ZipRecruiter

Log In

1

Applied Biotech Jobs in California (NOW HIRING)

Artos

Applied AI Engineer

San Francisco, CA · On-site

$171K - $242K/yr

At Artos, you'll help accelerate development of a platform that supports companies - from innovative biotech startups to the world's largest pharmaceutical firms - in delivering life-saving ...

previous pagenext page

Showing results 21-40

All JobsApplied Biotech JobsApplied Biotech Jobs in California

Applied Biotech information

See California salary details

$11

$25

$37

How much do applied biotech jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for applied biotech in California is $25.13, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $30.62 per hour, depending on experience, location, and employer.

What is the difference between Applied Biotech vs Laboratory Technician?

AspectApplied BiotechLaboratory Technician
CredentialsBachelor's in Biotechnology, Life Sciences, or related fieldsAssociate's or Bachelor's in Laboratory Technology or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsClinical, research, or industrial laboratories
Industry UsageBiotech, pharmaceutical, research institutionsHealthcare, research, manufacturing
Job FocusResearch, product development, experimental analysisSample testing, data recording, equipment operation

Applied Biotech professionals typically engage in research and development activities within biotech and pharmaceutical companies, requiring a strong background in biotechnology. Laboratory Technicians focus on conducting tests, maintaining lab equipment, and supporting research or clinical work. While both roles work in laboratory settings, Applied Biotech roles are more research-oriented, whereas Laboratory Technicians handle routine testing and sample processing.

What are some common challenges faced by professionals working in applied biotechnology roles?

Professionals in applied biotechnology often encounter challenges such as adapting to rapidly evolving technologies, maintaining regulatory compliance, and effectively collaborating with interdisciplinary teams. The work can involve troubleshooting experimental protocols, meeting tight project deadlines, and ensuring product quality and safety standards are met. Additionally, staying current with industry advancements and integrating new scientific findings into practical applications is essential for ongoing success in the field.

What are applied biotech jobs?

Applied biotech jobs involve using biological processes and organisms to solve real-world problems in industries such as healthcare, agriculture, and environmental science. Professionals in this field may work on developing new medicines, improving crop yields, or creating sustainable materials. These roles often require knowledge of genetics, molecular biology, and bioengineering, as well as laboratory and analytical skills. Applied biotech careers can be found in research labs, pharmaceutical companies, and biotech startups.

What are the key skills and qualifications needed to thrive as an applied biotechnologist?

To thrive as an Applied Biotechnologist, you need a strong background in biology, chemistry, and molecular techniques, often supported by a bachelor's or master's degree in biotechnology or a related field. Familiarity with laboratory instruments, PCR, chromatography, and bioinformatics tools, as well as certifications like GLP or GMP, is highly valuable. Attention to detail, analytical thinking, and effective teamwork are crucial soft skills in this role. These competencies enable accurate experimentation, data interpretation, and innovation, which are vital for advancing biotechnological solutions and ensuring regulatory compliance.
What are popular job titles related to Applied Biotech jobs in California? For Applied Biotech jobs in California, the most frequently searched job titles are:
What job categories do people searching Applied Biotech jobs in California look for? The top searched job categories for Applied Biotech jobs in California are:
What cities in California are hiring for Applied Biotech jobs? Cities in California with the most Applied Biotech job openings:
Applied Biotech jobs near you

Applied AI Engineer (LLMs, Agents, and Healthcare AI)

Human Longevity, Inc.

South San Francisco, CA • On-site

Full-time

Re-posted 16 days ago

Job description

About Human Longevity, Inc. (HLI) 

Human Longevity, Inc. (HLI) is a leader in precision health, combining genomics, advanced imaging, biomarker testing, and artificial intelligence to transform the future of proactive healthcare. Our mission is simple: help people live longer, healthier lives through earlier detection, personalized insights, and data-driven healthcare. 

We believe AI will fundamentally reshape healthcare over the next decade. From clinician copilots and patient-facing assistants to autonomous workflows and intelligent healthcare operations, AI will become deeply embedded across every aspect of healthcare delivery. 

We are looking for an exceptional Applied AI Engineer who can help build that future. This is not a traditional data science role. This is a hands-on engineering role focused on building, deploying, and scaling real-world AI applications that create measurable impact across clinical, operational, and member experiences. 

What You'll Do 

As an Applied AI Engineer, you will build AI-powered products and agentic systems that help clinicians, care teams, operations staff, and members work more effectively. 

You will rapidly prototype, deploy, and iterate on AI solutions using the latest advances in Large Language Models, Retrieval-Augmented Generation (RAG), agent frameworks, and healthcare data platforms. 

Build AI Products 

  • Design, build, and deploy AI-powered applications from concept to production. 

  • Rapidly prototype new ideas and transform them into production-ready systems. 

  • Partner directly with clinicians, operators, and business stakeholders to identify high-value opportunities. 

  • Deliver solutions that create measurable operational, clinical, or member-facing impact. 

Build AI Agents 

  • Design and deploy autonomous and semi-autonomous AI agents. 

  • Implement multi-agent workflows that automate complex healthcare processes. 

  • Evaluate and integrate modern agent frameworks and orchestration platforms. 

  • Build AI assistants that support clinical operations, member engagement, and internal productivity. 

Develop LLM Applications 

  • Build applications leveraging state-of-the-art Large Language Models. 

  • Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. 

  • Optimize prompts, workflows, evaluation systems, and agent behavior. 

  • Implement knowledge retrieval systems that unlock value from clinical, genomic, imaging, and operational data. 

Engineer AI Infrastructure 

  • Build scalable data pipelines and AI services. 

  • Create reusable AI components, APIs, and internal platforms. 

  • Improve reliability, observability, performance, and security of AI systems. 

  • Support deployment and monitoring of production AI applications. 

Own End-to-End Delivery 

  • Take ownership from idea through production deployment. 

  • Work cross-functionally with engineering, clinical, operations, and leadership teams. 

  • Continuously evaluate and improve AI solutions based on real-world outcomes. 

Required Qualifications 

Healthcare Experience (Required) 

  • 4+ years of experience building software, AI, machine learning, or data-driven applications within healthcare, life sciences, biotechnology, genomics, diagnostics, digital health, or clinical environments. 

  • Direct experience working with healthcare data, including one or more of: 

  • Clinical records 

  • Laboratory data 

  • Genomics data 

  • Imaging reports 

  • Physician documentation 

  • Patient communications 

  • Healthcare operational workflows 

  • Strong understanding of healthcare terminology, clinical workflows, and the practical challenges of deploying AI solutions in healthcare settings. 

AI Engineering Experience 

  • Proven experience building and deploying production AI applications. 

  • Hands-on experience with Large Language Models (LLMs) and modern AI application development. 

  • Experience with Retrieval-Augmented Generation (RAG), agentic AI systems, prompt engineering, and workflow automation. 

  • Strong product mindset with the ability to identify business problems and rapidly build solutions. 

  • Experience deploying systems used by real customers, clinicians, patients, or operational teams. 

Technical Skills 

  • Strong proficiency in Python. 

  • Experience with SQL and modern database technologies. 

  • Experience with APIs, integrations, and distributed systems. 

  • Familiarity with cloud platforms and modern software engineering practices. 

  • Strong understanding of software architecture, testing, and deployment. 

Preferred Qualifications 

  • Experience with genomics, precision medicine, longevity medicine, radiology, pathology, or advanced diagnostics. 

  • Experience with healthcare interoperability standards such as FHIR and HL7. 

  • Experience building clinician-facing AI products. 

  • Experience building patient-facing AI assistants. 

  • Experience with healthcare privacy, security, and compliance requirements. 

  • Startup or high-growth technology company experience. 

Experience With One or More of the Following 

  • OpenAI, Anthropic, Gemini, or similar foundation models 

  • LangGraph 

  • LangChain 

  • CrewAI 

  • AutoGen 

  • PydanticAI 

  • Vector databases 

  • Enterprise search systems 

  • Agent orchestration platforms 

  • Workflow automation tools 

Who Thrives Here 

You will thrive at HLI if you: 

  • Love building and shipping products quickly. 

  • Enjoy solving messy, real-world problems. 

  • Are excited about the future of AI agents. 

  • Can move from concept to production with minimal oversight. 

  • Prefer impact over academic research. 

  • Are energized by startup environments and rapid iteration. 

  • Want to help transform healthcare through technology. 

Why Join HLI 

Build the Future of Healthcare AI 

Work at the intersection of AI, genomics, diagnostics, and precision medicine. 

Real-World Impact 

Build systems used by clinicians, healthcare teams, and members every day. 

Cutting-Edge Technology 

Work with the latest AI models, agent frameworks, healthcare datasets, and precision medicine technologies. 

Mission-Driven Work 

Help advance HLI’s mission to extend healthy human lifespan through proactive, personalized healthcare. 

Powered by JazzHR

tFMhprQ4s5