DEDICATED SUPPORT RESEARCH ANALYST

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

WHO WE NEED

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

REQUIRED SKILLS

• Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.
• Experience is working with large database consisting of millions of patients’ data.
• 3+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQ, R and Python.
• Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
• 2+ year’s experience working with customers to deliver high quality research analyses.
• Ability to learn and adapt quickly in a dynamic start-up environment.

PREFERRED QUALIFICATIONS

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.

• Statistics
• Regression
• Propensity Score Matching
• Survival Analyses & Kaplan-Meier curves
• Spark/PySpark experience
• Consulting experience

RESPONSIBILITIES

• Meet with customers to understand needs for technical analyses and for technical enablement. This includes setting up weekly meetings to meet with end users and account leaders to assess how they can get the most value out of their Truveta EHR data subscription. You will scope out solutions and analyses based on these needs and work with the director to set timelines and manage expectations of the client.
• Work with manager and success team members to develop and pursue an overall strategy for your dedicated support accounts.
• Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.
• Collaborate with life sciences customers on analyses, helping them produce peer-reviewed publications.
• Communicate on the status of various projects and collaborate with success managers to ensure that Truveta clients can be successful with the platform.
• Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting customer analysis.
• Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions.
• Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer request.
• Create enablement materials as the Truveta platform evolves to help onboard new researchers to our increasing capabilities.
• Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers.
• Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.

• Statistics
• Regression
• Propensity Score Matching
• Survival Analyses & Kaplan-Meier curves
• Spark/PySpark experience
• Consulting experienc