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Implementation Science Jobs in Arizona (NOW HIRING)

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

... implementation. * Effective Teaching Methods: Ability to identify concepts students commonly ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Guides students through implementing searching and sorting algorithms, designing class hierarchies ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

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Showing results 1-20

Implementation Science information

See Arizona salary details

$36.3K

$96.5K

$156.6K

How much do implementation science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for implementation science in Arizona is $96,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $112,800.00 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 does an implementation scientist do?

An implementation scientist studies how to effectively integrate research findings into healthcare, public health, or social services. They analyze barriers and facilitators to adopting evidence-based practices, often using frameworks and data analysis tools to improve program outcomes. Their work supports translating research into real-world applications to enhance service delivery.

What jobs pay 4000 a week without a degree?

Implementation Science is a field focused on applying research to improve healthcare practices and policies, and typically requires advanced education. Jobs that pay around $4,000 a week without a degree are often in skilled trades, sales, or entrepreneurship, such as commercial pilots, real estate brokers, or certain sales managers, which rely on experience, certifications, or licenses rather than formal degrees.

How much do implementation scientists make?

Implementation scientists typically earn a median annual salary between $70,000 and $100,000, depending on experience, education, and location. Senior roles or those with specialized skills in research methods and data analysis can earn higher salaries, often exceeding $120,000. Salaries may also vary based on whether they work in academia, healthcare, or government settings.

How to get into implementation science?

To enter implementation science, candidates typically need a background in public health, healthcare, or social sciences, along with skills in research methods, data analysis, and program evaluation. Gaining relevant experience through internships, certifications, or advanced degrees such as a master's or PhD in related fields can improve job prospects. Familiarity with implementation frameworks and tools like qualitative and quantitative research methods is also beneficial.

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.

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 the most commonly searched types of Implementation Science jobs in Arizona? The most popular types of Implementation Science jobs in Arizona are:
What are popular job titles related to Implementation Science jobs in Arizona? For Implementation Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Implementation Science jobs in Arizona look for? The top searched job categories for Implementation Science jobs in Arizona are:
Infographic showing various Implementation Science job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $96,467 per year, or $46.4 per hour.
Vice President - Data Science

Vice President - Data Science

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Caris Life Sciences is transforming cancer care through precision medicine and innovative approaches. The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, overseeing a multidisciplinary team and ensuring the delivery of impactful AI innovations.
Responsibilities:
• Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
• Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
• Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
• Establish governance and standards for model development, validation, documentation, and lifecycle management.
• Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
• Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
• Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
• Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
• Lead development of clinically interpretable reporting frameworks for physicians.
• Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
• Build, mentor, and lead high-performing teams of data scientists and computational biologists.
• Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
• Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.
Qualifications:
Required:
• PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
• 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
• Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
• Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
• Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
• Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
• Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
• Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
• Outstanding verbal and written communication skills.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
• This is an onsite role based at our Phoenix, AZ office and requires regular in‑person presence.
Preferred:
• Experience working in regulated clinical laboratory environments (CAP/CLIA).
• Familiarity with cloud computing platforms and large-scale data infrastructures.
• Experience translating advanced analytics into physician-facing clinical products.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.