Biostatistician 2

Duties

• Application of causal inference methods such as entropy balancing, instrumental variables, regression decomposition, and propensity scoring approaches
• Work with electronic health record datasets such as Cosmos and Truveta to conduct large real-world observational data analysis
• Apply epidemiologic concepts for appropriate study design principles
• Communicate clearly and effectively across clinical and policy disciplines
• Take complex statistical and analytical approaches and tailor them for the audience with a teaching orientation
• Mentor and teach students, junior analysts, and trainees in medicine, economics, and public health studies
• Construct complex data pipelines with extract, transform, and load processes (ETL) for large datasets
• Work with the OMOP common data model (either as a developer or a user)
• Validate raw data and assess its usefulness for downstream processing
• Flexibly manage several collaborations and work as a collaborator on multiple projects

Qualifications

• Desired Qualifications: Master's degree in biostatistics, statistics or related field and at least 3 years of experience.
• Knowledge, Skills And Abilities (required): Proficient in at least two of R, SAS, SPSS, or STATA. Skills in descriptive analysis, modeling of data, and graphic interfaces. Outstanding ability to communicate technical information to both technical and non-technical audiences. Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).