Computational Scientist (Genomics)

Location: On-site in Burlington, Massachusetts, United States

Salary: $100,000–$140,000 per year

Company

The hirify.global of MIT and Harvard translates genomic research into scalable products and computational services for the scientific community.

What you will do

• Design, implement, and maintain scalable computational pipelines for high-throughput genomic data.
• Define computational requirements for new genomic assays and technologies with experimentalists and product development teams.
• Lead computational analysis of complex datasets to validate product performance, identify technical artifacts, and refine analytical methods.
• Bridge research laboratories and software engineering teams by integrating biological insights into automated workflows.
• Develop and optimize emerging single-cell products while contributing to broader genomic and multiomic initiatives.

Requirements

• PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, Physics, or a related quantitative field, plus 3+ years of related experience.
• Strong computational, statistical, and data analysis skills with hands-on experience handling high-dimensional biological or genomic datasets.
• Proficiency in developing software and writing clean, maintainable code in modern programming languages such as Python, R, or C++.
• Solid foundation in applied mathematics and statistics, including probability theory, hypothesis testing, linear algebra, and dimensionality reduction.
• Excellent oral and written communication skills and the ability to collaborate across interdisciplinary teams of experimentalists and software engineers.
• Ability to solve complex, open-ended technical problems independently and as part of a team.

Culture & Benefits

• Full-time schedule based on 40 hours per week.
• Medical, dental, vision, life, and 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, and an employee assistance program.
• Equal opportunity employment and reasonable accommodation support during the application and interview process.