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Manager Implementation Science Jobs in Jacksonville, FL

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... It also requires exposure to data science, and associated software and programming technologies.

... Networks Implementing processes that improve and lead to greater data quality Conducting ... managing, and maintaining analytically rigorous data Possessing a solid machine learning foundation ...

Quality Manager

Jacksonville, FL · On-site

$90K - $130K/yr

... or Science The Quality Manager will oversee endtoend manufacturing and fabrication of water ... Implement relevant quality checks and processes (e.g., PPAP) ISO 9001 Leadership: * Lead the ...

... Implementing processes that improve and lead to greater data quality • Conducting statistical ... managing, and maintaining analytically rigorous data • Possessing a solid machine learning ...

... science challenges. Join us and make an impact! About the Role: We are looking for a leader to ... for implementation excellence across delivery quality, milestone discipline, risk management ...

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... Bachelor's degree in Data Science, Computer Science, or Computer Information Systems * Ability to ...

Scientist

Jacksonville, FL · On-site

$28/hr

If you love pushing the boundaries of science and want your work to genuinely impact people's lives ... Beyond testing, you'll help develop and implement new test methods, support method validation, and ...

Showing results 41-60

Manager Implementation Science information

See Jacksonville, FL salary details

$36.1K

$95.9K

$155.7K

How much do manager implementation science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager implementation science in Jacksonville, FL is $95,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $112,100.00 per year, depending on experience, location, and employer.

What is a Manager Implementation Science?

A Manager Implementation Science is a professional who leads and coordinates projects that translate scientific research into practical applications, particularly in healthcare, public health, or organizational settings. Their role involves overseeing teams, designing strategies to implement evidence-based practices, evaluating outcomes, and ensuring interventions are effectively integrated into real-world environments. They often bridge the gap between research and practice by collaborating with stakeholders, analyzing data, and promoting continuous improvement. This position requires strong leadership skills, expertise in implementation science methodologies, and experience in project management.

What are the key skills and qualifications needed to thrive as a Manager Implementation Science?

To thrive as a Manager Implementation Science, you need advanced knowledge in implementation science methodologies, research design, and project management, typically supported by a master's or doctoral degree in public health, healthcare, or a related field. Familiarity with data analysis software (e.g., SPSS, R), evidence-based practice frameworks, and experience with grant writing or regulatory requirements is often required. Strong leadership, communication, and stakeholder engagement skills help drive adoption of research findings across interdisciplinary teams. These skills ensure effective translation of evidence into practice, improving organizational outcomes and advancing public health initiatives.

What are some common challenges faced by a Manager Implementation Science when leading cross-functional teams?

As a Manager Implementation Science, you may encounter challenges such as aligning diverse stakeholders with varying priorities, translating complex research findings into actionable strategies, and ensuring consistent communication across departments. Successfully navigating these challenges often requires strong project management skills, the ability to foster collaboration, and a talent for bridging the gap between research and practice. Building trust and clarity among team members is key to effective implementation and achieving organizational goals.

What is the difference between Manager Implementation Science vs Implementation Specialist?

AspectManager Implementation ScienceImplementation Specialist
Required CredentialsBachelor's or Master's in Public Health, Healthcare, or related field; experience in implementation scienceBachelor's degree; experience in healthcare or program implementation
Work EnvironmentOversees teams, develops strategies, manages projects in healthcare or research settingsSupports implementation activities, conducts training, assists in project execution
Employer & Industry UsageHealthcare organizations, research institutions, public health agenciesHealthcare providers, public health programs, community organizations

The Manager Implementation Science typically has a broader leadership role, overseeing implementation projects and teams, while the Implementation Specialist focuses on supporting and executing specific implementation activities. Both roles require relevant experience, but the manager often has more strategic responsibilities and higher qualifications.

What are the most commonly searched types of Implementation Science jobs in Jacksonville, FL?

The most popular types of Implementation Science jobs in Jacksonville, FL are:

What are popular job titles related to Manager Implementation Science jobs in Jacksonville, FL?

For Manager Implementation Science jobs in Jacksonville, FL, the most frequently searched job titles are:

What job categories do people searching Manager Implementation Science jobs in Jacksonville, FL look for?

The top searched job categories for Manager Implementation Science jobs in Jacksonville, FL are:

Information Technology_USA - USA_Data Scientist

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Local to Cary NC only!
Key Responsibilities:
• Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solution for marketing and business engagement use cases
• Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
• Planning and Business alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives.
• Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
• Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
• Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
• Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
• Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams.
• Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
• Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning.
• ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Essential Business Experience and Technical Skills:
Required:
• Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• 8+ years of overall experience in AI/ML engineering and/or data science.
• 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
• Proven experience designing, deploying, and operating production ML and/ or GenAI solutions, including APIs, batch, and real-time inference.
• Experience in developing Machine Learning models using Python (preferably in the cloud)
• Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
• Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
• Experience with Dominos, Power BI, and/or Azure ML
• Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction.
• Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes
• Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results
• Very good problem solver and excellent communication skills - both written and verbal
Preferred:
• Experience with employee benefits plans is a plus
• Hands-on experience with cloud platforms (Azure/Databricks).
• Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
• Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications.
• Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.
Role Descriptions: Data Science
Essential Skills: Data Science
Desirable Skills:
Keyword:
Skills: Digital : Data Science
Experience Required: 8-10