Pharmacometrician / Data Scientist

Key Skills

AI technology, C++, Julia, Machine learning techniques, Non Linear Programming, Python Programming, Quarto, R Markdown, R Programming, R-Shiny

Job Description

InsightRX is a venture-backed healthcare technology company focused on individualizing treatment at the point of care. We envision a world in which all medications work as intended, maximally effective and safe. Founded in 2015, our core precision dosing product combines patient-specific data with pharmacology models and continuous learning to help clinicians individualize dosing for complex medications where a ‘one-size-fits-all’ treatment approach leads to suboptimal clinical outcomes. Our team is fast-paced, results-oriented, and mission driven.

About The Job

We are seeking a highly motivated and skilled pharmacometrician / data scientist with a strong background in pharmacometrics to join our growing team. The ideal candidate will have a passion for optimizing drug use both in clinical situations and during drug development, as well as experience in data analysis and clinical pharmacology, preferably using R.

As a pharmacometrician / data scientist at our company, you will be responsible for developing and implementing pharmacometric models to support the optimization of drug therapies in clinical settings and decision making during the drug development process. This will involve collaborating with cross-functional teams to ensure the successful delivery of our products and services.

The ideal candidate will have the following qualifications:

• A Ph.D. or similar in pharmacometrics, data science, or a related field
• Experience with non-linear mixed effects modeling and similar techniques
• Competence in R, desire to learn more
• A strong interest in optimizing drug use in clinical settings
• A strong interest in optimizing decision making in the development of new drugs
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Authorized to work in the United States

We also value:

• A track record of publishing in peer-reviewed journals and presenting at conferences
• Experience with machine learning / AI
• Experience with other data science or general-purpose languages: Python, Julia, C++ etc
• Experience with electronic health records (EHR) or electronic data capture (EDC) systems
• Experience with R Shiny, RMarkdown, Quarto

If you are passionate about applying pharmacometrics in the clinic and in drug development, we encourage you to apply for this exciting opportunity to join our dynamic startup team.