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Duke Research Jobs in California (NOW HIRING)

Cogent Security

AI Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo * Unicorn, high ... As a Research Scientist, you will drive foundational and applied research at the frontier of ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo * Unicorn, high ... Preeminent research labs like Deepmind and SAIL About the Role Cogent Research is the applied AI ...

Cogent Security

Workplace Manager

San Francisco, CA · On-site

Alongside our core product work, Cogent Research serves as our applied AI lab, providing the ... Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo * Unicorn, high ...

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Cogent Security

Cogent AI Fellowship

San Francisco, CA · On-site

$100K - $300K/yr

Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo * Preeminent research labs like Deepmind and SAIL * Unicorn, high-growth companies like Scale AI, Databricks, Stripe ...

AKASA

Sr. Product Manager

South San Francisco, CA · On-site

$185 - $240/hr

... Duke, Stanford, and Johns Hopkins. Some of our recent recognitions include being named one of ... Our ML researchers regularly write about their cutting edge work (link 1, link 2). * Internal ...

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Akasa, Inc

Sr. Product Manager

South San Francisco, CA · On-site

$120/hr

... Duke, Stanford, and Johns Hopkins. Some of our recent recognitions include being named one of ... Our ML researchers regularly write about their cutting edge work (link 1, link 2). * Internal ...

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How much do duke research jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for duke research in California is $21.93, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.51 per hour, depending on experience, location, and employer.

What types of projects and collaboration opportunities can I expect as a Duke Research professional?

As a Duke Research professional, you’ll often work on interdisciplinary projects that bring together faculty, students, and staff from various departments. Collaboration is a hallmark of the Duke research environment, with frequent opportunities to partner with clinical, academic, and industry experts. You may participate in grant writing, data analysis, and publications, as well as attend regular seminars and workshops to stay current in your field. These experiences not only broaden your expertise but also provide numerous avenues for career growth within and beyond Duke.

What are the key skills and qualifications needed to thrive as a Duke Researcher, and why are they important?

To thrive as a Duke Researcher, you need a strong background in your scientific discipline, analytical thinking, and experience with research methodologies, typically supported by an advanced degree (such as MSc or PhD). Familiarity with statistical software (e.g., SPSS, R), laboratory equipment, and compliance systems (like IRB protocols) is often required. Excellent written and verbal communication, attention to detail, and collaboration skills help distinguish top researchers. These abilities are critical for producing high-quality research, ensuring accuracy, and advancing scientific knowledge within collaborative environments.

What is the difference between Duke Research vs Duke Research Assistant?

AspectDuke ResearchDuke Research Assistant
CredentialsTypically requires a relevant degree or research experienceUsually requires a minimum of a bachelor's degree or current student status
Work EnvironmentResearch labs, academic settings, or clinical environmentsAssist in research activities, data collection, and lab support
Employer & Industry UsageUsed by Duke University for research projects across disciplinesCommonly employed by Duke for supporting research teams and projects

In summary, Duke Research refers to the broader research activities or roles within Duke University, often involving leading or principal investigators. In contrast, Duke Research Assistant is a supporting role focused on assisting with research tasks, typically requiring less experience and serving as an entry-level position within the research environment.

What is a Duke Research?

Duke Research positions refer to a variety of research-focused jobs at Duke University, including roles for research assistants, associates, coordinators, and faculty. These professionals contribute to groundbreaking studies in fields like medicine, engineering, social sciences, and more. Responsibilities typically include conducting experiments, collecting and analyzing data, managing research projects, and supporting faculty with scholarly work. Working in Duke Research offers opportunities to collaborate with leading experts and contribute to innovative discoveries.

What are popular job titles related to Duke Research jobs in California?

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

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

The top searched job categories for Duke Research jobs in California are:

Duke Research jobs near you
Infographic showing various Duke Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $45,616 per year, or $21.9 per hour.

AI Research Scientist

Cogent Security

San Francisco, CA • On-site

$100K - $300K/yr

Full-time

Re-posted 3 days ago

Job description

About Cogent
Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.
Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from:
  • Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo
  • Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase
  • World class cybersecurity experts from Wiz, Abnormal AI, Zscaler
  • Preeminent research labs like Deepmind and SAIL

About the Role
Cogent Research is the applied AI lab at the heart of Cogent's mission. As a Research Scientist, you will drive foundational and applied research at the frontier of automated reasoning and AI-driven code analysis - producing work that is both scientifically rigorous and directly impactful in the real world.
We are looking for someone who thrives in ambiguity, invents novel solutions when existing ones fall short, and has the flexibility to change course when initial ideas don't pan out. If you have deep expertise in automated reasoning, a strong publication or artifact track record, and a passion for making the world's infrastructure safer, we want to hear from you.
What You'll Do & Achieve
  • Drive original, high-impact research in automated reasoning, code analysis, and AI-driven security, from early hypothesis through publication-quality results
  • Invent and apply novel AI techniques to challenges in code reasoning and code generation, advancing the state of the art
  • Develop significant research artifacts, tools, or systems that have real-world impact inside Cogent and in the broader research community
  • Design and execute automated testing and fuzzing strategies to validate systems under development
  • Publish findings at top-tier conferences and peer-reviewed journals
  • Collaborate with engineering and product teams to translate research into Cogent's core AI platform
  • Stay at the cutting edge of developments in ML, program analysis, and formal methods - and help shape Cogent's research direction
What You'll Bring
  • Extensive Experience in Automated Reasoning: Deep hands-on expertise in static/dynamic analysis, formal verification, and/or automated testing and fuzzing
  • AI Expertise: Proven experience developing or applying AI/ML techniques to code reasoning or code generation problems
  • Education: An MSc or PhD/DPhil in Computer Science or a closely related technical field
  • Proven Track Record: Demonstrated impact through publications at top-tier conferences, significant artifacts developed in a professional setting, or widely-adopted open-source contributions
  • Independence: A highly self-directed, proactive, and self-starting attitude - you identify problems, propose solutions, and drive them to completion
  • Mission Alignment: A genuine passion for Cogent's mission and a belief that this work matters
Bonus Points:
  • Experience in cybersecurity - knowledge of vulnerability classes, exploit techniques, or secure-by-design systems
  • Familiarity with Cloud Infrastructure as Code (IaC) - tools like Terraform, Pulumi, CDK, or equivalent

For California Based Applicants
The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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