Highmark Health
Lead Data Scientist - Research and Development - Graph Intelligence
Highmark Health, Augusta, Maine, us, 04338
Overview
Company :
Highmark Health Job Description :
Lead Data Scientist, Research & Development, Graph Intelligence. The role leads in designing and evaluating graph-native analytical solutions in healthcare, focusing on network relationships, knowledge graphs, and Graph Machine Learning to address healthcare challenges such as patient pathways, disease progressions, treatment efficacy, fraud detection, and population health dynamics. This premier R&D position involves inventing and proving transformative graph analytics, building and enriching knowledge graphs, developing Graph Neural Networks (GNNs), graph convolutional networks (GCNs), graph attention networks (GATs), and other advanced network algorithms. Responsibilities include designing rigorous experiments, creating proof-of-concept models, and evaluating performance and interpretability for real-world applicability. You will work as a relational data innovator, identifying opportunities to construct healthcare knowledge graphs by integrating patient, provider, claims, and clinical data to uncover patterns and drive actionable insights. Required and Preferred qualifications span graph databases, distributed graph processing, GML libraries, cloud and MLOps, research publication, and healthcare data familiarity. Location:
Office-based environment with collaboration across teams and external partners. Essential Responsibilities
Work directly with the business to understand processes and aims, identify how analytical solutions can deliver value, and be accountable for: outlining new use cases and high-level impact estimates, identifying data elements and sources (including proxies), and assembling data sets using Highmark data structures.
Deliver analytical solutions to multiple complex business problems simultaneously; document objectives, assumptions, and processes, and evolve standards as needed.
Select and apply appropriate advanced modeling techniques to these data sets to deliver business insight, demonstrating proficiency across a substantial set of methods (e.g., regression, tree-based methods, neural networks, clustering, NLP).
Consult with the business to contextualize results in accessible formats (written reports, presentations, data visualizations) that link analyses to business objectives and frontline workflow.
Plan, prepare, and deliver analyses largely independently, on-time and ready for production, including planning implementation routes.
Provide expertise and leadership on major projects within ED&A, fostering external credibility through conferences, white papers, and collaboration; mentor others.
Other duties as assigned or requested.
Education
Required Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master’s degree Preferred Doctoral degree (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or related field. Experience
Required 5 years of Data Science 3 years Data Science (if PhD) Preferred Deep Expertise in Graph Theory & Network Science: graph algorithms, knowledge graphs, and network analysis for complex systems. Advanced Graph Machine Learning (GML): design and optimization of GNNs, GCNs, and graph-specific models for node classification, link prediction, anomaly detection. Knowledge Graph Engineering: schema design, data ingestion, graph construction, data cleaning, entity resolution, Cypher/SPARQL queries. Graph Database & Platform Experience: experience with leading graph databases and distributed graph processing. GML Libraries & Frameworks: PyTorch Geometric, DGL, Spektral, StellarGraph. Cloud Platform & MLOps: deploying ML models and GML pipelines in cloud environments; MLOps practices. Research & Publication Acumen: track record of leading research or publications; translating concepts to prototypes. Healthcare Data Familiarity: familiarity with claims, clinical, EMR data and relevant ontologies (SNOMED CT, ICD) is a plus. Experimental Design & Rigor: experience designing robust experiments and interpreting results. Skills
Analysis of business problems/needs Analytical and logical reasoning Collaborative problem solving Data analysis with SQL, BigQuery Statistical analysis with Python, R Written & oral presentation skills Basic prototyping/front-end skills Compliance and Other
HIPAA and Privacy
Compliance: As a component of job responsibilities, employees may have access to confidential information and must comply with HIPAA, privacy policies, and information security guidelines. Adherence to the Code of Business Conduct and applicable laws is required. Disclaimers : This description indicates the general nature and essential duties; it may not include every duty or qualification. Pay
Range: Minimum $108,000.00 — Maximum $201,800.00 Base pay is determined by qualifications, experience, and other factors. The salary range may vary by location. Highmark Health and its affiliates prohibit discrimination based on protected status and are committed to accessibility. For accommodations, contact HR Services Online at HRServices@highmarkhealth.org. Req ID: J267786
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Company :
Highmark Health Job Description :
Lead Data Scientist, Research & Development, Graph Intelligence. The role leads in designing and evaluating graph-native analytical solutions in healthcare, focusing on network relationships, knowledge graphs, and Graph Machine Learning to address healthcare challenges such as patient pathways, disease progressions, treatment efficacy, fraud detection, and population health dynamics. This premier R&D position involves inventing and proving transformative graph analytics, building and enriching knowledge graphs, developing Graph Neural Networks (GNNs), graph convolutional networks (GCNs), graph attention networks (GATs), and other advanced network algorithms. Responsibilities include designing rigorous experiments, creating proof-of-concept models, and evaluating performance and interpretability for real-world applicability. You will work as a relational data innovator, identifying opportunities to construct healthcare knowledge graphs by integrating patient, provider, claims, and clinical data to uncover patterns and drive actionable insights. Required and Preferred qualifications span graph databases, distributed graph processing, GML libraries, cloud and MLOps, research publication, and healthcare data familiarity. Location:
Office-based environment with collaboration across teams and external partners. Essential Responsibilities
Work directly with the business to understand processes and aims, identify how analytical solutions can deliver value, and be accountable for: outlining new use cases and high-level impact estimates, identifying data elements and sources (including proxies), and assembling data sets using Highmark data structures.
Deliver analytical solutions to multiple complex business problems simultaneously; document objectives, assumptions, and processes, and evolve standards as needed.
Select and apply appropriate advanced modeling techniques to these data sets to deliver business insight, demonstrating proficiency across a substantial set of methods (e.g., regression, tree-based methods, neural networks, clustering, NLP).
Consult with the business to contextualize results in accessible formats (written reports, presentations, data visualizations) that link analyses to business objectives and frontline workflow.
Plan, prepare, and deliver analyses largely independently, on-time and ready for production, including planning implementation routes.
Provide expertise and leadership on major projects within ED&A, fostering external credibility through conferences, white papers, and collaboration; mentor others.
Other duties as assigned or requested.
Education
Required Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master’s degree Preferred Doctoral degree (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or related field. Experience
Required 5 years of Data Science 3 years Data Science (if PhD) Preferred Deep Expertise in Graph Theory & Network Science: graph algorithms, knowledge graphs, and network analysis for complex systems. Advanced Graph Machine Learning (GML): design and optimization of GNNs, GCNs, and graph-specific models for node classification, link prediction, anomaly detection. Knowledge Graph Engineering: schema design, data ingestion, graph construction, data cleaning, entity resolution, Cypher/SPARQL queries. Graph Database & Platform Experience: experience with leading graph databases and distributed graph processing. GML Libraries & Frameworks: PyTorch Geometric, DGL, Spektral, StellarGraph. Cloud Platform & MLOps: deploying ML models and GML pipelines in cloud environments; MLOps practices. Research & Publication Acumen: track record of leading research or publications; translating concepts to prototypes. Healthcare Data Familiarity: familiarity with claims, clinical, EMR data and relevant ontologies (SNOMED CT, ICD) is a plus. Experimental Design & Rigor: experience designing robust experiments and interpreting results. Skills
Analysis of business problems/needs Analytical and logical reasoning Collaborative problem solving Data analysis with SQL, BigQuery Statistical analysis with Python, R Written & oral presentation skills Basic prototyping/front-end skills Compliance and Other
HIPAA and Privacy
Compliance: As a component of job responsibilities, employees may have access to confidential information and must comply with HIPAA, privacy policies, and information security guidelines. Adherence to the Code of Business Conduct and applicable laws is required. Disclaimers : This description indicates the general nature and essential duties; it may not include every duty or qualification. Pay
Range: Minimum $108,000.00 — Maximum $201,800.00 Base pay is determined by qualifications, experience, and other factors. The salary range may vary by location. Highmark Health and its affiliates prohibit discrimination based on protected status and are committed to accessibility. For accommodations, contact HR Services Online at HRServices@highmarkhealth.org. Req ID: J267786
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