Clinical Specialist, Generative AI Data
LIND AI
San Mateo, california
Job Details
Full-time
Full Job Description
Who We Are
We are a team of engineers, data scientists, clinical research professionals and clinicians who believe that every patient deserves access to the best possible treatment options—no matter who they are, where they live, or where they receive their care. We're breaking down barriers to clinical trial access by developing an AI-powered solution that can analyze a patient's medical records to identify the most promising clinical trials available to them.
Our approach is centered on empowering patients and clinicians with the right information at the right time. By providing transparent insights, our products help equip care teams and patients with the information they need to make educated, confident decisions. We aim to break down the barriers to treatment access and transform how care is personalized for each individual.
About the Role
As a Clinical Specialist with expertise in generative AI data, you will be essential in developing intuitive tools that support patient-centered clinical trial matching. Your clinical expertise, coupled with your experience with health data and product, will enable you to influence the quality, accuracy, and usability of our current solutions. By collaborating closely with cross-functional teams, you’ll help deliver impactful, scalable solutions that empower patients and clinicians with trusted, actionable insights.
Key Responsibilities:
- Develop and optimize prompts and guidance to enhance the performance and reliability of generative AI models.
- Evaluate generative AI outputs to ensure clinical relevance, accuracy, and applicability within our clinical trial matching product.
- Provide expert clinical labeling on datasets, establishing a gold standard for comparison and model validation.
- Apply your clinical expertise and understanding of patient needs to drive continuous product improvement and innovation.
- Apply your knowledge of health data ontologies and standards to enhance data interoperability and support accurate data interpretation within our clinical trial matching product.
Requirements
Minimum Qualifications:
- Advanced practice degree (e.g., NP, PA, DNP, or equivalent) with at least 3 years of clinical experience post-certification. 2+ years of oncology experience required.
- Experience assessing patient eligibility for clinical trials or participating in the enrollment of patients onto clinical trials.
- Strong understanding of health data production and application, particularly in consumer health and clinical care settings.
- Proven ability to collaborate effectively within multidisciplinary teams, working closely with product management, engineering, and R&D professionals from diverse, non-clinical backgrounds.
Preferred Skills:
- Proven experience in evaluating generative AI outputs, with familiarity in safety protocols and demonstrated expertise through peer-reviewed publications or product development experience.
- Background in bringing digital health products from the concept stage to clinical or market application.
- Familiarity with health data ontologies and standards, enabling effective interpretation of structured health information.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Work From Home
- Free Food & Snacks
- Stock Option Plan