Data Science
Biotrial integrates Data Science solutions to explore beyond the boundaries of traditional clinical trials. Our team provides expert support for the exploitation of Real-World Data and the development of in-silico trials, helping to accelerate and enrich clinical research
Data Science expertise aligned with your clinical goals
As a full-service CRO, Biotrial integrates Data Science across a wide range of clinical research activities — from traditional trials to real-world evidence and in-silico modeling — ensuring insights that are both scientifically sound and regulatory-ready.
At Biotrial, we go beyond traditional approaches. Our Data Science capabilities integrate seamlessly into your clinical development programs, offering innovative solutions such as in-silico trials and Real-World Data analysis to enhance relevance, reduce timelines and support informed regulatory decisions. Learn more about how our advanced analytics can complement your clinical trial strategy.
In-Silico trials
Biotrial leverages in-silico trials—computer-simulated modeling of drug interactions and patient responses—to enhance drug development. Our services enable the prediction of treatment outcomes, optimization of study designs, and reduction of clinical trial risks and costs, supporting informed regulatory and clinical decisions through advanced computational methodologies.
Real World Data
Biotrial uses Real-World Data—health information beyond traditional trials—to improve drug development. Our services help understand disease trends, optimize trials, assess treatments in real settings, and support regulatory decisions, bridging the gap between clinical research and everyday practice.
Data standards
Biotrial ensures full alignment with data standards suited to your project’s objectives.
We offer:
- CDISC-compliant solutions (e.g., SDTM, ADaM) to support enriched clinical trials, such as those involving external control arms or in-silico simulations
- OMOP Common Data Model for the standardized use of Real-World Data in large-scale, reproducible analyses
Our standards-driven approach guarantees data quality, traceability and regulatory readiness at every stage of development and insightful outcomes across diverse research programs.
Data Tools
Biotrial empowers your research with versatile, high-performance data science tools designed for flexibility and innovation. Our toolkit includes:
- SAS®, R, and Python for scalable and precise data analysis
- Advanced Artificial Intelligence algorithms, including:
- Natural Language Processing
- Deep Learning
- Generative AI
These technologies allow us to extract, process and enhance the value of clinical and real-world data — ensuring rigorous, efficient and insightful outcomes across diverse research programs.
At Biotrial, our Data Science solutions are more than just technical services — they are strategic partnerships built to accelerate and strengthen your clinical development. Whether you're working with traditional trial data or Real-World Data, our team is ready to deliver tailored, compliant and impactful analytics that move your project forward with confidence.
Our team
Biotrial’s Data Science team brings together a diverse group of multidisciplinary experts dedicated to delivering precise and reliable results. Our specialists include biostatisticians skilled in advanced statistical modeling, machine learning engineers who design predictive algorithms, and artificial intelligence researchers focused on innovative data-driven solutions. Complementing this expertise, our computer science professionals develop customized software applications and analytical tools tailored to the unique requirements of each research project. This collaborative approach ensures that your data is not only expertly analyzed but also integrated into efficient, scalable workflows that support your specific scientific and regulatory goals.
Why choose Biotrial for Data Science services?
Biotrial ensures full alignment with data standards suited to your project’s with extensive experience in clinical research and a strong foundation in data analytics, Biotrial is uniquely positioned to harness the full potential of Data Science. Our multidisciplinary, client-focused approach ensures that solutions are tailored to your research goals while meeting regulatory expectations.
Partner with Biotrial to integrate Data Science in your clinical development programs, enhancing the relevance and applicability of your research findings, improving patient outcomes and supporting regulatory decision-making at every stage.