Data Scientist

Pediatric Associates • Full-time • Plantation, Florida, United States • 3d ago

PRIMARY FUNCTION

The Data Scientist is responsible for researching, developing, and implementing advanced machine learning and Generative AI (GenAI) solutions to support healthcare innovation. With a strong foundation in computer science, predictive modeling, and large language models (LLMs), this role focuses on building and deploying AI solutions that enhance clinical outcomes, optimize operations, and improve member/patient engagement. The scientist will work closely with engineering, clinical, and business teams to design models, validate performance, and translate technical advancements into measurable business and clinical impact.

ESSENTIAL DUTIES AND RESPONSIBILITIES

This list may not include all of the duties that may be assigned.

Design, train, and evaluate AI models for various pediatric health use cases.

Conduct in-depth data exploration, feature engineering, and hypothesis testing to drive outcomes and insights.

Build ML pipelines and implement models into production environments (Azure ML, Databricks MLflow, or similar MLOps frameworks).

Research and implement state-of-the-art techniques in deep learning, NLP, reinforcement learning, and generative AI for healthcare-specific applications.

Work cross-functionally with clinicians, quality leaders, and engineers to identify AI opportunities and integrate solutions into workflows.

Define metrics, validate results, and continuously monitor models to ensure accuracy, fairness, and clinical/business impact.

Apply explainability, fairness, and bias monitoring frameworks to ensure models are ethical, transparent, and compliant with healthcare regulations.

QUALIFICATIONS

EDUCATION:

PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related discipline preferred, master’s degree required.
Strong academic and/or applied research background in ML/AI (publications or demonstrable projects in predictive modeling, NLP, or GenAI preferred).

EXPERIENCE:

3–6+ years of experience (post-PhD) in data science, AI/ML, or related fields required.
Hands-on expertise with predictive modeling techniques (regression, ensemble methods, time-series forecasting, survival analysis).
Practical experience with LLMs and transformers (GPT, BERT, Hugging Face, or similar) including fine-tuning and prompt engineering.
Proficiency with deep learning frameworks such as TensorFlow, PyTorch, and NLP/GenAI libraries.
Experience with healthcare datasets (claims, EHR, quality, population health) and healthcare-specific KPIs tied to value based care (VBC).
Familiarity with MLOps practices and tools for model deployment, monitoring, and lifecycle management (Azure ML, Databricks MLflow, Kubeflow).
Experience with SQL, Python, R, and distributed data processing (Spark, Databricks).

KNOWLEDGE, SKILLS AND ABILITIES

Deep knowledge of ML algorithms, neural networks, LLMs, and GenAI techniques.
Understanding of healthcare data, interoperability standards (FHIR, HL7), and value-based care models.
Ability to translate complex business/clinical problems into AI solutions and iterate quickly on prototypes.
Strong curiosity, ability to stay current with cutting-edge AI/ML/GenAI literature and apply it to real-world healthcare.
Comfortable working in multi-disciplinary teams and explaining technical concepts to non-technical audiences.
Strong awareness of ethics, transparency, fairness, and compliance in healthcare AI.
Ability to clearly present findings, model performance, and AI strategy to peers, leaders, and clinicians.

TYPICAL WORKING CONDITIONS

Non-patient facing
May be either full time remote/telework or rotate working in the office and remote/telework
If remote, this job must be U.S. based
Indoor work; professional office environment
Operating computer
Reach outward

OTHER PHYSICAL REQUIREMENTS

Vision
Sense of sound
Sense of touch

Performance Requirements

Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.

The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with the job. It is intended to be an accurate reflection of the general nature of level of the job.

Pediatric Associates Family of Companies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age (40 or older), disability, or genetic information (including family medical history). We are committed to providing reasonable accommodations to individuals with disabilities and to ensuring a fair and inclusive hiring process."

Location: Pediatric Associates · Business Analytics
Schedule: Full Time, Days