Description
Solutions 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.
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 Week.
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. #LI-remote
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.
This Opportunity
This Solutions Analyst position is a high impact, challenging role that requires a diverse set of skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-world Electronic Health Record (EHR) data. You will be solving consequential problems in healthcare using an EHR database of 120 million patients (and growing!) and make an impact on patient care. This position will report to our Director of Research Success on the Partner team and support strategic engagements with its Life Sciences partners.
Responsibilities
- 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.
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 SQL, 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 life science 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.
- Regex query writing experience
- Statistics
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