Computational Scientist I MDL

Cambridge, MA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

General information

Location

Cambridge MA

Ref #

43494

Job Family

Research

Workplace

On-Site

Date published

01/08/2026

Time Type

Full time

Pay Range

88000 - 124000 Usd Annual

Description & Requirements

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 the development of novel scalable computational methods and robust analytical pipelines for the interrogation of ultra high-throughput single-cell multiomic data. This includes but is not limited to advanced analyses of transcriptomics proteomics epigenomics and large-scale perturbation (e.g. Perturb-seq) datasets.

The successful candidate will be responsible for critically and creatively dissecting complex single-cell datasets across multiple technology platforms and modalities. We are seeking a highly motivated collaborative and strategically minded individual to drive scientific discovery in close partnership with experimental research scientists who prioritizes shared success and team-based problem solving. The role requires a candidate who can contribute significantly to methods innovation and open-source software development execute rigorous data analysis and clearly communicate cutting-edge results to contribute substantively to high-impact manuscripts.

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.

Qualifications

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.

Publication history in single-cell RNA-seq computational methodology is strongly preferred.

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 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.

The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to relevant skills experience education qualifications and other factors permissible by law.

At Broad your base pay is just one part of a comprehensive total rewards package. From day one this role offers a competitive benefits package including medical dental vision life and disability insurance; a 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; and an employee assistance program among other Broad benefits.

The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race national origin religion age color sex disability protected veteran status or any other characteristic protected by local state or federal laws rules or regulations.

Should you need a reasonable accommodation to complete the application or interview process please contact for assistance.

Required Experience:

General information Location Cambridge MA ...