Data Scientist I - Wagner Lab

Data Scientist I - Wagner Lab

The Department of Physical Medicine and Rehab is committed to equity, diversity, and inclusion. All qualified applicants are encouraged to apply and will be considered without regard to race, ethnicity, religion, sex, gender, sexual orientation, age, disability, or veteran status.

The University offers comprehensive benefits to eligible employees. Aside from our great health plans, we have a generous match to our 403B retirement savings plan, vacation, sick and personal days.

We have Paid Winter Recess (Christmas to New Year's Day). Finally, we offer generous educational benefits for eligible employees, their dependents and spouse / domestic partner.

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

• Applies scientific methodology to conceptualize, propose, and implement appropriate methodologies for statistical analyses.
• Collects, organizes, maintains, reviews, and integrates data and data sets to support analysis and study design. Creates, updates, and facilitates quality control procedures to ensure data accuracy and integrity.
• Manipulates and derives datasets and cleans data. Creates routine reports, charts, exhibits, and other relevant data summarizations and analysis reporting tools.
• Utilizes statistical software to conduct descriptive, exploratory, and quantitative statistical analysis, including development of sample size calculations and power analyses for proposed studies.
• Support scientific analysis of the data, interpretation and reporting. Revises analysis and results sections of reports, grants, and manuscripts as requested by investigators.
• Adheres to research protocols; ensures compliance with all regulations.

This position requires minimal supervision and work is expected to be done autonomously. Individual will be expected to exercise discretion and independent judgement in significant matters.

Routine problem solving is required, generally guided by policies, procedures and business plans. Decisions outside of standard policies are referred to a higher-level manager.

Hybrid work options will be available after successful completion of the new hire provisional period.

Physical Effort

Mostly sedentary.

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 : No

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 : $48,750.00 to $64,900.00

Relocation Offered : No

Visa Sponsorship Provided : Yes

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 : Not Applicable

Please see job description

PI250747290