We have an opening for a full time Statistical Programmer with R and SAS proficiency to help carry out clinical and epidemiological research studies in arthritis, musculoskeletal disease and pain using large existing datasets. We are an internationally leading NIH-funded research group. The candidate will have the opportunity to join an outstanding group of supportive and collaborative researchers tasked with how to prevent and/or treat these common disabling conditions.    

Primarily responsible for designing, developing, and executing statistical analysis leveraging research study databases.

Anticipated Duties include:

• Creating, modifying, and maintaining R and SAS programs using advanced expertise in utilizing R base and packages and SAS base and macros to meet the programming needs of investigators.
• Extracting and manipulating data from large cohort study databases with R or SAS to create analytic datasets to meet research projects requirements.
• Designing, executing, interpreting, and reporting the results of statistical analyses with R and SAS in writing and with tables and graphs when appropriate for manuscripts or conference presentations.
• Maintaining and updating existing datasets in R or SAS, merging existing datasets with future data, and managing the documentation and data dictionaries for dataset changes.
• Attending study meetings and communicating with investigators about analysis plans for research projects and grant developments.

This position will report to Chief, Section of Rheumatology

http://www.bumc.bu.edu/rheumatology/

Required Skills

• Master’s Degree or higher in epidemiology, statistics, or quantitative sciences
• 1-3 Years’ Experience
• Excellent R and SAS skills with strong written and oral English-language, the ability to meet deadlines in a fast-paced multitasking environment, the ability to work independently and as part of a team are required.
• Expertise in linear, non-linear, and survival analyses and modeling of correlated data.
• Familiarity with mixed-effects modeling, latent class modeling, and concepts of causal inference in observational research and mediation analysis.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Required Experience

• Master’s Degree or higher in epidemiology, statistics, or quantitative sciences
• 1-3 Years’ Experience
• Excellent R and SAS skills with strong written and oral English-language, the ability to meet deadlines in a fast-paced multitasking environment, the ability to work independently and as part of a team are required.
• Expertise in linear, non-linear, and survival analyses and modeling of correlated data.
• Familiarity with mixed-effects modeling, latent class modeling, and concepts of causal inference in observational research and mediation analysis.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.