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Scientific Manager Jobs in Arizona (NOW HIRING)

US Tech - AI Engineering Manager

Phoenix, AZ ยท On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

... management to design and manage the analytic workflows and pipelines to support our whole exome ... Implement bioinformatics strategies, ensuring alignment with organizational goals and scientific ...

... management to design and manage the analytic workflows and pipelines to support our whole exome ... Implement bioinformatics strategies, ensuring alignment with organizational goals and scientific ...

Life Sciences Market Access Manager Throughout the health ecosystem, you'll find courageous and inspiring people who are committed to driving transformation, advancing health equity, and leading a ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Showing results 41-60

Scientific Manager information

See Arizona salary details

$27.7K

$89K

$145.1K

How much do scientific manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for scientific manager in Arizona is $89,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,563.00 and $111,650.00 per year, depending on experience, location, and employer.

What is a scientific manager?

Scientific Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as universities, research institutes, or private companies. They coordinate research activities, manage budgets and resources, ensure compliance with regulations, and often serve as a bridge between scientists and administrative staff. Scientific Managers may also help set research priorities, facilitate communication among stakeholders, and support the professional development of research staff. Their role is essential in ensuring that scientific projects are completed efficiently, on time, and within budget.

What are some common challenges scientific managers face when leading multidisciplinary research teams?

Scientific Managers often navigate the complexities of coordinating team members from diverse scientific backgrounds, each with their own methodologies and communication styles. Ensuring clear project goals, facilitating effective collaboration, and managing timelines can be challenging, especially in fast-paced research environments. Additionally, balancing administrative duties with scientific oversight requires strong organizational and leadership skills. Successful Scientific Managers foster a culture of open communication and continuous learning to overcome these challenges.

What are the key skills and qualifications needed to thrive as a scientific manager, and why are they important?

To thrive as a Scientific Manager, you need a strong background in scientific research, project management experience, and typically an advanced degree (such as a PhD or MSc) in a relevant field. Familiarity with laboratory information management systems (LIMS), data analysis software, and compliance with regulatory standards is crucial. Leadership, strategic thinking, and excellent communication skills distinguish top performers in this role. These skills and qualifications are vital to effectively oversee research teams, ensure project success, and bridge the gap between science and organizational objectives.

What is the difference between Scientific Manager vs Research Scientist?

AspectScientific ManagerResearch Scientist
Required CredentialsAdvanced degrees (Master's or PhD), management trainingTypically PhD or Master's in a scientific field
Work EnvironmentOversees projects, manages teams, strategic planningConducts experiments, data analysis, publishes findings
Employer & Industry UsageResearch institutions, biotech, pharma companiesUniversities, research labs, industry R&D
Common Search & ComparisonOften compared for leadership roles in scienceCompared for hands-on research roles

The main difference is that Scientific Managers focus on overseeing research projects and managing teams, while Research Scientists are primarily involved in conducting experiments and generating scientific data. Both roles require advanced degrees, but Scientific Managers also need leadership and management skills to coordinate research efforts effectively.

What are the most commonly searched types of Scientific jobs in Arizona?

The most popular types of Scientific jobs in Arizona are:

What cities in Arizona are hiring for Scientific Manager jobs?

Cities in Arizona with the most Scientific Manager job openings:

Infographic showing various Scientific Manager job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $89,023 per year, or $42.8 per hour.

Data Scientist, Data & Science Solutions

Caris Life Sciences

Tempe, AZ โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day:"What would I do if this patient were my mom?"That question drives everything we do.

But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

Position Summary

Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.

Job Responsibilities

  • Contribute to analytics and research that support internal stakeholders and external partners.

  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.

  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.

  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.

  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.

  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

    Required Qualifications

    • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.

    • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.

    • Experience with Linux ecosystem, Git, and queries from SQL or related database families.

    • Experience with molecular genetics data and/or multimodal real-world data (RWD).

    • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.

    • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

    Preferred Qualifications

    • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.

    • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.

    • Good code documentation practices and experience with workflow management packages.

    • Experience working in cloud or HPC clusters.

    Physical Demands

    • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.

    • Visual acuity and analytical skill to distinguish fine detail.

    • Must possess ability to sit and/or stand for long periods of time.

    Training

    • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

    Other

    • This position may require periodic travel and some evenings, weekends, and/or holidays.

    Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check( applicable for certain positions) and reference verification.

    This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

    Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.