Clinical Data Quality Lead
PicnicHealthSan Francisco, Remote$170k – $200kPosted 24 February 2026
Job Description
<p>At <a href="https://research.picnichealth.com/" target="_blank">PicnicHealth</a>, we're building the future of non-interventional clinical research, <a href="https://picnichealth.com/picnicai" target="_blank">powered by AI</a> and centered on patients. Our mission is to make it radically easier, faster, and more affordable to perform clinical trials and get better treatments to patients. We're replacing the legacy, services-heavy model with a modern, AI-first approach that unlocks insights from rich, multi-modal data—from clinical notes and imaging to lab results—at scale. By engaging patients directly through our<a href="https://picnichealth.com/care" target="_blank"> personal health assistant</a>, PicnicAI, which meets them where they’re at and delights them along the way (with an industry leading NPS of 76), patients participate actively in the research they care about.</p>
<p>PicnicHealth is already a trusted partner to 7 of the top 10 pharmaceutical companies. Our work spans 40+ disease areas and has supported over 60 peer-reviewed publications, including an FDA submission that incorporates PicnicHealth data.</p>
<p>Founded in 2014, we’ve raised $100M+ from top investors like Amplify Partners, Felicis Ventures, B Capital Group, and Y Combinator. Our business running non-interventional studies more than doubled last year, and we’re growing even faster in 2025. We’re a team of doctors, patients, data nerds, engineers, and builders, reimagining how clinical research works — and we’re just getting started!</p>
<p><strong>The Opportunity</strong></p>
<p>As the Clinical Data Quality Lead, you will bridge the gap between complex clinical data and operational execution. You will own the integrity and validity of data across our growing non-interventional study portfolio, spanning data from EHRs, PROs, wearables, and ClinROs. </p>
<p>You will manage a team of Clinical Data Quality Managers working across our studies. Our team is well-versed in data abstraction and quality monitoring; we’re looking for a leader who knows how to scale that process and make high-stakes decisions in the face of ambiguity. In this role, you won't just supervise work and monitor compliance, but architect the engine that the team runs on. Crucially, you will partner with our Product teams to operationalize new data capabilities and help translate complex study needs into clear requirements for our platform.</p>
<p>At PicnicHealth, AI is at the core of everything we do. We're looking for individuals who are not just comfortable with, but genuinely excited by and actively experimenting with, the power and potential of AI.</p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li><strong>Lead Scale the Team: Lead, mentor, and scale a team of Clinical Data Quality Managers. </strong>You will foster a culture of high performance and decisive action, and evolve the function to support the requirements of a rapidly growing study portfolio. Define the Operational Quality Framework: Define and implement the overarching quality standards and operational processes to support our study portfolio. You will build scalable workflows across risk-based monitoring, escalation management, and critical data collection materials (e.g., CRFs, CRF guidelines, eClinRO scripts, abstractor training, etc.).</li>
<li><strong>Operationalize Diverse Data Sources</strong>: You are excited by the complexity of integrating non-EHR data sources like wearables, PROs, and virtual ClinROs. You will build the operational scaffolding for new data sources —whether that means drafting assessment scripts, hiring subject matter experts, or defining what "high quality" looks like for a novel data type.</li>
<li><strong>Drive Decision-Making in Ambiguity:</strong> Serve as the primary operational decision-maker for complex data quality considerations. When clinical guidelines are gray or source data is messy, you will make the calls required to keep studies moving, maintaining scientific rigor. </li> ... (truncated, view full listing at source)
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