Sr Data Scientist I

Company: Advarra

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-04-25

About this role

Company Information
At Advarra, we are passionate about making a difference in the world of clinical research and advancing human health. With a rich history rooted in ethical review services combined with innovative technology solutions and deep industry expertise, we are at the forefront of industry change. A market leader and pioneer, Advarra breaks the silos that impede clinical research, aligning patients, sites, sponsors, and CROs in a connected ecosystem to accelerate trials.


Company Culture
Our employees are the heart of Advarra. They are the key to our success and the driving force behind our mission and vision. Our values (Patient-Centric, Ethical, Quality Focused, Collaborative) guide our actions and decisions. Knowing the impact of our work on trial participants and patients, we act with urgency and purpose to advance clinical research so that people can live happier, healthier lives.


At Advarra, we seek to foster an inclusive and collaborative environment where everyone is treated with respect and diverse perspectives are embraced. Treating one another, our clients, and clinical trial participants with empathy and care are key tenets of our culture at Advarra; we are committed to creating a workplace where each employee is not only valued but empowered to thrive and make a meaningful impact.


Job Overview Summary
The AI Data Scientist will focus on optimizing, evaluating, and operationalizing advanced machine learning models within Advarra’s Braid platform—the intelligence layer connecting data, insights, and products across the clinical research ecosystem. This role emphasizes improving and fine-tuning large language models (LLMs) using proprietary datasets to enhance precision, recall, and contextual relevance across clinical and operational data.


Job Duties & Responsibilities

  • Focus on understanding existing models, assessing their performance, selecting optimal architectures, and fine-tuning them to meet spec...

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