Clinical Data 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 in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India. 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 Clinical Data Analyst position is a high impact, intellectually challenging role that requires a diverse set of analytical and technical skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data and clinical notes data and become a nexus of healthcare and technology. You will be solving meaningful and consequential problems in healthcare using an EHR and clinical notes database of 120 million US patients (and growing!) and help drive insights that can ultimately improve and impact on patient care. This position will report to our Director of Clinical Intelligence and AI Evaluation team and support end-to-end evaluation, extraction, execution and delivery of custom concepts from clinical notes and EHR data to help our customers dive deeply into complex research questions related to human health and generate data-driven insights that support impactful scientific decisions.   Responsibilities · Use technical skills to scope out clinical informatics data analyses requests from both internal and external customers, produce studies and results within an agreed deadline. · Communicate on the status of various projects and collaborate with multidisciplinary stakeholders to ensure that clinical data projects are successfully executed and delivered. · Excel in providing technical analytics support as well as directly working with internal stakeholders to troubleshoot any data analyses. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on real-world data to address their empirical questions. · Write Databricks SQL queries to extract, analyze and interpret clinical concepts from clinical notes per customer requests. · Create dashboards, data visualizations, and data tools to support data-driven decision making. · Create enablement materials and studies as the Truveta platform evolves to help new researchers to increase our capabilities. · Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current internal and external customers. · Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.   Required Skills · Graduate or Masters level educational degree in clinical research, data analysis, data science, clinical informatics, health information management or related fields. · 3+ years of demonstrated experience conducting analyses using large healthcare datasets (e.g., electronic health records, clinical notes or other real-world data sources consisting of millions of patients' data.). · 3+ years of demonstrated experience working with customers or research teams to translate their asks into executable analytical code, rigorous quality analytical datasets, deliver high quality research analyses. · Strong proficiency in SQL, at least one statistical programming language (R or Python), familiar with Spark bigdata analytics environments, for data wrangling, analysis, and reproducible research workflows. · Strong hands-on problem-solving skills, troubleshoot and identify data or methodological issues early and communicate them effectively. Have ownership, accountability and reliability mindset. · Excellent written and verbal communication skills, including the ability to clearly explain analytical approaches and findings to technical and non-technical stakeholders. · Ability to learn and adapt quickly in a dynamic start-up environment and a good team-player. · Willingness to learn new