Director, Clinical Research

Hello Heart

. Collaborate with leadership and cross-functional partners to prioritize clinical and economic research priorities.

Posted 11/10/2026full-timeRemote • United StatesLead💰 $180,000 - $197,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in clinical research, statistical analysis, and data management, with a strong focus on cardiovascular health and digital health. Capable of mentoring researchers and translating complex findings into actionable insights for diverse audiences.

Highest-signal resume keywords

Clinical Research ExperienceStatistical Programming with R, Python, SQLData Management and VisualizationMentorship and Peer ReviewAI-Enabled Workflow Design

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData CleaningData ManagementMultilevel ModelingCausal Inference MethodsPropensity Score MatchingMixed-Effects ModelingLongitudinal AnalysesSensitivity TestingPublication Development

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationHighly OrganizedDetail-OrientedOpen to Feedback

Tools & Technologies

RPythonSQLMS ExcelElectronic Health Record (EHR)

Certifications & Qualifications

Master of Science (MS)Master of Public Health (MPH)Doctor of Philosophy (PhD)Doctor of Pharmacy (PharmD)

Industry Keywords

Clinical ResearchHealth EconomicsBehavioral ScienceChronic DiseasePublic HealthFDA-Regulated CapabilitiesResearch ProtocolsInstitutional Review Board (IRB)Abstract SubmissionCardiovascular Health

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Collaborate with leadership and cross-functional partners to prioritize clinical and economic research priorities.
Provide peer review and mentorship to other researchers on the team, developing their analytical and publication skills over time.
Generate research questions and develop analytical plans for key publication and evidence-generation priorities.
Develop partnerships and work alongside leading research institutes.
Build Hello Heart's research and evidence strategy to support future FDA-regulated capabilities, accounting for regulatory requirements and timelines.
Identify, organize, query, and analyze diverse datasets, including clinical, claims, electronic health record (EHR), and engagement data.
Apply advanced statistical methods, including multilevel modeling, causal inference methods, propensity score matching, mixed-effects modeling, longitudinal analyses, and sensitivity testing.
Collaborate with co-authors to incorporate feedback and finalize analyses, manuscripts, white papers, and abstracts.
Respond to anonymous peer reviews, including repeat analyses and manuscript revisions, to support timely resubmission.
Identify relevant conferences for abstract submission and present ongoing research when appropriate.
Stay current on scientific research related to cardiovascular health, digital health, behavioral science, chronic disease, health economics, and public health.
Contribute to data summaries, research protocols, institutional review board (IRB) materials, and other research documentation.
Translate complex analytical findings into clear, accurate, and actionable insights for clinical, technical, commercial, and executive audiences.

Requirements

What you’ll need

Graduate degree in a clinical field, epidemiology, biostatistics, public health, or a related field, such as Master of Science (MS), Master of Public Health (MPH), Doctor of Philosophy (PhD), or Doctor of Pharmacy (PharmD), with 10+ years of clinical research experience.
Demonstrated experience working in a commercial research setting, comfortable balancing scientific rigor with business needs.
Experience leading or mentoring a team of researchers, including peer-reviewing others' work and supporting less experienced researchers as they develop toward independent publication.
Strong statistical programming experience with R, Python, SQL, MS Excel, or other relevant analytical tools.
Strong AI fluency, with the ability to design AI-enabled workflows, such as building or customizing agents others can use while maintaining accuracy, privacy, and human review.
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, electronic health record (EHR), engagement, or other healthcare datasets.
Experience testing medical claims, pharmacy 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.