Data Scientist

Updated: 3 months ago
Location: Madison, WISCONSIN

Details

Posted: 23-Jan-24

Location: Madison, Wisconsin

Salary: Open

Categories:


Research - Laboratory/Non-Laboratory
Staff/Administrative

Internal Number: 292250-AS



Job Summary:

The Wisconsin Reading Center is looking for a key role on the research team to participate in data analytics in health sciences with a focus on ophthalmology. This involves working with large datasets from various sources, collaborate with ophthalmologists and researchers to develop predictive models to aid in detection diagnosis and management of patients with ocular diseases. This is a great opportunity to work on interesting projects in a highly collaborative environment with a goal to implement big data analysis in preventing and curing blindness.


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. Works as part of a team under general supervision.
  • 20% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • 40% 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
  • 15% Organizes and automates project steps for data preparation and analysis
  • 15% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
  • 5% Documents approaches to address research questions
  • 5% Assist the principal investigator in the hiring, training, and supervision of students and staff.

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
Bioinformatics, Applied Mathematics, or Data Science required.


Qualifications:

Preferred:
-Two years of statistics or bioinformatics experience in a professional and/or student staff setting.
-Proficiency with Linux and a programing or statistical language such as R.
-Practical experience in one or more of the following areas: differential expression of RNAseq data for multifactor experiments, analysis of single-cell data, or experience working.


Work Type:

Full or Part Time: 50% - 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.


Appointment Type, Duration:

Terminal, 24 month appointment.
This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding


Salary:

Minimum $50,000 ANNUAL (12 months)
Depending on 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. Benefits information can be found at (https://hr.wisc.edu/benefits/ ).


How to Apply:

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience, and a document listing contact information for three (3) references, including your current/most recent supervisor. References will not be contacted without prior notice.


Contact:

Beth Reuter
[email protected]
608-263-3680
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.



Official Title:

Data Scientist I(RE020)


Department(s):

A53-MEDICAL SCHOOL/OPHTHAL&VIS SCI/FPRC


Employment Class:

Academic Staff-Terminal


Job Number:

292250-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.
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 will require a criminal background check. It will 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 .


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About University of Wisconsin Madison
The University of Wisconsin–Madison has been a catalyst for the extraordinary since its founding in 1848. Our students, staff, and faculty partake in world-class education and conduct prolific research that solves real-world problems. Our guiding principle is the Wisconsin Idea, a commitment to outreach that creates a better future for our state, our nation, and the world. We value the contributions of each person and recognize that diversity is a source of strength, creativity, and innovation.
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