GENERAL SUMMARY/ OVERVIEW STATEMENT: Summarize the nature and level of work performed.
The Manning Lab within the Clinical and Translational Epidemiology Unit at Massachusetts General Hospital, Department of Medicine at Harvard Medical School, and the Data Science and Metabolism Programs at the Broad Institute of MIT and Harvard is currently seeking a Data Analyst I to support Dr. Alisa Manning, PhD and her research group. The Manning Lab studies the molecular and mechanistic basis of insulin resistance and obesity and is known for developing statistical strategies for translational epidemiology using whole genome sequence association studies, physiological and molecular studies in humans and integrative analytics. Our goal is to understand the relationship between Genes, Environment and Disease to foster a stimulating and interdisciplinary research environment with local and international collaborators on a range of projects.
The candidate must have training in biostatistics, epidemiology, statistics, or related field. The Data Analyst will work with a team of investigators, clinical research coordinators, analysts, post-doctoral fellows on various projects. The Data Analyst will be responsible for a myriad of data-centric tasks, including data cleaning, harmonization, quality control, analysis, interpretation, as well as the development of analysis plans, execution of statistical tests and models, aiding in data visualization, and communicating findings in presentations and manuscripts.
PRINCIPAL DUTIES AND RESPONSIBILITIES: Indicate key areas of responsibility, major job duties, special projects and key objectives for this position. These items should be evaluated throughout the year and included in the written annual evaluation.
Perform genome-wide association analyses and gene-environment interaction analyses using baseline and longitudinal data from diabetes studies.
Collaborate with researchers to develop computational methods for analyzing genomic and genetic data in diabetes research.
Harmonize phenotype data from biobanks to facilitate integrative analyses with omics and genetics approaches.
Contribute to the development and implementation of data processing pipelines for large-scale genomic and genetic datasets.
Utilize problem-solving skills to address complex analytical challenges and optimize data analysis workflows.
Contribute to the communication of findings effectively through presentations and scientific publications.
Qualifications
SKILLS/ ABILITIES/ COMPETENCIES REQUIRED: (MUST be realistic, measurable, objective, and related to the essential functions of the job.)
Demonstrated strong analytic ability
Demonstrated experience working in R, Python, or similar programming languages.
Excellent time-management and organizational skills.
Excellent communication and interpersonal skills.
Ability to work individually and within a team to complete tasks related to research projects.
EDUCATION: Specify minimum education and clearly indicate if preferred or required
The ideal candidate should possess either a Master's degree or higher in a relevant field with college-level statistics courses.
EXPERIENCE: Specify minimum creditable years of experience and clearly indicate if preferred or required
Master's degree in Genetics, Bioinformatics, Computational Biology, or a related field.
Required proficiency in statistical programming languages such as R or Python.
Experience with genomic and genetic data analysis techniques, including genome-wide association studies and omics data analysis preferred.
Strong analytical and problem-solving skills with the ability to work independently and collaboratively in a team environment.
Excellent communication skills with the ability to convey complex technical concepts to interdisciplinary audiences.
Prior experience in diabetes research or genetic epidemiology is preferred.
EEO Statement
Massachusetts General Hospital is an Affirmative Action 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.
