Computational Scientist I - McCarroll Lab

Are you ready to push the boundaries of neurobiology at the intersection of big data and human health? The McCarroll Lab at the Broad Institute of MIT & Harvard is seeking a passionate, high-potential Computational Scientist I to join our mission of decoding the genetic architecture of the human brain. In this role, you will work at the cutting edge of genomic research, developing innovative analytical pipelines to uncover how specific genes and alleles contribute to neurobiological variation and brain vulnerability. If you are a curious problem-solver who thrives on translating complex datasets into biological insights, this is your opportunity to launch a career at the world’s leading biomedical research institution.

As a key member of our collaborative research team, you will engage in the full lifecycle of computational discovery, from processing large-scale genomic data to building the statistical models that define the next generation of neuroscience. We are looking for an individual who is eager to learn, comfortable with iterative experimentation, and excited to contribute to high-impact projects that aim to transform our understanding of the brain. This hybrid position offers a unique environment where technical rigor meets scientific creativity, providing you with the mentorship and resources necessary to grow as an independent scientist while tackling some of the most challenging questions in modern medicine.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.