Full-Time
AI Research Scientist
Collate
11-50 employees
AI-driven documentation automation for life sciences
Compensation Overview
$150k - $350k/yr
San Francisco, CA, USA
In Person
 AI & Machine Learning (1) |
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- Strong background in machine learning, natural language processing, or related fields, with publications or equivalent experience.
- Ability to balance theoretical complexity and simplicity of maintaining and improving real world artificial intelligence applications in life science.
- Experience troubleshooting natural language processing performance gaps and improving applications using online and offline evaluation.
- Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow).
- Ability to bridge theory and practice — from new research ideas to real-world deployments.
- Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities.
- Motivation to apply AI research in life sciences, where rigor, safety, and impact matter deeply.
- Excitement to work in an early-stage environment where you help define not just the research, but the product and company direction.
- Explore new large language model prompt optimization, robustness of large language model applications and modeling approaches in machine learning, natural language processing, and reasoning.
- Prototype and validate AI capabilities that expand Collate’s product roadmap.
- Collaborate with engineering, product, and design to bring research into production.
- Develop evaluation frameworks to measure safety, reliability, and fairness.
- Share findings with the broader artificial intelligence community through publications and open collaboration.
- Help shape the long-term research agenda at Collate.
- Experience in translation is an added bonus
Collate provides an AI-powered platform that automates the creation and management of documentation for drug development, medical devices, and diagnostics. It works by generating, organizing, and governing regulatory and quality documents while offering data discovery and governance tools to ensure high-quality data assets. It distinguishes itself by offering an end-to-end, life-sciences–focused solution that covers drug, device, and diagnostic workflows in one platform, reducing manual work and speeding up approvals. Its goal is to shorten development and regulatory timelines so researchers can focus on discovery and bring life-saving innovations to patients faster.
Company Size
11-50
Company Stage
Series B
Total Funding
$125M
Headquarters
San Francisco, California
Founded
2025
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Collate raised $95M Series C at ~$1B valuation in May 2025.
- It serves ~50 customers including major pharma and device makers.
- Documents once taking seven months now complete in one month or less.
What critics are saying
- AI hallucinations in GxP docs cause regulatory rejection within 6–12 months.
- FDA/EMA tightening audit rules adds costly human layers, eroding time savings.
- SAP and Salesforce outcompete Collate in enterprise data governance by 2027.
What makes Collate unique
- Collate is GxP-compliant AI-native software for life sciences documentation.
- It maintains human-in-the-loop oversight for audits and patient safety.
- The platform delivers 50–90% time savings with over 90% accuracy.
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Benefits
Company Equity
Flexible Work Hours
Professional Development Budget
Growth & Insights and Company News
6 month growth
↑ 28%1 year growth
↑ 28%2 year growth
↑ 0%Biotech startup Collate, founded by Surbhi Sarna, has secured a $30 million seed fund to automate paperwork in the life sciences industry using AI. The funding round was led by Redpoint, with participation from First Round, Conviction Partners, and YC, valuing Collate at over $100 million. Collate aims to streamline documentation for diagnostic, medical device, and drug development companies, enhancing R&D and reducing time to market. Co-founders Nate Smith and Jigish Patel bring additional expertise.
Y Combinator's Surbhi Sarna has raised $30 million for Collate, a startup aiming to automate the tedious parts of running a life sciences business using AI.