
Required
Ph.D. degree in Computational Biology, Computer Science, or a related quantitative field with 2+ years of relevant work experience
Proven expertise in analyzing single-cell RNA-seq and related sequencing modalities, with a strong emphasis on computational methods development and innovation
Direct experience in the design and analysis of single-cell perturbation screens (e.g., Perturb-seq), including gRNA assignment and on-target efficiency evaluation
Experience developing computational strategies for the identification, quantification, and functional interpretation of alternatively spliced RNA isoforms from single-cell long-read sequencing data
Expert proficiency in Python & R for statistical analysis, algorithm development, and data visualization, including demonstrated experience designing, building, and deploying scalable and reproducible analytical pipelines in a cloud computing environment
Strong foundational knowledge of statistical and machine learning techniques applied to high-dimensional biological data, including data integration, batch correction, and dimensionality reduction
Strong ability to work both independently and collaboratively. Proven experience working across research groups, with close collaboration in a bench-to-analysis lab setting
Ability to critically read and discuss scientific research publications, especially those focused on novel computational methodologies
Excellent written and verbal communication skills, especially for describing complex methods and algorithms
Ability to thrive in a fast-paced, rapidly changing environment
Must be able to work onsite in Cambridge, MA five days per week
Preferred
Publication history in single-cell RNA-seq computational methodology is strongly preferred
Benefits
Medical
Dental
Vision
Life
Disability insurance
401(k) retirement plan
Flexible spending and health savings accounts
At least 13 paid holidays
Winter closure
Paid time off
Parental and family care leave
Employee assistance program
Among other Broad benefits
Company
Broad Institute of MIT and Harvard
The Broad Institute brings together a diverse group of individuals from across its partner institutions — undergraduate and graduate students, postdoctoral fellows, professional scientists, administrative professionals, and academic faculty.
H1B Sponsorship
Broad Institute of MIT and Harvard has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (108)
2024 (59)
2023 (73)
2022 (68)
2021 (70)
2020 (93)
Funding
Current Stage
Late StageTotal Funding
$283.25MKey Investors
MacArthur FoundationAlzheimer's Foundation of AmericaMassachusetts Life Sciences Center
2025-11-18Grant· $100M
2020-08-11Grant
2019-09-09Grant· $0.75M
Leadership Team
Recent News
Research & Development World
2026-01-22
Broad Institute of MIT and Harvard
2026-01-17
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