Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
About the role
- Staff R&D Engineer – Data Science developing advanced AI solutions for Smith+Nephew's product portfolio. Collaborating with teams to implement innovative AI technologies in healthcare applications.
Responsibilities
- Researching and evaluating cutting‑edge AI technologies—including generative AI, LLMs, and deep learning—and rapidly translating them into functional prototypes and proof‑of‑concept implementations.
- Building, training, and fine‑tuning machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Keras, Scikit‑learn, and other emerging toolkits.
- Designing and implementing scalable data pipelines, preprocessing workflows, and feature engineering steps that support experimentation and model development.
- Developing end‑to‑end prototype systems—including data ingestion, model execution, evaluation, and visualization—to demonstrate feasibility and performance of new AI capabilities.
- Running structured experiments, benchmarking models, and validating technical performance using statistical methods, simulation tools, and experimental datasets.
- Creating internal tools, scripts, and interfaces that allow team members to test, interact with, and evaluate AI‑driven functionalities.
- Collaborating with R&D, engineering, and product teams to integrate prototype AI components into existing software environments, instruments, or clinical workflows.
- Documenting technical findings, experiment results, and model performance to support next‑step development, regulatory considerations, and engineering decisions.
- Mentoring team members on implementation techniques, best practices for data preparation, model tuning, and software engineering for AI systems.
- Communicating complex technical results—model behavior, limitations, assumptions, and experimental outcomes—to stakeholders across technical and non‑technical teams.
- Work in a collaborative, fast-paced, multidisciplinary environment.
Requirements
- Bachelor's Degree in Data Science, Artificial Intelligence, Computer Science, or a related field required with 8+ years of experience applying AI/ML in R&D or product innovation.
- PhD in Data Science, Artificial Intelligence, Computer Science, or a related field preferred
- Demonstrated experience leading AI initiatives in a research or commercial environment.
- Expertise in machine learning, deep learning, and statistical modeling.
- Advanced programming skills in Python and familiarity with frameworks such as Scikit-learn, TensorFlow, NumPy, Pandas, PyTorch, or Keras.
- Strong understanding of data architecture, preprocessing, and feature extraction techniques.
- Proven ability to translate AI capabilities into real-world solutions with measurable business impact.
- Experience working with healthcare or regulated products is a plus.
- Excellent communication skills and the ability to influence cross-functional stakeholders and decision-makers.
Benefits
- 401k Matching Program
- 401k Plus Program
- Discounted Stock Options
- Tuition Reimbursement
- Flexible Personal/Vacation Time Off
- Paid Holidays
- Flex Holidays
- Paid Community Service Day
- Medical
- Dental
- Vision
- Health Savings Account (Employer Contribution of $500+ annually)
- Employee Assistance Program
- Parental Leave
- Fertility and Adoption Assistance Program
- Discounts on fitness clubs, travel and more!
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