Site: The General Hospital Corporation
Job Summary
Summary
Functioning independently and under the direction of the principal investigator, performs high-level, complex scientific research experiments. On a regular basis, contributes to scientific literature, reports, journals, and presentations, and investigates, creates, and develops new methods and technologies for research advancement.
Does this position require Patient Care?
No
Essential Functions
-Investigates, creates, and develops new methods and technologies for research advancement.
-Contributes to scientific literature, reports, journals and presentations.
-Develops proposals and study plans, and coordinates the institutional and external reviews of these proposals.
-Responsible for supervising routine reports of laboratory studies, particularly as stipulated in material transfer agreements or corporate-sponsored research agreements, to be distributed to industry scientific counterparts and academic collaborators.
-Reports on the progress of work at weekly laboratory seminars. Semi-autonomously writes up experimental work for grant applications, book chapters, and journal publications.
-Responsible for preparing summaries of laboratory studies for meeting presentations and publications.
-Calculates, transcribes, analyzes, and prepares figures of data using advanced statistical techniques.
-Semi-autonomously identifies, interprets, and applies findings and methods from scientific literature relevant to projects.
Qualifications
Education
Master's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
No
Licenses and Credentials
Experience
Experience in an academic or laboratory research setting 3-5 years required
Knowledge, Skills and Abilities
- Must be a problem solver willing to take the initiative and prioritize tasks, thereby ensuring the smooth and efficient conduct of several projects simultaneously.
- Excellent organizational skills in order to formulate, implement, and monitor a number of interrelated tasks.
- Ability to exercise discretion and good judgment in handling of sensitive and confidential information.
- Ability to work under deadline pressure and prioritize work from several sources.
- Excellent interpersonal skills for internal and external communications.
Additional Job Details (if applicable)
We are seeking a full-time Computational Associate - Human Genomics and Multi-omics for Dr. Michael Honigberg's interdisciplinary research team across Massachusetts General Hospital and the Broad Institute of MIT and Harvard. This position offers a unique opportunity to work on cutting-edge genetic epidemiology, polygenic risk score development, common and rare variant analysis, and multi-omic integration, including epigenetics, proteomics, and metabolomics.
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.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
The responsibilities may vary according to projects, but include the following:
• 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
• Makes proficient intellectual contributions to scientific strategies of the lab and plays a leadership role by acting as subject matter expert
• Contributes to the design and execution of experiments and/or research projects
• Exercises judgment in selecting methods and technologies to obtain results
QUALIFICATIONS:
Applicants should possess:
• 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
EDUCATION:
• Master's degree in genetic epidemiology, biostatistics, statistics, or a related field (Bachelor's degree with relevant experience will also be considered)
EXPERIENCE:
Previous Research experience (inclusive of graduate experience) preferred
Remote Type
Onsite
Work Location
185 Cambridge Street
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$63,252.80 - $102,596.00/Annual
Grade
7
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
