Data Scientist Division Of Aging

Company: Brigham and Women's Hospital
Location: Boston
Posted on: May 16, 2022

Job Description:

minutes of inactivity. Job Description - Data Scientist Division Of Aging (3184952) Job Description Data Scientist Division Of Aging - ( 3184952 ) Description GENERAL SUMMARY: This position offers an exciting opportunity for an individual with training and experience in in data science or statistical genetics, who has an interest in applying novel genetic data and causal inference methods to support drug discovery and development. The t successful candidate will possess strong skills in running genome-wide association analysis for clinical phenotypes using electronic health records and quantitative trait loci (proteomics, metabolomics, methylation and gene-expression) for large-scale population studies She/He/They will become a member of an interdisciplinary team with expertise in epidemiology, statistical genetics, health informatics and clinicians from the Division of Aging as well as the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) at VA Boston Healthcare System (VABHS), the CAUSALab at Harvard T.H. Chan School of Public Health (HSPH) (Professor Miguel Hernan's team) and will have access to data from large-scale genomic biobanks such as the Million Veteran Program (MVP), UK-Biobank, and FinnGen, etc. for the purpose of drug-discovery and development.

• To develop statistical pipelines using statistical methods, such as Mendelian randomization and colocalization, that link clinical data, genomics and other omics for the purpose of drug discovery.
• To lead in the preparation of large-scale datasets for genomic analysis for drug discovery purposes.
• To contribute to the creation of standardized genomic resources on clinical phenotypes and molecular traits using private and publicly available genomics resources.
• To work with large-scale genomic biobanks (such as MVP) for drug-discovery and development purpose.
• To contribute to the development of de-novo protocols for requesting data access to biobanks and EHR resources (e.g. VABHS).
• To independently complete data analyses using usual statistical genetics software (R, Linux, Phyton, PLINK etc).
• To lead in the writing of manuscripts for publication in peer-reviewed journals and disseminate study findings at local, regional, and national scientific meetings.
• To work collaboratively with members of the Division of Aging at BWH, CAUSALab at HSPH and MAVERIC at the VABHS in developing research proposals.
• Participate in administrative activities within the Division of Aging. Qualifications QUALIFICATONS: Candidates with a background in statistical genetics, data science, and multi-omics data analysis are encouraged to apply. Experience with statistical methods such as Mendelian randomization and colocalization methods will be an advantage. Successful candidates will demonstrate strong skills in integrating multiple sources of data from publicly available as well as private genomic and multi-omics resources using standard and novel software including R, Phyton, Linux, etc, manuscript preparation, She/He/they will collaborate with other investigators and faculty members of BWH, VABHS and HSPH to develop new research proposals, prepare grant applications, and other activities.
• Doctoral degree in Statistical genetics, Data Science or related fields
• BSc in Biostatistics, Mathematics, Computational Science or related fields
• Minimum of 1 year of research experience
• Publication record in peer-review journals BWH 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. Primary Location Work Locations : BWH Boston Main Campus 75 Francis St Boston 02115 Job : IT/Health IT/Informatics - Other Organization : Brigham & Women's Hospital(BWH) Schedule : Full-time Standard Hours : 40 Shift : Day Job Employee Status : Regular Recruiting Department : BWH Department Of Medicine / Division Of Ageing

Keywords: Brigham and Women's Hospital, Boston , Data Scientist Division Of Aging, Other , Boston, Massachusetts