Truveta delivers the most complete, timely and clean EHR data, empowering researchers to improve patient care, accelerate R&D, and inform public policy.

Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for two weeks during the year for Truveta Planning Weeks.

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time.

This Data Analyst will report to our Sr. Director of Research Solutions on the Partner team. They will focus on supporting strategic engagements with its Life Sciences partners. Leveraging technical skillsets, they will deliver collateral that will be used by members of the team to demonstrate the value of Truveta to prospective customers and drive adoption of the Truveta Studio in the Life Sciences space. The Analyst will have a strong background in health care, real world data (RWD), and leveraging programming skills to analyze Real World Data.

Responsibilities Will Include

• Use technical skills and domain expertise to receive incoming customer requests and produce feasibility analyses and other value demonstration collateral
• Build demos, use cases, and other content designed to support Business Development to advance prospective customer engagements
• Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate value of the Truveta Studio to prospective customers
• Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap
• Provide subject matter expertise across the Truveta Partner team, including assisting in program design and coordinating well across Truveta teams

Key Qualifications

• BS in Computer Science, Data Analysis, or equivalent
• 3+ years of experience analyzing Electronic Health Record data or other Real World Data sources in healthcare
• Advanced skills using SQL and R to conduct data analysis
• Knowledge of electronic health record or claims data for data analysis
• Proven ability to understand clinical research questions and translate into data analyses workflows
• Proven ability with to simplify complex clinical research and other domain-specific topics into synthesized, structured, and simplistic content for a non-research audience
• Start-up mindset that allows you to shift gears quickly