Data Analyst I, Center for Genomic Medicine
Boston, MA, United States
General Summary/ Overview Statement:
Working in the Center for Genomic Medicine (CGM) the Data Analyst will work directly under the supervision of the principal investigator.
The Analyst will be be a member of a larger collaborative and dynamic research environment of the Diabetes Genetics Research Group, an interdisciplinary team of clinicians, biostatisticians, computational biologists, bioinformatics analysts, software engineers, and laboratory scientists who are working together to investigate the genetic risk factors of type 2 diabetes and its pharmacological treatments. The research group is based both at the CGM and the Broad Institute of MIT and Harvard, and the position will involve close interactions with team members and collaborators in the Diabetes Genetics Research Group.
The Analyst will work on innovative projects, such as a present investigation that leverages large-scale electronic health record (EHR)-linked biobanks to study the genetic predictors of response to different classes of glucose-lowering medications, including glucagon-like peptide-1 receptor agonists (GLP-1 RAs). The analyst will curate EHR datasets, perform quality control, and conduct genetic association analyses to predict drug response outcomes within these biobanks. These responsibilities will contribute to the overarching goal to use genetics to identify individuals who are most likely to benefit from specific classes of medications and those who should avoid a certain medication due to a higher risk of developing side effects, in order to advance precision medicine in type 2 diabetes.
Will work with genetic and phenotypic data and within an environment that is team-based, highly supportive, and collegial. Apply research experience in the field of biostatistics or genetics and . demonstrate innovative and analytical thinking, and excellent technical, and strong communication skills.
Principal Duties And Responsibilities:
Develop, deploy, and document cloud-based data analysis pipelines for the analysis and integration of large genetics and biomarker datasets.
Apply cutting-edge computational, mathematical, and statistical methods and algorithms in distributed cloud-computing frameworks.
Work closely with a multidisciplinary team to analyze large genomic datasets generated by NIH-funded projects.
Critically review, summarize, and communicate results to researchers and collaborators, and contribute to publications.
Participate in meetings, work teams, committees and other responsibilities as assigned.
Skills & Competencies Required:
Fluency in Unix and standard bioinformatics tools (Python, R, or equivalent).
Prior knowledge of statistical methods for genomic data analysis is strongly preferred. Experience with cloud-based computational environments is desirable.
High technical and analytical skills, including ability to learn new computational tools and packages.
Demonstrated capability as highly organized, detail-oriented, self-motivated, and able to work independently as well as within cross-functional teams.
Education:
Minimum Required:
Bachelor’s Degree
Preferred:
Master’s Degree
Field of Study/Additional Specialized raining: Undergraduate degree in Computer Science, Bioinformatics, Statistics, or related field.
Experience:
Required:
Prior work experience in a data analytical role within computer science, bioinformatics, statistics, genetics, mathematics, or related field.
Preferred:
Prior knowledge of statistical methods for genomic data analysis is strongly preferred.
Experience with cloud-based computational environments is desirable
Working Conditions:
This job is hybrid; it can be performed remotely but may require in-person trips to MGH for onboarding, training, meetings and other on-site needs as applicable.
Includes normal conditions related to the work, including prolonged sitting and keyboard use .
Primary Location
MA-Boston-MGH 185 Cambridge
Work Locations
MGH 185 Cambridge
Job
Data/Analytics
Organization
Massachusetts General Hospital(MGH)
Schedule
Full-time
Standard Hours
40
Shift
Day Job
Employee Status
Regular
Recruiting Department
MGH Center for Genomic Medicine
Job Posting
Mar 28, 2024
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