Postdoctoral position in Machine Learning of Stress and Neuropsychiatric Disease

Tuesday 14th July 2020

Closing: September 30, 2020

Postdoctoral position in Machine Learning of Stress and Neuropsychiatric Disease
Center of Excellence in Depression and Anxiety Disorders
McLean Hospital/Harvard Medical School, Belmont, MA

Dr. Daskalakis’ Neurogenomics and Translational Bioinformatics Laboratory (NG-TBL) at McLean’s Center of Excellence in Depression and Anxiety Disorders conducts research focused on the genomic connection 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 machine learning approaches to understand the multi-omic contributions to susceptibility and resilience to stress and psychiatric disease. 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: 

  • Experience applying machine learning to large datasets 
  • A strong background in data science programming languages such as Python and R; programming experience in C++ or MATLAB is a plus
  • Experience with heterogeneous high-dimensional biological data such as genomic and/or neuroimaging data
  • Experience with high performance computing; experience with cloud computing is a plus
  • Demonstration of reproducible research tools (e.g., github); prior development of software is preferred; 
  • 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.

Organization McLean Hospital/ Harvard Medical School
Location Belmont
Title Assistant Professor
URL https://www.mcleanhospital.org/profile/nikolaos-daskalakis
Email Address ndaskalakis@mclean.harvard.edu