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Senior Health Data Researcher

đŸ”„ 12 hours ago

đŸ‡ș🇾 United States – Remote

đŸ’” $145k - $165k / year

⏰ Full Time

🟠 Senior

đŸ‘» Ghost score 0%

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Logo of Hello Heart

Hello Heart

51 - 200 employees

Founded 2013

đŸ„ Healthcare

đŸ’Œ Consulting

🧘 Wellness

Healthcare ‱ Consulting ‱ Wellness

Hello Heart is a healthcare technology company offering a mobile app to help individuals track and improve their heart health. The app provides real-time tips, allows users to track their blood pressure, and offers personalized insights to help users manage their heart health more effectively. Hello Heart also partners with businesses, health plans, and labor unions to provide these tools to their employees and members, demonstrating a significant impact on heart health outcomes through personalized and data-driven approaches. Privacy and security of health data are prioritized, ensuring members' health information is protected.

📋 Description

‱ Collaborate with leadership and cross-functional partners to prioritize clinical and economic research topics ‱ Generate research questions and develop analytical plans for publication and evidence-generation priorities ‱ Identify, organize, query, and analyze clinical, claims, EHR, and engagement datasets ‱ Apply advanced statistical methods, including multilevel modeling, causal inference, propensity score matching, mixed-effects modeling, longitudinal analyses, and sensitivity testing ‱ Collaborate with co-authors to finalize analyses, manuscripts, white papers, and abstracts ‱ Respond to anonymous peer reviews through repeat analyses and manuscript revisions ‱ Identify relevant conferences for abstract submission and present ongoing research when appropriate ‱ Stay current on cardiovascular health, digital health, behavioral science, chronic disease, health economics, and public health research ‱ Contribute to data summaries, research protocols, IRB materials, and other research documentation ‱ Translate complex analytical findings into actionable insights for clinical, technical, commercial, and executive audiences

🎯 Requirements

‱ Strong AI fluency, including designing AI-enabled workflows and building or customizing agents while maintaining accuracy, privacy, and human review ‱ Graduate degree in a clinical field, epidemiology, biostatistics, public health, or related field, such as MS, MPH, PhD, or PharmD ‱ 5+ years of clinical research experience ‱ Previous experience co-authoring relevant clinical publications ‱ Strong statistical programming experience with R, Python, SQL, MS Excel, or other relevant analytical tools ‱ Strong data skills, including data cleaning, data management, statistical analysis, and data visualization ‱ Experience planning and implementing complex statistical analyses while managing deadlines across multiple research priorities ‱ Experience working with clinical, claims, EHR, engagement, or other healthcare datasets ‱ Experience testing claims and enrollment data for errors, including actuarial summaries and cuts by cohort ‱ Highly organized, detail-oriented, and able to manage multiple projects at once ‱ Open and responsive to feedback on manuscripts, analyses, and other written work ‱ Excellent written and verbal communication skills, with the ability to explain findings to technical and non-technical audiences

đŸ–ïž Benefits

‱ Positive, diverse, and supportive culture ‱ Collaborative, creative, and courageous work culture

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