Postdoc: Statistical Genomics & AI for Large-Scale Genetics

Harvard University; Boston (MA); On-site; USD 68,000 - 83,000; Full time

Job summary

Harvard University in Boston invites applications for a Postdoctoral Research Fellow in Statistical Genetics and Genomics. The successful candidate will develop and apply statistical, machine learning, and AI methods to large-scale genetic and phenotypic data under the supervision of Dr. Xihong Lin in the Department of Biostatistics, Harvard T.H.

Chan School of Public Health. The position emphasizes methodological research and collaboration with researchers in NIH consortia, with focus on large

Qualifications

• Ph.D. in a quantitative field with strong research background in statistics and ML.
• Strong background in statistics, ML, programming, and data analysis.
• Genetics/genomics knowledge and good written and oral communication skills.

Responsibilities

• Develop and apply statistical, ML, and AI methods for analysis of large-scale genomic and phenotype data.
• Collaborate with investigators in NIH consortia and subject-matter researchers.
• Work with large datasets including whole-genome sequencing, biobanks, single-cell and CRISPR multiome data.

Skills

Statistics

Computing

Machine Learning

Genetics & Genomics

Programming

Data Analysis

Education

Ph.D. in statistics/biostatistics/computer sciences/computational biology

Job description

Harvard University in Boston invites applications for a Postdoctoral Research Fellow in Statistical Genetics and Genomics. The successful candidate will develop and apply statistical, machine learning, and AI methods to large-scale genetic and phenotypic data under the supervision of Dr. Xihong Lin in the Department of Biostatistics, Harvard T.H.

Chan School of Public Health. The position emphasizes methodological research and collaboration with researchers in NIH consortia, with focus on large