Job Description

Job Description

Biostatistician 2

Position Type: Admin/Professional
Department: Clinical and Translational Research Institute
Full or Part Time: Full Time
Pay Grade: MN11

Summary:

Responsible for data wrangling, statistical programming, and providing data analytical service and supportfor various clinical, biomedical, and health services research projects. The role requires expertise in basic biostatistical methods, proficiency in statistical software, and a growing familiarity with artificial intelligence (AI) applications in healthcare research.

Principal Functional Responsibilities:

• Collaborate with faculty, clinicians, and researchers to design and analyze biomedical and health-related studies.
• Perform data management, cleaning, and transformation to prepare datasets for statistical analysis.
• Conduct statistical analyses using basic biostatistical methods such as regression, categorical data analysis, survival analysis, and longitudinal data analysis.
• Develop custom statistical programs and scripts to automate analyses and support large-scale research projects.
• Assist in the interpretation, visualization, and presentation of results for reports, publications, and grant applications.
• Provide statistical consultation and technical support to faculty, medical staff, and research teams.
• Stay current with emerging AI methods relevant to biostatistics and healthcare research.
• Ensure data integrity, security, and compliance with institutional and federal regulations.
• Perform other duties as assigned.

Qualifications:

• Master’s degree in Biostatistics, Statistics, or a related field.
• Proficiency in statistical programming using R, SAS, or Python.
• Experience working with large and complex datasets in healthcare or biomedical research.
• Solid understanding of basic biostatistical methods, including regression, categorical data analysis, survival analysis, and longitudinal data analysis.
• Familiarity with AI techniques and machine learning applications in healthcare research.

Preferred Qualifications:

• Experience with electronic health records (EHR) data and clinical trial analysis.
• Knowledge of Bayesian methods, causal inference, or predictive modeling.
• Familiarity with SQL databases and data visualization tools.
• Previous experience in an academic or medical research setting.

Physical Requirements:

Must be able to utilize a phone, computer and screen and other office equipment.

Department Specific Information:Clinical and Translational Research Institute_Specific_Information
To apply, visit https://neomed.peopleadmin.com/postings/5377

NEOMED is committed to providing equal employment opportunities to qualified applicants without discrimination on the basis of age, color, disability, gender identity or expression, genetic information, national origin, race, religion, sex, sexual orientation, transgender status, status as a parent during pregnancy and immediately after the birth of a child, status as a parent of a young child, status as a foster parent, veteran status or any other category protected by applicable state or federal law. As an Equal Opportunity Employer, NEOMED also affirms its commitment to nondiscrimination in its employment policies and practices. In compliance with Title IX (20 U.S.C Sec. 1681 et seq.), NEOMED prohibits sex discrimination, including sexual harassment.

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Job Tags

Full time, Part time, Immediate start,

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