The Clinical & Translational Sciences Institute (CTSI) at MSU is seeking a Research Associate to join their team. This position is placed within the Biomedical Research Informatics Core (BRIC), a division of CTSI. This BRIC position will consult on aspects of research design and study logistics, and serve as an investigator on BRIC grants and on the grants of faculty in other MSU departments. The Research Associate will utilize their research experience to develop project-specific data standards, advise on best practices for quality data collection, and provide leadership in developing data quality and data management processes.

The majority of this position will involve working as part of the team managing the established Data Coordinating Center for an ongoing multi-site study of the epidemiology of Autism Spectrum Disorders funded by the Centers for Disease Control and Prevention (CDC). This grant has been at MSU since 2005. As part of this team, the Research Associate provide leadership in the completion of study documentation; design and perform checks for data accuracy; conduct high level data management tasks, develop harmonization approaches for two waves of data collection already completed, interact with study sites across the country providing support to the research network investigators and review data and reports. This position will require communication with the research network and direct interaction with the CDC through regular conference calls. It is expected that this position will participate in paper writing teams, propose analyses and papers to work with CDC data, and to develop new grant applications with the role of an investigator. Strong interpersonal and collaborative skills are needed.

Other responsibilities include participating in other ongoing or new projects conducted at MSU. BRIC team members often advise MSU-Investigators on best practices for data collection, consult on the design of electronic data capture forms, conduct surveillance of data quality and data collection, develop custom reports and conduct hands-on data management duties. Additional responsibilities include leading project staff in establishing data standards , formulating data collection policies and procedures, and training database users.

This is an off date position. Hiring is for 9 months from date of hire and is contingent upon renewal of grant funding and satisfactory performance.

The candidate must have a PhD degree in a social, behavioral, communication, public health, epidemiology, statistical, or other relevant discipline. A minimum of 3 years of demonstrated research experience is required which could be demonstrated through independently conducted research as part of PhD or Master’s program. Candidate should have a good understanding of data collection and practices of data management. Must have experience with research methodology, study design, working with analytic data sets, and a basic understanding of statistics. Proficiency in at least one statistical package such as SAS, Stata, SPSS, or R is needed. Must possess excellent written and verbal communication skills, have the ability to work independently, and be detail-orientated. For a more detailed position description please visit

Desired Qualifications:
Knowledge and/or experience in Autism research and structured Autism assessment processes. Experience with research project management and data collection from research subjects as well as experience with item response theory or multilevel analysis would be a plus. Willingness to travel occasionally including out-of-state or international travel.

“Michigan State University is an affirmative action, equal opportunity employer and is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities. Job applicants are considered for employment opportunities and employees are treated without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.”