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 ...
PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field. * Strong programming skills in Python or R, with experience developing reproducible ...
PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field. * Strong programming skills in Python or R, with experience developing reproducible ...
PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field. * Strong programming skills in Python or R, with experience developing reproducible ...
PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field. * Strong programming skills in Python or R, with experience developing reproducible ...
Data Science Analyst
Phoenix, AZ · On-site
$99K - $148K/yr
The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ... data science will be considered. Additional Qualifications: The preferred candidate will possess a ...
Data Science Analyst
Phoenix, AZ · On-site
$99K - $148K/yr
The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ... data science will be considered. Additional Qualifications: The preferred candidate will possess a ...
Data Science Analyst
Phoenix, AZ · On-site
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...
Data Science Analyst
Phoenix, AZ · On-site
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...
Data Science Analyst
Phoenix, AZ · On-site
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...
Data Science Analyst
Phoenix, AZ · On-site
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...
Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of experience in AI/data science, with at least 5 years in a leadership role. * Proven experience ...
Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of experience in AI/data science, with at least 5 years in a leadership role. * Proven experience ...
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 ...
Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of experience in AI/data science, with at least 5 years in a leadership role. * Proven experience ...
Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of experience in AI/data science, with at least 5 years in a leadership role. * Proven experience ...
Master's or PhD degree in a quantitative field with 5+ years of data science experience. * Applied expertise in artificial intelligence with experience applying natural language processing, computer ...
Quick apply
Master's or PhD degree in a quantitative field with 5+ years of data science experience. * Applied expertise in artificial intelligence with experience applying natural language processing, computer ...
Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.) * 3+ years of experience in AI/ML algorithm development using core data ...
Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.) * 3+ years of experience in AI/ML algorithm development using core data ...
Assistant, Associate or Full Professor, Biomedical Informatics (TT) (MD, PhD , MD/PhD) (Phoenix)
Phoenix, AZ · On-site
Have demonstrated ability to design, develop and apply state-of-the-art Data Science, ML and/or AI ... Hold a PhD in computer science, biomedical engineering, bioinformatics, biotechnology, health ...
Assistant, Associate or Full Professor, Biomedical Informatics (TT) (MD, PhD , MD/PhD) (Phoenix)
Phoenix, AZ · On-site
Have demonstrated ability to design, develop and apply state-of-the-art Data Science, ML and/or AI ... Hold a PhD in computer science, biomedical engineering, bioinformatics, biotechnology, health ...
MS or PhD in Materials Science, Physics, Engineering, or related field * Hands-on S/TEM experience, including real-world data collection * Experience developing or implementing automation for TEM or ...
MS or PhD in Materials Science, Physics, Engineering, or related field * Hands-on S/TEM experience, including real-world data collection * Experience developing or implementing automation for TEM or ...
MS or PhD in Materials Science, Physics, Engineering, or related field * Hands-on S/TEM experience, including real-world data collection * Experience developing or implementing automation for TEM or ...
Quick apply
MS or PhD in Materials Science, Physics, Engineering, or related field * Hands-on S/TEM experience, including real-world data collection * Experience developing or implementing automation for TEM or ...
Data Scientist II
Phoenix, AZ · On-site
$120 - $170/hr
Hands‑on Databricks experience for building and deploying data science workloads at scale ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Data Scientist II
Phoenix, AZ · On-site
$120 - $170/hr
Hands‑on Databricks experience for building and deploying data science workloads at scale ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Data Scientist II
Phoenix, AZ · On-site
Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Data Scientist II
Phoenix, AZ · On-site
Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
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 ...
Data Scientist II
Phoenix, AZ · On-site
Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
Data Scientist II
Phoenix, AZ · On-site
Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...
MS or PhD in Materials Science, Physics, Engineering, or related field * Hands-on S/TEM experience, including real-world data collection * Experience developing or implementing automation for TEM or ...
MS or PhD in Materials Science, Physics, Engineering, or related field * Hands-on S/TEM experience, including real-world data collection * Experience developing or implementing automation for TEM or ...
Data Science Phd information
What are the key skills and qualifications needed to thrive as a data science PhD?
To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.
What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?
Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.
What is a data science PhD?
A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
What are popular job titles related to Data Science Phd jobs in Arizona? For Data Science Phd jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Science Phd jobs in Arizona look for? The top searched job categories for Data Science Phd jobs in Arizona are:
What cities in Arizona are hiring for Data Science Phd jobs? Cities in Arizona with the most Data Science Phd job openings:
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.