Data Scientist I Position Available In Allegheny, Pennsylvania
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Job Description
Pittsburgh, PA
2 DAYS AGO
21527427
Summary
Pittsburgh, PA
Competitive Salary
2 Years Experience
Master’s degree
No Commisssion
40.00 hours per week / Day Shift /Full-Time
Description Data Scientist I•Wagner Lab 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:
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.
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:
$48,743•$64,989. Relocation_
Offered:
No Visa Sponsorship Provided:
No ground
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 PI273365806
