Postdoctoral Fellow
The Research Foundation SUNY Downstate
Brooklyn, NYFull-time$56–70K/yrPosted 7mo agoSeen in employer's feed 4 days ago
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Job overview
The Research Foundation SUNY Downstate is hiring a Postdoctoral Fellow. The Postdoctoral Associate will contribute to NIH and VA funded research projects focusing on trans-ancestry genetic studies of major depression, bipolar disorder, schizophrenia, and substance use. The role involves applying various methods such as genome-wide association studies, analysis of rare and copy number variants, polygenic risk scoring, and machine learning applications. Training will be tailored to the fellow's experience and needs, with an emphasis on collaborative research.
Key focus areas include Contribute to NIH and VA funded research projects, Apply methods including genome-wide association studies, and Analyze rare and copy number variants.
Successful candidates bring PhD Or MD/PhD In Genetics Or Related Field. Important skills include Programming, Data Analytic Skills, Statistics, and Genome Informatics Tools. Preferred (not required): Genome-Wide Association Studies, Analysis Of Rare And Copy Number Variants, Polygenic Risk Scoring, and Casual Modeling.
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Full job description
Postdoctoral Associate
ANNOUNCEMENT OF
PROFESSIONAL
VACANCY
Applications are invited for consideration to the following position
Department:
Psychiatry
Budget Title:
Postdoctoral Associate
Salary Range:
(Based Upon Experience)$56,000.00 - $70,000.00
Descriptive Title:Postdoctoral Fellow
Full-time, Monday - Friday, 9:00am - 5:00 pm, 37.5 hours per week.
Vacancy
23-7
Description of Duties:
This is a grant funded position. -The fellow will contribute to NIH and VA funded research projects including trans-ancestry genetic studies of major depression, bipolar disorder, schizophrenia, and substance use. -Methods applied may include genome-wide association studies, analysis of rare and copy number variants, polygenic risk scoring, models of comorbidity including casual modeling, and machine learning applications. -Training is tailored to the experience and needs of the fellow and has an emphasis on collaborative research. -The fellow will take advantage of large sets of genomic, clinical, and behavioral data derived from a wide variety of large-scale studies (e.g., UK Biobank, All of Us, PsycheMERGE, Million Veteran Program). -The fellow will have the opportunity to join the Institute for Genomics in Health (IGH), the Population Genetics and Environment in major Depression (POP-GEM) Working Group, and the PsycheMERGE Diversity Initiative, as well as collaborate with the Psychiatric Genomics Consortium (PGC) and the Latin American Genomics Consortium (PGC). -The appointed fellow will receive team mentorship from IGH faculty including Drs. Roseann E. Peterson, Tim Bigdeli, Jacquelyn Meyers, Peter Barr, Christos Chatzinakos and Markos Tesfaye Woldeyohannes(www.genomics-brainscience-populationhealth.com). -
Qualifications:
REQUIRED: -Postdoctoral position in Psychiatric and Statistical Genetics. Applicants should have a PhD or MD/PhD and a background in one of the following fields: human genetics, behavioral genetics, biostatistics, mathematics, statistics, computational biology, bioinformatics, computer programming, or similar. PREFERRED: -Strong candidates will have excellent programming and data analytic skills, knowledge of statistics, familiarity with genome informatics tools, and a strong publication record is preferred, but interested applicants are encouraged to apply regardless of past training experiences.
Persons interested should mail their resume and a letter of introduction
Additional Information:Interested candidates should submit a 1-page letter of intent and resume to Dr. Roseann E. Peterson, Associate Professor of Psychiatry and Behavioral Sciences: [email protected]
Closing Date for Receipt of Applications: 01/01/29
The Research Foundation is committed to equal opportunity and non-discrimination in employment for all qualified persons without regard to race, color, religion, sex, gender identity or expression, transgender status, national origin, citizenship, age, creed, disability, veteran status, marital status, familial status, military status, domestic violence victim status, sexual orientation, genetic characteristics/genetic information, pregnancy-related conditions, reproductive health decisions, prior arrest or conviction records, or any other trait protected by federal, state, or local law.
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