Senior Clinical Data Scientist - Applied Data Enablement

Truveta•Seattle, WA

55d•$155,000 - $170,000•Hybrid

About The Position

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 one week 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 We are seeking a highly skilled and motivated Senior Clinical Data Scientist to join our Catalysts team. This pivotal role focuses on enabling our customers to make informed decisions based on high-quality tutorials and insights into Truveta Data. As a Senior Clinical Data Scientist, you will primarily focus on developing tutorials and enablement studies (approximately 75% of your time), leveraging your expertise in data exploration, analysis, and validation. The remaining 25% of your work will involve presenting and teaching these materials to customers, delivering actionable insights that enhance research outcomes.

Requirements

Education: Bachelor'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 outcomes clearly.
AI skills: Proficient in applying generative AI and related tools across workstreams to enhance efficiency and scalability.

Nice To Haves

Healthcare data: Experience working with and analyzing large-scale healthcare data.
Teaching experience: Background in teaching coding and data analysis techniques to diverse audiences.
Statistical expertise: Experience with statistical programming and methodologies, including time series, survival, and longitudinal analyses.
Scientific contributions: Proven track record of publication in peer-reviewed literature, including as first author.

Responsibilities

Data expertise: Develop a deep understanding of Truveta Data, its characteristics, and its applications in clinical research.
Reporting and recommendations: Create customer-facing reports and tutorials that summarize findings and provide actionable recommendations for research studies utilizing Truveta Data, driven by a prioritization list derived from customer and internal stakeholder needs.
Templates and intelligence: Design tailored artifacts and templates for multiple skill levels, serving as key inputs to enhance Truveta's AI initiatives.
Communication: Present findings in both written and oral formats to diverse audiences, including executive-level customers, detail-oriented analysts, and internal product and engineering teams. Engage with customers to understand research needs and effectively communicate results.
Studio expertise: Develop a deep understanding of Truveta Studio, our analytical platform.
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.