Job no: 253154-AS
Work type: Onsite, Staff-Full Time
Department:VCRGE/BIOTECH/ADV GENOME ANLYS
Location: Madison
Categories: Data Analysis Services
Job Summary:
The University of Wisconsin Biotechnology Center (UWBC) and the Center for Genomic Science Innovation (CGSI) are committed to maximizing the benefits of biotechnology research within the University of Wisconsin-Madison, University of Wisconsin System, State of Wisconsin, and the nation. The Centers facilitate high quality, comprehensive, multidisciplinary research and supports, coordinates, disseminates, and advances biotechnology.
The UWBC is a large and complex organization containing 13 sub-units and the CGSI, and administers the Computation and Informatics in Biology and Medicine (CIBM) graduate training program and the Genomic Sciences Training Program (GSTP). The Center has a variety of funding sources; federal and non-federal grants and awards, and seven fee-for-service revenue generated 136 accounts.
UWBC is a synergistic blend of core service facilities, research, and outreach activities. The Bioinformatics Resource Center (BRC), one of UWBC core facilities, is seeking to add a highly self-motivated individual to our team. This individual will be responsible for working with research personnel to implement bioinformatics and statistical methods for a myriad of project types. This will involve scripting, exploration of parameter selections, summarizing large data in tabular and graphical formats, and providing detailed documentation of all methods used. This individual will work closely with a collaborative group to develop robust workflows that can be efficiently applied to similar projects. Many aspects of these analyses are computationally intensive requiring high-throughout infrastructure available at the BRC.
Responsibilities:
Data Scientist II (RE021)
Data Scientist I (RE020)
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
Master’s degree in Bioinformatics, Statistics, Biological Sciences or a related field preferred.
Qualifications:
Well-qualified applicants will have the following preferred experience:
COVID-19 Considerations:
UW-Madison continues to follow necessary health and safety protocols to protect our campus from COVID-19. All employees remain subject to the COVID-19 Workplace Safety Policy: https://policy.wisc.edu/library/UW-5086. Please visit https://covidresponse.wisc.edu for the most up-to-date information.
Work Type:
Full Time: 100%
This position requires work be performed in-person, onsite, at a designated campus work location.
Appointment Type, Duration:
Ongoing/Renewable
Salary:
Minimum $50,000 ANNUAL (12 months)
Depending on Qualifications
The minimum salary for a Data Scientist I position is $50,000 annually. The minimum salary for a Data Scientist II position is $63,800 anually. Salary will be determined based on qualifications and experience.
Additional Information:
Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist.
A successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. University sponsorship is not available for this position.
How to Apply:
To apply for the position, please click on the “Apply Now” button. You will be required to submit a cover letter and resume highlighting your qualifications as they relate to this position. Cover letters will be used as a writing sample to determine the best-qualified applicants.
Contact:
Jennifer Reed
[email protected]
608-262-3978
Relay Access (WTRS): 7-1-1 (out-of-state: TTY: 800.947.3529, STS: 800.833.7637) and above Phone number (See RELAY_SERVICE for further information. )
Official Title:
Data Scientist I(RE020) or Data Scientist II(RE021)
Department(s):
A347564-VCRGE/BIOTECH/ADV GENOME ANLYS
Employment Class:
Academic Staff-Renewable
Job Number:
253154-AS
The University of Wisconsin is an Equal Opportunity and Affirmative Action Employer. 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.
Applications Open: Mar 9 2022 Central Standard Time
Applications Close: Mar 27 2022 11:55 PM Central Daylight Time
UW-Madison is an equal opportunity/affirmative action employer. We promote excellence through diversity and encourage all qualified individuals to apply.
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