Computational Associate III - Psychiatric Biomarkers Network (PBN)
About The Position
The Psychiatric Biomarkers Network (PBN) (https://psychiatricbiomarkers.org/) is a consortium of academic and industry partners seeking to discover fluid molecular biomarkers for schizophrenia and bipolar disorder, to enable more efficient and effective drug development for these pharmacologically underserved mental illnesses. The consortium is recruiting and longitudinally following patients and unaffected control subjects, collecting blood and cerebrospinal fluid samples, and phenotyping participants with a battery of clinical and cognitive measures. Our goal is to enable the stratification of this mechanistically and clinically heterogeneous patient population into subgroups based on their underlying biology in order to better match patients with the right treatments, both in clinical trials and ultimately in clinical practice. The PBN is led by the Stanley Center for Psychiatric Research at Broad. We are seeking a motivated and enthusiastic biostatistician or computational biologist to apply sophisticated statistical methods and models to the growing body of PBN data and to other relevant datasets from biobanks and consortia partners, to drive hypothesis generation and novel insights. Based on proteomics, targeted molecular assay data, and extensive clinical and cognitive phenotype data, we seek to identify proteins that define subgroups of patients, correlate with symptoms or cognition, and track or predict disease progression over time.
Requirements
- BS degree in Computational Biology, Computer Science, or a related quantitative field with 3+ years of relevant work experience or a MS degree with 1+ years of relevant work experience.
- Candidates for this position should have training or experience in advanced biostatistics or computational biology.
- Demonstrated attention to detail and analytical skills.
- Excellent communication and interpersonal skills.
- Excellent written and oral presentation skills.
- Strong initiative and ability to take ownership of assigned tasks and projects.
- Must be flexible and able to respond to shifting priorities in a dynamic setting.
Nice To Haves
- Past experience with proteomics data (e.g. Somascan, Oink, or mass spec), human clinical or cognitive data, and/or longitudinal human study designs will be advantageous.
- Familiarity with or coursework in neurobiology, psychiatry, or biomarkers is a plus, but not required.
- Candidates should be self-motivated team players with strong communication skills.
Benefits
- medical, dental, vision, life, and disability insurance
- a 401(k) retirement plan
- flexible spending and health savings accounts
- at least 13 paid holidays
- winter closure
- paid time off
- parental and family care leave
- an employee assistance program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
