Social Data Scientist

University of Wisconsin; United States; Vor Ort; USD 60.000 - 88.000; Vollzeit

Zusammenfassung

The University of Wisconsin–Madison is seeking an experienced Data Scientist I–III to support epidemiology research in vascular contributions to cognitive impairment and dementia. The role focuses on managing complex longitudinal data, developing data management systems, and producing reproducible code and analyses in R, STATA, or SAS.

Applicants should have strong background in causal inference and social science methods, with responsibilities including manuscript preparation, presentations,

Qualifikationen

• Managing, analyzing, and interpreting research data from complex cohort studies in R and/or STATA and/or SAS.
• Analyze data according to statistical methods and develop reproducible code and data management plans.
• Working knowledge of causal inference methods and/or prediction modeling.

Aufgaben

• Documents approaches to address research questions.
• Organizes and automates project steps for data preparation and analysis.
• Prepares data sets for analysis including cleaning, transformations, and integration of multiple data sources.
• Implements data science techniques to find patterns and answer research questions.
• Creates reproducible workflows and reports for researchers and administrators.

Kenntnisse

R

STATA

SAS

Causal inference

Data analysis

Ausbildung

Master’s degree in public health/biostatistics/epidemiology

PhD in public health/biostatistics/epidemiology (preferred for higher level)

Tools

R

STATA

SAS

Jobbeschreibung

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category: Academic Staff Employment Type: Regular Job Profile: Data Scientist I

Job Summary: We are seeking to hire an experienced research data analyst to support a research program focused on the epidemiology of vascular contributions to cognitive impairment and dementia, led by Dr. Michelle Caunca in the Department of Neurology. The research analyst will be responsible for managing, coordinating, and transforming multiple longitudinal cohort studies. This Data Scientist will support projects focused on social drivers of vascular contributions to cognitive impairment and dementia. The analyst will be responsible for developing data management systems and code for merging, harmonizing, and analyzing data that is highly complex in nature. The data in question are complex, longitudinal, and multi-level, including data derived from surveys, laboratory assays, neuroimaging, geocoding, event data, and administrative linkages.

The ideal candidate has experience and background in causal inference theory and methodology and social science (e.g. social epidemiology, sociology, demography). The position involves managing, analyzing, and interpreting research data from complex cohort studies in R and/or STATA and/or SAS. The successful candidate will have the capacity to manage to optimize reproducibility (including creation of codebooks and reproducible code that can be published), analyze data according to established statistical methods, oversee the work of students and fellow staff (e.g. who may be conducting or interpreting analyses), and develop recommendations based on research findings. The successful candidate will also participate in the preparation of independent and collaborative manuscripts, presentations at academic conferences and to key stakeholders (e.g. community organizations), and in designing analytic plans for future studies. 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. Applicants for this position will be considered for the following titles: Data Scientist I, II, or III. The title is determined by the experience and qualifications of the finalist.

Key Job Responsibilities

• Documents approaches to address research questions
• Organizes and automates project steps for data preparation and analysis
• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

Department: School of Medicine and Public Health, Department of Neurology, Caunca Research Lab

The Department of Neurology at the University of Wisconsin provides state-of-the-art care for people afflicted with diseases of the nervous system, conducts research in basic and clinical neuroscience, and offers medical students, residents and fellows intensive training in the diagnosis and treatment of neurological disorders.

The Department’s mission of clinical service, research and teaching is pursued at the University Hospital, the Middleton Veteran’s Administration Medical Center, the School of Medicine and Public Health, and in a diverse set of clinical outreach sites within the state of Wisconsin.

The faculty and academic staff of the department currently consists of over 200 individuals engaged in a broad range of clinical and academic activities.

Neurology faculty and academic staff include neurologists, neuropsychologists and scientists who are engaged in basic and clinical research and also contribute to educational programs of the Department.

There are more than 32 trainees in a variety of residency, fellowship, and postdoctoral programs.

Compensation

The starting salary for the position is $60,000 annually for a Data Scientist I, $75,000 annually for a Data Scientist II, and $88,000 annually for a Data Scientist III, 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

• Managing, analyzing, and interpreting research data from complex cohort studies in R and/or STATA and/or SAS.
• Manage and analyze data according to established statistical methods, oversee the work of students and fellow staff who also conduct data analysis and develop recommendations based on research findings.
• Participate in the preparation of independent and collaborative manuscripts, presentations at academic conferences and to key stakeholders (e.g. community organizations), and in designing subsequent waves of data collection (e.g. via the development of sampling strategies, survey instruments and questionnaires).
• Working knowledge of causal inference methods and/or prediction modeling.
• Ability to effectively communicate in a team setting.
• Ability to write reproducible code, conduct code review, and post code publicly for reproducibility.

Preferred Qualifications

At least 1-2 years of experience working in an epidemiology or biostatistics group

Education

• Data Scientist I or II: Master’s degree in public health, biostatistics, and/or epidemiology or other data science is preferred
• Data Scientist III: PhD in public health, biostatistics, and/or epidemiology or other data science is preferred

Contact Information

Caitlin Spaulding, [e-mail], 608-265-1325 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). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

Work with purpose, make an impact, and grow your career. The University of Wisconsin–Madison is committed to equity, inclusion and employee well-being as we proudly work to improve the lives of people in Wisconsin and beyond. UW–Madison offers a wide range of professions that cover various interests and skill levels. We employ everything from accountants to arborists, chefs to custodians, editors to electricians, graphic designers to groundskeepers, HR associates to HVAC technicians, librarians to locksmiths, mechanics to medical assistants, painters to police officers, web designers to welders, and absolutely everything in between! No matter what you are looking for professionally, chances are you will not only find it but will thrive at it while working at the University of Wisconsin–Madison.