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Rdt Jobs in California (NOW HIRING)

DCS Corp

Mechanical Engineer

Ridgecrest, CA · On-site

$44 - $80/hr

Oversees installation, operation, maintenance, and repair of equipment in support of RDT&E, weapons programs, and systems. Part-time position. Conduct environmental testing and environmental ...

DCS CORPORATION

Mechanical Engineer

Ridgecrest, CA · On-site

$44 - $80/hr

Oversees installation, operation, maintenance, and repair of equipment in support of RDT&E, weapons programs, and systems. Part-time position. Conduct environmental testing and environmental ...

DCS Corporation

Mechanical Engineer

Ridgecrest, CA · On-site

$44/hr

Oversees installation, operation, maintenance, and repair of equipment in support of RDT&E, weapons programs, and systems. Part-time position. Conduct environmental testing and environmental ...

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Rdt information

What is an RDT?

RDT stands for Rapid Diagnostic Tests. These are simple, quick tests used to detect the presence of specific diseases or conditions, most commonly in medical or laboratory settings. RDTs are widely used for diagnosing infections such as malaria, HIV, or COVID-19 because they provide results within minutes and do not require complex laboratory equipment. They are particularly valuable in remote or resource-limited areas where access to full laboratory facilities is not available.

What are the key skills and qualifications needed to thrive as a registered dental technician, and why are they important?

To thrive as a Registered Dental Technologist, you need expertise in dental anatomy, prosthetic fabrication, and materials science, often backed by a dental technology diploma and RDT licensure. Familiarity with CAD/CAM systems, dental laboratory equipment, and infection control protocols is essential. Attention to detail, manual dexterity, and effective communication with dental professionals are standout soft skills in this role. These skills ensure the precise creation of dental appliances, patient safety, and strong collaboration with dentists for optimal treatment outcomes.

What are some common challenges registered dental technicians face when collaborating with dentists and dental laboratories?

Registered Dental Technicians often work closely with dentists and dental laboratories to ensure that dental prosthetics and appliances meet patient needs and specifications. A common challenge is accurately interpreting dental impressions and instructions, which can sometimes be unclear or require follow-up communication. Additionally, RDTs must balance precision and efficiency, as dental labs often have tight deadlines. Effective collaboration, attention to detail, and willingness to seek clarification are key to overcoming these challenges and producing high-quality dental restorations.

What is the difference between Rdt vs X-ray Technician?

AspectRdtX-ray Technician
CertificationsRegistered Diagnostic Technologist (Rdt) certification, ARDMS or equivalentState licensure, ARRT certification
Work EnvironmentHospitals, clinics, diagnostic labsHospitals, outpatient centers, clinics
Job ResponsibilitiesPerforming diagnostic imaging, operating ultrasound or other diagnostic equipmentPerforming X-ray procedures, capturing radiographic images
Industry UsagePrimarily in diagnostic imaging and radiologyRadiology departments, emergency rooms, outpatient imaging

Both Rdt and X-ray Technicians work in diagnostic imaging, but Rdt often involves specialized ultrasound or other modalities, while X-ray Technicians focus on radiographic imaging. Certifications and work environments overlap, making them comparable roles within radiology departments.

What are popular job titles related to Rdt jobs in California?

For Rdt jobs in California, the most frequently searched job titles are:

What job categories do people searching Rdt jobs in California look for?

The top searched job categories for Rdt jobs in California are:

What cities in California are hiring for Rdt jobs?

Cities in California with the most Rdt job openings:

Rdt jobs near you
Infographic showing various Rdt job openings in California as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Principal Data Scientist - RDT Applied AI

Genentech, Inc.

South San Francisco, CA • On-site

Full-time

Posted 9 days ago

Key responsibilities

  • Act as a strategic advisor to Pharma Commercial and Product R&D teams on high-priority AI initiatives.

  • Promote and propose the use of Roche's AI platform capabilities and influence the platform roadmap by identifying technological gaps and new requirements.

  • Guide the design and architecture of complex data science and AI solutions while ensuring healthcare compliance and regulatory considerations.

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

Principal Data Scientist - RDT Applied AI
Are you ready to use state-of-the-art AI to accelerate the journey of life-saving therapies from development to the patients who need them most?
Imagine acting as the bridge between cutting-edge machine learning and critical business strategy. We are looking for a visionary Principal Data Scientist to serve as a premier technical consultant to our business, providing critical advisory support to high-priority use cases across our Pharma Commercial and Product Research & Development (R&D) team. Rather than owning the day-to-day delivery of a single project, you will operate in a highly dynamic, cross-departmental landscape-acting as a strategic consultant across a broad portfolio of initiatives to guide multiple teams in transforming complex data into the predictive and generative engines that power our next generation of healthcare innovations.
The Opportunity
The Principal Data Scientist - RDT Applied AI is a high-impact consulting role where advanced technical expertise meets business strategy in a highly regulated environment. Acting as an embedded consultant and strategic partner to our Pharma Commercial and Product R&D teams, you will guide the design and architecture of complex data science and AI solutions. You will evaluate commercial challenges, product development pipelines, and market dynamics to advise on sophisticated AI frameworks that drive measurable business value.
Crucially, you will act as a champion for Roche's existing AI and data platforms. You will promote their re-use across the enterprise while simultaneously gathering insights from top-priority use cases to influence the strategic roadmap of these platforms, identifying tech gaps and new requirements.
This role requires deep expertise in advanced machine learning, generative AI, experimental design, and healthcare compliance. You will balance technical advisory with strategic leadership-shaping technical roadmaps, optimizing deployment strategies, and mentoring talent, all while advising senior business leaders on the art of the possible with AI in a regulated pharma environment.
Job Responsibilities
  • Strategic Internal Consulting: Act as a dedicated advisor to Pharma Commercial and Product R&D teams on their highest-priority AI initiatives. Translate ambiguous business and product challenges into robust AI/ML strategies, consulting with the project owners to ensure technical solutions directly advance commercial goals and development timelines.
  • Platform Advocacy & Roadmap Influence: Actively promote and propose the use of Roche's current AI platform capabilities to project teams to maximize re-use and efficiency. Simultaneously, use your vantage point across key projects to identify technological gaps and feed new requirements back to the platform engineering teams, directly influencing the overarching AI platform roadmap.
  • Healthcare Context & Compliance: Apply a deep understanding of the pharmaceutical and healthcare environment to all consultative work. Ensure all proposed AI architectures and machine learning solutions are designed with a thorough understanding of the compliance, data privacy, and regulatory implications (e.g., GxP) inherent in healthcare data.
  • Stakeholder Management: Partner closely with senior leadership across Commercial and R&D to inform high-level strategic decisions. Act as a trusted translator who can explain complex algorithmic generative processes and compliance requirements to non-technical business partners.
  • Advisory Leadership: Oversee the architectural and strategic direction of multiple end-to-end data science projects by guiding the data scientists executing the work. Innovate and advise on cutting-edge AI initiatives that push the boundaries of the organization's technical capabilities.
  • Impact & Strategy: Lead the consultative phase of high-impact projects that significantly influence overarching business strategy. Play a key role in shaping the AI vision, frameworks, and best practices across the organization.
  • Accountability & Problem Solving: Tackle highly complex problems by developing bespoke analytical strategies. Advise teams on ensuring the absolute robustness, scalability, and longevity of deployed models in production environments.
  • Business & Technical Ability: Leverage expert-level proficiency in multiple programming languages and sophisticated data analysis to consult on solving the business's most ambiguous challenges, even if data ownership sits with the execution teams.

Who You Are
  • Master's degree in Biostatistics, Computer Science, Data Science, or a relevant discipline required. PhD is strongly preferred.
  • A minimum of 7 years of direct, related experience in Data Science working intimately with AI/ML technologies.
  • Consultative Track Record: Proven experience working closely with senior leadership to inform, influence, and consult on high-level strategic business decisions. Experience advising rather than strictly executing is highly desired.
  • Industry & Compliance Knowledge: Demonstrated familiarity with the pharma/healthcare environment. A strong understanding of the compliance, regulatory (GxP), and data privacy implications of deploying AI in a healthcare setting is required.
  • Platform & Strategy Influence: Demonstrated experience in designing, promoting, and implementing enterprise-wide data science frameworks, platforms, and organizational best practices.
  • Execution Advisory: Extensive experience guiding complex data science projects from end-to-end and driving significant, quantifiable business impact through advisory and architectural design.

Technical Skills
  • Programming & Analysis: Deep expertise and expert-level proficiency in multiple programming languages (Python is essential; R is a plus) and sophisticated data analysis.
  • AI/ML Expertise: In-depth understanding and hands-on capability with state-of-the-art machine learning, GenAI techniques, and experimental design.
  • System Integration & Platform Architecture: System integration experience is essential. You must deeply understand the generative process of AI and how to architect systems that dynamically pull information from diverse, disparate business sources, with a focus on leveraging centralized enterprise platforms.
  • Data Architecture: Strong background in data architecture, with the ability to advise on managing enterprise-level datasets, optimizing model performance, and ensuring successful deployment and continuous monitoring in production.

Additional Qualifications
  • Consultative Mindset: Exceptional ability to listen to business stakeholders, identify root problems, propose data-driven solutions, and advocate for platform adoption in a collaborative, advisory capacity.
  • Leadership: Strong leadership and mentorship capabilities, with a proven ability to oversee the strategy of multiple projects simultaneously and guide data scientists executing the work.
  • Vision: A strategic mindset with the ability to shape the broader data science vision of the organization and influence enterprise platform roadmaps.
  • Communication: Excellent stakeholder management and presentation skills, capable of bridging the gap between deep tech, regulatory compliance, and overarching business strategy.

The expected salary range for this position based on the primary location of South San Francisco, CA is $185,200 - $343,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are not available for this job posting.
#RDT2026
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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