Postdoctoral Fellow - Neuropsychiatric disorders

Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for a Postdoctoral Fellow to help advance precision medicine strategies for Neuropsychiatric disorders. The location for this position is Spring House, PA, but remote work within the United States may be considered for highly qualified candidates with up to 10% travel.

At Janssen, we are working to build a world without disease—transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at www.janssen.com and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.

The Data Science Analytics & Insights team within Janssen R&D develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of cognitive neuroscience, multi-omics data integration, machine learning, and neuropsychiatric disease to identify biomarkers for patient subtypes.

Key responsibilities:

• Contribute to large-scale analyses and integration of neuroimaging (rs-fMRI, structural MRI, and DTI), genomic, proteomic, and cognitive data to identify biological signatures linked to patient subtypes across the spectrum of neuropsychiatric disease. The primary goals are to 1) perform data harmonization, 2) identify disease signatures and biomarkers for patient stratification and 3) identify novel targets for pharmacologic development.
• Work closely with a cross disciplinary team of statistical geneticists, bioinformaticians, ML/AI data scientists, and neuroscientists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications.
• Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-review publications and/or scientific conferences

Training opportunities:

• Gain experience working in the pharmaceutical industry.
• Navigate and work within a matrix environment.
• Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications.