TrialTwin :: About Us
We're a small, Spain-based data management consulting company.
We choose to be self-funded with no outside capital. This financial independence allows us to choose the kind of projects we work on.
Our team of experts crafts bespoke solutions to data management challenges faced by Life Sciences organizations.
We offer our clients a single point of accountability, with rapid decision‑making.
And our founder acts as each clients' dedicated success manager.
- Our clients benefit from:
Fixed cost, fixed timeline projects.
Direct access to our scheduling tool (Monday.com).
No Project Management on your side, we self-manage.
Working directly with developers writing the software
We're passionate about Life Sciences, and we want our clients to enjoy working with us.
- Our priorities are to be:
Human: all business is personal, we bring our whole selves to work.
Humble: we're not afraid to admit our ignorance and/or mistakes.
Humorous: life's too short, we make working with us fun.
Hungry: we want to contribute to solve real problems.
We're a 100% remote company where we put family first. The quality of life of our team members is crucial to the success of the company.
- Our definition of quality of life is:
look after your physical and mental health first
enjoy your family, this is just a job
live where you'd like to
do what you like to do
like the colleagues you work with
work for clients you like
constant, challenging growth opportunities
Sergio Alegria

Data Solutions Engineer
CDISC certified
Diego Caso

Software Developer Lead
CDISC certified
Jose C. Lacal

Chief Technology Officer
Published Papers
This paper presents a Python-based platform that generates Synthetic CDISC Clinical Trial Data at scale. The platform programmatically generates realistic synthetic persons (SynthPerson) that have a complete synthetic Personal Health Record (SynthPHR). Each SynthPerson lives in a series of geographically-accurate synthetic cities (SynthCity). Groups of SynthPerson are then randomly enrolled in a synthetic Clinical Trial (SynthTrial). Platform users define the parameters of each synthetic clinical trial and the platform generates all CDISC SDTM domains for the desired number of subjects.
PHUSE EU Connect 2023 - Human BioGeography
Human BioGeography: predicting clinical trials outcome using a 3D human body simulation and a GIS framework
Diego Caso, TrialTwin and Rocio Matesanz, PhD Student
Due to the limited success rate in clinical trials, with less than 20% of drug candidates progressing through all phases for marketing approval, novel innovative approaches remain essential to improve these statistics. This paper proposes a novel system combining relevant databases from different Open Data sources with a Geographic Information System (GIS) that will contribute to confront this challenge. By integrating information from several biorepositories, including previous reports of drug development processes, into a 3D simulation of the human body our system aims to identify determinants restricting clinical trial success. We call this "Human BioGeography" and is based on a hierarchy of anatomy => disease => therapeutic target => drug => chemical structure. This approach provides crucial insights for drug developers, offering data on aspects that influence drug approval rates, such as potential adverse events and drug viability and metabolism. This system is expected to improve both trial design and development processes, revolutionizing the clinical trial landscape.
PHUSE EU Connect 2023 - Metadata-Driven Platform
Sergio Alegria
Increasing Business Impact of Connected Standards with a Metadata-Driven Platform Regulatory agencies require sponsors of drugs, devices, and veterinary products to comply with specific standards and terminologies for all submissions. There are multiple Standards Organizations that develop and curate multiple data standards. Standards are available in many sources and formats, creating a complex ecosystem in the communications between Regulatory Agencies, Standards Organization, sponsors and CROs. While standards are a central piece in an organization’s operations, the management of said standards is a complex task that impacts the process of bringing a new product to the market. TrialTwin’s Data Standards Governor is a system that allows organizations to manage their own standards and terminologies, having a baseline of pre-loaded standards and terminologies from Standards Organizations (CDISC, LOINC, ..). The system provides organizations with tools to define connectivity between standards and terminologies to enhance metadata usability throughout the organization.
Contact Us
José C. Lacal, CTO
{Spain} +34 (674) 88 17 52
Data Santander, SL
San Fernando 16, 6C
39010 Santander (Cantabria)
Spain