Demo

Medical Data Scientist I

The University of Pittsburgh
Pittsburgh, PA Full Time
POSTED ON 4/25/2025
AVAILABLE BEFORE 6/17/2025

Medical Data Scientist I

Med-Pediatrics - Pennsylvania-Pittsburgh - (25001953)


This position is for the Division of Health Informatics within the Department of Pediatrics. Equivalent relevant work experience may be substituted for degree requirement. This position is located at UPMC Children’s Hospital of Pittsburgh in Lawrenceville. PA Child Abuse History Clearance, PA State Police Criminal Record Check, and FBI Criminal Record Check will be required prior to the start of employment. Also, a current TB test will be required as a condition of employment. EEO/AA/M/F/Vets/Disabled.

Job Summary

Applies scientific methodology to conceptualize, propose, and implement appropriate methodologies for statistical analyses. Maintains and updates centralized research awards database. Assists with grant preparations and clinical trial budgets. Develops and validates reporting data, validates data subsets of funding data, and facilitates quality control procedures to ensure data accuracy.

Essential Functions

The Bioinformatics Core Facility at the Children’s Hospital of Pittsburgh (CHP) is looking for a full-time Medical Data Scientist I with a strong background in next-generation sequencing data analysis. Ideally, the candidate will provide support in designing, developing, and deploying robust bioinformatics workflows to support the analysis of high-throughput sequencing data generated from bench and clinical research problems. Familiarity with single-cell or spatial transcriptomics is a plus. Activities occur with a moderate degree of supervision with some latitude for independent judgment, and the candidate should demonstrate the ability to work effectively in a team environment. Master's in bioinformatics, computational biology, biomedical engineering, or computer science is desirable. Previous knowledge in the use of high-performance computing cluster (Linux environment), and programming in R and Python, is required. Flexible daylight hours may be necessary.

Physical Effort

Desk job - requires long hours of sitting.


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.Medical 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
This position may require flexibility with shift/hours depending on grant submission deadlines, etc.
Work Arrangement
Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range
TBD Based Upon 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
The following PA Act 153 clearances and background checks are required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance.
Required Documents
Resume
Optional Documents
Cover Letter

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