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Statistical Research Scientist II - Epidemiology & Public Health

Medical College of Wisconsin
parental leave, paid holidays, tuition reimbursement, 403(b)
United States, Wisconsin, Milwaukee
Mar 06, 2025



Position Description:

This is a senior-level, non-faculty researcher position that will contribute to the vision and mission of the Division of Data Analytics and Informatics in the Comprehensive Injury Center (CIC). Under the Injury Control Research Center (ICRC) designation from the Centers for Disease Control and Prevention, the CIC is conducting four large research projects and administering annual grants to fund pilot projects related to health disparities in injury research. The four research projects span several areas related to injury and violence prevention and intervention including suicide prevention, traumatic brain injury, the role of alcohol in firearm-related deaths, and overdose prevention.The annual pilot granting will offer funds to MCW PI's researching injury-related topics across the translational spectrum of research with particular focuses on injury disparities.The Statistical Research Scientist will be involved in every aspect of the CIC's ICRC research agenda for the four main research projects, the pilot funding program, and related research in the CIC. The Statistical Research Scientist will be involved in study design and consultation with principal investigators,analysis and evaluation staff, basic scientists, and clinicians, data management, analysis, and preparation of progress report and manuscripts. This is a highly collaborative role and the Research Scientist will be expected to contribute to multiple projects simultaneously.

Primary Functions

  • Support the statistical analysis needs for CIC injury prevention research and evaluation efforts in Milwaukee County and across Wisconsin.
  • Serve as a statistician on translational injury research studies with responsibilities ranging from collaborating on, reviewing, or directly leading studydesign, to developing analysis plans, and conducting sophisticated and cutting-edge data analyses.
  • Contribute to science through both independent and collaborative research, including co-authoring papers and contributing to grant development and submission.
  • Assist in outcome interpretation and composition of the results sections of manuscripts and reports.
  • Communicate results to collaborators and larger scientific audiences at research conferences.
  • Plan and perform statistical analyses using advanced techniques; determine and review statistical findings with investigators and recommend design modifications.
  • Lead efforts to apply novel statistical methodologies related injury epidemiology
  • Lead, supervise, and collaborate with staff, including biostatisticians and potentially graduate or medical students.
    Regularly r
    eview the latest research methodologies in statistical approachesand develop plans for implementation.
  • Regularly review the latest research methodologies in statistical approachesand develop plans for implementation. Implement reproducible research standards, including sharing code and using version control software.
  • Provide expertise in the development and maintenance of data management systems that optimize the efficiency of statistical analyses and reporting.
  • Participate in regular meetings with DDAI staff and faculty, CIC leadership, CIC Administrative Core, and other CIC collaborators.



Preferred Schedule:




M-F, general business hours



Position Requirements:

Position Requirements:

Education:

  • PhD in Statistics or a closely related field is required.

Experience:

  • A minimum of three years of experience in advanced statistical analysis, preferably in public health or related fields.

Skills:

  • Expertise in statistical software and high-performance computing.
  • Strong project management and interpersonal communication skills.
  • A collaborative mindset with the ability to work independently.

What to Expect:

This is an exceptional opportunity for someone who loves diving deep into data while contributing to community health initiatives. Here's what makes this role exciting:

  • Impactful Research: Work on projects that directly address public health challenges, with opportunities to influence policy and practices.
  • Collaboration with Experts: Join a multidisciplinary team of researchers, scientists, and public health advocates.
  • Growth and Leadership: Take on mentorship roles and gain recognition for your contributions through publications and conferences.
  • Dynamic Work Environment: Experience a mix of analytical challenges, collaboration, and community-focused initiatives.

Why MCW?

  • Outstanding Healthcare Coverage, including Health, Vision, and Dental, along with Flexible Spending options.
  • 403B Retirement Package.
  • Competitive Vacation and Paid Holidays offered.
  • Tuition Reimbursement and Paid Parental Leave.
  • Wellness Reimbursement and access to an on-campus Fitness Facility with onsite classes.
  • Additional discounts on cell phone plans, local fitness facilities, and Milwaukee recreation and entertainment.
  • For a full list of positions, visit www.mcw.edu/careers.

Ready to use your statistical expertise to drive impactful research? Join us at the Comprehensive Injury Center and help make a difference!

#LI-FL1


MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination



The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering a diverse community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.


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