Computational Scientist I - McCarroll Lab

Job summary

GENERAL INFORMATION Location Cambridge, MA Ref # 44407 Job Family Research Workplace Hybrid Date published 06/23/2026 Time Type Full time Pay Range $88,000.00/yr - $124,000.00/yr DESCRIPTION & REQUIREMENTS The Bro*** of MIT & Harvard is looking for an outstanding Computational Scientist to join the McCarroll Lab (http://mccarrolllab.org/).

Benefits

Qualifications

• The Bro*** of MIT & Harvard is looking for an outstanding Computational Scientist to join the McCarroll Lab (http://mccarrolllab.org/).
• The goal of the McCarroll lab is to understand how genes and alleles give rise to human neurobiological variation and to the brain’s biological vulnerabilities to DNA-repeat disorders and major mental illness.
• The successful candidate will join a multidisciplinary group and support a wide variety of projects conducting cutting-edge research on the molecular, cellular, and neurobiological mechanisms of brain disorders.
• This position will work in close collaboration with scientists, project and data managers, and software engineers on a variety of projects spanning between the Bro*** and Harvard Medical School.
• The Computational Scientist will be actively engaged with multiple projects, and will need to have exceptionally strong computational and organizational
• PhD in Computer Science, Mathematics, Statistics, Biology, Bioinformatics, or a related field
• Minimum years of experience: 2+ years of direct work experience
• Fluency in Python and/or R
• Solid understanding of one or more related areas of biology
• Experience working on multiple complex projects simultaneously
• Excellent organizational
• and other factors permissible by law.

Responsibilities

• Develop, refine, optimize and apply analysis methods to a variety of datasets, including single-cell RNA-seq, ATAC-seq, and multiome data.
• Analyze data to address biological questions about disease pathogenesis, genetics, and biomarkers.
• Create innovative new analysis methods allowing the project team and the broader scientific community to access, analyze and interact with data generated by projects; carefully document and annotate source code.
• Develop data-visualization capabilities for the research team, and create visualizations of data for a variety of internal and external stakeholders.
• Work with scientists, data managers and software engineers toward the creation of optimal analysis workflows for high-data-volume experiments.
• Participate in project-planning and project-analysis meetings as well as software-planning meetings, communicating the needs and tradeoffs.

Degrees

Industry