AI Engineer, Trial Library
Oncology clinical trials
Be an early applicant
Oncology clinical trials
1-20 employees
Be an early applicant
1-20 employees
Company mission
To improve health equity by expanding access to cancer precision medicine.
Role
Who you are
- Bachelor's degree or similar in Computer Science, Software Engineering, AI, Machine Learning, or a related field
- 2+ years of experience in AI/ML engineering, with a strong focus on LLMs
- Experience in developing and deploying applications leveraging LLMs
- Basic understanding of classic machine learning algorithms and experiment design
- Experience with AI/ML frameworks and libraries (e.g., PyTorch, Hugging Face).Familiarity with full-stack development concepts and technologies.A love of teaching and helping others succeed
- Experience with healthcare tech or clinical trials is a significant plus
- Respect for compliance and privacy requirements in healthcare (e.g. HIPAA)
What the job involves
- We are seeking a talented AI Engineer to join our team and help us accelerate clinical trial recruitment
- This person will play a key role in designing, developing, and deploying the AI features of Trial Library’s suite of solutions to facilitate identifying, referring, and enrolling patients into clinical trials
- This position is critical to maintaining the highest quality standards as we work towards our company mission
- Creatively apply LLMs to develop solutions that streamline workflows and improve efficiency in clinical trial recruitment
- Collaborate with product and engineering teams to integrate AI models into existing and new applications
- Apply principles of classic machine learning and experiment design to work with datasets, measure model accuracy, and iterate on solutions
- Implement and maintain robust testing strategies for AI models, including unit, integration, and performance tests
- Participate in code reviews to ensure code quality and adherence to best practices
- Troubleshoot and debug AI-related issues, identifying and resolving performance bottlenecks
- Stay up-to-date with emerging AI technologies, particularly in the LLM and agent space, and best practices
- Educate and assist coworkers in leveraging AI in their daily tasks where appropriate
- Work with healthcare and clinical trial dataset, exercising a practical understanding of industry best practices (e.g., HIPAA)
Our take
Participation in clinical trials is limited, and requires both knowledge of them, and the availability and resources to proceed. As such, it has tended to freeze out a number of key groups who go on to be underrepresented in medical research - especially when it comes to cancer treatments. Public benefit company Trial Library wants to change this.
Trial Library promises to be a platform offering oncology clinicians sponsored opportunities to assess their patients for trial suitability. If successful, the platform will then help patients access resources for the trickier attendance logistics, like travel, food, and other services.
Having come out of stealth just recently, Trial Library is not yet operational - but it’s attracted some strong initial funding to get there. More importantly, it could prove a relatively distinctive offering in a growing field of companies tackling the trial diversity issue.
Startups like Acclinate, Antidote, and SubjectWell help researchers and pharmaceutical companies engage directly with underrepresented communities to advertise trials, whereas Trial Library appears to be more of an assistive tool for clinicians. The addition of logistics resources is a distinctive touch, too, but may need to be fleshed out to pull over customers from better-established rivals.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Aug 2022
$5m
SEED
Total funding: $5m
Company benefits
- We are a remote-based, fast growth team
- All full-time employees receive paid vacation and parental leave
- We offer technology tools and a work-from-home setup stipend
- We offer medical, dental, and vision coverage to our employees
- We value career development for all
Company HQ
Lower Pacific Heights, San Francisco, CA
Leadership
Hala Borno
(CPO)A practicing medical Oncologist and Health Equity Researcher at the University of California, San Francisco, where she is also Lead of the Recruitment Science Research Hub.
Stephen Buck
(Co-founder)Previously the Director of American Express, then Visa USA, before spending time as VP of McKesson. Went on to found RxDividends, GoodRx, and Courage Health, and serve as VP/DM of Ro Pharmacy.
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