Principal Data Scientist Computer Vision

Key Skills

A/B Testing, Aartificial intelligence, API, Big Data Technology, Cloud computing, Computer Vision (CV), Data science techniques, DataOps, GPUs, Julia, Large Language Models - LLMs, Linear Programming, Machine learning techniques, MLOps tools, OpenAPI, Optimization, Python Programming, PyTorch, R Programming, Scikit-learn, SQL, Statistical modeling, Statistics, TensorFlow

Job Description

Position Summary

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care. The Principal Data Scientist is a critical role in helping us achieve this goal by architecting and implementing a broad range of data science solutions to improve patient outcomes.

This is a data science practitioner role with a solid academic and engineering background. He/she will maintain a balance between building principled, mathematically rigorous solutions, and launching them through agile product development. He/She will be the resident expert on Computer Vision applied to medical imaging and related multi-modal and temporal datasets.

Key Responsibilities

• Lead research, strategy, design and implementation of computer vision products from incubation to deployment.
• Train medical image analytics models leveraging large temporal datasets of multiple modalities to predict patient outcomes, support care decisions, optimize treatment plans, and monitor progress.
• Build real-time data ingestion and machine learning inferencing pipelines to trigger timely alerts based on patient and facility conditions.
• Integrate AI based decision support into the care provider’s workflow.
• Develop the capability roadmap and inform investment decisions on industrial and academic partnerships.
• Provide thought leadership and research on near-term and long-term healthcare opportunities to be unlocked by the recent advances in large models and the underlying Transformer/Attention architecture.
• Understand and apply all aspects of data science with expert sophistication. Perform descriptive, exploratory and inferential statistical analysis as well as supervised and unsupervised machine learning.
• Act as the subject matter expert on feasible and aspired model performance KPIs. Define acceptance criteria for sprint completion and track iterative improvement. Provide guidance on diminishing returns.
• Develop and implement algorithms and models to analyze large-scale healthcare data sets, including unstructured notes, electronic health records, claims data, and patient-generated data.
• Perform feature engineering & modeling with multi-modal data. Produce high quality, modular, reusable code that incorporates coding best practices and serves as an example for the broader data science community within the organization.
• Design and implement highly scalable applications that take advantage of cloud native infrastructure and platform services.
• Work collaboratively with DataOps/MLOps team to automate drift detection and A/B testing.
• Lead various design and code review activities.
• Define and steer the implementation of processes and standards for Machine Learning tools, code, testing, and product deployment.
• Train and mentor others with respect to advanced Data Science/AI/Machine Learning techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data
• Science development and solutions.
• Identify new, strategic requirements for data and lead the process of acquisition and productization.
• Lead discussions and presentations in leadership forums.
• Work both independently and as a lead of multi-disciplinary teams.
• Utilize strategies and tactics to arbitrate, mediate, or reconcile conflicts or resistance to change.
• Anticipate potential adverse events and problems: guide conversation and solution amongst peers and partners across the enterprise. Lead troubleshooting activities.

Education:

• Bachelor Degree - Required
• Master Degree - Required
• PhD- preferred

Knowledge:

Required:

• 10+ years of experience in applied data science over a broad range of usecases.
• 5+ years of experience in computer vision and medical imaging.
• 3+ years of experience in building big data and machine learning pipelines in cloud and edge environments incorporating human-in-the loop.
• 2+ years of experience in engineering realtime inference pipelines.
• 2+ years of experience with API integration and reliability engineeering.
• Academic or project experience with the modern Transformer/Attention architecture for medical image summarization and diagnosis support.
• Experience with common computer vision models such as YOLO, EfficientDet, DeepSort, Fairmot etc.
• Familiarity with emerging LLM products from Open AI, Google and other industry
• leaders.
• Expert in SQL, Python/R/Julia and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with GPU cost optimization
• Experience with advanced statistical modeling and machine learning techniques, such as regression analysis, decision trees, deep learning, and reinforcement learning.
• Familiarity with healthcare data sources and standards, such as electronic health records, claims data, and clinical terminologies.
• Familiarity with healthcare regulations, ethical aspects and compliance requirements.
• Experience with data de-identification and synthetic data generation.
• Open to new ideas from team members. Ability to disagree and commit when needed.
• Excellent communication skills to interface with various technical and non-technical stakeholders.
• Ability to tell a story using data and insights that drives action and change.
• Passion for healthcare research and a desire to make a positive impact on patient outcomes.
• Intellectual curiosity

Preferred:

• Thought leadership in healthcare data science through publications, conference presentations, and participation in collaboration forums like Kaggle.
• Experience with conducting and participating in hackathons.
• Experience with GCP Imaging Suite.
• Computing with 3D point cloud.
• Familiarity with the legal aspects of using open source and proprietary IP.
• Proficiency in handling HL7, FHIR and DICOM protocols

Travel:

• The job may require up to 25% travel.

HCA Healthcare (Corporate), based in Nashville, Tennessee, supports a variety of corporate roles from business operations to administrative positions. Like our colleagues in any HCA Healthcare hospital, our corporate campus employees enjoy unparalleled resources and opportunities to reach their potential as healthcare leaders and innovators. From market rate compensation to continuing education and career advancement opportunities, every person has a solid foundation for success. Nashville is also home to our Executive Development Program, where exceptional employees are groomed to take on CNO- and COO-level roles in our hospitals. This selective program focuses on ethics, leadership and the financial and clinical knowledge required of professionals at this level of the industry.

HCA Healthcare has been recognized as one of the World’s Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.