Clinical and Data Scientist

Universities of Wisconsin•Madison, WI

1d•Hybrid

About The Position

The UW Center for Tobacco Research and Intervention (UW-CTRI) is seeking a Scientist with expertise in data science and addiction science to join the UW-CTRI Research Program. The Scientist will work with Jesse Kaye, PhD, and other UW-CTRI investigators to support programs of research using diverse methodologies to advance tobacco use treatment development, evaluation, dissemination, and implementation. The Scientist will primarily support a program of tobacco treatment research to use machine learning models to develop personalized prospective risk predictions and interventions to reduce smoking lapse and relapse likelihood by providing the right treatment, for the right person, at the right time. This position will serve as a data science subject matter expert to enhance UW-CTRI’s capacity to use sophisticated interpretable machine learning models and other advanced analytic techniques to understand tobacco dependence and treatment development. The Scientist may contribute clinical research projects to across the translational spectrum of addiction and behavioral science (e.g., clinical trials, pharmacotherapy, digital therapeutics, precision medicine, dissemination and implementation science). The Scientist will contribute to the development of new team science projects (e.g., grant/funding applications) and have the opportunity to pursue independent funding opportunities to develop their independent program of research.

Requirements

5 years of experience in tobacco and/or other addiction research
5 years of experience working in clinical trials research setting
Experience using R and the tidyverse/tidymodels ecosystem for data analysis and machine learning
Demonstrated track record of successful research program (e.g., first-authored publications, research grants) appropriate to career stage
PhD required, with focus in clinical psychology, data science, or related field preferred
Must pass an initial caregiver check to be eligible for employment under the Wisconsin Caregiver Law and then every two years.
Must provide proof of work authorization and eligibility to work.

Nice To Haves

Experience with the design, implementation, analysis, and dissemination of clinical trials research
Knowledge and experience in precision or personalized medicine
Experience with data collection software such as REDCap
Experience with qualitative research methods
Experience with remote or decentralized clinical research methods
Completion of a certified Tobacco Treatment Specialist training program
Experience providing counseling and/or clinical supervision for treatment of tobacco, substance use disorders, and other behavioral health conditions

Responsibilities

Identifies research problems, designs research methodologies, performs research, prepares data sets and analyses them using data science techniques, presents results for presentation to professional organizations or for scholarly publications to help advance research.
Collects and analyzes complex research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision.
Serves as a unit subject matter expert and liaison to internal and external stakeholders providing advanced level information and representing the interests of a specialized research area.
Identifies research problems and develops complex research methodologies and procedures.
May supervise the day-to-day activities of a research unit as needed.
Writes or assists in developing 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.
Independently identifies and implements appropriate data science techniques to answer research questions including data set preparation, data visualization, statistical analysis, machine learning, reproducible workflows.
Publishes and presents results to help advance research.
Monitors program budget and approves unit expenditures.