Postdoctoral Position - Systems Biology and Machine Learning

Postdoctoral position in Systems Biology and Machine Learning  of anhedonia and stress related mental health outcomes - Division of Depression and Anxiety Disorders
McLean Hospital/Harvard Medical School

Dr. Daskalakis’ Neurogenomics and Translational Bioinformatics Laboratory (NG-TBL) at McLean’s Division of Depression and Anxiety Disordersconducts research focused on the genomic connections between stress and brain functions. NG-TBL is affiliated with the Department of Psychiatry at Harvard Medical School, and the Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard. 

Daskalakis Lab is seeking a postdoctoral fellow with a primary focus on the development and application of systems biology and machine learning approaches to understand the multi-omic and multi-modal contributions to susceptibility and resilience to anhedonia and stress related mental health outcomes.

The fellow will take advantage of large sets of genomic, physiological, neuroimaging, clinical, and behavioral data derived from a wide variety of translational studies. The multidisciplinary team involves leaders in biostatistics, clinical psychiatry, functional genomics, genetics, machine learning, and neuroimaging.

Current projects include analyses conducted in the context of international consortia: ENIGMA Consortium, PsychENCODE Project, Psychiatric Genomic Consortium, and UK Biobank.

The fellow will be mentored by Dr. Nikolaos Daskalakis, MD PhD and have access to the McLean Hospital and Harvard Medical School academic environment and resources. The successful candidate will be proposed for academic appointment as a Research Fellow in the Department of Psychiatry at Harvard Medical School. 

Job Description: We are looking for a data scientist with PhD in biostatistics, genetics, neuroscience, machine learning or related field with demonstrated experience in applying machine learning to large datasets. A successful candidate will be motivated and enthusiastic about understanding the neurobiology of psychiatric disorders. The appointed researcher will work full-time on the development and implementation of computational models, and their interpretation. 

Preferred is a candidate with the following attributes: 
1)    experience applying machine learning to large datasets 
2)    a strong background in data science programming languages such as Python and R; programming experience in C++ or MATLAB is a plus
3)    experience with heterogeneous high-dimensional biological data such as genomic and/or neuroimaging data
4)    experience with high performance computing; experience with cloud computing is a plus
5)    demonstration of reproducible research tools (e.g., github); prior development of software is preferred; 
6)    self-starter with excellent problem-solving, communication, organizational and creative skills 

How to Apply:
To apply for this position, email a cover letter and CV to: ndaskalakis@mclean.harvard.edu
Please include the names & contact details for three references in your application. 

McLean Hospital, an affiliate of Harvard Medical School, is an Equal Opportunity Employer. It is the policy of McLean Hospital to affirmatively provide equal opportunity to all qualified applicants for employment and existing employees without regard to their race, religion, color, national origin, sex, age, ancestry, protected veteran status, disability, sexual orientation, gender orientation or any other basis that would be in violation of any applicable law or regulation. 
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