Lead Data Scientist - Research and Development - Graph Intelligence

Highmark Health; Brasil; Teletrabalho; USD 108.000 - 202.000; Tempo integral

Resumo da oferta

A leading healthcare organization in Brazil is seeking a Lead Data Scientist specializing in Graph Intelligence. The role involves pushing boundaries in advanced analytics, developing innovative graph-native solutions, and collaborating with business teams to deliver actionable insights. Candidates should have a master's degree and extensive experience in data science and graph theory. This office-based position includes up to 25% travel and offers a competitive salary.

Qualificações

• Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, or Engineering Technology.
• 5 years of Data Science experience or 3 years with a PhD.
• Deep expertise in graph theory and healthcare data domains.

Responsabilidades

• Work with business to identify analytical solutions.
• Select and apply advanced machine learning techniques.
• Deliver insights through reports and presentations.
• Plan and deliver analyses timely.
• Serve as a subject matter expert and mentor.

Conhecimentos

Business problem analysis

Data analysis with SQL

Statistical analysis with Python

Collaboration

Presentation skills

Formação académica

Master's degree in related field

Doctoral degree (Ph.D.) in relevant fields

Ferramentas

SQL

BigQuery

Python

R

Descrição da oferta de emprego

Company : Highmark Health

Job Description :

JOB SUMMARY

Are you an architect of interconnected data, driven by the belief that relationships hold the key to uncovering society's most complex challenges? Do you see medical records not just as disparate facts, but as a vast, dynamic network of patient journeys, disease progressions, and treatment efficacy? Highmark Health is seeking a groundbreaking Lead Data Scientist, Research & Development, specializing in Graph Intelligence, who will not just work with graph data, but will define the future of how we harness relational insights in healthcare.

This is a premier R&D position where you will lead the charge in inventing and proving out transformative graph-native analytical solutions. Your core mission is to push the boundaries of what's possible in advanced analytics by pioneering novel methodologies that leverage network science, knowledge graphs, and Graph Machine Learning (GML) to solve critical problems across the healthcare continuum. From personalizing patient care pathways to detecting complex fraud rings and understanding population health dynamics, your work will directly impact millions of lives.

As our Lead Graph Intelligence specialist, you will be the spearhead of cutting-edge research projects. This means deeply engaging with graph theory, building and enriching large-scale knowledge graphs, and developing next-generation Graph Neural Networks (GNNs), graph convolutional networks (GCNs), graph attention networks (GATs), and other advanced network algorithms. You'll architect unique graph embeddings, perform sophisticated link prediction, community detection, and anomaly detection on complex healthcare data. Your responsibilities will include designing rigorous experiments, building robust proof-of-concept models, and meticulously evaluating the performance and interpretability of these novel graph algorithms to ensure their real-world applicability.

You are not merely a data scientist; you are a relational data innovator with a strategic mindset. You inherently understand that the explicit modeling of entities and their relationships unlocks a deeper layer of intelligence that traditional tabular or sequential data models cannot. You will proactively identify opportunities to construct and leverage comprehensive healthcare knowledge graphs, integrating diverse patient, provider, claims, and clinical data to uncover hidden patterns, propagate insights through networks, and develop groundbreaking analytical solutions that exploit the rich, multi-modal structures within healthcare.

Leveraging your profound expertise in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune, Ontotext GraphDB), distributed graph processing frameworks (e.g., Apache Spark GraphX, Dask-Graph), and leading GML libraries (e.g., PyTorch Geometric, DGL, Spektral), you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures. You will drive initiatives from theoretical concept to validated, scalable prototypes. You are a vigilant scout of the graph AI landscape, continuously scanning, rigorously evaluating, and championing the adoption of emerging graph platforms, algorithms, and tools. Furthermore, you will actively foster collaborations with leading academic institutions, healthcare research experts, and the broader graph community. Your contributions will extend to publishing seminal research findings in top-tier conferences and leading the dialogue on the transformative power of graph intelligence in healthcare.

ESSENTIAL RESPONSIBILITIES

• Work directly with the business to understand their processes and aims, then identify how analytical solutions could help deliver value. This includes:
• Outlining complex use cases and creating high-level impact estimates.
• Identifying necessary data elements and sources (including proxies).
• Assembling datasets independently using knowledge of Highmark's operational and analytic data structures.
• Delivering analytical solutions for multiple complex business problems.
• Documenting objectives, assumptions, processes, and expanding standards as needed.

• Select and apply appropriate advanced modeling/machine learning techniques to these datasets to deliver insights, ensuring accuracy and proper documentation. This requires:
• Proficiency in a range of advanced analytical techniques and mastery of a few, demonstrated by experience (e.g., regression, tree-based models, neural networks, NLP, clustering).

• Consult with the business to contextualize and communicate results effectively through reports, presentations, and visualizations. Draw clear links between high-level problems, analyses, and business objectives, leading to actionable insights.

• Plan, prepare, and deliver multiple analyses independently, ensuring timely and high-quality delivery suitable for production, including identifying implementation pathways.

• Be the subject matter expert and the face of major projects within ED&A, contribute to external credibility through conferences, white papers, and collaborations, and mentor others.

• Perform other duties as assigned.

EDUCATION

Required

• Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field OR Bachelor's Degree + 3 years relevant experience.

Preferred

• Doctoral degree (Ph.D.) in the relevant fields.

EXPERIENCE

Required

• 5 years of Data Science experience
• 3 years if holding a PhD

Preferred

• Deep expertise in graph theory, network science, GML, graph databases, and healthcare data domains.

LICENSES OR CERTIFICATIONS

• None required or preferred.

Skills

• Business problem analysis, reasoning, collaboration
• Data analysis with SQL, BigQuery
• Statistical analysis with Python, R
• Presentation skills
• Basic prototyping/front-end skills

Additional Information

Position is office-based with travel up to 25%. Physical demands include lifting up to 25 pounds occasionally. The role involves regular teaching, occasional site visits, and adherence to ethical and legal standards, including HIPAA and company policies. Salary ranges from $108,000 to $201,800 based on experience and location. Highmark Health is an equal opportunity employer. For accommodations, contact HR Services Online at [e-mail].