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.
• Were 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 youre passionate about pushing the boundaries of AI in healthcare, wed 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 Innovaccers 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 deeplearning models in production at scale with interactive improvements- would requirehands-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 agenticworkflows 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