Computational Scientist I
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Job Location:
Cambridge, MA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
General information
Location
Cambridge MA
Ref #
43585
Job Family
Research
Workplace
On-Site
Date published
02/03/2026
Time Type
Full time
Pay Range
$88000.00/yr - $124000.00/yr
Description & Requirements
Job Description
The Broad Institute of MIT & Harvard is seeking a highly motivated Computational Scientist to join the Xavier Lab to lead and direct data generation and analysis projects designed to determine the underlying factors contributing to health and disease. We are an interdisciplinary group with expertise in computational analysis genomics microbiology and immunology. The candidate for this position will be working closely with computational and experimental biologists including graduate students post docs and staff scientists in the group. They will contribute by directing planning and executing the analyses of large multi-omic datasets with the goal of identifying biological features (e.g. genes microbes variants) that are relevant to human health. Prospective applicants should have made significant contributions to their area of study as evidenced by a strong publication record. We are seeking creative and highly motivated individuals who want to work in a dynamic multi- disciplinary research environment.
Responsibilities
Qualifications
The Broad Institute of MIT & Harvard is seeking a highly motivated Computational Scientist to join the Xavier Lab to lead and direct data generation and analysis projects designed to determine the underlying factors contributing to health and disease. We are an interdisciplinary group with expertise in computational analysis genomics microbiology and immunology. The candidate for this position will be working closely with computational and experimental biologists including graduate students post docs and staff scientists in the group. They will contribute by directing planning and executing the analyses of large multi-omic datasets with the goal of identifying biological features (e.g. genes microbes variants) that are relevant to human health. Prospective applicants should have made significant contributions to their area of study as evidenced by a strong publication record. We are seeking creative and highly motivated individuals who want to work in a dynamic multi- disciplinary research environment.
Responsibilities
- Oversee data generation and data analysis across various internal and external collaborations. Includes working datasets such as single-cell RNA-Seq single-cell ATAC-Seq spatial transcriptomics proteomics metabolomics and/or microbiome data.
- Demonstrate flexibility to execute tasks requiring various skill levels and learn new skills as needed.
- Perform analyses using current processes and identify propose and implement improvements to ensure output of high-quality datasets.
- Work with other team members and leadership to plan project requirements and timelines shift priorities as needed and efficiently execute project tasks.
- Identify and help solve methodological problems including adjustments to experimental and computational protocols to ensure generation of high-quality datasets suited to answer core biological questions.
- Use single cell and spatial transcriptomic approaches to understand tissue organization and how they are altered in disease environments such as chronic inflammation.
- Use a systems medicine approach to understand inflammatory and other diseases.
- Develop novel methods to facilitate exploration of unstructured datasets.
- Write well-crafted maintainable scalable and performant code.
- Lead and carry out projects with minimal supervision.
- Participate in writing papers and grant proposals.
- Present project progress during group meetings.
Qualifications
- Ph.D. in Computational Biology Computer Science Physics Math Statistics or related quantitative fields.
- 4 to 5 years of experience working on projects utilizing bioinformatics data analysis and statistics.
- Excellent critical thinking research and analytical skills.
- Excellent communication and interpersonal skills and the ability to work with biologists computational biologists data scientists and software engineers.
- Must be able to work independently as well as part of a team in a fast-paced highly collaborative environment.
- Must have experience that demonstrates the ability to carry out a variety of tasks in parallel recognize and solve problems effectively and shift priorities rapidly.
- Scientific and numerical programming in Python or R and knowledge of Machine Learning methods.
- Well versed in Next Generation Sequencing pipelines (single-cell RNA-Seq single-cell ATAC-Seq etc.).
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:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Broad Institute is a multidisciplinary community of researchers on a mission to improve human health.
