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
Seniority level
Director
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Primary and Secondary Education and Non-profit Organizations
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