Lead Data Scientist (Healthcare Domain Specialist)

Job Description – Lead Data Scientist (Healthcare Domain Specialist)

Location: Bangalore
Employment Type: Full-Time
Industry: Healthcare / AI / Analytics

Role Overview

As the Lead Data Scientist, you will define the data strategy, lead AI/ML projects, and collaborate with healthcare professionals, engineers, and product teams to deploy scalable AI solutions. You will focus on predictive analytics for elderly fall risk assessment, working on real-world healthcare datasets while ensuring compliance, ethics, and clinical alignment.

Key Responsibilities

• AI Model Development: Build and optimize predictive ML/DL models for elderly fall risk assessment.
• Data Analysis: Work with healthcare datasets (EHRs, sensor/wearable data, clinical records) to uncover actionable insights.
• Domain Expertise: Apply healthcare knowledge to ensure model accuracy, reliability, and ethical use.
• Collaboration: Partner with clinicians, healthcare providers, and product teams to align AI solutions with care strategies.
• Data Engineering: Design ETL pipelines for integrating multiple healthcare data sources.
• Evaluation & Optimization: Continuously refine algorithms for accuracy, scalability, and generalizability.
• Compliance & Ethics: Ensure adherence to HIPAA, GDPR, and best practices in data privacy/security.
• Research & Innovation: Stay ahead in healthcare AI trends and integrate new techniques.
• Team Management: Guide and mentor team members, manage deliverables, and evaluate performance.
• Stakeholder Management: Present insights, models, and business impact to leadership and external partners.

Required Skills & Qualifications

• Education: Master’s or PhD in Data Science, Computer Science, Statistics, Bioinformatics, or related. Strong healthcare background preferred.
• Experience:
• 8–11 years in data science, with at least 2 years in healthcare domain.
• Hands-on leadership in AI/ML healthcare projects.
• Experience in startups, MedTech, hospitals, or family offices.
• Technical Expertise:
• Proficiency in Python, R, TensorFlow, PyTorch, Scikit-learn.
• Experience with time-series, sensor/wearable, and IoT healthcare data.
• Familiarity with AWS, Azure, or GCP.
• Strong foundation in statistics, ML, feature engineering.
• Healthcare Knowledge:
• Geriatric healthcare, fall risk assessment, predictive care.
• Familiarity with EHR, wearable devices, and clinical data workflows.
• Knowledge of HIPAA/GDPR compliance.
• Soft Skills:
• Excellent communication with non-technical stakeholders.
• Leadership, mentoring, and cross-functional collaboration.

Preferred Qualifications

• Knowledge of biomechanics or human movement analysis.
• Experience with Explainable AI (XAI) and interpretable ML models.

What We Offer

• Opportunity to build life-changing healthcare AI solutions.
• Competitive salary & benefits.
• Flexible hybrid work culture.
• Professional growth, leadership opportunities, and innovation-driven environment.

Job Type: Full-time

Pay: ₹2,800,000.00 - ₹4,000,000.00 per year

Work Location: In person