Note: The job is a remote job and is open to candidates in USA. Moffitt Cancer Center seeks a Manager, Data Science to lead its data science team in developing and supporting advanced analytics products, models, and decision-support solutions. The role translates organizational needs into prioritized analytics work and partners across technical, clinical, research, and operational teams to deliver scalable, compliant solutions.
Responsibilities
- Lead and supervise data scientists, including day-to-day assignments, priorities, deliverables, performance expectations, coaching, onboarding, training, and professional development
- Oversee the design, development, testing, documentation, implementation, support, monitoring, evaluation, and continuous improvement of advanced analytical models and solutions
- Guide the selection of statistical techniques, machine learning approaches, feature engineering, natural language processing, and model operationalization practices based on business needs
- Partner with technical teams to support analytics architecture, data pipelines, curated datasets, reusable analytical assets, deployment, maintenance, and secure analytics workflows
- Engage leaders, project sponsors, and data consumers to define scope, prioritize work, align solutions to organizational goals, and improve decision support
- Contribute to analytics strategy, roadmaps, governance forums, and opportunities to expand the value and efficiency of data science across the organization
Skills
- Master's degree in Data Science, Computer Science, Statistics, Bioinformatics, Health Informatics, Applied Mathematics, or a related field
- Minimum of seven (7) years of experience developing analytics products, models, tools, and systems in complex data environments, including three (3) years leading, mentoring, and supervising data scientists, analysts, and technical project teams
- Experience developing and implementing advanced analytical models and statistical or machine learning approaches
- Experience with enterprise data platforms, databases, cloud-based analytics environments, and regulated data environments with strong privacy, security, and compliance expectations
- Experience translating operational, clinical, or research needs into analytics solutions in partnership with technical and business stakeholders
- Strong knowledge of data science, statistical modeling, machine learning, analytics solution development, data governance, and analytics lifecycle management
- Excellent written and verbal communication, people leadership, coaching, performance management, cross-functional leadership, and agile or iterative project delivery skills
- Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, Health Informatics, Applied Mathematics, or a related field
- Experience in healthcare, academic medicine, biomedical research, or oncology-related analytics environments
- Experience supporting advanced analytics across clinical, research, or operational domains, including cloud-based services and production deployment patterns
- Experience with self-service analytics, cohort analysis, broad-use data products, health or clinical data structures, analytics strategy, roadmaps, and cross-functional governance
Benefits
- Eligible for an annual Team Member Incentive.
- Eligible for an annual Team Member Merit Increase.
- Provided an inclusive benefits package with health, financial, and lifestyle coverage.
- Work in an office/remote environment.
Company Overview
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