Job title: Data Scientist

Location: Miami, Florida

Type: Full time

Our client is seeking a talented Data Scientist to drive insights from complex clinical and operational data using advanced analytics, machine learning, and AI techniques. This role partners closely with clinical, research, and operational stakeholders to support data‑driven decision‑making, precision medicine initiatives, and improved patient outcomes.

What You’ll Do

Apply machine learning, AI, and natural language processing to structured and unstructured healthcare data
Analyze electronic health records, clinical, genomics, and enterprise operational data to generate actionable insights
Develop predictive models that integrate biomarkers, clinical outcomes, and multi‑omics data to support personalized care
Build scalable data pipelines and utilize graph data technologies to uncover complex relationships across datasets
Collaborate with data engineering and IT teams to deploy models for real‑time decision support, risk stratification, and operational optimization
Design, validate, and maintain analytical models supporting clinical decision‑making and outcome prediction
Ensure compliance with healthcare regulations, privacy standards, and research ethics requirements
Partner with clinicians, researchers, and business teams to translate analytical needs into technical solutions
Document analytical methodologies and ensure transparency, accuracy, and reproducibility
Provide technical guidance and share best practices in healthcare data science and analytics

What We’re Looking For

Bachelor’s degree in Data Science, Statistics, Computer Science, Biostatistics, Bioinformatics, or a related field
3–5 years of experience in data science, preferably within healthcare or life sciences
Hands‑on experience working with healthcare data such as EHRs, clinical systems, or enterprise operational data
Strong background in statistical modeling, machine learning, and data visualization
Proficiency in Python, R, and SQL
Familiarity with large language models, NLP techniques, and advanced analytics tools
Experience with graph databases, vector databases, and modern data platforms is a plus
Exposure to precision medicine, genomics, or personalized healthcare analytics preferred
Experience with cloud platforms and big data or distributed computing frameworks
Strong understanding of healthcare data privacy, compliance, and regulatory standards
Excellent communication skills with the ability to explain complex insights to technical and non‑technical audiences
Ability to manage multiple projects in a fast‑paced, collaborative environment

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