Biostatistician jobs in Waukesha, WI

Position Description:

Every great life-changing discovery begins the same way-with new knowledge. It can change everything, from a single life to the future of entire communities. That's why academic medicine, and the continuous pursuit of knowledge, is at the center of everything we do at the Medical College of Wisconsin (MCW).

The Center for International Blood and Marrow Transplant Research (CIBMTR) provides a unique resource of data and statistical expertise to the scientific community for addressing important issues in hematopoietic cell transplantation and cellular therapies.

In the role of Biostatistician I you will responsible for meticulous data management and analysis for multiple ongoing research studies, including data cleaning, description of patient populations, analysis and interpretation of data and conducting outcome analysis. Directs the progress of research studies including management and coordination. Support investigators, scientists and physicians in the development of moderately complex study design, preparation of scientific reports, manuscripts and materials for presentation at national and international meetings.

Responsibilities:

Research:

• Serve as the primary statistician for CIBMTR research studies and independently collaborate with principal investigators in the development and implementation of complex datasets.
• Support principal investigators in moderately complex study design; prepare preliminary study tables to assess study feasibility and determining final study population.
• Prepare moderately complex datasets. Write SAS programs to create or verify key analysis data sets and TLFs.
• Performs descriptive, univariate, and multivariate (with PhD statistician supervision) analyses.
• Provide project management for studies and projects to ensure the timely and accurate completion of analyses, reports, and submission of studies for publication.
• Review clinical study reports and assist in manuscripts submitted for publication.

Innovation:

• Collaborate with Data Operations staff to resolve data inconsistencies for research studies and projects. Collaborate in standard processes to resolve data inconsistencies.

Registry Support:

• Respond to requests from physicians, patients, pharmaceutical and insurance companies, the media, state and federal government agencies through the CIBMTR Information Request Process.
• Collaborate on the development of program materials including educational materials, training manuals, marketing materials, websites, and reports.
• Participate on appropriate committees relevant to the advancement of CIBMTR Statistical Operations activities.
• Assist in the writing of grants and peer-reviewed scientific publications, providing expertise and statistical content regarding the statistical analysis plan, study population, statistical methodology and description of results.
• Collaborate with the Statistical Operations administrative staff to support the management of the CIBMTR Scientific Committees.

Secondary Functions:

• Perform other duties as assigned.

Knowledge - Skills - Abilities

• Knowledge: Research study design methods, independent problem solving, decision making, statistical analyses.
• Skills: Programming experience with statistical analysis programs, logistic regression and survival analysis, research writing for publication, interpersonal communication and networking, independent research project management, written, oral and presentation skills required. Microsoft Office computer software and Internet skills.

Preferred Schedule:
Mon-Friday - Hybrid

Position Requirements:

Minimum Qualifications:
Appropriate experience may be substituted for education on an equivalent basis.

Minimum education: Master's degree
Minimum experience: 1 year

Preferred Qualifications:
Preferred education: Master's degree in Biostatistics or closely related biomedical field where biostatistical design and analyses comprised the primary course of study. Application in statistical analysis of data from large, long-term, observational epidemiological research studies.

Preferred experience: Performing statistical design/analysis of data from large, long-term, observational epidemiological research studies, advanced knowledge of one or more programming languages. Knowledge of data structures and data science techniques. Ability to plan, create, program, and manage complex statistical computer databases. Strong analytical communication, critical thinking, and problem-solving skills. Excellent time management skills and ability to multi-task and prioritize projects. Recent Masters level graduates will be considered.

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Why MCW?

• Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
• 403B Retirement Package
• Competitive Vacation and Paid Holidays offered
• Tuition Reimbursement
• Paid Parental Leave

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Eastern Wisconsin is a vibrant, diverse metropolitan area. MCW is intent on attracting, developing, and retaining a diverse workforce and faculty body that reflects the community we serve. We value diversity of backgrounds, experience, thought, and perspectives to advance excellence in science and medicine. MCW is a welcoming campus community with a strong culture of collaboration, partnership, and engagement with our surrounding community. For more information, please visit our institutional website at .

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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