Data Scientist I - Wagner Lab

Overview

On Site
Full Time

Skills

Data Integrity
Facilitation
Data Management
SAS
SPSS
SQL
Python
Presentations
Training
Management
Supervision
Data Visualization
Data Entry
Clinical Research
Database
Project Management

Job Details

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.