Luminary Group is thrilled to announce a collaborative initiative with a key player in the healthcare technology domain. This partnership is focused on bolstering our client's team by recruiting a Director of Data Science. The primary objective is to enhance the team's data capabilities and drive strategic initiatives forward. Together, we aim to harness the power of data to achieve impactful outcomes within the healthcare sector.

Responsibilities:

• Craft a comprehensive Data Science strategy aligned with the organization’s vision, adapting to the evolving health IT and data landscape, and ensuring AI applications align with business goals.
• Communicate the ML/NLP strategy and projects to key stakeholders including leadership, customers, and prospects.
• Lead end-to-end ML/NLP solutions, from planning to maintenance, ensuring quality and alignment with business needs.
• Manage the data science backlog, adjusting priorities based on evolving business needs.
• Coordinate across stakeholders to manage conflicting priorities.
• Develop cutting-edge NLP or AI pipelines to support business objectives.
• Conduct code reviews to ensure product quality.
• Oversee technology implementation for automating data processes and inference.
• Lead annotation workflow and abstractor training development.
• Coordinate a multi-disciplinary team to develop a cohesive strategy that delivers business value.
• Cultivate trust with stakeholders through transparent, incremental delivery of value.
• Manage relationships with third-party vendors.
• Evaluate new technologies and tools for potential adoption.

Leadership in People:

• Prioritize value for the team.
• Continuously assess project and product success to ensure alignment with business objectives.
• Foster creativity and innovation within the team.
• Build high-performing teams that deliver data science solutions efficiently.
• Serve as a visible leader in the data science field, offering mentorship, feedback, and coaching, while promoting community development initiatives.

Requirements

Minimum Requirements:

• 10+ years of advanced analytics, machine learning, and natural language processing experience.
• 4+ years of people management experience.

Critical Skills:

• Expertise in mining Claims and EHR data, preferably in oncology.
• Experience managing the full lifecycle of machine learning data products.
• Proficiency in OCR and NLP for unstructured data analysis.
• Knowledge of Large Language Models (LLM) and Retrieval Augmented Generation (RAG).
• Familiarity with data curation and analysis packages (e.g., NumPy, Keras, PyTorch, Pandas, scikit-learn).
• Proficiency in NLP libraries, including Huggingface, SpaCy, NLTK, cTAKES, MetaMap, or John Snow Labs.
• Experience with AWS and Azure cloud technologies.
• Familiarity with ML workflow orchestration tools such as Airflow and MLflow.
• Proficiency with Github, JIRA, and Confluence.
• Strong problem-solving skills and experience in root cause analysis.
• Experience with healthcare, real-world, or clinical data.
• Experience building team culture with a growth mindset.

Additional Skills:

• Strong written and verbal communication skills.
• Experience in life sciences or bio/chemical research.
• Experience in oncology data and clinical workflow.
• Demonstrated entrepreneurial mindset and willingness to learn new techniques.
• Ability to navigate complex projects and environments.