Postdoctoral Fellow-MSH-32910-030

Postdoctoral Fellow in Psychiatric Genomics (computational)

Details of the research project: 

The Mullins Lab at the Icahn School of Medicine at Mount Sinai is seeking a Postdoctoral Fellow with a PhD in Statistical Genetics, Computational Biology or a similar field, to lead statistical genetic studies of suicide phenotypes. The Psychiatric Genomics Consortium Suicide Working Group is the world’s largest resource for conducting genetic studies of suicidality and aims to elucidate the genetic etiology of suicide outcomes through large-scale genetic studies of common and rare variants, characterization of the shared and distinct genetic architectures of suicide outcomes, elucidation of genetic heterogeneity within suicide outcomes with respect to sex and ancestry, identification of biologically relevant pathways, tissues and cell-types, and exploration of potential causal relationships with modifiable risk factors. The Postdoctoral Fellow will also work on projects in the Mount Sinai Million Health Discoveries Program involving the analysis of genetic and clinical data.

Roles & Responsibilities:

The Postdoctoral Fellow will work under the supervision of Dr. Niamh Mullins, Associate Professor in the Department of Psychiatry, Artificial Intelligence and Human Health, and Genetics and Genomic Sciences, and the Charles Bronfman Institute for Personalized Medicine. Responsibilities will include statistical analysis of genetic and genomic datasets and electronic health records, manuscript writing, oral presentations at lab meetings, consortium calls, and scientific conferences, and engaging in regular collaborative meetings with teams of scientists locally and internationally. 

Roles & Responsibilities:

The Postdoctoral Fellow will work under the supervision of Dr. Niamh Mullins, Associate Professor in the Department of Psychiatry, Artificial Intelligence and Human Health, and Genetics and Genomic Sciences, and the Charles Bronfman Institute for Personalized Medicine. Responsibilities will include statistical analysis of genetic and genomic datasets and electronic health records, manuscript writing, oral presentations at lab meetings, consortium calls, and scientific conferences, and engaging in regular collaborative meetings with teams of scientists locally and internationally. 

Eligibility:

Required:

• PhD in Statistical Genetics, Biostatistics, Computational Biology, Bioinformatics or similar field
• Programming skills (particularly R, Unix/ Linux)
• Experience working with genetic datasets
• Proficiency in running statistical genetics software 
• Excellent written and oral communication skills in English
• Ability to work independently and as part of a collaborative international team
• Working knowledge of GWAS and post-GWAS analyses 
• Experience with diverse ancestry genetic data
• Familiarity with psychiatric nosology