Computational Neurobiology Associate: RNA-Seq Insights

Broad Institute of MIT and Harvard; Cambridge (MA); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading research institute is seeking a motivated Computational Associate II to analyze RNA-Seq data and develop computational tools. The role involves collaboration with biologists to investigate neurobiological mechanisms of psychiatric disorders. Candidates should possess a BS with relevant experience or an MS in related fields, and proficiency in R or Python is essential. The opportunity includes contributing to innovative research in a fast-paced environment.

Qualifications

• BS with 3+ years of related experience or MS in Bioinformatics, Computer Science, or other relevant scientific discipline.
• Familiarity with next‑generation sequencing data analysis tools.
• Ability to work independently and as part of an interdisciplinary team.

Responsibilities

• Analyze large RNA‑Seq datasets to profile transcriptomes and derive biological insights.
• Work with wet‑lab biologists to design and implement experiments for computational analysis.
• Develop and maintain computational tools for analysis.

Skills

Experience working with RNA‑seq data

Proficiency in R

Proficiency in Python

Statistical analysis

Familiarity with next‑generation sequencing data analysis tools

Understanding of molecular biology

Familiarity with single‑cell data analysis

Working on a computing cluster/server (Unix/Linux)

Designing computational methods

Excellent organization and time management skills

Education

BS in a relevant field with 3+ years of experience

MS in Bioinformatics or related field with 1+ year of experience

Job description

A leading research institute is seeking a motivated Computational Associate II to analyze RNA-Seq data and develop computational tools. The role involves collaboration with biologists to investigate neurobiological mechanisms of psychiatric disorders. Candidates should possess a BS with relevant experience or an MS in related fields, and proficiency in R or Python is essential. The opportunity includes contributing to innovative research in a fast-paced environment.