JOB SUMMARY:
Our laboratory studies the genetics of metabolic disease. We exploit natural genetic variation present within different mouse strains to link metabolic dysregulation with genes. Different mouse strains respond differently to diets high in fat and carbohydrates, similarly to humans. To understand the basis of this difference in diet responsiveness, We assess physiological traits (e.g. body weight, food intake), metabolites in serum, metabolic flux as measured with stable isotopes, and gene expression in key metabolic tissues as assessed from RNA sequencing. We subject these different sources of phenotype data to genetic mapping wherein we look for strong associations of phenotypes with genotype; single nucleotide polymorphisms (SNPs). The overall goal of our studies is to discover genes that drive these phenotypes.

We are looking for a person who is proficient in statistics (e.g. correlation, ANOVA, unsupervised clustering, regression and principal component analyses) and competent in writing and implementing R code, the program we use for genetic association mapping. The ideal candidate would also be capable of developing an organizational structure for data files that can be continuously updated and integrate within a data analysis pipeline. The ability to develop web-based browsers for the data, and visualization tools (e.g. Shiny apps) is highly desirable.

We aim to find someone who is comfortable in a highly collaborative environment, has good inter-personal skills, and genuinely enjoys working with other people and teaching students how to analyze data.

RESPONSIBILITIES: Provides biostatistical consulting and develops and contributes intellectually to study design and methodology in collaboration with physicians and scientists conducting biomedical, life sciences, clinical, and population health research.
60% Evaluates, prepares, analyzes, and interprets existing data and sources, selects and applies appropriate statistical methods, and prepares summarized reports
5% Develops research study designs for research projects
20% Designs and implements statistical methods and applicable resource materials used for research projects
10% Advises on best practices and established policies, procedures, and regulations and conducts biostatistical analysis for internal and external stakeholder groups
5% Contributes to preparing, writing, editing, and submitting research manuscripts, presentations, reports, research grant and contract proposals and/or post-award reports to funding agencies
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:
Preferred
Master's Degree
Statistics or related field.

QUALIFICATIONS:
Proficiency with the skills described in the Job Summary is essential.

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.


APPOINTMENT TYPE, DURATION:
Ongoing/Renewable

SALARY:
Minimum $71,000 ANNUAL (12 months)
Depending on Qualifications
The expected salary range for this position is $71,000 up to $90,000 for highly experienced candidates. Actual pay will depend on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation and paid holidays, sick pay, competitive insurance, and savings accounts, as well as many retirement benefits.