Lead Data Scientist

Job Title: Lead Data Scientist – Healthcare Domain Specialist

📍 Location:

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Role Overview

Lead Data Scientist

healthcare data

predictive analytics

AI/ML solutions

elderly fall risk assessment

Key Responsibilities

• AI/ML Model Development: Build, train, and optimize machine learning and deep learning models to assess and predict fall risk in elderly populations.
• Data Analysis & Feature Engineering: Analyze EHRs, clinical, and sensor data to uncover actionable insights and inform model development.
• Healthcare Integration: Apply domain expertise to ensure model reliability, clinical relevance, and ethical implementation in healthcare workflows.
• ETL & Data Pipelines: Design and implement robust data engineering pipelines to process data from multiple healthcare sources while maintaining quality and compliance.
• Collaboration: Partner with clinicians, engineers, and stakeholders to align AI solutions with patient care strategies and product goals.
• Compliance & Data Security: Ensure data handling practices are in line with HIPAA, GDPR, and other healthcare data regulations.
• Model Evaluation & Optimization: Monitor model performance and iterate to enhance accuracy and generalizability across datasets.
• Research & Innovation: Integrate the latest in healthcare AI research and technologies into real-world solutions.
• Team Leadership: Provide guidance to team members, manage task delivery, support technical problem-solving, and evaluate individual contributions.
• Stakeholder Communication: Present insights, results, and strategic value of AI initiatives to both technical and non-technical leadership.
  

🧾 Required Skills & Qualifications

• Master's or PhD in Data Science, Computer Science, Bioinformatics, Statistics, or a related field.
• Strong academic foundation and understanding of healthcare concepts preferred.
  

• 8–11 years of experience in data science, with at least 2+ years in healthcare AI applications.
• Proven track record leading AI initiatives in healthcare environments (e.g., hospitals, MedTech, health startups).
• Experience collaborating with interdisciplinary teams and contributing to research publications is a plus.
  

• Proficiency in Python and R.
• Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Solid foundation in statistics, probability, machine learning, and feature engineering.
• Experience working with sensor, wearable, IoT, or time-series data is an advantage.
• Familiarity with cloud platforms such as Azure (preferred), AWS, or GCP.
• Skilled in ETL development and scalable data pipeline design.
  

• Understanding of fall prevention, geriatric care, and predictive healthcare strategies.
• Familiarity with Electronic Health Records (EHRs), regulatory standards (e.g., HIPAA, GDPR), and healthcare compliance best practices.
  

• Proven leadership in managing and mentoring technical teams.
• Strong communication skills for both technical and executive audiences.
• A research-oriented and proactive mindset with attention to detail.
  

⭐ Preferred Qualifications

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

What’s on Offer

• Opportunity to work on impact-driven AI/ML healthcare solutions.
• Competitive salary and benefits.
• Flexible and hybrid work environment.
• Clear career advancement and leadership development.
• Inclusive, collaborative team culture that values innovation and purpose.
  

Relevant Job Categories

• Data Scientist
• Data Analyst
• Software & Web Development – AI/ML
  

Key Skill Requirements