Data Scientist I - Wagner Lab

  • University of Pittsburgh
  • Pittsburgh, Pennsylvania
  • Full Time
Data Scientist I Wagner Lab (25001770)

Data Scientist I Wagner Lab

MedPhysical Medicine & Rehabilitation PennsylvaniaPittsburgh (25001770)

The Data Scientist's primary responsibilities will include curating data, assessing data integrity, facilitating the use of effective data management tools, and analyzing clinical research data following traumatic brain injury and other acquired neurological injuries. The incumbent should have proficient knowledge in at least one statistical software package (e.g. SAS) and some working knowledge of other packages (e.g. SPSS, R). The incumbent should have some working knowledge of SQL database structure and strong working knowledge of versatile programming tools such as Python. Experience with electronic data capture program, REDCap, is preferred. Advanced knowledge of clinical research methods and quantitative statistical skills. The incumbent will interface with relevant stakeholders, providing input and directly supporting database upgrades, modifications, and expansions. Will be involved in preparing results for presentation in the form of scientific posters, oral presentation, written manuscripts, and/or grant preparation. The incumbent will also have opportunities to take a lead role with some projects in their portfolio with regard to lead authorship on projects that require participation and write up of data synthesis, interpretation, and discussion elements of specific manuscripts. Other responsibilities include training and supervising staff/students with respect to data visualization, data entry and reconciliation, maintaining clinical research databases, as well as support database, infrastructure, and other project management needs.

Candidates with a relevant Master's degree and a minimum of three years of professional experience beyond academic training are preferred.

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 essential functions include data preparation, manipulation, and analysis.

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 Fulltime regular

Job Classification Staff.Data Scientist I

Job Family Research

Job SubFamily 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.

Additional details about Required Licensure/Certification Master's degree with three to five years of experience required. No additional years of experience is required if individual has obtained applicable advanced educational training. Extensive relevant experience (810+ years with programming and statistical analysis knowledge) may be substituted for the advanced education requirement of Master's; specific fields of study applicable to this position are statistics, bioinformatics/data science, and applied mathematics.

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

Work Arrangement Hybrid: Combination of OnCampus and Remote work as determined by the department.

Hiring Range $48,743 $64,989.

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, Cover Letter

Optional Documents Not Applicable
Job ID: 481375416
Originally Posted on: 6/15/2025

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