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H1B Clinical Research Jobs (NOW HIRING)

Contribute to quality improvement initiatives and participate in clinical research, if desired ... H1B candidates encouraged to apply Join Us in Making a Difference! If you're looking to join a ...

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H1B Clinical Research information

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How much do h1b clinical research jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for h1b clinical research in the United States is $30.16, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $31.97 per hour, depending on experience, location, and employer.

What is an H1B Clinical Research?

An H1B Clinical Research job refers to a position in clinical research that is eligible for sponsorship under the H1B visa program in the U.S. These roles typically involve conducting clinical trials, data analysis, regulatory compliance, and coordination of research studies. Employers, such as pharmaceutical companies, hospitals, or research institutions, sponsor foreign professionals with specialized skills in clinical research. Candidates usually need relevant education, such as a degree in life sciences, medicine, or pharmacology, along with experience in clinical trials. Sponsorship depends on employer needs, visa quotas, and meeting the qualifications set by USCIS.

What are the typical responsibilities and challenges faced by H1B Clinical Research professionals?

As an H1B Clinical Research professional, you are usually involved in coordinating and monitoring clinical trials, managing study documentation, ensuring regulatory compliance, and working closely with investigators and participants. One common challenge is balancing meticulous data management with strict adherence to complex protocols and timelines. You may also navigate language and cultural differences within multinational teams, which adds a rewarding collaborative aspect to the role. Success in this position often requires strong communication, adaptability, and a commitment to maintaining the integrity of clinical study data, which are highly valued by employers and can lead to rapid career growth.

What are the key skills and qualifications needed to thrive in the H1B Clinical Research position, and why are they important?

To thrive in a Clinical Research role on an H1B visa, you typically need a background in life sciences or healthcare, research experience, and often a relevant advanced degree (such as MS, MPH, or PhD). Familiarity with clinical trial protocols, data management systems (like EDC or CTMS), and certifications such as GCP (Good Clinical Practice) are highly valued. Strong organizational skills, attention to detail, and the ability to work collaboratively in a cross-functional, multicultural team are essential soft skills. These qualifications ensure effective study coordination, compliance with regulatory standards, and smooth integration within diverse research teams.

More about H1B Clinical Research jobs

What cities are hiring for H1B Clinical Research jobs?

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What are the most commonly searched types of H1B Clinical Research jobs?

The most popular types of H1B Clinical Research jobs are:

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States with the most job openings for H1B Clinical Research jobs include:

What job categories do people searching H1B Clinical Research jobs look for?

The top searched job categories for H1B Clinical Research jobs are:

Infographic showing various H1B Clinical Research job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 70% Full Time, 17% Part Time, and 9% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $62,726 per year, or $30.2 per hour.

Clinical Research Scientist

Success Matcher Recruitment

San Francisco, CA

$140K - $185K/yr

Full-time

Medical, Dental, PTO

Posted 17 hours ago

Posted today


Job description

Position Title: Clinical Research Scientist, Mental Health AI
Location: San Francisco, CA (Onsite)
Salary: $140K - $185K + Equity
Visa: Yes (OPT, H1B transfers)
Relocation Assistance: Yes

About the Role

As individuals increasingly turn to AI for emotional support, health information, and guidance during moments of distress, ensuring these systems respond safely and ethically is critical. Many high-stakes risks emerge across multi-turn conversations—including missed signs of escalating distress, reinforcement of harmful beliefs, diagnostic overreach, and unhealthy emotional dependence.

Our client is seeking a Clinical Research Scientist to help lead and expand their groundbreaking work evaluating AI systems in mental health and clinically sensitive settings. In this role, you will work side-by-side with research teams and software engineers to build clinically grounded benchmarks, realistic multi-turn scenarios, scoring criteria, and validation studies.

This role is ideal for a Clinical Psychologist, Psychiatrist, or Clinical Scientist who wants to shape the future of AI safety and evaluation while maintaining active academic and clinical impact.

What You’ll Do

  • Lead Clinical Evaluation Design: Define what safe and unsafe model behavior looks like across mental health and sensitive domains.

  • Identify Failure Modes: Translate clinical risks into realistic multi-turn test scenarios and objective scoring criteria.

  • Validate Methodology: Design validation studies including clinician reviews, inter-rater reliability assessments, and comparisons with real-world interaction data.

  • Cross-Functional Collaboration: Partner with engineers and technical researchers to implement clinical benchmarks at scale.

  • Drive Research & Publishing: Analyze model behavior, publish peer-reviewed findings, and help shape the client's broader AI safety research agenda.


What We’re Looking For

  • Education: PhD, PsyD, or MD in Clinical Psychology, Behavioral Science, Psychiatry, or a closely related field (Postdocs and early-career professionals welcome).

  • Research Experience: 1+ years of clinical mental health research experience with a track record of peer-reviewed publications.

  • Methodological Rigor: Strong background in empirical research, study design, quantitative/psychometric methods, and scientific writing.

  • Digital Health/AI Context: Recent research or exposure to digital mental health, AI, or Large Language Models (LLMs) is highly preferred.

  • Youth/Adolescent Focus: Experience with adolescent or youth mental health populations is a significant plus.

  • Onsite Presence: Ability to work onsite in San Francisco 4–5 days per week.


What Our Client Offers

  • High Impact & Ownership: Direct influence over the trajectory of mental health AI evaluation.

  • Competitive Compensation: $140K–$185K base salary + meaningful equity + title flexibility based on experience.

  • Relocation & Commute: Dedicated relocation package and transportation support.

  • Comprehensive Perks: Full medical/dental coverage, unlimited PTO, and daily lunch, dinner, snacks, and coffee onsite.

  • Visa Support: Open to visa transfers for qualified candidates.