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Job Category:

Employment Type:

Job Profile:

Job Summary:

The Scientist III will play a leadership role in the UW Statistical Data Analysis Center (SDAC) by leading study teams providing independent statistical data analysis to Independent Data Monitoring Committees serving to monitor the safety of industry sponsored clinical trials. The SDAC Scientist III leads by preparing data sets, analyzing them using data science techniques, and presenting the results. They will directly supervise study staff.

• This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.
•  Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration
  • Experience in biostatistics, clinical trial design and implementation, data safety monitoring, industry clinical trials

Key Job Responsibilities:

• Serves as an institutional subject matter expert and liaison with key internal and external stakeholders providing expert level information and representing the interests of a specialized research area

• Identifies research problems and develops highly complex research methodologies and procedures. Publishes and presents results to help advance research

• May supervise the day-to-day activities of a research unit and staff and resolve routine personnel issues

• Identifies, writes, or assists in developing grant opportunities, grant applications, and proposals to secure research funding

• Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information

• Conducts literature reviews, prepares reports and materials and, disseminates information to appropriate entities

• Monitors program budget and approves unit expenditures

• Collects and analyzes highly complex research data, conducts experiments and interviews, and documents results according to established policies and procedures

Department:

School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Clinical Trials Program - Statistical Data Analysis Center

The Department of Biostatistics and Medical Informatics (BMI) is a highly collaborative basic science department in the UW-Madison School of Medicine and Public Health (SMPH). UW News and World Report recently ranked BMI as the 11th best program in the country, tied with the University of Minnesota-Minneapolis. BMI serves as the SMPH home for data science, including research at the basic, translational, and clinical levels; graduate, professional, and health professions education; and service to the broader community with a goal of building foundational knowledge, and  improving clinical care and human health.

Department faculty and research staff collaborate broadly, both in SMPH and across the UW-Madison campus. The research staff provide significant support to investigators in preparing proposals, designing statistical approaches and clinical trials, analyzing data, and helping investigators prepare and submit reports and manuscripts for publications. 

The department is home to two clinical trial programs, the Statistical Data Analysis Center (SDAC) and the Data Coordinating Center (DCC). SDAC conducts arms-length analysis of industry clinical trial data in support of Data Safety Monitoring Boards (DSMBs) and is considered the gold standard for such work.

Compensation:

The starting salary for the position is $90,000 annually; but is negotiable based on experience and qualifications. 

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage.

• SMPH Faculty /Academic Staff Benefits Flyer 2026
  
  

Required Qualifications:

• Experience with analysis of clinical trial data
• Experience with design of clinical trials
• Excellent written and oral communication
  

Preferred Qualifications:

• Experience with SAS and R in a Linux or UNIX environment
  
  

Education:

PhD in biostatistics, or closely related quantitative discipline, is required

How to Apply:

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To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.

• Cover letter required
• Resume required
  

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above, especially experience related to clinical trials, data safety monitoring boards, and clinical biostatistics. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work. 

Contact Information:

Lily Schafer, [email protected], 608-263-5443

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. 

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal Opportunity Employer. 

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. 
 
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). 
 
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