1. Evaluates and analyzes data using accepted statistical and biostatistical techniques. 2. Investigates, analyzes, and evaluates complex statistical and programming problems. Determines proper methodology, testing standards, and evaluation processes for research projects. Recommends and develops statistical approaches for use in analyses. 3. Prepares analysis plans and writes detailed specifications for analysis files, consistency checks, tables, and figures; communicates with clients regarding statistical analysis issues. 4. In collaboration with research investigators, contributes to the design of research studies, develops analytical plans, conducts statistical analysis and interpret the results. 5. Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups. 6. Plans statistical programming activities and schedules to provide investigators with time frames for projects. 7. Recommends and develops statistical approaches by testing and prototyping. 8. Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary. 9. May perform other duties as assigned.

Required Skill/ability 1:  Masters in genomics, genetics, computational biology, epidemiology, bioinformatics, biostatistics, data science, informatics, or equivalent.

Required Skill/ability 2:  Proficiency in computer programming (e.g., R, Python) and experience with high performance computing in Linux environment is required.

Required Skill/ability 3:  Excellent communication, presentation and writing skills.

Preferred Education:  Proven experience with genetics data would be preferred. Proven experience in large-scale data analysis and biomedical informatics would be preferred.

Work Week:  Standard (M-F equal number of hours per day)

Posting Position Title:  Biostatistician

University Job Title:  Biostatistician

Preferred Education, Experience and Skills:  Proven experience with genetics data would be preferred. Proven experience in large-scale data analysis and biomedical informatics would be preferred.

Master's Degree in Biostatistics, Statistics or relevant field. Two years of experience; or equivalent combination of education and experience.

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