Vice President - Data Science
Tempe, AZ · On-site
Required : • PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field. • 10+ years of experience building and implementing supervised and unsupervised ...
Vice President - Data Science
Tempe, AZ · On-site
Required : • PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field. • 10+ years of experience building and implementing supervised and unsupervised ...
Assistant, Associate or Full Professor, Biomedical Informatics (TT) (MD, PhD , MD/PhD) (Phoenix)
Phoenix, AZ · On-site
Hold a PhD in computer science, biomedical engineering, bioinformatics, biotechnology, health/medical informatics or a related biomedical field; or hold an MD or equivalent with training in ...
Assistant, Associate or Full Professor, Biomedical Informatics (TT) (MD, PhD , MD/PhD) (Phoenix)
Phoenix, AZ · On-site
Hold a PhD in computer science, biomedical engineering, bioinformatics, biotechnology, health/medical informatics or a related biomedical field; or hold an MD or equivalent with training in ...
Patent Analyst - COMPUTER/INFO SCIENCES
Chandler, AZ · On-site +1
MS or PHD in Engineering, Computer Science or relevant degree preferred. * Must have US Work Authorization and have resided in the United States continuously for the last two years. * However ...
Quick apply
Patent Analyst - COMPUTER/INFO SCIENCES
Chandler, AZ · On-site +1
MS or PHD in Engineering, Computer Science or relevant degree preferred. * Must have US Work Authorization and have resided in the United States continuously for the last two years. * However ...
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 ...
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 ...
Vice President - Data Science
Tempe, AZ · On-site
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 ...
Vice President - Data Science
Tempe, AZ · On-site
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 ...
Data Scientist Senior
Phoenix, AZ · On-site
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
Data Scientist Senior
Phoenix, AZ · On-site
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
Data Scientist Senior
Phoenix, AZ · On-site
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
Data Scientist Senior
Phoenix, AZ · On-site
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
Data Scientist Senior
Phoenix, AZ · On-site
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
New
Data Scientist Senior
Phoenix, AZ · On-site
... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...
New
PhD. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, Materials Engineering, computer science, or other related majors. * Experience with developing machine learning and ...
PhD. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, Materials Engineering, computer science, or other related majors. * Experience with developing machine learning and ...
Engineer, Development
Scottsdale, AZ · On-site +1
PhD. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, Materials Engineering, computer science, or other related majors. * Experience with developing machine learning and ...
Engineer, Development
Scottsdale, AZ · On-site +1
PhD. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, Materials Engineering, computer science, or other related majors. * Experience with developing machine learning and ...
Master's or PhD in a quantitative field (e.g., Statistics, Computer Science). * 5+ years of machine learning engineering or data science experience. * Certified Analytics Professional (CAP ...
Master's or PhD in a quantitative field (e.g., Statistics, Computer Science). * 5+ years of machine learning engineering or data science experience. * Certified Analytics Professional (CAP ...
Senior Machine Learning Scientist
Scottsdale, AZ · On-site
$92K - $125K/yr
PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer ...
Senior Machine Learning Scientist
Scottsdale, AZ · On-site
$92K - $125K/yr
PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer ...
PhD in data science, data engineering, computer science or another related technical field * Alternatively, a master's degree in the above with 4+ years of relevant work experience What sets you ...
PhD in data science, data engineering, computer science or another related technical field * Alternatively, a master's degree in the above with 4+ years of relevant work experience What sets you ...
Scientist - Bioinformatics
Tempe, AZ · On-site
PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines. * Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS ...
Scientist - Bioinformatics
Tempe, AZ · On-site
PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines. * Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS ...
PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines. * Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS ...
PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines. * Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS ...
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
New
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
New
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science ...
Phd Computer Science information
See Phoenix, AZ salary details
$54.5K - $58.1K
7% of jobs
$58.1K - $61.7K
7% of jobs
$61.7K - $65.4K
2% of jobs
$65.4K - $69K
0% of jobs
$69K - $72.7K
2% of jobs
$74.2K is the 25th percentile. Wages below this are outliers.
$72.7K - $76.3K
15% of jobs
$76.3K - $79.9K
16% of jobs
The median wage is $80.2K / yr.
$79.9K - $83.6K
13% of jobs
$83.6K - $87.2K
6% of jobs
$88.9K is the 75th percentile. Wages above this are outliers.
$87.2K - $90.8K
16% of jobs
$90.8K - $94.5K
17% of jobs
$54.5K
$80.1K
$94.5K
How much do phd computer science jobs pay per year?
As of Aug 27, 2026, the average yearly pay for phd computer science in Phoenix, AZ is $80,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $90,100.00 per year, depending on experience, location, and employer.
What is a PhD in computer science?
A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.
What are the key skills and qualifications needed to thrive as a PhD in computer science?
To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.
What are some common challenges faced by PhD computer science students during their research?
PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.
Is a PhD worth it for computer science?
A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.
What can I do after a PhD in computer science?
A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.
What jobs can I get with a PhD in computer science?
A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Phoenix, AZ?
For Phd Computer Science jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Phoenix, AZ look for?
The top searched job categories for Phd Computer Science jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Phd Computer Science jobs?
Cities near Phoenix, AZ with the most Phd Computer Science job openings:
Full-time
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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.
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.