School of Medicine

Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

Occupational Summary

The Duke PopHealth DataShare is a designated School of Medicine shared resource facilitating researcher access to health data from multiple sources, coupled with regulatory, informatics, and biostatistics expertise in the use of this data. We are looking for an experienced Biostatistician to join our team using large healthcare administrative data sources to answer pressing questions in multiple health sciences research fields.

This position requires:

• Familiarity with large healthcare administrative claims databases such as Medicare, Medicaid, or Electronic Health Record data
• Knowledge of and experience in SAS programming
• The ability to work independently to perform basic and intermediate statistical analysis and programming
• Simultaneous balancing of multiple competing projects and deadlines
• Comfort working with highly confidential and sensitive analyses and documentation, and familiarity with institutional, local, state, and federal policies dictating its use

Preferred Skills

• Performs complex programming and troubleshooting efficiently in SAS
• Experience in multi-level models, generalized linear models, and survival analysis

Work Performed

Statistical Analysis (60%)

With appropriate guidance, prepares statistical analysis plans for a variety of project types (e.g., prospective, retrospective, intervention). Independently generates descriptive and basic test statistics, analysis of basic data requests, and generates statistical modeling results (e.g., mixed models, generalized linear models, survival analysis). Learns new statistical methods as needed and applies new skills to future projects. Performs SAS programming efficiently (e.g., macros, writing own code). Independently identifies and corrects coding errors and validates output and results. Combines multiple disparate raw databases and derives analysis variables accurately.

Documents analyses, creates summaries, and presents results in written and verbal form. Leads or participates actively in developing research-ready analysis data sets, writing statistical programs, and generating statistical output products (e.g., tables, listings, figures). Assess output quality and accuracy prior to sharing. Able to work on any phase of a manuscript project, from initial meeting with an investigator to final review of a manuscript prior to submission for publication, with guidance. Builds excellent documentation to effectively return to a manuscript project after long intervals or for use during post-study validation of analyses by others. Contributes meaningfully to discussions of analyses and identifies next steps for analyses.

Collaboration (15%)

Collaborates effectively with analytic and research personnel. Identifies potential data problems from analytic queries and brings them to the attention of the team. Demonstrates understanding of project data sets and shares knowledge with collaborators.

Participates in most statistical aspects of a research project, with consultation or assistance when needed. Represents the functional group in project team meetings and contributes constructively to project discussions.

Dissemination (15%)

Documents analyses, creates summaries, and presents results in written and verbal form to research teams during project meetings. Contributes to analysis and writing without guidance during all phases of manuscript and report development and revision. Independently drafts methods and results sections for inclusion in manuscripts submitted to peer-reviewed journals, abstracts, and grants. Collaborates closely with investigators, sponsors, and other project leadership to ensure that research project results and conclusions are presented accurately and without bias.

Project Management (5%)

Understands the project scope of work and accurately projects to the time and effort needed to complete each phase of project. Creates timelines for statistical project management, with assistance from project leader and statistical managers. Recognizes when changes to scope will require significantly more effort than allotted and bring this to the attention of the study team.

Data Governance (5%)

Handles and secures highly confidential and sensitive analyses and documentation.

Education/ Training

Work requires a minimum of a Master's degree in (bio)statistics or related field and no relevant experience, or a bachelors degree in (bio)statistics or related field and 2 years relevant experience, or an equivalent combination or relevant education and/or work experience.

Other

This position may have an opportunity to work remotely. Duke University remote workers must reside in one of the following states or districts: Arizona, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Maryland, Massachusetts, Montana, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington (state) or Washington D.C.

The Department of Population Health Sciences aspires to create a community built on collaboration, innovation, creativity, equity, and inclusivity of others without biases or prejudice of any kind. Our collective success depends on a robust exchange of ideas - an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, we are committed to diversity in the staff and faculty we hire, the policies we create, and the decisions we make.

Minimum Qualifications

Education

Work requires a minimum of a Master's degree in (bio)statistics or related field and no relevant experience, or a bachelors degree in (bio) statistics or related field and 2 years relevant experience, or an equivalent combination or relevant education and/or work experience.

Experience

OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Prior contribution to analysis of research projects, a working knowledge of SAS, and solid command of the English language is required.

Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.