We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Rsch Pro 5-Biostatistics

University of Minnesota
life insurance, paid holidays
United States, Minnesota, Minneapolis
Jun 17, 2025
Apply for Job
Job ID
368814
Location
Twin Cities
Job Family
Research
Full/Part Time
Full-Time
Regular/Temporary
Regular
Job Code
9791BO
Employee Class
Acad Prof and Admin
Add to Favorite Jobs
Email this Job
About the Job

Incumbent will be designated as an Essential Employee. Essential Employees are defined as employees who are expected to report to campus during a University State of Emergency (reduced operations or campus closure) unless specifically directed by the Department not to report of if directed by civil emergency or medical authorities not to report for health and safety reasons. Essential Employees must report to campus even if the closure is less than three days.

Position Summary
The Biostatistician (Research Pro 5) role has been created to support the research activities of Assistant Professor Cindy Im, PhD, MPH. This position will interface as part of a collaborative and growing research team in childhood cancer survivorship research within the Division of Epidemiology and Clinical Research in the Department of Pediatrics. The primary purpose of this role is to serve as the resident expert in several complex data resources, in addition to supporting complex statistical analyses and research collaborations across divisions, departments, and institutions in cancer survivorship and outcomes research. Current work is focused on subsequent malignancies and other late complications of childhood cancer treatment. This position is a 1.0 FTE. Depending on the level of experience of the candidate, this role could potentially have a hybrid presence (both on-site and remote) with significant flexibility.

Responsibilities
(75%) Data Analysis and Analysis Design
Provide high-level research support by providing statistical analysis plans, independently
executing these plans, and supporting interpretation of analytic results for projects led by
University of Minnesota researchers and faculty
Conduct analyses to support research grant submissions
Design and compile statistical analysis protocols/standards
Review analytic code and results for potential issues (e.g., errors), propose and communicate
alternative approaches/solutions, and implement plans to resolve
Summarize and communicate results of analyses effectively, including providing publication-
ready tables/figures
Innovate and apply novel, cutting-edge biostatistical methodologies, including devising and
implementing simulation studies, as needed

(25%) Research Team Collaboration and Project Management
As appropriate, advise and support other principal investigators and trainees (e.g., post-doctoral
fellows, graduate students) in conducting and interpreting/reporting statistical analyses
Effectively collaborate with principal investigators to support the preparation of the following in
timely manner:
o Descriptions of methods and table/figure displays for peer-reviewed research manuscripts
o Release of new datasets (including data dictionaries) for public download
o Presentations of interim/final results at seminars, scientific conferences, and/or related
professional settings
o Major research grants, including providing results describing preliminary data and
supporting power calculations

Qualifications

Required Qualifications
Advanced degree (Masters or PhD) in Biostatistics, Statistics, or related health disciplines with 1 or more years of research training.
Excellent command of statistical programming languages commonly used in epidemiological
analyses; in particular, proficiency in R or SAS is required: if the candidate is proficient in only
one of these languages, the candidate will be expected to learn how to use both languages with
equal proficiency
Strong verbal and written communication skills, including the ability to document methods and
results clearly for manuscripts
Experience working under short timelines; proven ability to adhere to strict project schedules
Proven experience with working independently and collaborating as part of a multi-disciplinary
team consisting of clinician-scientists, basic scientists, epidemiologists, and statisticians
Excellent interpersonal, organizational and time management skills

Preferred Qualifications
Experience working with computationally intensive problems
Familiarity with High Performance Computing (HPC) clusters, job scheduling software, and a UNIX/Linux environment

Pay and Benefits

Pay Range: $70,000-$90,000; depending on education/qualifications/experience

Time Appointment Category: 75%-100% Appointment (If job description above does not specify appointment or expected weekly hours, assume a 100% appointment.)

Position Type: Faculty and P&A Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • 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
How To Apply

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in 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: http://diversity.umn.edu

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.

About the U of M

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).

Applied = 0

(web-7b8899978f-8wn8h)