Medical Data Scientist II

Medical Data Scientist II

Med-Medicine - Pennsylvania-Pittsburgh - (26003072)

The Division of General Internal Medicine is seeking a Data Analyst to participate in research projects that aim to explore strategies to optimize prescribing and medication decisions for patients in the hospital and at home. The Data Analyst will work primarily with Dr. Timothy Anderson and be a core staff member of the Prescribing Wisely Lab, with additional membership in the Caring for Complex Chronic Conditions Research Center, and Center for Pharmaceutical Policy and Prescribing (CP3). The Data Analyst will be responsible for developing analytic datasets from administrative healthcare databases, such as UPMC electronic health records, the Veterans Health Affairs Clinical Data Warehouse, Medicare and Medicaid claims, and existing NIH funded prospective cohort datasets. This includes translating written research protocols to computer programming code, implementing the code, and conducting data quality assurance checks to verify the research protocols were applied.

• Translate written research protocols to computer programming code
• Implement the code to develop analytic datasets from raw data from administrative healthcare databases
• Conduct data quality assurance checks to verify the research protocols were applied correctly.
• Code translation and implementation are expected to be carried out with minimal supervision from the PI.
• Efficient computer programming practices are required to minimize computational resource utilization.
• Excellent documentation is required to facilitate reproducible research.
• Must be capable of multi-tasking between several research projects.
• Must be able to work within deadlines.
• Excellent business communication skills and organization are required.
• Write analytic components of methods and results sections.
• Design summary tables, graphs, and graphical abstracts.
• Develop clinical databases in preparation for data collection projects.
• Write clearly and concisely
• Create tables and illustrations in a manner that allows for quick modifications
• Knowledge of or ability to learn REDCap is imperative for clinical database preparation.
• Fluency with Stata, SAS, R, or SQL is preferred.

Job Summary

Organizes and facilitates data collection and conducts statistical analysis of datasets while working across multiple, simultaneous projects. Applies scientific methodology and statistical analyses to implement appropriate methodologies for complex data management and statistical analyses. Facilitates algorithm development, software development, and result interpretation. Assists with grant preparations and staff training. Manipulates datasets and clean data and facilitates quality control procedures to ensure data accuracy.

Essential Functions

Requires the ability to visualize a computer screen, to work with computer hardware and software, to communicate verbally and in writing, and to use a phone. The candidate must have strong working knowledge of English.

Physical Effort

Position is mostly sedentary work.

The University of Pittsburgh is an equal opportunity employer / disability / veteran.

Assignment Category

Full-time regular

Job Classification

Staff.Medical Data Scientist II

Job Family

Research

Job Sub-Family

Data Science

Campus

Pittsburgh

Minimum Education Level Required

Master's Degree

Minimum Years of Experience Required

3

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

Hybrid: Combination of On-Campus and Remote work as determined by the department.

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