New

Research Technologist I

Medical College of Wisconsin

United States, Wisconsin, Milwaukee

Mar 07, 2025

Position Description:

Our unique program focuses on how to interpret genetic variations that cause human diseases. We leverage multi-disciplinary approaches, including Big Genomics Data, systems biology, computational biophysics, biochemistry, and structural bioinformatics, to develop a more comprehensive and integrated understanding of the underlying mechanisms of diseases. For the current employment opportunity, we are seeking a data analyst who is familiar with the AllofUs Workbench platform, capable in basic epidemiology analysis, and proficient at data visualization and summarization. The successful candidate will join our productive team in chromatinopathies research. They will work with our multi-disciplinary group of computational scientists, rare disease clinicians, laboratory technicians, and faculty, to operate the workflow and team-based process that we have developed. We are seeking a motivated and skilled data scientist, who will thrive in a team environment where they will work collaboratively and independently to analyze diverse data and synthesize it in reports to the team and academic publication.

Preferred Schedule:

8am-4pm or 9am-5pm

Position Requirements:

Primary Functions
1.	Understands principles of biology and the interpretation of analytic results. Independently provides troubleshooting for code generation, data gathering (e.g. AllofUs), processing, and presentaiton.
2.	Develops, implements, and refines informatic workflows for visualizing phenotypic, genomic, and additional linked data per the scientific needs of our program.
3.	Adapts data science tools, visualization packages, and annotation resources to perform research analysis independently and accurately - flexibility and competency in data wrangling.
4.	Contributes to collaborative research publications. Presents regular project updates at meetings with collaborators.
5.	Excellent written and verbal communication skills to present analysis to our group and externally, through research presentations and papers.

This position requires strong analytical skills, working knowledge of genetics and molecular biology, as well as experience using tools for querying, visualizing, and exporting from the All of Us Workbench. Most of all, the successful candidate will be highly motivated to learn and be part of our ongoing work to pioneer the new field for interpreting the effects of human genetic variation. Working experience with basic data modeling with healthcare data, such as epidemiology, is preferred. As the lab is actively working in this application area, the successful candidate will receive training in on the established workflow and modeling process, with many opportunities to improve and expand the workflow. At the same time, the priority for the current position is to help our labs move towards population-level modeling by acting as a researcher and data liaison to the All of Us and possibly additional national and international repositories. Candidates must demonstrate an ability to critically read, understand, and interpret data from scientific publications. The successful candidate will be organized, detail-oriented, and an effective written and verbal communicator.

Specifications

Appropriate experience may be substituted for education on an equivalent basis

Minimum Required Education: Bachelor's degree

Minimum Required Experience: No experience required

Preferred Education: Scientific field preferred but not required

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MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering a diverse community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.