Lead Data Scientist

1 day ago

Pune, Maharashtra, India True Talents Full time ₹ 6,00,000 - ₹ 8,00,000 per year

Job Title :
Lead Data Scientist - Healthcare Domain

Location :
Bangalore / Pune (Hybrid / Onsite)

Job Type :
Full-time

Experience :
6-10 Years

Notice Period :
Up to 30 days

About The Role
We are seeking an experienced Lead Data Scientist with deep expertise in the Healthcare domain to drive AI/ML initiatives, build predictive models, and deliver insights that transform healthcare solutions. The ideal candidate will combine strong technical skills with domain knowledge to lead a team of data scientists and collaborate with cross-functional Responsibilities :

  • Lead end-to-end data science projects in the healthcare space, from business understanding to deployment.
  • Develop, train, and optimize advanced Machine Learning, Deep Learning, and NLP models for healthcare datasets (EHR, medical claims, imaging, clinical notes, etc.).
  • Work with structured and unstructured healthcare data, ensuring data privacy, compliance (HIPAA, HL7, FHIR, GDPR), and ethical AI practices.
  • Partner with product, engineering, and business teams to define data-driven strategies and use cases.
  • Mentor and guide a team of data scientists and analysts, ensuring delivery of high-quality solutions.
  • Stay up-to-date with AI/ML advancements in healthcare and life sciences to recommend innovative approaches.
  • Translate complex results into actionable insights for clinical, operational, and business Skills & Experience :
  • 6-10 years of experience in Data Science / AI/ML, with at least 3+ years in Healthcare domain projects.
  • Strong expertise in Python / R, SQL, TensorFlow / PyTorch, Scikit-learn, NLP frameworks.
  • Hands-on experience with healthcare datasets (EHR/EMR, HL7/FHIR standards, clinical text, medical imaging, claims, genomics).
  • Proven ability to design and deploy ML models at scale (on AWS / Azure / GCP).
  • Solid understanding of statistical modeling, predictive analytics, deep learning, and NLP.
  • Knowledge of data privacy and compliance regulations (HIPAA, GDPR, etc.).
  • Experience leading a data science team and collaborating with cross-functional to Have :
  • Exposure to Generative AI / LLM applications in healthcare.
  • Experience in biostatistics, medical research, or healthcare product development.
  • Familiarity with MLOps practices and tools (Kubeflow, MLflow, Docker, Join Us ?
  • Opportunity to work on next-gen healthcare AI solutions with real-world impact.
  • Be part of a fast-growing, innovation-driven organization.
  • Collaborate with industry leaders, clinicians, and global teams.
  • Attractive compensation and growth candidates can apply with updated resumes.

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