Candidate's with a Master's Degree in health policy, economics, maternal and child health, epidemiology, or related field can have a minimum of 6 years' experience. Equivalent education/experience may be substituted for degree requirement. Candidate's with a Bachelor's Degree in health policy, economics, maternal and child health, epidemiology, or related field must also have at least 10 years of related work experience.
Oversees large, complex data sets and utilizes advanced programming methods and statistical software for raw data extraction and aggregation, statistical analysis, and document programming to create analytic data files. Creates statistical reports; assists with manuscripts, grants, and regulatory submissions. Maintains data infrastructure and tracks data assets. Adheres to all protocols.
The position will work with a multi-disciplinary team of investigators, research assistants, and data analysts on research projects related to pregnancy health outcomes, with a particular focus on Medicaid populations. The data scientist will be responsible for coordinating data acquisition and analyses. Additionally, the data scientist will contribute to dissemination of research findings by participating in drafting publications and presentation materials. The candidate must possess experience with SAS, STATA or R programming and have a working knowledge of simple, descriptive statistical procedures. The candidate must also possess excellent scientific writing skills.
Position is mostly sedentary.
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
Job Details
- Assignment Category: Full-time regular
- Job Classification: Staff.Data Scientist III
- Job Family: Research
- Job Sub-Family: Data Science
- Campus: Pittsburgh
- Minimum Education Level Required: Master's Degree
- Minimum Years of Experience Required: 6
- 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, 8:30AM - 5:00PM
- 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: Not Applicable
- Required Documents: Resume
- Optional Documents: Cover Letter