Job posting number: #7100597
Posted: May 23, 2022
Application Deadline: Open Until Filled
Job DescriptionJOB SUMMARY:
The Department of Ophthalmology and Visual Sciences has an exciting opportunity for a Biostatistician II to join our team! We are a collaborative department that promotes innovative thinking. The individual will provide biostatistical and data science assistance on creative and ground-breaking projects in the visual sciences.
This position will provide 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.
SMPH is committed to being a diverse, equitable, inclusive and anti-racist workplace and is an Equal Employment Opportunity, Affirmative Action employer. Applications from Black, Indigenous and People of Color (BIPOC) individuals, LGBTQ+ and non-binary identities, women, persons with disabilities, military service members and veterans are strongly encouraged.
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.
50% Evaluates, prepares, analyzes, and interprets existing data and sources, selects and applies appropriate statistical methods, and prepares summarized reports
10% Develops research study designs for research projects
5% Designs and implements statistical methods and applicable resource materials used for research projects
5% Advises on best practices and established policies, procedures, and regulations and conducts biostatistical analysis for internal and external stakeholder groups
10% Contributes to preparing, writing, editing, and submitting research manuscripts, presentations, reports, research grant and contract proposals and/or post-award reports to funding agencies
5% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
5% Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
5% Organizes and automates project steps for data preparation and analysis
5% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
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
Master's Degree preferred in statistics, biostatistics, or related field.
-At least 2 years of related experience preferred.
-Experience with biostatistical testing such as sample size calculations, T tests, ANOVA, repeatability/reproducibility, survival analysis, nonparametric analysis and regression modeling is required.
-Proficiency with R.
-Excellent communication skills.
-Ability to work independently and have excellent time management skills.
-Experience using tidyverse packages.
-Experience with management and analysis of clinical trial data at a central coordination center, large public research datasets, or longitudinal cohort data.
-Familiarity with SQL.
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.
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.