Career Center

An NIH-funded post-doctoral position in human/statistical genomics is available in the laboratory of Dr. J. Danny Muehlschlegel, Department of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School.

We are looking for an enthusiastic and energetic individual to join our collaborative research effort, focusing on regulatory genomics and human disease genetics. We are principally interested in understanding how genetics contributes to complex traits, particularly Cardiovascular Genomics and heart disease. Projects include analysis of sequencing data, genomics data, biobank data, and GWAS data. Additionally, we are interested in performing transcriptional network and pathway analysis and detection of disease susceptibility genes/networks. The position offers a stimulating and multi-disciplinary environment and the opportunity to work with researchers at Harvard Medical School, Brigham and Women’s Hospital, the Program in Medical and Population Genetics of the Broad Institute of MIT and Harvard, and the Center for Genetic Medicine at Northwestern University Feinberg School of Medicine.

Because our work involves multiple collaborators, a good balance between independence and team spirit is essential, and effective communication skills are necessary. Applicants are expected to be familiar with bioinformatics tools and genomics databases. Women and minority applicants are encouraged to apply.

The qualified candidate should be highly motivated, with experience in genomics, bioinformatics, computational biology, human population genetics, or a related field, with experience in statistics.

Qualified candidates should have:

• A Ph.D. in a quantitative discipline such as statistical genetics, computational biology, bioinformatics, computer science, and preferably less than 3 years out from their PhD
• Proficiency with statistical methods, databases, and programming in a modern programing language (e.g. Python, Perl, Java), with knowledge of R.
• Experience with biological networks and pathways analysis software
• Excellent written and oral communication skills,
• Strong scientific writing skills with first-author publication track-record