Research Scientist I

Position Description:

This is a non-faculty researcher position that will contribute to fundamental advances in the analysis of large-scale, complex genetic and genomic datasets with a focus on cancer and hematologic traits. The Research Scientist will be involved in every aspect of the research enterprise, including study design and consultation with basic scientists and clinicians, data management, analysis, and preparation of progress report and manuscripts. This is a highly collaborative role and the Research Scientist will be expected to contribute to multiple projects simultaneously.

Primary Functions

• Serve as a statistician on large-scale genetic and genomic studies with responsibilities ranging from designing studies, to developing analysis plans, and conducting cutting-edge data analyses.
• Contribute to science through both independent and collaborative research, including co-authoring papers. Assist in outcome interpretation and composition of the results sections of manuscripts and reports.
• Communicate results to collaborators and larger scientific audiences at research conferences.
• Plan and perform statistical analyses using advanced techniques; determine and review statistical findings with investigators and recommend design modifications.
• Lead efforts to apply novel statistical methodologies related to the genetic and genomic epidemiology of cancer.
• Regularly review the latest research methodologies in statistical genetics and develop plans for implementation.
• Implement reproducible research standards, including sharing code and using version control software.

   •   Participate in regular meetings with the principle investigator, research staff, and collaborators. 

Knowledge of biology, statistics, and high performance computing. Ability and desire to work both independently and in a collaborative environment. Excellent interpersonal, oral, and written communication skills. Strong project management skills, including the ability to manage multiple projects simultaneously. 

Preferred Schedule:

Position Requirements:

Minimum Required Education:

• PhD in Statistics or a closely related field.

Minimum Required Experience:

Preferred Experience:

• Advanced statistical programming skills (e.g., R, Python)
• Familiarity with a basic programming language (e.g., C, Java)
• Experience with a High Performance Computing cluster
• Familiarity with standard command line tools and pipelines for genetic and genomic data analysis (e.g., PLINK, kallisto, BEDTools, GENESIS)
• Experience implementing reproducible research, including sharing code and using version control software
• Basic knowledge of genetics

Field: Statistics

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.

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