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Manager Variant Scientist Jobs in California (NOW HIRING)

Natera

Laboratory Director

San Carlos, CA · On-site

$225K - $280K/yr

Demonstrated management experience in a high-throughput clinical laboratory environment. Knowledge ... Strong familiarity with professional guidelines for somatic variant interpretation (e.g., AMP/ASCO ...

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Manager Variant Scientist information

What is a manager variant scientist?

A Manager Variant Scientist is a professional who leads a team responsible for analyzing genetic variants, often within clinical or research laboratories. They oversee the interpretation of genomic data to identify mutations or variations relevant to patient care, disease research, or drug development. In addition to hands-on scientific analysis, they manage workflows, ensure data quality, and coordinate collaboration between scientists, clinicians, and other stakeholders. This role typically requires expertise in genetics, molecular biology, bioinformatics, and strong leadership skills.

What are the key skills and qualifications needed to thrive as a manager variant scientist?

To excel as a Manager Variant Scientist, you need a strong background in genetics, molecular biology, and bioinformatics, often supported by a PhD and relevant laboratory experience. Familiarity with genomic analysis tools, next-generation sequencing (NGS) platforms, and variant interpretation databases is typically required. Leadership, effective communication, and project management skills help in guiding teams and collaborating with cross-functional stakeholders. These competencies are vital for ensuring accurate variant analysis, driving scientific advancements, and successfully managing complex research projects.

What are some common challenges faced by a manager variant scientist when leading a genomics team?

A Manager Variant Scientist often encounters challenges such as balancing hands-on scientific analysis with leadership responsibilities, ensuring data accuracy and compliance with regulatory standards, and managing cross-functional communication between laboratory staff, bioinformaticians, and clinicians. Additionally, keeping up with rapid advancements in sequencing technologies and variant interpretation guidelines can be demanding. Effective managers foster a collaborative environment, provide mentorship, and prioritize continuous learning to overcome these challenges and maintain high-quality results.

What is the difference between Manager Variant Scientist vs Variant Scientist?

AspectManager Variant ScientistVariant Scientist
CredentialsBachelor's or Master's in Life Sciences, Biotech, or related fields; often with leadership experienceBachelor's or Master's in Life Sciences, Biotech, or related fields
Work EnvironmentLeads teams in R&D or manufacturing settings, overseeing variant developmentPerforms laboratory research, data analysis, and variant testing
Employer & Industry UsagePharmaceutical, biotech, or biotech manufacturing companiesResearch institutions, biotech firms, pharmaceutical companies

The main difference is that a Manager Variant Scientist oversees teams and projects, focusing on leadership and strategic planning, while a Variant Scientist primarily conducts laboratory research and data analysis. Both roles require similar technical credentials, but the managerial position adds responsibilities related to team management and project coordination.

What are the most commonly searched types of Variant Scientist jobs in California?

The most popular types of Variant Scientist jobs in California are:

What are popular job titles related to Manager Variant Scientist jobs in California?

For Manager Variant Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Variant Scientist jobs in California look for?

The top searched job categories for Manager Variant Scientist jobs in California are:

What cities in California are hiring for Manager Variant Scientist jobs?

Cities in California with the most Manager Variant Scientist job openings:

Manager Variant Scientist jobs near you
Infographic showing various Manager Variant Scientist job openings in California as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Principal Process Architect, Automotive Software

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is harnessing the power of AI and high-performance computing to build the future of mobility. DriveOS is the software platform behind autonomous vehicles and other intelligent machines, combining system software, virtualization, and accelerated computing capabilities for demanding, safety-critical applications. We are seeking a Senior Process Architect to make the system of work behind that platform coherent, practical, and scalable. This role combines automotive process engineering with first-principles judgment: enabling teams to deliver evidence that is fit for product risk, not process for its own sake. You will help a globally distributed organization turn quality, safety, cybersecurity, and AI/ML safety expectations into a coordinated, executable development model.
What You'll Be Doing:
  • Lead the canonical DriveOS process architecture, terminology, roles and interfaces across engineering, program management, quality, functional safety, and cybersecurity.
  • Develop and govern a risk-based tailoring framework that defines variant applicability, decision rights, acceptance criteria, and traceable approvals before execution begins.
  • Establish process maturity, release-readiness, and quality-gate criteria that surface risk early and support predictable, first-pass acceptance.
  • Translate internal lifecycle expectations and applicable industry standards into clear, verifiable workflows, templates, guidance, and mentorship for development teams.
  • Partner with domain leads, program managers, assessors, and tool owners to align plans, evidence, dependencies, and handoffs across product variants.
  • Convert recurring defects, assessment observations, and release takeaways into durable improvements to the common process, measurements, and training.
  • Drive process automation and AI-assisted workflows where they demonstrably reduce risk, rework, or cycle time while preserving governance, traceability, and engineering judgment.
  • Serve as an independent technical authority for process coherence and efficiency, raising gaps with a clear statement of product impact, accountable owner, recovery plan, and date.

What We Need To See:
  • Bachelor's degree or equivalent experience in engineering, computer science, systems engineering, quality, or a related field.
  • 15+ years of experience in automotive or other safety-critical product development, including process architecture, engineering quality, systems engineering, or technical program leadership.
  • Deep understanding of Automotive SPICE, including how process capability, base practices, and generic practices translate into effective engineering behavior and assessable evidence!
  • Strong understanding of the software and systems development lifecycle, including requirements, architecture, implementation, verification, validation, configuration, change, and release management.
  • Hands-on experience with automotive functional safety, cybersecurity, and AI/ML safety requirements, including ISO 26262, ISO/SAE 21434, and ISO 8800.
  • Proven track record to build risk-based tailoring, establish quality gates, and balance compliance needs with program realities in a complex, multi-variant product environment.
  • Excellent written communication, facilitation, and influence skills; able to make process requirements actionable for engineers and decision-ready for senior leaders.
  • Experience using data, workflow tooling, and AI-assisted capabilities to improve engineering processes without weakening accountability or traceability.

Ways To Stand Out From The Crowd:
  • Proven success implementing or modernizing an automotive quality-management system or development process across multiple teams or product variants.
  • Experience with hardware engineering process models, including HW SPICE, or with the interaction of system, software, and hardware engineering in autonomous-driving programs.
  • Participation in relevant standards bodies or working groups, such as intacs, VDA QMC, ISO TC22/SC32, or comparable industry forums.
  • Experience building process tooling, traceability models, measurements, or controlled AI-assisted workflows for safety- or security-critical development.
  • Credentials or demonstrated proficiency in Automotive SPICE, functional safety, cybersecurity, or AI/ML safety.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 22, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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