Responsibilities

• Apply standard statistical and/or data management software package(s) to execute routine/established data processing, data editing, and some data analysis activities with supervision.
• Manage large datasets; move and merge data files from different platforms, clean, aggregate, data and perform procedures to ensure the quality of data/analysis products.
• Produce and distribute reports.
• Assist in the development of solutions to problems where established theories and techniques have been identified or where existing procedures are to be used.
• Carry out professional development efforts as recommended by supervisory staff.
• Assist with the development of manuscripts performing different tasks such as preparation of analysis datasets, summary tables, and writing technical sections, once data collection has ended.

Qualifications

• Recent bachelors (degree in biostatistics, statistics, mathematics, or related field) with experience outside of the classroom in a clinical or epidemiologic related area.
• Experience working with SAS and Excel. Experience with other statistical packages is a plus (e.g., R, Python, Stata).
• Sound knowledge of theoretical and applied statistics.
• Inquisitive, organized and detail-oriented. Must enjoy investigating details and figuring out the solutions to problems (e.g., digging through the details to determine why two values that should match do not).
• A strong interest in developing expertise in the content and specific data we are working with (not just playing with numbers in a vacuum).
• Knowledge of data science basics and a foundation in machine learning tools to analyze data.
• Ability to incorporate quality standards into work routines.
• Effective skills in communication and team collaboration.
• Excellent writing skills as evidenced by the cover letter.