Data Scientist
Madison, WI 
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Posted 5 days ago
Job Description
Job Summary:

The Data Scientist will perform data processing and statistical analyses on genomic data sets for research projects in the Werling Lab in the Department of Genetics. The goal of the Werling Lab is to understand the roles of genetic variation and sex differences in brain development and the biological mechanisms that influence risk for neurodevelopmental and psychiatric disorders. The Werling Lab utilizes genetics and functional genomics data to discover the molecular and cellular impacts of genetic variation and sex-differential biology, both from humans and from mouse models. For this position, the Werling lab is seeking an independent worker with excellent analytical, organizational, and collaborative skills to be involved in routine data analyses and the development and implementation of genomics data processing and analysis workflows for various data modalities generated from human and mouse bulk tissue and single nuclei.

The College of Agricultural and Life Sciences (CALS) and the Werling lab are committed to maintaining and growing a culture that embraces diversity, inclusion, and equity, believing that these values are foundational elements of our excellence and fundamental components of a positive and enriching learning and working environment for all students, faculty, and staff. At CALS, we acknowledge that bias, prejudice, racism, and hate have historically occurred in many forms that cause significant and lasting harm to members of our community. We commit to taking actions each day toward a college that is inclusive and welcoming to all.

Responsibilities: Data Scientist I (RE020)
Data Scientist II (RE021) 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
Bachelor's Degree
Preferred focus in Bioinformatics, Data Science, Statistics, Computer Science, Genetics, Neuroscience, Biology or related field.

Preferred
Master's Degree
Preferred focus in Bioinformatics, Data Science, Statistics, Computer Science, Genetics, Neuroscience, Biology or related field.

Qualifications:

Required:
-Proficiency with Linux and a programming or statistical language such as R and/or Python
-Prior experience with statistics, bioinformatics, or computer science in a professional and/or student staff role (=1 year experience preferred)
-Ability to work independently and collaboratively on team-based projects within the lab and with collaborators
-Effective and flexible communication skills

Well qualified applicants will also have the following preferred experience:
-Prior experience with processing high-throughput DNA or RNA sequencing data, including one or more of the following: quality assessment, read alignment to references, quantification, variant-calling
-Prior experience with analysis of sequencing data, such as differential expression of RNA-seq data and/or analysis of single-cell data
-Experience with analytical pipeline development, e.g. NextFlow, appreciated but not required

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.

Normal hours are 9:00am - 5:00pm, Monday through Friday. Flexibility in working hours is permitted outside of scheduled commitments. Occasional nights and weekends may be required for this position. Official schedule can be discussed at time of offer.

Appointment Type, Duration:

Ongoing/Renewable

Salary:

Minimum $50,000 ANNUAL (12 months)
Depending on Qualifications
The anticipated salary range for this position is $50,000 - $70,000. However, final salary will depend on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and paid time off; competitive insurances and savings accounts; retirement benefits. Additional benefits information can be found at https://www.wisconsin.edu/ohrwd/benefits/download/fasl.pdf

Additional Information:

-A criminal background check may be required
-An Evaluation Period may be required
-Work Authorization:
The 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 .

This vacancy is being posted at both the Data Scientist I and the Data Scientist II level. Title will be determined by years of relevant work experience and qualifications. At Level 1, the position uses the employee's willingness to learn to complete necessary tasks with close to limited supervision. At Level 2, the employee's experience is used to complete necessary tasks with limited supervision and is expected to work more independently.

How to Apply:

Click on the "Apply Online" button to start the application process. You will be prompted to upload the following documents/Application Materials:

Resume (required) - Detail your educational and professional background

Cover letter (required) - Refer to your related work experience

References (required) - List contact information for three (3) references, including your current/most recent supervisor. References will not be contacted without prior notice.

It's important that your cover letter and resume reflect your experience for this position related to the Qualifications section. Your application materials will be used during our evaluation to determine your qualifications as they relate to the job. The most qualified applicants will be invited to participate in the next step of the selection process.

Contact:

Justin Cave
justin.cave@wisc.edu
608-263-3715
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Official Title:

Data Scientist I(RE020) or Data Scientist II(RE021)

Department(s):

A07-COL OF AG & LIFE SCIENCES/GENETICS

Employment Class:

Academic Staff-Renewable

Job Number:

294853-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 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.

 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Salary and Benefits
$50,000 ANNUAL (12 months)
Required Experience
1+ years
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