Job Description

Location Twin Cities About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking a Biostatistician (9791BO Research Professional 5-Biostatistics) to join the Minnesota Complex Innovative Design Research Lab (M-CIDeR; led by Drs. Joseph Koopmeiners, Thomas Murray, Lianne Siegel and David Vock. M-CIDeR is a collaboration of BHDS faculty with the goal of elevating clinical and behavioral research at the University of Minnesota through the development and implementation of complex, innovative study designs. M-CIDeR personnel have expertise related to adaptive designs, studies of adaptive interventions, pragmatic trials, and other innovative designs. Current projects involve clinical trials in critical care, clinical decision support/implementation science, and language development. BHDS provides a positive and supportive working environment, including flexible working arrangements and professional development opportunities. Salary and Work Arrangements Starting Salary Range: $85,000 - $120,000 annually, dependent upon the selected candidate's relevant qualifications, experience, and internal equity. The University of Minnesota endorses a "Work. With Flexibility." and offers a flexible work environment that meets the needs of students, faculty, staff, and partners. The position will work at the University Office Plaza and hybrid work options are currently available with a minimum of 2 days in office during regular business hours. Responsibilities Clinical trial design and planning (30%): Support implementing simulation studies to evaluate trial operating characteristics for different designs; protocol development; writing statistical analysis plans for both grant applications and federally‑funded projects. Data management (30%): cleaning and manipulating data using REDCap and R; preparation of study datasets consistent with the trials resource‑sharing plan; development of randomization schedules and online randomization applications. Data analysis (40%): preparing reports for investigators and the Data and Safety Monitoring Board on participant recruitment, follow‑up, adverse events, estimated treatment/intervention effects, etc.; interpreting results for peer‑reviewed manuscripts, presentations, and other forms of dissemination. Qualifications MS in biostatistics, statistics, or a related field with one or more years of research training. Demonstrated competence using R for data analysis and simulation. Effective written and verbal communication skills. Experience working independently. Commitment to fostering an inclusive, respectful workplace. Pay and Benefits Competitive wages, paid holidays, and generous time off. Continuous learning opportunities through professional training and degree‑seeking programs supported by the Regents Tuition Benefit Program. Low‑cost medical, dental, and pharmacy plans. Healthcare and dependent care flexible spending accounts. University HSA contributions. Disability and employer‑paid life insurance. Employee wellbeing program. Excellent retirement plans with employer contribution. Public Service Loan Forgiveness (PSLF) opportunity. Financial counseling services. Employee Assistance Program with eight sessions of counseling at no cost. Employee Transit Pass with free or reduced rates in the Twin Cities metro area. Diversity and Inclusion The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. #J-18808-Ljbffr

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