Team

Clinical Data Science Experts
proven team
We are OmniScience
OmniScience is the trusted AI partner for leading life sciences organizations. By combining AI-native technology, deep clinical data science expertise, and an unwavering commitment to improving patient outcomes, we empower clinical research teams to confidently tackle strategic challenges.
OmniScience conference room
Our Mission
To empower clinical trial teams with leading-edge AI and data science capabilities, enabling them to bring treatments to patients faster.
Our Vision
We envision a future where clinical trial data is unified and translated into actionable knowledge - in real time. A future where clinical development teams achieve situational awareness to oversee trials effectively and make informed decisions. A future of maximum efficiency, reduced costs, and accelerated timelines, ensuring new treatments have the best chance to reach patients.
What We Do
OmniScience is a U.S.-based leader in clinical data science, dedicated to advancing clinical trials through innovative AI solutions. Our PhD-trained team is on a mission to empower clinical development teams with real-time insights that accelerate drug development and improve outcomes. At the heart of our work is Vivo, our award-winning, generative AI-powered platform. Vivo unifies clinical trial data to provide actionable intelligence, revolutionizing the way pharmaceutical companies manage trials. With Vivo, we’ve introduced the industry’s first AI control tower for clinical trial operations - pioneering the future of drug development.
Our Values
Our work matters - patients are waiting. We recognize that clinical trials are the only path to bring new therapies to patients in need. We inform strategic decisions with leading-edge AI to streamline trials, enabling pharma to bring more treatments to patients faster and at lower cost.

We are innovators.
We are creative, ambitious, and results-focused. We excel at solving real-world problems. We are captivated by challenges at the intersection of clinical research and AI.

Our customers are our partners.
We are a trusted partner to clinical trial teams. We succeed when our customers succeed. We always find a way.

We are curious.
We are continuous learners. We are curious and are open to changing our minds based on what we learn. Our focus on learning keeps us at the forefront of clinical research.

We are good colleagues.
We believe diverse viewpoints and collaboration yield the best outcomes. We are encouraging, respectful, solution-focused, and value our diverse team. We care about our colleagues and their wellbeing and professional growth.
Our Team
Extensive degrees in life sciences
Trained by leading academic institutions
unparalleled expertise
Our History
Built for complex clinical AI
GenAI grounded in science
Multi-modal intelligence at scale

Our History
Since our founding, OmniScience has partnered with over 50 life sciences teams, applying advanced AI and machine learning to hundreds of clinical trial datasets to support precision diagnostics, biomarker analytics, clinical trial analytics, clinical decision support, and market intelligence. Over the past five years, we’ve evolved from bespoke AI development to productizing our innovations, culminating in our flagship SaaS platform: Vivo.

Multi-modal clinical trial data
Our team has applied every AI/ML technique to every kind of clinical trial data - to create knowledge to support the development of many solutions.

Translating complex clinical trial data into knowledge
Our team has applied every AI/ML technique to every kind of clinical trial data - to create knowledge to support the development of many solutions.

  • We have analyzed wearables and DHTs to identify digital biomarkers of behavior from video, voice, ECG, EEG, and actigraphy data for complex CNS studies. Read more here and here and here.
  • We have applied machine learning to genomics and proteomics datasets to support precision diagnostics and drug development. Read more here and here.
  • We have modeled participant engagement to identify clinical trial participant dropout risk. Read more.
  • We have analyzed large clinical trial datasets to support clinical trial planning and feasibility.
  • We have conducted bespoke modeling of clinical trial data including novel medical devices to support oncology diagnoses and treatment decisions.  Read more here and here.
  • We have applied computer vision to radiology and pathology images to develop clinical decision support tools.  Read more here.
  • We have applied natural language processing (NLP) and genAI to many kinds of unstructured data to extract insights, sentiment, trends, scientific concepts, gene-disease-drug relationships, market intelligence, and more. Read more here, here, here, and here.

A decade ahead in language models
Our team’s work with NLP started in their PhD training in the early collaboration with IBM Watson, Baylor College of Medicine, and MD Anderson Cancer Center to mine scientific literature to support treatment decisions. ‍Before large language models (LLMs) entered the mainstream, we were already applying NLP to the hardest problems in biomedical data, extracting insights from fragmented datasets, synthesizing unstructured scientific content, and delivering language-driven biomarker analytics and decision support tools. Our early NLP work laid the foundation for the genAI era.

From analytics to actionable insights
With the advent of LLMs, we accelerated our innovation. By tuning language models with biomedical vocabularies and ontologies, combined with our expertise in working with complex clinical trial data, we created domain-specific solutions that are interpretable, robust, and impactful.

These capabilities are deeply integrated and grounded in scientific context, enabling better, faster decisions across clinical operations and strategy.

For more details about how we’re applying LLMs and genAI in our products, see our genAI whitepaper →

See How Vivo Transforms Data into Decisions
Transform clinical trials with OmniScience’s AI-driven platform, unifying real-time data for faster insights, reduced costs, and smarter decisions.