Skip to content

Sourcing guide

How to Select a Bioanalytical Laboratory for Clinical Development.

Pharmacokinetic, immunogenicity and biomarker data are only as good as the assays that produce them. A bioanalytical laboratory that cannot validate a method on time, loses sample integrity in transit, or delivers data your PK and biometrics teams cannot use can delay a clinical program as surely as slow enrollment.

Selecting a laboratory is therefore a technical decision first and a commercial one second. This guide explains how to define what you need, which regulatory expectations apply to which assay types, how to compare laboratories on capability rather than marketing, and what to put in a request for proposal.

Published
November 3, 2026
Updated
November 4, 2026
Reading time
8 min read
For
Clinical pharmacology, clinical operations, CMC and outsourcing leads at emerging biopharma companies

Start by defining the analytical need

Laboratories specialize. A lab with deep small-molecule LC-MS/MS experience may have little ligand-binding capacity, and a strong immunogenicity group may sit in a different building, or company, from the PK team. Write down what you need before you talk to anyone.

Assay types and the main questions they raise
Assay typeTypical platformsRegulatory framingKey selection questions
Drug and metabolite concentrations (PK/TK)LC-MS/MS (small molecules, many peptides and oligonucleotides); ligand-binding assays (most biologics)ICH M10 [1]Is there an existing method? Required sensitivity? Matrix? Metabolites to measure?
Anti-drug antibodies and neutralizing antibodiesBridging immunoassays; cell-based or competitive ligand-binding NAb assaysFDA immunogenicity assay guidance for therapeutic protein products (2019); outside M10’s scope [3] [1]Tiered screening, confirmation and titer strategy? Drug tolerance? Positive control availability?
BiomarkersImmunoassays, LC-MS/MS, flow cytometry, molecular methodsFDA biomarker method validation guidance (2026); fit for purpose [2]Will the data support regulatory decisions or internal decisions only? Reference material? Endogenous levels?

Method development and validation

The single biggest driver of timeline and cost is whether a usable method exists. Ask early whether the laboratory has validated a method for your molecule or a close analogue, whether you will own the method, and what transfer from a previous laboratory would involve.

  • Full validation for regulated studies. M10 expects full validation of methods used for nonclinical toxicokinetic studies under GLP, nonclinical PK studies conducted as surrogates for clinical studies, and all phases of clinical trials, in the primary matrix [1].
  • Platform-specific competence. M10 has separate chapters for chromatographic and ligand-binding assays, covering topics such as critical reagents, dilution linearity and the hook effect for ligand-binding assays, and reinjection reproducibility for chromatography [1]. Ask the laboratory to walk through how it handles these for an assay like yours.
  • Partial and cross validation. Changing laboratories, sites or method versions during a program requires partial or cross validation [1]. If you may move work later, agree the data and documentation you will receive now.
  • Biomarkers are fit for purpose. FDA’s biomarker guidance expects full validation where biomarker data support regulatory decisions, such as pivotal safety or efficacy or labeled dosing, while assays for internal decisions can be validated to the extent the sponsor judges appropriate. It treats parallelism and the effects of sample handling and shipping as key characteristics [2].

Sample logistics and chain of custody

Many bioanalytical problems begin before the sample reaches the laboratory. Stability, shipping conditions and documentation errors can invalidate otherwise good assays, and biomarker stability under sample handling and shipping is called out explicitly in FDA’s biomarker guidance [2].

Checklist

Logistics to settle before first sample

  1. Collection, processing and storage instructions in the lab manual, aligned with validated stability
  2. Who supplies collection kits, and lead times for kit production
  3. Shipping conditions, couriers, and import or export permits for each country
  4. Sample receipt reconciliation against the manifest, and how discrepancies are resolved
  5. Long-term storage conditions, temperature monitoring and alarm response
  6. Retention, return or destruction of samples at study end, and consent constraints on future use
  7. Chain-of-custody documentation available for audit

Quality requirements and data integrity

Clinical sample analysis is conducted under GCP expectations; GLP regulations govern nonclinical laboratory studies supporting safety [1] [5]. A laboratory may cite GLP, GCLP, CLIA or ISO/IEC 17025. These are different things: FDA does not certify GLP compliance but inspects facilities, while some national GLP monitoring authorities outside the US issue compliance statements; GCLP is a published framework, not a regulation; a US CLIA certificate is needed where results are reported for individual patient diagnosis, treatment or health assessment, which research PK concentrations usually are not; and ISO/IEC 17025 is an accreditation for specific tests. Treat each as relevant only where it applies to your study type, and ask for the scope of any certificate or accreditation rather than accepting a logo.

The sponsor remains responsible for activities it transfers to a service provider. ICH E6(R3) expects sponsors to assess a provider’s suitability before selection, to have access to its relevant procedures and performance information, and to oversee subcontracted work [4]. Where a laboratory also performs GMP testing, such as release or stability testing of clinical supplies, FDA’s quality agreement guidance is a useful model (it is written for commercial manufacturing, but FDA says its principles can be applied to clinical trial materials), and it includes a scenario in which an owner failed to audit a contract laboratory that reported false passing results [7].

FDA’s data integrity question-and-answer guidance was written for drug CGMP records, and the MHRA’s GxP data integrity guidance for regulated records more broadly; their questions make a practical checklist for any laboratory producing data you will rely on [8] [9].

Questions to ask

Data integrity questions

  1. 1.Are chromatography and plate-reader systems validated, with audit trails enabled and reviewed? Who reviews them, and how often? [8]
  2. 2.How are reintegrations and reanalyses controlled, justified and documented?
  3. 3.Are user accounts individual, with no shared logins? [8]
  4. 4.What is the original record for each instrument type, and is dynamic electronic data retained rather than printouts? [8]
  5. 5.Which electronic systems hold regulated records, and how do they meet Part 11 controls? [6]
  6. 6.What data and metadata do you deliver with the bioanalytical report, and can we access raw data on request? [9]

Capacity and turnaround

Turnaround commitments matter most where PK data gate dose escalation or the next cohort. Ask for turnaround from sample receipt to reported concentrations for each study, the instrument and staff capacity behind it, and how the laboratory prioritizes when several sponsors need results in the same week.

  • Instrument time and analyst capacity for your platform specifically, not the laboratory overall
  • Turnaround for method validation, for routine batches and for urgent dose-escalation batches
  • Sample storage capacity at the required temperatures
  • Back-up plans for instrument failure
  • The format and timing of data transfers to your PK analyst or biometrics provider

The data transfer to your PK or biometrics team is a frequent friction point. Agree a data transfer specification early; see the clinical biometrics guide for the downstream requirements.

Compare cost and scope like for like

Bioanalytical cost drivers to normalize across proposals
ItemWhat to check
Method development or transferFixed fee or time and materials; what happens if development fails
ValidationFull or partial; the experiments included; stability durations; validation report
Sample analysisPrice per sample and assumptions on runs, repeats and failed batches
Incurred sample reanalysisIncluded, and at what percentage
Critical reagentsWho sources and pays for antibodies, reference standards and controls
Storage and shippingMonthly storage fees, kit costs, courier and import charges
Reporting and data transfersNumber of reports and transfers included
InvestigationsHow failed runs, investigations and ISR failures are charged

Questions to ask the laboratory

Questions to ask

Qualification questions

  1. 1.Have you validated a method for this molecule, or a similar one, and can you share a redacted validation summary?
  2. 2.Which version of which guidance will you validate against, and why? [1]
  3. 3.Who are the scientific lead and the study director or principal investigator, and what is their experience with this assay type?
  4. 4.What is your capacity on this platform over the next twelve months?
  5. 5.How many runs fail, and how many ISR assessments fail, for comparable assays?
  6. 6.Which work, if any, is subcontracted or performed at another site?
  7. 7.When were you last inspected by a regulator or audited by a sponsor for comparable work, and what were the findings?
  8. 8.How will you handle samples from multiple countries, including import permits?
  9. 9.What data, metadata and documentation will we receive, in what format?

Red flags

  • Validation plans with no reference to the applicable guidance, or that treat biomarker or ADA assays as if M10 applied unchanged
  • No incurred sample reanalysis in a proposal for a study where M10 expects it
  • Vague answers about which site performs the work
  • Reluctance to discuss failed runs, ISR failures or inspection outcomes
  • Price per sample far below peers, with exclusions for repeats and reagents
  • Shared instrument logins or audit trails that are “available if needed” but never reviewed

What to include in a bioanalytical RFP

Checklist

Suggested RFP content

  1. Molecule type and any available assay history, reagents and existing methods
  2. Analytes, matrices, required sensitivity and expected concentration range
  3. Study design: phase, number of subjects, sampling schedule and expected sample numbers
  4. Assay types needed (PK, ADA, NAb, biomarkers) and intended use of each result
  5. Applicable guidance and quality framework (GCP, GLP) for each study, including written notice where work is part of a GLP study
  6. Countries of sample collection and shipping expectations
  7. Required turnaround, especially for dose-escalation decisions
  8. Data deliverables, formats and recipients
  9. Timeline: method ready, validation report, first sample, final report
  10. Request for capacity confirmation, team names and recent inspection or audit outcomes

Use the bioanalytical directory to find laboratories whose public sources document your platform, modality and sample types, and compare them side by side before sending the same RFP to each.

From guide to shortlist

Explore 21 documented bioanalytical services providers

Filter by the criteria in this guide, read the sources behind each capability, and compare up to four providers side by side.

Open the bioanalytical directory

References

Each source was accessed on the date shown. Status is as stated by the publisher at that time; check for revisions before relying on a specific requirement.

  1. [1]M10 Bioanalytical Method Validation and Study Sample Analysis (opens in a new tab)ICH / U.S. Food and Drug Administration · Final guidance, November 2022 (ICH Step 4, 24 May 2022) · accessed November 3, 2026
  2. [2]Bioanalytical Method Validation for Biomarkers (opens in a new tab)U.S. Food and Drug Administration · Final guidance, April 2026 · accessed November 3, 2026
  3. [3]Immunogenicity Testing of Therapeutic Protein Products — Developing and Validating Assays for Anti-Drug Antibody Detection (opens in a new tab)U.S. Food and Drug Administration · Final guidance, February 2019 · accessed November 3, 2026
  4. [4]ICH E6(R3) Guideline for Good Clinical Practice (opens in a new tab)International Council for Harmonisation · Step 4; consolidated with Annex 2, adopted 16 June 2026 · accessed November 3, 2026
  5. [5]21 CFR Part 58 — Good Laboratory Practice for Nonclinical Laboratory Studies (opens in a new tab)U.S. Code of Federal Regulations (eCFR) · Current regulation (eCFR current to 30 October 2026) · accessed November 3, 2026
  6. [6]21 CFR Part 11 — Electronic Records; Electronic Signatures (opens in a new tab)U.S. Code of Federal Regulations (eCFR) · Current regulation (eCFR current to 30 October 2026) · accessed November 3, 2026
  7. [7]Contract Manufacturing Arrangements for Drugs: Quality Agreements (opens in a new tab)U.S. Food and Drug Administration · Final guidance, November 2016 · accessed November 3, 2026
  8. [8]Data Integrity and Compliance With Drug CGMP: Questions and Answers (opens in a new tab)U.S. Food and Drug Administration · Final guidance, December 2018 · accessed November 3, 2026
  9. [9]‘GXP’ Data Integrity Guidance and Definitions (opens in a new tab)Medicines and Healthcare products Regulatory Agency (UK) · Revision 1, March 2018 · accessed November 3, 2026

This guide is general information for experienced professionals, not legal or regulatory advice. Requirements vary by product, jurisdiction and development stage.

ArgusBio sourcing

Turn this checklist into a shortlist.

ArgusBio can help you define the scope, identify suitable providers, request proposals on the same assumptions, and compare them line by line. The decision stays with your team.

Discuss a sourcing need

We work for the biotech, not the vendor. Vendors do not pay for inclusion or placement.