Postdoctoral Fellow in Statistical Genetics: The Harvard Medical School Department of Biomedical Informatics is seeking a Postdoctoral Fellow to join the lab of Dr. Luke Jen O’Connor. This position offers the opportunity to work closely with a new faculty member on fundamental questions of inheritance and disease. The research areas include comparing the genetic architecture of rare vs. common genetic variation, developing methods to analyze GWAS data using graphical models, applying cutting-edge methods to understand the genetic architecture of autism, and analyzing rare protein coding genetic association data using machine learning-derived functional features.
Summary Table:
- Designation: Postdoctoral Fellow
- Research Area: Statistical Genetics, Genetic Variation, GWAS Data Analysis, Autism, Machine Learning
- Location: Harvard Medical School Department of Biomedical Informatics, Boston, USA
- Eligibility: Ph.D. or equivalent
- Experience: Substantial research experience in a related field
Job Description: The Postdoctoral Fellow will be part of Dr. Luke Jen O’Connor’s lab and collaborate on research related to genetic architecture and disease. The focus areas include comparing rare and common genetic variation, developing novel methods for analyzing GWAS data using graphical models, studying the genetic architecture of autism using advanced techniques, and utilizing machine learning-derived functional features for the analysis of rare protein coding genetic association data.
Eligibility/Qualification: Applicants should hold or expect to receive a Ph.D. or equivalent degree. While expertise in statistical genetics is not mandatory, substantial research experience in a related field is required.
How to Apply: Interested candidates should send the following documents via email to Dr. Luke Jen O’Connor at loconnor@hms.harvard.edu:
- Curriculum Vitae (C.V.)
- Brief description of research interests
- PDF of one recent paper or preprint
Last Date for Apply: Applications will be accepted until the position is filled. Early applications are encouraged.
Join our dynamic team at Harvard Medical School and contribute to cutting-edge research in statistical genetics and its implications in understanding inheritance and disease.
