News announcement

Drs. Hailiang Huang (https://huanglab.ac) and Tian Ge‘s groups at the Massachusetts General Hospital are looking for a highly motivated individual to join asa postdoctoral fellow. This position will be jointly affiliated with the Broad Institute, Harvard Medical School and the Massachusetts General Hospital.

The fellow will be responsible for developing novel statistical genetics methods and analyses to drive the understanding of human complex disorders. More specifically, we are interested in developing methods to integrate large-scale genomic, expression, methylation and other omics data from diverse ancestries, and methods that can elucidate the contribution of rare variants in complex disorders. Being part of several consortia and biobanks, our group has access to large-scale genomic data on psychiatric disorders, autoimmune disorders, and biobanks across the world.

The candidate should have a strong computational background, good publication history, knowledge of current research methods, and be able to adapt quickly and be part of a cross-functional team in a rapidly changing environment.

Our labs provide a vibrant multidisciplinary research environment with close links to the Broad Institute, MIT, Harvard and Harvard-affiliated hospitals, and training and career development opportunities spanning statistical genetics, computational biology, psychiatric genetics, precision medicine and population health. As a member of our groups, you will be provided the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and complex disease research.

QUALIFICATIONS

• PhD in mathematics, statistics, computer science, bioinformatics, human genetics or other related fields.

• Good publication history in computational biology, genetics or epigenetics research.

• Strong initiative and ability to take ownership of assigned tasks and projects essential.

• Solid understanding of genetic analysis methodologies and tools, and/or computational methods frequently used in analyzing the regulatory genome.

·       Understanding of population genetics is a plus.

·       Practical experience with Linux environments and proficient in a least one of the following programming languages:  Java, C, MATLAB, R or Python.

·       Demonstrated attention to detail and analytical skills.

·       Excellent communication and interpersonal skills.

·       Excellent written and oral presentation skills.

CANDIDATES

To apply, please send your cover letter, CV and a research statement to Drs. Hailiang Huang (hhuang@atgu.mgh.harvard.edu) and Tian Ge (tge1@mgh.harvard.edu). In your cover letter please include contact information for at least three references who are familiar with your academic performance and/or research experiences.