Data Scientist - Wagner lab

Data Scientist

• Wagner lab at University of Pittsburgh Data Scientist
• Wagner lab at University of Pittsburgh in Pittsburgh, Pennsylvania Posted in 2 days ago.

Type:

Full-Time Job Description:

Data Scientist

• Wagner lab Med-Physical Medicine & Rehabilitation
• Pennsylvania-Pittsburgh
• (26003153) 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. 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. This position requires minimal supervision and work is expected to be done autonomously. Individual will be expected to exerciese discretional and independed judgement in significant matters Routine probloem 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.

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: 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 in biostatistics, computer sciences or other relevant field required.

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:

$48,743

• $64,900 annual 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 Equal employment opportunity, including veterans and individuals with disabilities. PI284759549