Manager - Data Scientist

Data is the foundation of our innovation.

We are seeking a Manager, Data Science with expertise in NLP and Generative AI to lead the development of cutting-edge AI-driven solutions in healthcare.

This role requires a deep understanding of healthcare data and the ability to design and implement advanced language models that extract insights, automate workflows, and enhance clinical decision-making.

We're looking for a visionary leader who can define and build the next generation of AI-driven tools, leveraging LLMs, deep learning, and predictive analytics to personalize care based on patients clinical and behavioral history.

If you're passionate about pushing the boundaries of AI in healthcare, we'd love to hear from you!

A Day in the Life

• Team Leadership & Development: Build, mentor, and manage a team of data scientists, and machine learning engineers. Foster a culture of collaboration, innovation, and technical excellence.
• Roadmap Execution: Define and execute on the quarterly AI/ML roadmap, setting clear goals, priorities, and deliverables for the team.
• Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them.
• Define technical architecture to productize Innovaccer s machine-learning algorithms and take them to market with partnerships with different organization.
• Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows.
• Project & Stakeholder Management: Work closely with cross-functional teams, including product managers, engineers, and business leaders, to align AI/ML initiatives with company objectives.

What You Need

• Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)
• 8+ years of experience in Data Science (healthcare experience will be a plus)
• Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - Has demonstrable experience deploying deep
• learning models in production at scale with interactive improvements- would require
• hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow.
• Strong hands-on experience in building GenAI applications - building LLM based workflows along with optimization techniques - knowledge of implementing agentic
• workflows is a plus.
• Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Having patents/publications in any area of AI/ML is a great add on.
• Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s
• Strong written and spoken communication skills