InsightRX is a venture backed healthcare technology company based in San Francisco focused on individualizing treatment at the point of care. Founded in 2015, our company’s precision dosing platform combines patient-specific data with pharmacology models and machine learning to help clinicians individualize dosing for complex medications where a ‘one-size-fits-all’ treatment approach leads to suboptimal clinical outcomes.
InsightRX is integrated into the clinical workflow of healthcare practitioners and supports treatment optimization across several therapeutic areas including antibiotics, chemotherapeutics and immunosuppressants. InsightRX has partnered with over 100 top tier medical centers and globally recognized biotechnology and pharmaceutical companies to bring precision dosing to the forefront of patient care.
We are hiring a data scientist!
What you’ll likely work on:
Building new models to predict clinical response to drugs
Improving and optimizing existing models to predict clinical response to drugs
Adding to our existing data science stack.
Deploying new models to our clinical decision support platform through our R API.
Contributing to research collaborations with major pharmaceutical companies, academic institutions and hospitals to answer the most pressing questions in precision dosing and establish InsightRX as a thought leader in the field.
Identifying the right scientific questions to ask, then designing and executing the experiments needed to answer them.
Producing high-quality reproducible analyses.
What we are looking for:
PhD in a quantitative field (experience in a quantitative life sciences discipline such as bioinformatics, bioengineering, computational biology or clinical pharmacology a big plus!)
Coursework or experience in statistics and/or machine learning
Proficiency in R (preferred) or python
We also value:
Coursework in pharmacokinetics/pharmacodynamics
Experience building PK/PD models, working with NONMEM
Experience working with clinical data and/or clinical trials and/or Electronic Health Records.
Experience building efficient ETL pipelines
Experience in SQL
Experience building and maintaining packages in R
People who thrive in a fast paced start-up environment