Data scientist / pharmacometrician
Role
As part of our data science team you will be building and extending the
scientific infrastructure that forms the basis of our precision dosing and
clinical analytics platform, as well as performing data (“big” and “small”)
analyses on biomedical data from partners in hospitals and pharmaceutical
industry in the US and abroad.
What we’re building
The InsightRX software platform leverages patient demographics, biomarkers,
genetics, and drug levels to provide patient specific dosing
recommendations. The software provides predictive analytics for healthcare
practitioners in a user-friendly manner, enabling scientifically informed
decision-making for personalized medicine.
Requirements:
- MSc/PhD in (bio)statistics / data science / engineering, and/or proven
track record of experience in those fields
- 3+ years of experience in modeling & simulation / machine learning
working with real data
- 5+ years of experience with R
- proven track record of writing clean, reproducible, and testable code
- proficient in auxiliary data science tools: linux, git, AWS, etc.
- passion for developing high-quality, production-ready, scalable
scientific software
We value:
- experience with modeling of pharmacokinetic / pharmacodynamic /
biomedical data, e.g. using NONMEM, Stan, or other.
- experience with tools for big data analyses: Spark, Hadoop, noSQL,
Docker, etc.
- contributions to open source software projects
- experience developing web applications
We offer:
-
salary and equity comparative with market rates
-
flexible working hours
-
note: visa sponsorship for non-US residents is not available at this
point.
See www.insight-rx.com for more information about the company and our
mission. Please contact [email protected] for further details or to
apply.
------------------------
Ron Keizer, PharmD PhD
Chief scientific officer
www.insight-rx.com http://www.insightr-rx.com/