Fast, flexible and precise biometric solutions for emerging biotechnology companies
Whether you're a small pharmaceutical, start-up or emerging biotech; it’s important that your study runs smoothly and avoids delays as every study is pivotal to your business.
With 32% of regulatory submissions failing on technical criteria due to data conformance issues, often resulting in over a year of delay, ensuring your data is the highest quality is critical to achieving regulatory approval.
Whether you’re lacking in-house resource, expertise, or simply want to ensure data accuracy, our biometric focus is tailored to solve your needs and results in high quality data, rapid resourcing and no delays in getting your drug to market.
Understand your drug’s/device’s efficacy and safety profile with expert statistical analysis of your clinical research data.
Ensure efficient trial designs, analysis and study planning to streamline your clinical development efforts to reduce costs and save time.
Turn un-interpretable validated clinical data into something meaningful with clinical trial reporting to make informed decisions and submission ready deliverables.
Flexible and modern data collection, capture and management methods for your research data to ensure error free and timely database locks in line with the latest regulatory guidance.
Give your regulatory submission the best chance for approval with well written regulatory documents throughout all stages of the drug development process.
Quanticate offers a fully compliant and high-quality complete package of pharmacovigilance services.
Ensure data standardisation and regulatory compliance to accelerate submission and approval processes.
Harness insights that support health economics and outcomes research (HEOR) through our specialist team support with observational studies and post-approval safety research.
Biotechnology usually requires a complex trial design and Quanticate’s statistical consultants are well rehearsed in complex studies. With a well-planned statistical analysis plan (SAP) at the start of the trial, and expertise in complex studies across the rest of our data services, we can support studies of any complexity.
With over 30 years of handling clinical data and statistical analysis, Quanticate has developed and refined industry leading automations and efficiencies that our biotech partners benefit from. In addition, advances in AI technology are driving the development of new internal tools that reduce timelines and improve quality for our clients.
Quanticate’s internal governance and project management ensure biotech companies receive efficiencies when outsourcing the full suite of biometric services to a single provider. Our clinical data management, statistical programmers, biostatisticians, and medical writers collaborate together to ensure the success of the biotech’s trial.
The safety profile of a biotech’s compound is critical to the success of their business, as the new treatment must be safe for patients in addition to effective. Quanticate’s pharmacovigilance services support biotech’s journeys ensuring safety throughout clinical development as well as post marketing reporting to meet all the necessary regulatory and safety requirements.
Biotech trials that encounter unexpected challenges can be problematic, especially if it appears to be demonstrating a failure of the compound in early analysis. As experts on rescue studies in clinical trials, you gain a partner committed to turning your clinical trial around. By improving data quality, making SAP amendments, performing re-analysis and clarifying endpoints, we can take over from a previous vendor to get your study back on track and set up for success.
It’s common for early and mid-stage biotech companies to have lean internal developmental infrastructure as they focus on a limited pipeline compared to larger drug developers. This brings speed and scientific focus to their operations, but it also means many capabilities needed for clinical development must be accessed externally, therefore making outsourcing a structural choice as much as a cost one. In addition, as biotech’s typically have a smaller pipeline than pharmaceutical companies, the success of the molecule is only more important to the success of the business.
To reach key milestones without overextending internal teams, biotech sponsors commonly use a mix of CRO and Functional Service Provision (FSP) models. FSP models can augment internal capability by embedding dedicated specialist roles or teams within the sponsor’s operating model, while CRO delivery models reduce internal burden by taking ownership of defined trial activities and study-level deliverables. Large pharmaceutical companies also outsource, doing so from a position of established infrastructure and mature processes, while biotechs often rely on more integrated external support until internal capabilities develop.
A key operational decision is whether to use multiple vendors or consolidate. Some sponsors choose best-of-breed suppliers, for example, separate providers for clinical operations and biometrics, or different specialists for data management, statistical programming, and biostatistics. This can improve performance, however, coordinating multiple providers increases governance effort and can introduce handoff risk, misalignment on data standards, and avoidable delays.
For many biotech companies, the most effective consolidation point is within biometrics. Clinical development programmes often depend on specialist vendors such as biometric CROs to handle clinical data and statistical analysis. Selecting one biometric CRO such as Quanticate to deliver data management, biostatistics, programming, and medical writing under a single governance model can centralise oversight, reduce complexity, and preserve flexibility. Biotech sponsors can then choose the most suitable approach for clinical operations separately, while keeping biometrics consistent, submission-focused, and accountable.
When partnering with a biometric CRO such as Quanticate, biotech companies can expect the following benefits:
We help you avoid rework and delays by building quality and compliance into your data with clean standards, traceable outputs, and submission-ready deliverables that stand up to regulatory scrutiny.
You get direct access to experienced biostatisticians, programmers, and data experts who can challenge assumptions, de-risk decisions, and guide strategy.
From adaptive designs to rare disease, oncology, and biomarker-heavy programmes, we’re set up to handle complex trials with clear SAPs, robust programming, and analysis that ensures your studies’ success.
Whether you need a single expert or a full biometric team, we can plug in quickly and scale up or down as milestones change to match your requirements.
Our proven automations and refined processes reduce times and manual handling, helping you hit timelines while maintaining accuracy, consistency, and auditability.
Outsource the full suite of data management, statistics, programming, medical writing (and safety support where needed) with joined-up governance and project management to bring efficiencies to cross team collaboration and communications.
We offer flexibility with a range technology vendors across EDC providers and safety databases to accommodate budget conscious clients.
Biotechnology in clinical research is the use of biological systems and living organisms to develop, test, and improve new medical treatments to improve human health. In contrast to pharmaceuticals that focus on the development of chemical compounds, biotechnology uses molecular biology for new drugs and therapies, and typically comes in the form of personalised medicine, cell and gene therapy (CGT), vaccines, and biologics like monoclonal antibodies.
Biotech companies typically work with CROs when they need to progress clinical programmes quickly without building large internal teams. Rather than hiring permanent specialists for activities such as clinical data management, statistical analysis, and trial reporting, many biotechs outsource to CROs to access experienced teams, proven processes, and established infrastructure on a flexible basis. This approach helps control costs, reduce operational risk, and maintain focus on core scientific and strategic priorities, especially when timelines and funding milestones are critical.
A full-service clinical CRO can simplify governance by managing a broad range of trial activities under a single contract, which is an attractive option for lean biotech teams. However, biometrics is the area most closely tied to data conformance, statistical integrity and regulatory acceptance, and it is also where many trials encounter avoidable issues.
A specialist biometric CRO brings deep expertise in data quality, statistical design, analysis, and reporting. For biotech companies running complex or data-intensive studies, this focused expertise reduces rework, supports clearer decision-making, and increases confidence in regulatory submissions. By working alongside a clinical CRO, a biometric CRO allows sponsors to retain the governance benefits of clinical delivery while ensuring biometrics receives the specialist attention it requires, without adding unnecessary operational overhead.
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