Remote, 12-month contract, renewable
ESSENTIAL FUNCTIONS
- Use statistical software (Proficient in R; other software is a plus including SAS, Python, and Stata) to perform data manipulation and analysis consistent with protocols and/or statistical analysis plans related to real world data studies to support the evidence generation plan. These studies will be traditional outcomes research studies, economic evaluations of medicines and will be aimed will target top tier journals.
QUALIFICATIONS
- Master’s degree in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics or doctoral degree (PhD, DrPH, ScD)
- At least 5 years of experience programming with R or Python in the Data Science field in a professional capacity
- Pharmaceutical industry experience preferred
- Experience working with U.S. longitudinal RWD assets. (e.g., claims, electronic health records, and/or surveys) – Must have sufficient experience working with Optum Market Clarity data
- Proficiency with statistical methods (e.g., causal inference, survival analysis, general linear models, etc.); machine learning experience welcome, though not essential
- Highly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferred
- Peer-reviewed publication track record is a plus
- Collaborative approach to problem-solving and ability to plan and multi-task
- Excellent written and oral communication skills
- Proven results producing visualizations for analytical understanding and communication purposes
- Experience communicating advanced analysis and models to non-technical audiences
- Clear passion for using data to generate insights and enable data-driven decision making
