Research Assistant | Computational Biology

We are seeking a motivated and detail-oriented Research Assistant to join our interdisciplinary team. This role is ideal for a recent graduate with a background in Bioinformatics, Computer Science, or the Life Sciences who is eager to apply their computational skills to cutting‑edge biological research. As a key member of our “dry lab,” you will support the analysis of complex datasets— including single‑cell RNA‑seq and spatial transcriptomics—to help uncover new insights into disease biology, with a particular focus on oncology.

You will work closely with both experimentalists and senior computational biologists, gaining hands‑on experience in R, Python, and High‑Performance Computing (HPC) environments. The successful candidate will be a proactive problem‑solver who enjoys translating raw data into biological meaning and thrives in a collaborative, fast‑paced research setting. This is an excellent opportunity to build a career at the intersection of data science and modern medicine.

• Bachelor's degree in Bioinformatics, Computational Biology, Computer Science, Molecular Biology, Statistics, or a related quantitative field.

Experience in lieu of a degree is accepted.

New graduate with 0–1 year of relevant coursework or internship experience preferred.

• Core Bioinformatics: Solid understanding of bioinformatics workflows and a keen interest in applying them to real‑world biological questions.
• Programming
  
  Skills:
  
  Working knowledge of Python and R for data manipulation; familiarity with the Linux/Unix command line (Bash) is a plus.
• Statistical Literacy: Ability to apply basic statistical methods to analyze and interpret biological data accurately.
• Computing Environments: Basic exposure to—or strong desire to learn—High‑Performance Computing (HPC) or cloud‑based analysis environments.

• Next‑Gen Sequencing (NGS): Familiarity with single‑cell RNA‑seq or spatial transcriptomics through coursework, internships, or senior thesis projects is highly desirable.
• Interest in Oncology: A passion for cancer research; prior exposure to oncology datasets is a bonus but not required.

• Interdisciplinary Teamwork: Strong interpersonal skills with the ability to communicate technical concepts to colleagues with diverse backgrounds.
• Adaptability: Proactive learner comfortable working in a small, fast‑paced team and eager to take on new computational challenges.

The Brigham and Women’s Hospital, Inc. is an Equal Opportunity Employer. By embracing diverse skills, perspectives, and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.