Data Scientist I

Data Scientist I

The University of Pittsburgh Drug Discovery Institute (UPDDI) is part of a multi-scale multidisciplinary effort to identify biomarkers related to traumatic brain injury (TBI) and to develop a drug discovery pipeline for treating TBI-related neurodegeneration.

UPDDI invites applications for a full-time postdoctoral position in Computational Systems Biology. The incumbent will be responsible for developing a quantitative systems pharmacology (QSP) pipeline for using transcriptomic data to predict drugs that reduce TBI-associated neurodegeneration, and for implementing biological models to test the predictions.

The primary duties are analysis of RNA sequencing data from in vitro and in vivo TBI models (including single cell RNA-seq), inferring signaling pathways and specific targets related to TBI progression and recovery, and network- or structure-based computational prediction of drugs that modulate the course of TBI by targeting these pathways;

and development and implementation of human multi-cell type 3D models to test the predicted drugs. Additional duties include participation in the training / mentoring of graduate students, writing papers, and making presentations in scientific meetings relevant to your research activities.

Job Summary

Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting.

Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools.

Utilizes statistical software and adheres to all protocols.

Essential Functions

The University of Pittsburgh Drug Discovery Institute (UPDDI) is part of a multi-scale multidisciplinary effort to identify biomarkers related to traumatic brain injury (TBI) and to develop a drug discovery pipeline for treating TBI-related neurodegeneration.

UPDDI invites applications for a full-time postdoctoral position in Computational Systems Biology. The incumbent will be responsible for developing a quantitative systems pharmacology (QSP) pipeline for using transcriptomic data to predict drugs that reduce TBI-associated neurodegeneration, and for implementing biological models to test the predictions.

The primary duties are analysis of RNA sequencing data from in vitro and in vivo TBI models (including single cell RNA-seq), inferring signaling pathways and specific targets related to TBI progression and recovery, and network- or structure-based computational prediction of drugs that modulate the course of TBI by targeting these pathways;

and development and implementation of human multi-cell type 3D models to test the predicted drugs. Additional duties include participation in the training / mentoring of graduate students, writing papers, and making presentations in scientific meetings relevant to your research activities.

Physical Effort

Little physical effort required. Duties are primarily sedentary. Must be able to travel between buildings on campus.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community.

This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces.

We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action / Equal Opportunity Employer and values equality of opportunity, human dignity and diversity.

EOE, including disability / vets.

Assignment Category : Full-time regular

Job Classification : Staff.Data Scientist I

Job Family : Research

Job Sub Family : Data Science

Campus : Pittsburgh

Minimum Education Level Required : Master's Degree

Minimum Years of Experience Required : No experience required

Will this position accept substitution in lieu of education or experience : Combination of education and relevant experience will be considered in lieu of education and / or experience requirement.

Work Schedule : Monday - Friday, 8 : 30 a.m. - 5 : 00 p.m

Work Arrangement : Monday - Friday, 8 : 30 a.m. - 5 : 00 p.m

Hiring Range : To be determined based on qualifications

Relocation Offered : No

Visa Sponsorship Provided : No

Background Check : For position finalists, employment with the University will require successful completion of a background check

Child Protection Clearances : Not Applicable

Required Documents : Resume

Optional Documents : Cover Letter

Please see job description

PI249446956