Data Scientist

SoTalent • Full-time • Miami, FL, US • $80k - $96k / year • 7h ago

Our client is seeking a data-driven professional with a strong foundation in analytics and machine learning to join our healthcare analytics team. This role will focus on transforming complex health, genomic, operational, and financial data into actionable insights to support clinical care, research initiatives, and operational efficiency. You’ll collaborate across departments, helping to implement data science solutions that drive innovation in personalized medicine and healthcare delivery.

Key Responsibilities

Apply advanced statistical, AI, and machine learning techniques to both structured and unstructured data sets in a clinical context.
Develop predictive tools that integrate diverse datasets, such as genomics, lab values, and patient histories, to support personalized treatment planning.
Build scalable pipelines and leverage graph-based data structures to explore patient-treatment-outcome relationships.
Work with IT and engineering teams to deploy models that support clinical workflows, real-time decision-making, and operational resource allocation.
Create tools for clinical risk assessment and patient stratification, specifically within pediatric or specialized healthcare populations.
Ensure all work aligns with data privacy regulations, institutional review board (IRB) policies, and healthcare compliance standards.
Act as a liaison between technical teams and stakeholders, translating needs into data-driven strategies and communicating findings clearly.
Maintain thorough documentation of modeling techniques, data sources, and analysis pipelines to ensure reproducibility.
Support team development through knowledge-sharing and technical mentoring in healthcare analytics methodologies.

Required Qualifications

Bachelor’s degree in data science, computer science, statistics, bioinformatics, or a related quantitative discipline.
3–5 years of experience in a data science or analytics role, preferably within healthcare, biomedical, or life sciences settings.
Strong background working with electronic health records (EHRs), medical data systems, or enterprise resource planning (ERP) tools.
Demonstrated ability to apply predictive modeling and data mining techniques in real-world healthcare use cases.

Preferred Qualifications & Skills

Master’s degree in a quantitative or healthcare data-related field is a plus.
Proficiency with Python, R, and SQL for data analysis and model development.
Hands-on experience with natural language processing (NLP), particularly in clinical or research contexts.
Familiarity with graph database systems (e.g., Neo4j, Neptune) and vector-based storage systems (e.g., Pinecone).
Exposure to genomics data, bioinformatics tools, or personalized medicine programs.
Knowledge of cloud computing and distributed data systems (AWS, Azure, GCP).
Understanding of healthcare compliance frameworks such as HIPAA, clinical data governance, and research ethics.
Experience integrating multiple data streams, including medical coding standards (ICD-10, CPT, SNOMED).
Excellent communication and collaboration skills, with the ability to translate complex analytics into practical applications.
Strong project management skills with the ability to prioritize and manage multiple tasks effectively.

Please note: This job posting is just a preview of the full scope of the position. A comprehensive job description is shared by a member of our team.