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Implementation Science Jobs in California (NOW HIRING)

Raymond West

Implementation Specialist

Cypress, CA · On-site

$70K - $75K/yr

The Implementation Specialist will install software from various vendors in support of iWAREHOUSE ... Associates Degree in Computer Science is preferred * Five years related experience and/or training ...

ISCS

Software Implementation Engineer

San Jose, CA

Implementation Engineers within our Advanced Engineering, Interface and Customization groups are ... Bachelor's Degree in Computer Science or similar * Knowledge of Java and XML * Experience with an ...

ISCS

Software Implementation Engineer

San Jose, CA · On-site

Implementation Engineers within our Advanced Engineering, Interface and Customization groups are ... Bachelor's Degree in Computer Science or similar * Knowledge of Java and XML * Experience with an ...

River Partners

Science Director

Sacramento, CA · On-site

... Implementation Teams: • Provide guidance and oversight for restoration project proposals and ... Science Director 580 Vallombrosa Ave Chico CA 95926 Videos To Watch

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$38.5K

$102.2K

$165.8K

How much do implementation science jobs pay per year?

As of May 30, 2026, the average yearly pay for implementation science in California is $102,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $119,400.00 per year, depending on experience, location, and employer.

What is an Implementation Science job?

An Implementation Science job focuses on studying and applying methods to promote the adoption, integration, and sustainability of evidence-based practices in real-world settings. Professionals in this field work to bridge the gap between research and practical application by identifying barriers, developing strategies, and evaluating outcomes. These roles are common in healthcare, public health, and social services, where improving effectiveness and efficiency of interventions is critical. Responsibilities may include research, program evaluation, stakeholder engagement, and policy development.

What are the key skills and qualifications needed to thrive in the Implementation Science position, and why are they important?

To excel in Implementation Science, a solid background in research methodology, data analysis, and health systems is generally required, often supported by an advanced degree in public health, medicine, or a related field. Experience with statistical software (such as SPSS, R, or SAS), implementation frameworks (like RE-AIM or CFIR), and relevant certifications in evidence-based practice are beneficial. Strong project management, collaboration, and stakeholder engagement skills help set top candidates apart. These skills and qualities enable professionals to effectively translate research into practical interventions and drive sustainable improvements in real-world settings.

What are typical projects or day-to-day responsibilities in an Implementation Science role?

Professionals in Implementation Science commonly design, manage, and evaluate projects that translate research findings into practice across healthcare or community settings. This could include collaborating with clinical teams to pilot new interventions, conducting data analysis to assess outcomes, and producing reports or recommendations for stakeholders. Daily tasks often involve coordinating with multidisciplinary teams, leading training sessions, and ensuring ongoing fidelity to evidence-based models. The role emphasizes both independent research and teamwork, making it dynamic and impactful for those interested in improving systems and outcomes.
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Implementation Science jobs near you
AI Implementation Engineer

AI Implementation Engineer

Altos Labs

San Francisco, CA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary:
Altos Labs is a leading biotechnology company focused on restoring cell health through innovative approaches. They are seeking a hands-on AI Implementation Engineer to build a robust AI ecosystem, enabling effective adoption of AI tools across the organization and facilitating collaboration among scientific and corporate teams.
Responsibilities:
• Collaborate with Altos leadership to identify requirements, develop rollout strategies, and maintain an enterprise AI roadmap.
• Perform technical due diligence on new AI tools and platforms.
• Collaborate with IT, Cybersecurity, and Legal to validate security and compliance, ensuring a secure and standardized onboarding process.
• Design, build, and maintain the core infrastructure for our AI tools.
• Develop telemetry systems, implement strategies for managing compute resources, and create automated workflows for reporting on usage and cost.
• Develop technical documentation, tutorials, and best-practice guides to support our teams.
• Establish and promote standards for the responsible and efficient use of AI tools.
• Build and manage the systems that provide key metrics on AI tool adoption, cost, and impact.
• Ensure data is accessible and provides actionable insights for technical and business stakeholders.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Proven experience building and implementing technology infrastructure, particularly for enterprise-wide software.
• Hands-on experience with cloud platforms (AWS/GCP) and building data pipelines for telemetry and cost analysis.
• A strong working knowledge of the current AI landscape, including generative AI models, platforms, and their enterprise applications.
• Demonstrated ability to work effectively with diverse teams, including IT, security, legal, and research departments.
• Excellent written and verbal communication skills, with experience creating technical documentation and communicating project status.
Preferred:
• Direct experience with the technical integration or rollout of AI tools (e.g., Claude Enterprise, ChatGPT, Copilot) and LLM APIs.
• Experience contributing to or managing technology governance and best-practice frameworks.
• A background working in a scientific, biotech, or research-focused environment.
• Familiarity with Responsible AI principles and frameworks.
Company:
Altos Labs focuses on cellular rejuvenation programming to restore cell health and resilience, to reverse disease to transform medicine. Founded in 2021, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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