Clinical Data Analyst

About the role:

Hello Heart is seeking a Clinical Data Analyst to join our Data Analyst group. The hire will work closely with Medical Affairs, Data Science, Product, Sales, and Marketing teams at Hello Heart to produce clinical and economic evidence that demonstrates the effectiveness of the Hello Heart solution in helping members to improve their heart health and reduce medical spending using technology and behavioral science. In this role, you will hone expertise in statistics and claims analysis while applying your research expertise to support our scientific publication and dissemination efforts by developing white papers and peer-reviewed publications including formulating hypotheses, data preparation/statistical analyses, writing manuscripts, incorporating co-author feedback, addressing anonymous peer reviews, and presenting findings to diverse audiences.

Responsibilities:

• Collaborate with leadership to prioritize research topics 
• Generate novel research questions and develop analytical plans for key research topics
• Identify, organize, query and analyze diverse datasets, including clinical, claims, EHR, and engagement data. Utilize advanced statistical methods, such as: multilevel modeling, causal inference methods (e.g. propensity score matching), mixed effects and longitudinal (e.g., survival) analysis
• Complete analysis for 5-10 publications annually 
• Collaborate with co-authors to incorporate feedback and finalize analysis/manuscripts
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• Rapidly respond to anonymous peer reviews, including re-analysis and revisions, to ensure timely re-submission
• Identify appropriate conferences to submit abstracts to and present ongoing work
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• Keep up-to-date with the latest scientific research findings in the field
• Contribute to the development of data summaries, research protocols, and IRB materials

Qualifications

    Basic Qualifications: 

• Graduate degree in clinical field/epidemiology/biostatistics/public health (MS, MPH, PhD, PharmD) with minimum 5 years experience in clinical research
• Strong data analysis/statistical programming proficiency and experience in R, Python, SQL, or other relevant tools
• Data skills including data cleaning, data management, and data visualization 
• Ability to plan and implement complex statistical analyses and meet deadlines
• Highly organized and capable of multitasking and prioritizing tasks
• Open and responsive to receiving and incorporating feedback on manuscripts and other written work
• Excellent communication and interpersonal skills, especially in communicating findings to diverse audiences

      Preferred Qualifications:

• 10+ co-authored publications
• Experience publishing research on cardiovascular health/disease, digital health,  behavioral health, and/or chronic diseases/disorders
• Experience with health economics/medical claims, clinical, pharmaceutical, digital health, social/behavioral science, or public health research
• Experience with causal modeling, experimental design, propensity score matching  
• Demonstrated ability to collaborate with co-authors from different disciplines and backgrounds on peer-reviewed publications or funded grant applications and an enthusiasm for working with diverse research partners
• Experience working with commercial or industry partners on publications/studies