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Statistical Research Scientist II - Pediatric Mental & Behavioral Health Research (Hybrid)

Medical College of Wisconsin
parental leave, paid holidays, tuition reimbursement, 403(b)
United States, Wisconsin, Milwaukee
Nov 18, 2024



Position Description:

We're looking for those individuals-the creative thinkers and innovation seekers-who are content with nothing short of changing the world. Discover the endless opportunities within the Medical College of Wisconsin (MCW) and be inspired by the work we can do together to improve health, and make a positive, daily impact in our communities. In the role of a Statistical Research Sceientist II you will be working in Pediatrics Psychology and Developmental Medicine.

Purpose

This is a senior-level, non-faculty researcher position that will contribute to fundamental advances in the analysis of large-scale, complex mental and behavioral health datasets with a focus on the use of artificial intelligence strategies to support predictive analytics and data generation. The Statistical Research Scientist will be involved in every aspect of the research enterprise, including study design and consultation with 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. The Statistical Research Scientist will support the Children's Wisconsin Mental and Behavioral Health Research Program and be part of a growing data science and analytics team supporting its efforts.

Primary Functions

  • Serve as a statistician on large-scale mental and behavioral health studies with responsibilities ranging from designing studies, 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. 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 to support early identification of pediatric mental and bahavioral health challenges and inform appropriate referral pathways for treatment.
  • When required, help supervise and train staff, including statisticians, programmers and graduate students/trainees.
  • Regularly review the latest research methodologies in predictive analytics and develop plans for implementation.
  • Implement reproducible research standards, including sharing code and using version control software.

* Participate in regular meetings with the principle investigator, research staff, and collaborators.

Knowledge - Skills - Abilities

Knowledge of mental and behavioral health and/or health related research, statistics, and high performance computing. Ability and desire to work both independently and in a collaborative environment. Excellent interpersonal, oral, and written communication skills. Strong project management skills, including the ability to manage multiple projects simultaneously.

#LI-AV1



Preferred Schedule:




Full-time role with expectations for coverage during core business hours or as needed to accommodate business needs.



Position Requirements:

Appropriate experience may be substituted for education on an equivalent basis

Minimum Required Education: PhD in Statistics or a closely related field.

Minimum Required Experience: 3 years

Preferred Experience: Advanced statistical programming skills (e.g., Python, R)

Familiarity with a basic programming language (e.g., C, Java)

Experience with a High Performance Computing cluster

Experience implementing reproducible research, including sharing code and using version control software

Basic knowledge of health systems research

Basic knowledge of mental and behavioral health

Field: Statistics

Why MCW?

  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes.
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a full list of positions see: www.mcw.edu/careers

For a brief overview of our benefits see: https://www.mcw.edu/departments/human-resources/benefits

Eastern Wisconsin is a vibrant, diverse metropolitan area. MCW is intent on attracting, developing, and retaining a diverse workforce and faculty body that reflects the community we serve. We value diversity of backgrounds, experience, thought, and perspectives to advance excellence in science and medicine. MCW is a welcoming campus community with a strong culture of collaboration, partnership, and engagement with our surrounding community. For more information, please visit our institutional website at https://www.mcw.edu/departments/office-of-diversity-and-inclusion.


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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