GENERAL SUMMARY/ OVERVIEW STATEMENT:
The Ge Laboratory in the Center for Genomic Medicine at the Massachusetts General Hospital, Harvard Medical School, is seeking highly motivated post-doctoral fellow candidates. Our research group develops novel statistical and computational methods to explore the genetic basis of a spectrum of human complex traits and common diseases and to advance precision medicine. Our current research program has particular focuses on: (i) leveraging global biobanks to dissect the genetic architectures of human traits and diseases in diverse populations; (ii) developing scalable and accurate statistical genetic methods such as polygenic prediction and fine-mapping for improved discovery and mapping of common and rare disease-causing variants, and individualized prediction of disease risk and trajectories in clinical settings; (iii) integrating large-scale genomic, neuroimaging, behavioral and clinical data to uncover the genetic and neural underpinnings of brain disorders.
The new hire will be appointed as a Research Fellow at the Massachusetts General Hospital and Post-Doc at the Harvard Medical School.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
The Post-Doctoral Fellow will lead the development of novel statistical and computational methods, and/or perform large-scale genomic, neuroimaging and clinical data analysis to advance the goals of our research program. The Post-Doctoral fellow will be situated in the MGH Center for Genomic Medicine under the guidance and mentorship of Dr. Tian Ge. The fellow will be provided with a vibrant multidisciplinary research environment in close collaboration with the MGH Center for Precision Psychiatry, the Broad Institute, Harvard-affiliated hospitals and several national and international research consortia, as well as training and career development opportunities spanning statistical genetics, psychiatric genetics, neuroimaging genetics, precision medicine and population health.
SKILLS & COMPETENCIES REQUIRED
The ideal candidate should have received (or expect to receive soon) a Ph.D. in human/statistical genetics, applied mathematics, statistics/biostatistics, bioinformatics, computer science, or related field.
- First (or co-first) author of one or more peer-reviewed scientific publications in relevant areas
- Practical experience with Linux environments and proficient in at least one of the widely-used programming languages such as Python, MATLAB, C and R. Experience with high-performance compute cluster and/or cloud computing is a plus
- Excellent English verbal and written communication skills
- Able to work both independently and in a team
EDUCATION:
|
Minimum Required: Doctoral Degree
|
Preferred: Doctoral Degree |
EXPERIENCE:
Required: Recent PhD graduate
SUPERVISORY RESPONSIBILITY (authority to hire, promote, or terminate):
Not Applicable
FISCAL RESPONSIBILITY: Indicate financial “scope” information, e.g. size of budget, volume, revenue, etc.
Not Applicable
WORKING CONDITIONS:
Research setting
EEO Statement