Computational Associate

The Computational Associate will participate in data analysis for two ambitious multi-omic research projects focused on emerging cardiovascular risk factors. This role is ideal for post-Masters students looking to gain hands‑on research experience, build their publication record, and explore research opportunities before applying to PhD programs. Dr. Honigberg has a robust publication record and is committed to providing comprehensive training, guidance in research and writing, and opportunities for collaboration and presenting research work.

• Perform genetic and multi-omic analysis
• Collaborate with an interdisciplinary team, including researchers at Massachusetts General Hospital (MGH), Harvard Medical School, and the Broad Institute of MIT and Harvard
• Participate in scientific writing and contribute to publications
• Present research findings at internal and external meetings
• Make proficient intellectual contributions to scientific strategies of the lab and play a leadership role by acting as subject matter expert
• Contribute to the design and execution of experiments and/or research projects
• Exercise judgment in selecting methods and technologies to obtain results

• Experience analyzing genetic and genomic data, such as genome-wide association studies (GWAS) or rare variant analysis (Preferred but not required)
• Strong programming skills (e.g., R, Python)
• Excellent organizational, communication, and collaborative skills
• Self‑motivated and driven to contribute to scientific research

Master's degree in genetic epidemiology, biostatistics, statistics, or a related field. Bachelor's degree with relevant experience will also be considered.

Previous research experience (inclusive of graduate experience) preferred.

• Problem solver willing to take the initiative and prioritize tasks, thereby ensuring the smooth and efficient conduct of several projects simultaneously.
• High degree of computer literacy to use various spreadsheet, database, accounting and word processing programs to assist in administrative, grant proposal preparation, and research reporting activities.
• Excellent organizational skills to formulate, implement, and monitor a number of interrelated tasks.
• Discretion and good judgment in handling sensitive and confidential information.
• Work under deadline pressure and prioritize work from several sources.
• Excellent interpersonal skills for internal and external communications.

• Standing Frequently (34-66%)
• Walking Frequently (34-66%)
• Sitting Occasionally (3-33%)
• Lifting Frequently (34-66%) 35lbs+ (w/assisted device)
• Carrying Frequently (34-66%) 20lbs - 35lbs
• Pushing Occasionally (3-33%)
• Pulling Occasionally (3-33%)
• Climbing Rarely (Less than 2%)
• Balancing Frequently (34-66%)
• Stooping Occasionally (3-33%)
• Kneeling Occasionally (3-33%)
• Crouching Occasionally (3-33%)
• Crawling Rarely (Less than 2%)
• Reaching Frequently (34-66%)
• Gross Manipulation (Handling) Frequently (34-66%)
• Fine Manipulation (Fingering) Frequently (34-66%)
• Feeling Constantly (67-100%)
• Foot Use Rarely (Less than 2%)
• Vision - Far Constantly (67-100%)
• Vision - Near Constantly (67-100%)
• Talking Constantly (67-100%)
• Hearing Constantly (67-100%)

The General Hospital Corporation 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.