JMP Life Sciences division improves all JMP products with advanced solutions in causal inference, genomics, clinical data science, and chemistry, and is spearheading new developments for cutting edge machine learning implementations.
Requirements
- Strong knowledge about causal inference.
- Knowledge about individual treatment effect is a plus.
- Strong communication and coding skills – both written and verbal.
Responsibilities
- Program in R/Python/C++ or other proper coding language to build new/state-of-art causal inference workflows/methods.
- Test, benchmark, document, and promote this work (written and/or video).
Other
- Pursuing a Master’s or preferably a PhD at an accredited college/university in Statistics, Biostatistics, Computer Science, Data Science, Economics, Engineering, or other life-science-analytic focused major.
- Not graduating prior to December 2026.
- You’re curious, passionate, authentic, and accountable.
- Work with (and learn from) the top executives!
- Free SAS programming training and certification.
