Senior Research Scientist - RWE

About Qure.AI:<\/span>
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<\/span><\/span><\/b>Qure,ai is the world's fastest\-growing medical AI company, boasting an impressive 13 FDA and 62 CE marking clearances to date. We develop cutting\-edge solutions that significantly enhance patient outcomes across various care domains, including lung cancer, tuberculosis, and stroke. Our innovative technologies have positively impacted over 22 million patients in more than 90 countries worldwide. At Qure.ai, we are committed to fostering a diverse and inclusive workplace and are proud to be an equal\-opportunity employer.<\/span>
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<\/span><\/span>About the job<\/span><\/span><\/b><\/span><\/span><\/div>

<\/span><\/span>Job Title:<\/span><\/span><\/b> <\/span><\/span><\/span>Senior Research Scientist \- RWE<\/span>
<\/span><\/span>Department:<\/span><\/span><\/b> <\/span><\/span>Operations \- Health Economics and Outcomes Research<\/span>
<\/span><\/span>Location:<\/span><\/span><\/b> <\/span><\/span>Mumbai<\/span>
<\/span><\/span>Years of Experience:<\/span><\/span><\/b> <\/span><\/span>Over 5 years<\/span>
<\/span><\/span>Employment Type:<\/span><\/span><\/b> <\/span><\/span><\/span>Full\-time, Permanent<\/span><\/span><\/span><\/span><\/div>

<\/span><\/span>Key Relationships<\/span>
<\/span><\/span><\/b>Vice President \u2013 Operations, Operational Research and Impact Measurement<\/span><\/span><\/span><\/span><\/div>
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<\/span><\/span>Job Description<\/span>
<\/span><\/span><\/b>We are seeking a Senior Research Scientist (Real World Evidence) to lead the design, execution, and dissemination of real\-world evidence studies for oncology\-focused use cases. This role combines the rigor of clinical research with the innovation from real\-world data, supporting impactful publications, regulatory\-grade evidence, and insights for health systems and partners.<\/span>
<\/span>You will play a central role in protocol development, study design, statistical analysis, and manuscript writing, working cross\-functionally with R&D, clinical, and product teams. This position is ideal for candidates with a strong background in clinical research who are excited to apply scientific rigor to real\-world healthcare data.<\/span>
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<\/span><\/span>Roles and Responsibilities<\/span>
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<\/span><\/span><\/b>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Lead the development of study protocols, statistical analysis plans, and methodologies for real\-world evidence projects (retrospective, prospective observational, registry\-based, or pragmatic studies).<\/span>
<\/span>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Design statistical analysis plans aligned with available data and real\-world data workflows<\/span>
<\/span>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Ensure analyses are methodologically sound, reproducible, and aligned with research objectives.<\/span>
<\/span>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Draft high\-quality abstracts, manuscripts, and presentations for submission to peer\-reviewed journals and international conferences.<\/span>
<\/span>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Translate scientific findings into insights for stakeholders, including health systems, funders, and key opinion leaders.<\/span>
<\/span>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Partner with clinical experts, implementation teams, and external collaborators to generate relevant and impactful evidence.<\/span>
<\/span>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Ensure adherence to ethical, scientific, and data governance standards, including Good Clinical Practice (GCP) principles where applicable.<\/span>
<\/span>\-<\/span> <\/span> <\/span><\/span><\/span><\/span>Stay current with evolving methodologies in RWE, epidemiology, and health outcomes research.<\/span><\/span><\/span>
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Requirements<\/h3>
Skills and Expertise
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<\/span>· <\/span><\/span><\/span><\/span>An advanced degree, including Ph.D., M.D., or PharmD/Master\u2019s degree with relevant research<\/span> <\/span><\/span>and publication experience in a related field (Clinical Research, Epidemiology, Biostatistics, HEOR, among others)
<\/span>· <\/span><\/span><\/span><\/span>Deep expertise in observational methods, and real\-world evidence generation (study design, protocol writing, outcomes research).
<\/span>· <\/span><\/span><\/span><\/span>Proficiency in R programming, or other similar statistical packages
<\/span>· <\/span><\/span><\/span><\/span>Experience conducting advanced analyses using EMR, claims, registry, or programmatic health data.
<\/span>· <\/span><\/span><\/span><\/span>Demonstrated ability to publish in peer\-reviewed journals and present at scientific conferences.
<\/span>· <\/span><\/span><\/span><\/span>Excellent written and verbal communication skills, with ability to distill complex findings for diverse audiences<\/span><\/span>Experience in working with cross\-functional teams and facilitating collaboration between technical and clinical staff.<\/span>
· <\/span><\/span><\/span><\/span>Ability to manage competing priorities in a fast paced environment<\/span>
· <\/span><\/span><\/span><\/span>Ability to build good relationships with KOLs and Healthcare experts as appropriate<\/span>
· <\/span><\/span><\/span><\/span>Attention to detail with excellent organization skills<\/span>
· <\/span><\/span><\/span><\/span>Process\-oriented mindset and ability to get things done. <\/span><\/span>
· <\/span><\/span><\/span><\/span>Demonstrated excellence in program management, including the ability to manage multiple projects with varying scopes simultaneously.<\/span>
· <\/span><\/span><\/span><\/span>Excellent communication skills, with a proven track record of effective stakeholder management and the ability to convey complex technical details to non\-technical audiences.<\/span>
· <\/span><\/span><\/span><\/span>Proactive approach to problem\-solving and the ability to anticipate project needs and potential obstacles.<\/span>
· <\/span><\/span><\/span><\/span>A commitment to staying abreast of the latest developments in AI and healthcare technology to drive continuous improvement in project outcomes.<\/span><\/span><\/span>
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