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Science Program Manager Jobs in Connecticut (NOW HIRING)

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Science Program Manager information

What does a Science Program Manager do?

A Science Program Manager oversees the planning, coordination, and execution of scientific projects and programs. They work closely with research teams, stakeholders, and funding agencies to ensure that projects meet their objectives, stay within budget, and adhere to timelines. Their responsibilities often include grant management, facilitating communication between different departments, and ensuring compliance with regulatory standards. Science Program Managers play a key role in translating scientific goals into actionable plans and helping organizations achieve their research and development objectives.

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

To excel as a Science Program Manager, you need a strong background in scientific research or project management, typically supported by an advanced degree in a scientific field. Familiarity with project management tools (e.g., Microsoft Project, Asana) and certification such as PMP can be highly valuable. Excellent communication, leadership, and organizational skills are crucial for managing teams and coordinating across departments. These skills ensure effective alignment of scientific objectives, timely project delivery, and successful collaboration among stakeholders.

How does a Science Program Manager typically collaborate with researchers and cross-functional teams?

Science Program Managers play a crucial role in connecting researchers with other departments such as engineering, product development, and regulatory affairs. They coordinate project timelines, facilitate communication among stakeholders, and help resolve scientific or logistical challenges that arise during research initiatives. Regular meetings, status updates, and collaborative planning sessions are typical, allowing the Program Manager to ensure that projects remain aligned with broader organizational goals while supporting the innovative work of research teams.

What is the difference between Science Program Manager vs Research Scientist?

AspectScience Program ManagerResearch Scientist
CredentialsBachelor's or Master's in Science, project management certifications often preferredAdvanced degree (Master's or PhD) in a scientific field
Work EnvironmentProject coordination, cross-functional teams, administrative tasksLaboratory research, data analysis, experimental work
Employer & IndustryResearch institutions, biotech, pharma, government agenciesUniversities, research labs, industry R&D
Search & Comparison IntentUnderstanding project management roles in scienceScientific research and experimental work

The main difference is that a Science Program Manager oversees scientific projects, coordinating teams and resources, while a Research Scientist conducts experiments and generates scientific data. Both roles require strong scientific credentials, but their daily tasks and focus differ significantly.

Are science program managers in high demand?

Science program managers are in high demand due to the growth of research initiatives, government funding, and private sector innovation. They often require strong project management skills, knowledge of scientific processes, and relevant certifications, making their roles critical in coordinating complex scientific projects across various industries.

What are popular job titles related to Science Program Manager jobs in Connecticut?

For Science Program Manager jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Science Program Manager jobs in Connecticut look for?

The top searched job categories for Science Program Manager jobs in Connecticut are:

Science Program Manager jobs near you
Infographic showing various Science Program Manager job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Program Manager with GenAI at Hartford, CT

Tekshapers Inc

Hartford, CT • On-site

Other

Re-posted 9 days ago

Job description

Technical Program Manager AI Center of Enablement Position Overview Seeking a highly skilled and experienced Technical Program Manager for AI Center of Enablement The ideal candidate will work closely with various departments to manage the execution of proposed AI experiments and use cases This role involves analyzing the value delivered by AI use cases ensuring architecture reviews are conducted delivery checklists are followed and AI guardrails are metThe Technical Program Manager will play a critical role in driving the successful implementation of AI initiatives across the organization Key Responsibilities AI Use Case Analysis Analyze the value delivered by AI use cases assessing both quantitative and qualitative benefits Work with finance controllers to validate the financial value calculations of AI use cases Provide regular reports and updates to stakeholders on the performance and outcomes of AI projects Architecture Review Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture review findings and recommendations for continuous improvement Delivery Management Oversee the execution and delivery of AI projects ensuring adherence to project timelines budgets and quality standards Implement and enforce delivery checklists to ensure all critical steps and requirements are met Coordinate with cross functional teams including data scientists engineers and product managers to ensure successful project delivery AI Governance Ensure that all AI projects comply with established AI guardrails including ethical guidelines data privacy and security standards Implement monitoring and auditing mechanisms to track compliance with AI governance policies Develop and maintain documentation for AI governance including model validation testing and deployment protocols AI Model Capacity Management Manage the capacity and scalability of AI models to ensure optimal performance and resource utilization Monitor and forecast AI model capacity needs adjusting as necessary to meet project demands Collaborate with infrastructure and operations teams to ensure the AI platform can support current and future model requirements Stakeholder Collaboration Facilitate effective communication and collaboration among cross functional teams and stakeholders Conduct regular meetings and workshops to gather feedback address concerns and ensure alignment on project goals and priorities Act as a liaison between business units and technical teams translating business requirements into technical specifications Continuous Improvement Identify opportunities for process improvements and efficiencies in AI project management and delivery Stay up to date with the latest advancements in AI technology and best practices continuously seeking ways to enhance the AI Center of Enablement Foster a culture of innovation and continuous learning within the team encouraging the exploration of new technologies and methodologies Value Calculation Financial Validation Collaborate with finance controllers to validate the financial value calculations of AI use cases Ensure accurate and transparent reporting of the financial impact of AI projects

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.