Trialspark is a technology company that brings new medical treatments to patients faster by reimagining the clinical trial process.

Today, clinical trials are deeply inefficient. A single clinical trial can cost more than 100 million dollars and less than 10% of clinical trials are completed on time. Our mission is to bring treatments to patients faster by addressing these inefficiencies.

Background

We’re hiring a Director of Data to help drive the growth of our business by better understanding our patients, our products, and our operations.

Our data team is tasked with extracting actionable insights from our data, supporting the analytical needs of teams throughout the company, and working with health datasets to improve the execution of our clinical trials. We use a full-stack set of methodologies and tools to achieve this, taking a data science problem from the initial open ended business question, to the eventual productionization and implementation of a model.

Job Description

As Trialspark’s Director of Data, the subject areas that you will impact span the entire company, from guiding our geographical network expansion based on claims data to building robust models to capture clinical and operational data.

You and your team will:

• Extract insightful information from messy and unstructured data in order to drive strategic decisions at the company
• Create custom models to understand patient behavior, operational analytics, and trial-related datasets
• Advise and guide exploratory data projects/strategic initiatives with datasets from external vendors
• Build tooling and frameworks that enable other analysts to iterate quickly on data science problems
• Work with business stakeholders to create metrics and self service reporting around key questions
• Design and analyze rigorous experiments aimed at understanding patient behavior

Relevant Experience

• At least two years of experience managing a team of Data Scientists
• At least a BA/BS degree in a quantitative or computing focused degree, with a preference for MS/PHD
• 4-6 years of experience working on analytical problems at a data driven organization
• Expertise in either R or Python, preferably with experience writing production quality code for predictive systems
• Expertise in SQL, with basic knowledge of database design and warehousing concepts
• Nice to have: experience working with public or vendor-provided health datasets

You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.