Senior Clinical Data Scientist – Data Enablement and Validation
TruvetaAbout the role
Senior Clinical Data Scientist – Data Enablement and Validation
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 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.
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
We are seeking a highly skilled and motivated Senior Clinical Data Scientist to join our Product Enablement and Data Validation team. This pivotal role focuses on ensuring the integrity and reliability of Truveta’s data, enabling our customers to make informed decisions based on high-quality insights. As a Senior Clinical Data Scientist, you will leverage your expertise in data exploration, analysis, and validation to drive impactful studies and provide strategic recommendations that enhance research outcomes.
Key Responsibilities:
- Data Expertise: Develop a deep understanding of Truveta Data, its characteristics, and its applications in clinical research.
- Enablement and Validation Strategy: Design, plan, and execute comprehensive data enablement and validation studies, prioritizing efforts based on stakeholder input and customer needs.
- Cross-Functional Collaboration: Work closely with clinical informatics, data quality engineering, and other teams to align efforts, share insights, and improve Truveta Data.
- Reporting and Recommendations: Create detailed, customer-facing reports that summarize findings and provide actionable recommendations for research studies utilizing Truveta Data.
- Code Development: Write high-quality, reproducible analysis code in SQL, R, Python, and Spark, and share it with internal teams and customers for educational purposes.
- Communication: Present findings to internal product and engineering teams to inform data quality improvements and long-term strategic initiatives. Ability to meet with customers to understand research needs and present findings.
Required Qualifications:
- Education: Master’s degree or equivalent in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Economics.
- Technical Skills: Minimum of 3 years of hands-on experience in data analytics, including proficiency in SQL, Spark, R, and/or Python, with a focus on executing data exploration, profiling, and validation projects.
- Collaboration Experience: Proven track record of working effectively with cross-functional teams and communicating complex findings to diverse audiences.
- Self-Motivated: Ability to thrive in a fast-paced environment, demonstrating initiative and delivering high-quality results.
- Communication Skills: Exceptional written and verbal communication skills, with the ability to convey project status, timelines, and project out
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