Lead Data Scientist Specialist

Job highlights

• Education: Masters or PhD in Data Science,Computer Science,Statistics,Bioinformatics,or related field (healthcare background preferred)
• Required Skills Qualifications
• Preferred Qualifications
• Experience with time-series,wearable / sensor,or IoT data

We are seeking an experienced Lead Data Scientist with expertise in healthcare analytics to drive the development and optimization of AI-powered predictive models. This role will focus on fall risk prediction, chronic disease management, and clinical decision support systems, working with EHR data, IoT sensor data, and real-time patient monitoring.

As a key leader in our data science team, you will define strategy, lead projects, and collaborate with healthcare professionals, engineers, and product teams to deploy scalable AI solutions.

Key Responsibilities

• Design, develop, and optimize predictive models for elderly fall risk assessment using advanced ML and deep learning techniques.

• Analyze healthcare-specific data (patient records, sensor data, clinical data) to uncover actionable insights.

• Leverage healthcare domain knowledge to ensure accuracy, reliability, and ethical use of predictive models.

• Collaborate with clinicians, healthcare providers, and cross-functional teams to align AI solutions with patient care strategies.

• Develop robust ETL pipelines for healthcare data integration, ensuring quality and compliance.

• Continuously evaluate model performance and refine algorithms for accuracy and generalizability.

• Ensure compliance with healthcare regulations (HIPAA, GDPR) and implement best practices for data privacy/security.

• Stay updated with the latest research in healthcare AI and predictive analytics.

• Guide and mentor team members, manage deliverables, and evaluate performance.

• Present insights, models, and impact assessments to senior leadership and stakeholders.

  Required Skills Qualifications

• Education: Masters or PhD in Data Science, Computer Science, Statistics, Bioinformatics, or related field (healthcare background preferred).

• Experience:

  • 8-11 years in data science, with at least 2 years in healthcare domain.
  • Prior experience leading AI projects in healthcare startups, hospitals, or MedTech companies.
  • Ability to work in cross-functional teams.
  • Experience publishing research related to healthcare data science.

• Technical Expertise:

  • Proficiency in Python, R, or similar languages for ML/data analysis.
  • Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with time-series, wearable/sensor, or IoT data.
  • Strong knowledge of statistics, probability, and feature engineering.
  • Familiarity with cloud platforms (AWS, Azure, GCP) for scalable ML pipelines.

• Healthcare Domain Knowledge:

  • Understanding of geriatric healthcare challenges, fall risks, and predictive care strategies.
  • Familiarity with Electronic Health Records (EHR), wearable devices, and sensor data.
  • Knowledge of healthcare compliance (HIPAA, GDPR).

• Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication for non-technical stakeholders.
  • Collaborative mindset for interdisciplinary teamwork.

  Preferred Qualifications

• Knowledge of biomechanics or human movement analysis.

• Experience with explainable AI (XAI) and interpretable ML models.

  What We Offer

• Opportunity to work on cutting-edge healthcare AI solutions that improve elderly lives.

• Competitive salary and benefits package.

• Flexible hybrid work environment.

• Professional growth and leadership opportunities.

• Collaborative and inclusive culture that values innovation and teamwork.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.