Data Analyst

Madison

Job Summary:

The Department of Obstetrics and Gynecology at the University of Wisconsin-Madison has an outstanding opportunity for an independent, well-organized, and motivated individual to serve as full-time Data Analyst for the Reproductive Equity Action Lab (REAL). REAL, led by Dr. Tiffany Green (she/her), conducts innovative research that identifies the key structural inequities that hinder reproductive autonomy. Learn more about REAL here: https://real.smph.wisc.edu/. The Data Analyst will be a vital part of REAL, which is in a growth phase and implementing multiple funded projects.

The Data Analyst will support funded projects based on primary data collection and administrative and health systems databases (e.g., electronic medical records) to investigate the relationships between health/social policies, environmental factors and racial/ethnic inequities in access to reproductive healthcare (including abortion and contraception) and reproductive health outcomes.

Responsibilities:

Contributes to a research agenda set by a lead researcher by preparing data sets, analyzing them using data science techniques, and presenting the results. May work independently or as part of a team.
  • 25% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • 15% Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
  • 20% Organizes and automates project steps for data preparation and analysis
  • 10% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
  • 15% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
  • 5% Remain well-informed on new approaches, innovations, standards, and best practices in statistical data analysis relevant for supporting scientific rigor
  • 5% Support and/or participate in drafting and/or review of research articles and project reports and other dissemination activities
  • 5% Provide mentorship and training support to REAL trainees

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.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Education:

Required
Master's Degree in Statistics, Economics, Health Services Research, Psychology, Computer Science, Public Health, or related field with training in quantitative analysis is required by the start date of the position.

Preferred
Ph.D. in Statistics, Economics, Health Services Research, Psychology, Computer Science, Public Health, or related field with training in quantitative analysis.

Qualifications:

Required Qualifications:
- 3 years of experience and demonstrated proficiency with large survey and administrative database management and data programming and analysis using statistical software program such as STATA, SAS, or R (STATA preferred).
- 2 years of demonstrated experience creating robust, well-documented software code.
- All candidates must have proven success in conducting research appropriate to their stage of career.

Preferred Qualifications:
- Evidence of ability to effectively work independently and collaboratively within a team (i.e., highly motivated, responsible).
- Demonstrated ability to consistently maintain a high level of attention to detail and demonstrate organizational skills.
- Evidence of ability to communicate effectively (both verbal and written).
- Demonstrated ability to prioritize and manage multiple projects.
- Possess effective problem-solving skills.
- 2 years of experience with management and analysis of electronic medical records.
- 2 years of experience with with Qualtrics or other survey tools.
- 2 years of employment experience in reproductive health or reproductive equity research.

Work Type:

Full Time: 100%

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.

We prefer the candidate to be based in the Midwest with availability to attend in-person work activities in Madison, WI monthly. However, this is a flexible requirement. For the right candidate, we are open to a fully remote arrangement. For fully remote candidates, we require some travel for professional development, research, and team-building activities.

Appointment Type, Duration:

Ongoing/Renewable

Salary:

Negotiable
ANNUAL (12 months)
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at (https://hr.wisc.edu/benefits/).

SMPH Academic Staff Benefits flyer: (https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0).

How to Apply:

To apply for this position, please click on the "Apply Now" button. Interested candidates should submit a 1) cover letter (no more than 2 pages) detailing relevant experience and qualifications for this position; 2) a CV or resume; 3) a sample of quantitative research that you have contributed to, such as a publication or working paper (if you have one).

Contact:

Kirsten Gragg
kgragg@wisc.edu
608-265-3357
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Official Title:

Data Scientist II(RE021)

Department(s):

A53-MEDICAL SCHOOL/OB-GYN/GYN RESEARCH

Employment Class:

Academic Staff-Renewable

Job Number:

306515-AS

 

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

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, 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 through diversity and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, click here

If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/

Employment may require a criminal background check. It may also require you and your references to answer questions regarding 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Computer Science Data analysis Data Mining Data visualization Economics Machine Learning R Research SAS Security Stata Statistics Teaching

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Medical leave Team events

Regions: Remote/Anywhere North America
Country: United States

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