"Postdoctoral Research Position in Statistical Genetics and Genomics"

Postdoctoral Research Position in Statistical Genetics and Genomics

Company:
Harvard University

Job Location:
Cambridge, 02138

Category:
Statistics

Type:
Full-Time

School: Harvard T.H. Chan School of Public Health

Department/Area: Biostatistics

Position Description

Postdoctoral Research Fellow position in statistical genetics and genomics is available at the Department of Biostatistics Harvard T. H. Chan School of Public Health. This position will be supervised by Dr. Xihong Lin (https://www.hsph.harvard.edu/lin-lab/), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative analysis of genetic and genomic data, causal mediation analysis and Mendelian Randomization, polygenic risk scores, and AI/transformer-powered analysis. We seek an individual with strong backgrounds in statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration with subject matter researchers and investigators in large NIH consortia.

Basic Qualifications

Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, computational biology, strong research background in statistics and ML, programming, data analysis, strong genetic and genomic knowledge, as well as good written and oral communication skills.

Special Instructions

Please submit your cover letter, CV, research statement, and three recommendation letters alongside this application.

Contact Information

Daniel Cohen

Contact Email: dpcohen@hsph.harvard.edu

Salary Range

$75,000/year

Minimum Number of References Required: 3

Maximum Number of References Allowed: 4