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Assistant Scientist Jobs in Arizona (NOW HIRING)

Data Scientist

Chandler, AZ ยท On-site

$140 - $190/hr

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. Work ...

Data Scientist

Chandler, AZ ยท On-site

$90 - $120/hr

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ...

Your ability to plan research, contribute to publications, and assist in securing funding will be ... scientific experience in related specialty area. * Plans and executes epidemiologic research.

Your ability to plan research, contribute to publications, and assist in securing funding will be paramount. The Barrow Neuro Analytics Center (BNAC) is a data science-focused research facility led ...

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Showing results 1-20

Assistant Scientist information

See Arizona salary details

$19

$28

$38

How much do assistant scientist jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for assistant scientist in Arizona is $28.50, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $35.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an assistant scientist?

To thrive as an Assistant Scientist, you need a solid background in scientific research, data analysis, and laboratory techniques, typically supported by a bachelor's or master's degree in a relevant field. Familiarity with laboratory equipment, data analysis software, and compliance with safety protocols is often necessary. Strong attention to detail, teamwork, and effective communication help an Assistant Scientist collaborate and contribute to research goals. These skills ensure accurate experimental results, efficient workflow, and meaningful contributions to scientific discovery.

What is the difference between Assistant Scientist vs Research Associate?

AspectAssistant ScientistResearch Associate
Required CredentialsBachelor's or Master's degree in a relevant field; some roles may require a PhDBachelor's or Master's degree; often more focused on supporting research activities
Work EnvironmentLaboratories, research facilities, field sitesLaboratories, research projects, data analysis
Employer & Industry UsageResearch institutions, biotech, pharmaceuticals, academiaUniversities, research labs, government agencies
Common Search & Comparison IntentUnderstanding entry-level research roles, career progressionSupporting research tasks, project involvement

Assistant Scientists and Research Associates often share similar educational backgrounds and work environments. The main difference lies in responsibilities: Assistant Scientists typically engage in more independent research and may have opportunities for project leadership, while Research Associates focus on supporting research activities and data collection. Both roles are vital in research settings and serve as stepping stones for advanced scientific careers.

What is an assistant scientist?

Assistant Scientists are entry- to mid-level research professionals who support scientific investigations in laboratory, field, or academic settings. They assist with experiments, data collection, analysis, and the preparation of reports or publications. Their responsibilities may also include maintaining lab equipment, ensuring safety protocols, and collaborating with senior scientists or research teams. Assistant Scientists are commonly found in industries such as pharmaceuticals, environmental science, and academia. A bachelor's or master's degree in a relevant scientific field is typically required for this role.

What are some common challenges assistant scientists face when transitioning from academia to an industry laboratory setting?

Assistant Scientists moving from academia to industry often encounter differences in pace, project scope, and collaborative structures. Industry labs tend to prioritize efficiency and teamwork, with strict timelines and clearly defined deliverables. Unlike academic research, where projects may be more exploratory, industry roles typically require adherence to standardized protocols and regulatory guidelines. Building strong communication skills and adapting to cross-functional collaboration are essential for success. Embracing these changes can accelerate professional growth and lead to new opportunities within the organization.
What are the most commonly searched types of Scientist jobs in Arizona? The most popular types of Scientist jobs in Arizona are:
What cities in Arizona are hiring for Assistant Scientist jobs? Cities in Arizona with the most Assistant Scientist job openings:
What are popular job titles related to Assistant Scientist jobs in AZ? For Assistant Scientist jobs in AZ, the most frequently searched job titles are:
Infographic showing various Assistant Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $59,278 per year, or $28.5 per hour.

Data Scientist, Data & Science Solutions

Caris Life Sciences

Tempe, AZ โ€ข On-site

Full-time

Re-posted 22 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.