Lead Data Scientist - Healthcare Domain

Role : Lead Data Scientist Job Description: Lead Data Scientist Healthcare Domain 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 : - AI Model Development : Design, develop, and optimize predictive models for elderly fall risk assessment using advanced machine learning (ML) and deep learning techniques. - Data Analysis : Work with healthcare-specific data (e.g., patient records, sensor data, clinical data) to uncover patterns and actionable insights. - Domain Expertise Application : Leverage healthcare domain knowledge to ensure accuracy, reliability, and ethical use of models in predicting fall risks. - Collaborate with Experts : Collaborate with clinicians, healthcare providers, and crossfunctional teams to align AI solutions with clinical workflows and patient care strategies. - Data Engineering : Develop robust ETL pipelines to preprocess and integrate healthcare data from multiple sources, ensuring data quality and compliance. - Evaluation & Optimization : Continuously evaluate model performance and refine algorithms to achieve high accuracy and generalizability. - Compliance & Ethics : Ensure compliance with healthcare data regulations such as HIPAA, GDPR, and implement best practices for data privacy and security. - Research & Innovation : Stay updated with the latest research in healthcare AI, predictive analytics, and elderly care solutions, integrating new techniques as applicable. - Team Management : Guide all team members in technical and domain-specific problemsolving, manage day to day task deliverables, evaluate individuals performance and coach. - Stakeholder Management : Present insights, models, and business impact assessments to senior leadership and healthcare stakeholders. Required Skills & Qualifications : - Education : Master's or PhD in Data Science, Computer Science, Statistics, Bioinformatics, or a related field. A strong academic background in healthcare is preferred. Experience : - 8 - 11 years of experience in data science, with at least 2 years in the healthcare domain. - Prior experience in leading AI projects in healthcare startups, hospitals, or MedTech companies. - Ability to work in cross-functional teams. - Ability to publish papers and research findings related to healthcare data science Technical Expertise : - Proficiency in Python, R, or other programming languages used for ML and data analysis. - Hands-on experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Scikitlearn). - Experience with time-series data, wearable/sensor data, or IoT data integration is a plus. - Strong knowledge of statistics, probability, and feature engineering. - Familiarity with cloud platforms (AWS, Azure, GCP) and tools 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 data compliance (e.g., HIPAA, GDPR). Soft Skills : - Strong analytical and problem-solving abilities. - Excellent communication skills to present findings to non-technical stakeholders. - A collaborative mindset to work with interdisciplinary teams. 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 make a meaningful impact on elderly lives. - Competitive salary and benefits package. - Flexible work environment, with options for hybrid work. - Opportunities for professional growth and leadership. - Collaborative and inclusive culture that values innovation and teamwork. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 4/19/2025