A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Neuropsychology Program is seeking a half-time to full-time Data Programmer/Analyst to assist on an ongoing project involving driving in aging. This project will have multiple components (e.g., behavioral data, cognitive data, driving performance factors, eye tracking information, physiological variables) and will require robust/detailed/meticulous database management.
This position is under the leadership of the three collaborating Driving Project principal investigators. The individual will report directly to the Administrator for the Neuropsychology Program. The characteristic duties and responsibilities of this position may evolve over time to match changing needs and priorities.
Maintain databases to facilitate efficient and effective data input, retrieval, processing, analysis, and reporting.
Assist in data collection, data verification, and data processing for research studies. This includes responsibility for testing and implementation of electronic data checks, following standard practice guidelines, generating queries in REDCap or other data platforms, and verifying reports.
Work collaboratively to develop electronic entry screens, databases and supporting documentation; testing and implementation of electronic data capture to meet the needs of studies.
Devise evaluation procedures to ensure data quality and validate data collection and data distributed to researchers.
Assist with the preparation of programs requiring complex combination of data from multiple sources.
Write and document R, SAS, SPSS and/or Python scripts for data preparation, analysis, file creation, reporting, and to streamline data processing and analysis.
Prepare and maintain technical documentation of data and analysis files.
Summarize, interpret, and present results in written, tabular, and visual formats in online tracking dashboard.
Assist in the writing of manuscripts and grant proposals.
Participate in meetings and conference calls with research faculty and staff to define research questions and deliverables, present results, and determine next steps.
Participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation.
Other duties as directed.
Bachelor’s degree in computer science, information, statistics, biostatistics, or related field
Experience using R, SAS and/or Python for data management and statistical analysis
Knowledge of and experience with relational databases and writing SQL queries
Proficiency with cleaning and munging data, and data quality control procedures
Strong interest in statistical analyses
Confident and highly motivated with excellent multi-tasking ability and record-keeping skills
Eagerness to learn new tasks and skills
Outstanding organizational skills with meticulous attention to detail
Professional demeanor and excellent interpersonal and communication skills
Proven ability to work independently with minimal supervision
Ability to work with diverse teams of people in a diplomatic, collaborative and effective manner
Ability to problem-solve and establish timelines and priorities
Available to work occasional evenings and weekends as necessary
In order to be considered for this position, the applicant must have met or will have met all the required qualifications prior to the start date of employment.
Experience working in research related to driving behavior and/or general automotive field
Experience with RESTful APIs
Familiarity with command line interface and shell scripting
Experience with electronic data platforms such as REDCap
Hours are to be discussed prior to accepting the position.
This is a term limited appointment for approximately five years, unless further funding is procured. If funding isn't procured, the appointment will terminate and will not be eligible for Reduction in Force (RIF) benefits.
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan participates with the federal EVerify system. Individuals hired into positions that are funded by a federal contract with the FAR EVerify clause must have their identity and work eligibility confirmed by the EVerify system. This position is identified as a position that may include the EVerify requirement.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 190605
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.