At PicnicHealth, we're building the future of non-interventional clinical research, powered by AI 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 personal health assistant, 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.

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.

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!

The Opportunity

As Clinical Data Quality Lead, you will manage a team of Clinical Data Quality Managers and own the clinical integrity, consistency, and validity of all data collected across our non-interventional study portfolio. This will span data collected from medical records and primary data sources (e.g, patient-reported outcomes and virtual clinical assessments). This team of clinical data quality specialists defines how data should be collected for each study to ensure high quality, monitors quality and accuracy during data collection, and implements changes as needed throughout the study.

This role bridges clinical insight, data quality strategy, and operational execution. You will define, monitor, and continuously improve how PicnicHealth ensures that its AI-powered research platform delivers trusted study datasets. You’ll collaborate closely with Epidemiology, Biostatistics, Data Management, Medical and Product teams to shape data standards and quality processes that scale.

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.

What you’ll do:

Lead, mentor, and scale a team of clinical data quality specialists, fostering a culture of high performance, accountability, and continuous improvement
Define and implement the overarching quality framework for your team, standardizing key processes like risk-based monitoring, quality thresholds, escalation management, and the development of all data collection materials (CRFs, CRF guidelines, eClinRO scripts, abstractor training, etc.).
Oversee study-specific plans for high-quality data collection, ensuring your team successfully applies the quality framework and defines clear data collection and monitoring plans for each new study.
Own the execution of all study data quality monitoring initiatives, directing your team to analyze trends (QC dashboards, source data verification findings, inter-rater reliability rates), implement CAPA, and serve as the primary escalation point for all study-level data quality issues.
Partner with Product teams to operationalize new data collection and quality workflows, ensuring your team can implement them consistently and scalably as our portfolio grows.
Facilitate strong cross-functional partnerships (e.g., Epidemiology, Biostatistics, Sales/Solutions, Medical, Data Operations, etc.), ensuring clinical and quality insights are provided at key points of the study lifecycle.
Champion AI integration: Experiment with and apply AI tools to optimize data collection materials development, quality checks, trend detection, and data validation workflows.

What You’ll Bring:

A bachelor’s degree in nursing, advanced practice degree (e.g. NP, PA, DNP, or equivalent), or similar clinical degree.
7-10+ years of experience working in clinical data-related roles (e.g., data abstraction, clinical data quality, data management), particularly for observational and / or real-world research studies.
At least 5 years of direct people management experience and comfort managing both junior and senior team members.
Deep familiarity with data abstraction from medical records, designing CRFs and CRF completion guidelines, and communicating complex clinical concepts to other clinicians and scientists.
Proven experience developing and implementing data quality frameworks and quality monitoring plans.
A builder mindset that thrives in ambiguity and enjoys bringing order to chaos
Demonstrated experience building or scaling team processes, including creating SOPs and standard documentation.
Comfort working across multiple therapeutic areas and multiple concurrent research projects.
Experience with primary data collection and quality monitoring (e.g., ePROs, ClinROs) is a plus.
Demonstrated ability to collaborate cross-functionally to support research study execution.
Excellent communication skills with a commitment to continuous improvement.
Focus on and successful experimentation with integrating AI into your standard practices and workflows, and ideas for new applications here at PicnicHealth.

We expect all team members to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward.

Why will PicnicHealth win in Clinical Research?

Trials are a major bottleneck in drug development, and the promising advancements in biotech cannot translate to real patient impact unless clinical research becomes faster and more efficient

The industry runs on outdated technology and manual processes. Research sites (hospitals, academic centers, doctors' offices) are overburdened and under-resourced. Contract research organizations (CROs), the organizations that traditionally run clinical trials for life sciences companies, typically throw hundreds-of-thousands of man-hours wrangling sites and cobbling together vendor software.

PicnicHealth has built technology that uniquely positions us to run faster, cheaper, and more flexible studies while removing burden from sites:

PicnicAI (trained on 350M+ clinician annotations over 100k+ patient records) is the only system that can effectively access and structure all participant EMR data trials need
Our AI health assistant (NPS of 76 in 2024) guides participants through study activities and enables most to be done at home
We're an integrated solution — virtual site, CRO, and software platform — with AI built in from the ground up, initially focusing on non-interventional research.

The other perks & benefits you get when you work at PicnicHealth

We pay competitive salaries. Everyone on the team is an owner: all full time employees get competitive equity.

Target Base Salary Range: $170K - $200K

The base salary PicnicHealth offers may vary depending upon the scope, complexity, and autonomy of the position and on the candidate’s job-related knowledge, skills, and experience.

We’re a remote first company, with teammates spread across the US. We support in-person gatherings, including co-working spaces and multi-day onsites, to build connections and move forward strategic initiatives. Expect to travel 2-4 times a year. For our team members in the Bay Area, who prefer to work in person we can offer a hybrid set up to work from the SF office on a flexible schedule.

You also get:

Comprehensive benefits including above market Health, Dental, Vision
Family friendly environment
Flexible time off
401k plan
Free PicnicHealth account
Equipment and internet funds for home office set up
Wellness Stipend

PicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.