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