Job Description: Senior Product Manager (AI & Real-World Evidence)
Location: Remote
Experience: 7+ Years
Domain: Healthcare, Oncology, Data Science
We are a mission-driven HealthTech organization dedicated to transforming global healthcare equity. By leveraging the power of Artificial Intelligence and high-fidelity Real-World Evidence (RWE), we bridge the gap between groundbreaking medical innovation and patient accessibility. Our platform specializes in underrepresented clinical datasets, particularly in the field of Oncology, to help life sciences companies, hospitals, and financial institutions deliver precision medicine to the billions of patients who need it most.
We don't just build software; we build solutions that make life-saving treatments affordable through innovative financing models and data-driven clinical insights.
The Role
We are seeking a visionary Senior Product Manager to drive the evolution of our core AI-powered analytics platform. In this role, you will sit at the unique intersection of Oncology, Data Science, and Financial Innovation. You will be responsible for leading the integration of diverse, granular clinical data—including Electronic Health Records (EHR) and RWE—into a scalable product suite that improves patient outcomes and affordability.
Your challenge will be to translate complex machine learning models into actionable, intuitive tools that clinicians and pharmaceutical partners can use to solve the world’s toughest healthcare challenges.
Key Responsibilities
- Product Strategy & Roadmap: Define and execute the roadmap for our AI analytics engine, ensuring alignment with our mission to expand access to precision medicine in emerging and established markets.
- Data Integration & Scaling: Lead the ingestion and harmonization of large-scale, heterogeneous datasets (EHR, genomic, and longitudinal patient records) to build a robust foundation for real-world insights.
- ML Translation: Work closely with our Data Science team to turn predictive models (e.g., survival analysis, treatment response) into user-facing products that drive clinical and commercial decision-making.
- Patient Access Innovation: Collaborate with cross-functional teams to design and scale "Value-Based" products, such as outcome-based drug warranties and bridge financing solutions for high-cost therapies like Immunotherapy and CAR-T.
- Stakeholder Management: Act as the bridge between technical teams (Engineering/DS) and external stakeholders (Pharma companies, Oncology clinics, and Payer networks) to ensure product-market fit.
- Compliance & Governance: Ensure all products adhere to global healthcare regulatory standards (HIPAA, GDPR, etc.) and maintain the highest levels of data privacy and ethical standards.
- Go-to-Market: Define key success metrics, monitor product performance, and iterate based on real-world feedback from healthcare providers and life science partners.
Qualifications
- Experience: 7+ years of product management experience, with at least 4 years specifically focused on healthcare data products, RWE, or clinical informatics.
- Domain Expertise: Deep understanding of the Oncology landscape and the nuances of EHR data, clinical trial recruitment, and the pharmaceutical drug development lifecycle.
- Technical Literacy: Proven ability to work with Data Scientists and Engineers. You should be comfortable discussing SQL, Python-based ML workflows, and cloud data architecture (Azure/AWS).
- Regulatory Knowledge: Familiarity with healthcare compliance, data privacy laws, and the evolving regulatory landscape for AI in medicine.
- Analytical Mindset: Strong competency in quantitative analysis; experience using data to tell a story and justify product decisions.
- Entrepreneurial Spirit: A "Do GREAT" attitude with the ability to thrive in a fast-paced, high-growth environment where you are often defining the path forward.
Preferred Skills
- Experience building financial technology products within a healthcare context (e.g., lending, insurance, or EMI-based healthcare financing).
- Familiarity with the OMOP Common Data Model or HL7 FHIR standards.
- Previous experience working with data from emerging markets or underrepresented patient populations.
- Advanced degree (MBA, MPH, or MS) in a quantitative or healthcare-related field.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Selection Process
Step 1: If the job description interests you, please try to solve the challenge mentioned in the
below document
https://drive.google.com/file/d/1Y5wFl4EMLLoNpgGmWyKn9iZCBc1goxLo/view
Step 2: Submit your answer to the challenge on the email ID mentioned in the challenge
document
Step 3: We’ll review the work and result. If found correct, we’ll schedule a video interview via
Google Meet
Step 4: We’ll take a 30 to 60-minute video interview
Step 5: After the interview, if we think you’ll be able to do the work as per this job description,
we’ll confirm it with you
Step 6: If you are keen to join us, you can accept the offer and join as soon as you can! It is a
the full-time work-from-office role from our office in Malad West, Mumbai (near Infinity Mall on Link
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https://www.cointab.in/
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Full Stack Developer - Averlon