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Postdoctoral Associate in Statistical Genetics and Genomics at Boston University Boston University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two-year renewable full-time postdoctoral position with salary listed at $82,500 to $127,500 depending on qualifications and experience. The post also mentions potential teaching opportunities for interested applicants.
Country
United States
University
Boston University

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About this position
Boston University’s School of Public Health, Department of Biostatistics is advertising a two-year renewable postdoctoral associate position in statistical genetics and genomics. The role focuses on developing and implementing innovative statistical and machine learning approaches for the analysis of genetics and genomics data, with an emphasis on big data methods and collaborative research.
Applicants should hold a PhD or equivalent doctoral degree in statistics, biostatistics, or a closely related quantitative field. Strong programming skills in R and/or SAS are required, while Python and experience with Linux cluster computing are strongly preferred. The post also values excellent communication and writing skills, and experience with genetics/genomics datasets is especially relevant.
The position is based in Boston, Massachusetts, United States. Salary is listed at $82,500 to $127,500, depending on qualifications and experience. The post notes potential teaching opportunities for interested applicants.
To apply, email Dr. Ching-Ti Liu at [email protected] with a CV, cover letter, and contact information for three references. Use the subject line provided in the announcement and submit through the linked Boston University application page.
Funding details
Two-year renewable full-time postdoctoral position with salary listed at $82,500 to $127,500 depending on qualifications and experience. The post also mentions potential teaching opportunities for interested applicants.
What's required
Applicants must hold a PhD or equivalent doctoral degree in statistics, biostatistics, or a closely related quantitative field with strong computing skills. Strong programming skills in R and/or SAS are required, and Python plus Linux cluster computing experience is strongly preferred. Applicants should be highly motivated, dependable, and have excellent communication and writing skills, with experience in methods and analysis of big data, especially genetics and genomics datasets, preferred.
How to apply
Email Dr. Ching-Ti Liu with a CV, cover letter describing research experience and career goals, and contact information for three references. Use the subject line specified in the post.
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