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Life Science Manager Jobs in Arizona (NOW HIRING)

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Life Science Manager information

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$8

$24

$50

How much do life science manager jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for life science manager in Arizona is $24.55, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $30.48 per hour, depending on experience, location, and employer.

What is a life science manager?

A Life Science Manager oversees projects, research, or operations within the life sciences industry, which includes biotechnology, pharmaceuticals, healthcare, and related fields. They manage teams, ensure regulatory compliance, and drive innovation in product development or scientific research. Their role often involves coordinating between scientists, stakeholders, and business leaders to align research objectives with business goals. Strong leadership, analytical skills, and industry knowledge are essential for success in this position.

What are the primary day-to-day responsibilities of a life science manager?

As a Life Science Manager, your typical day involves overseeing research projects, coordinating teams of scientists or lab technicians, and ensuring compliance with relevant safety and regulatory standards. You will often collaborate closely with cross-functional departments such as quality assurance, regulatory affairs, and product development to meet project milestones. Managing budgets, tracking timelines, and reporting results to senior leadership are also common tasks. This role provides exposure to strategic decision-making and offers the opportunity to lead innovations within the life sciences field.

What are the key skills and qualifications needed to thrive in a life science manager position?

To thrive as a Life Science Manager, you need a strong background in biological or life sciences, leadership experience, and a relevant degree such as a Master's or PhD. Familiarity with laboratory management software, data analysis tools, and compliance with regulatory certifications such as GLP or GMP is often required. Exceptional organizational, problem-solving, and team communication skills help distinguish top performers in this position. These abilities ensure efficient project execution, regulatory adherence, and effective collaboration in fast-paced scientific environments.

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

The most popular types of Life Science jobs in Arizona are:

What cities in Arizona are hiring for Life Science Manager jobs?

Cities in Arizona with the most Life Science Manager job openings:

Vice President - Data Science

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Re-posted 11 hours ago


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.