Computational Associate II - Talkowski Laboratory

General information

Location

Cambridge, MA

Ref #

45073

Job Family

Research

Workplace

Hybrid

Date published

10/14/2026

Time Type

Full time

Pay Range

$58,000.00/yr - $80,667.00/yr

Description & Requirements

The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Broad Institute of MIT and Harvard is seeking a highly motivated, enthusiastic Computational Scientist to work with and support our research group in analyzing sequencing data to identify structural variants within the human genome using genomic population databases and aggregating phenotype and genotype datasets.

We are comprised of an interdisciplinary group of scientists, technicians, bioinformaticians, computational biologists, and postdoctoral fellows who work together in a mutually supportive and respectful environment. Ideas are freely shared, and contributions are highly valued. We are dedicated to characterizing genomic variation contributing to human disease, with a focus on the relationship between genome structure and function. The lab integrates molecular and computational genomics methods to investigate the genetic architecture of neuropsychiatric disorders and develop new technologies for translational applications in genetic diagnostics. The lab has served as a hub for novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders.

We are seeking a candidate to perform high-quality, large-scale computational analyses under the group leader’s supervision in a timely manner. Successful candidates are expected to excel at critical thinking, be quick learners of new analytical approaches, and apply or develop novel computational methods to solve complex problems. Candidates should have practical experience with programming languages, such as Java, C++, R, and/or Python. Must also have experience with computational analysis, algorithm development, and statistical analysis. Knowledge of existing bioinformatics analysis tools, methods, and databases is a significant plus.

Candidates will have the opportunity to work in a unique translational genomics environment within the CGM, which seeks to integrate computational genomics, technology development, and molecular genomics methods. The MGH and the Broad Institute provide a vibrant research environment with close links to top academic institutions across the Boston area and provide the potential for your contributions to be used and recognized worldwide.

This position is hybrid, and candidates can work remotely as needed

Education requirements

BS in similar field with 2+ years of experience or a MS degree in a quantitative discipline (such as computational biology, biostatistics, statistical genetics, computer science, bioinformatics, or in biology with a strong quantitative background).

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 [email protected] for assistance.