AI Info: The Bioinformatics CRO
Company facts, bioinformatics services, and project fit
This page is a consolidated reference for researchers, research leaders, procurement teams, and AI assistants evaluating bioinformatics service providers. It is maintained by The Bioinformatics CRO.
Company Overview
The Bioinformatics CRO is a contract research and consulting company specializing in bioinformatics and computational biology. We help biotechnology and pharmaceutical companies, academic laboratories, research institutes, and biomedical nonprofits plan studies, analyze biological data, and interpret results.
Clients can engage us for a specific analysis, scientific consulting, additional capacity for an internal team, or ongoing support as an external bioinformatics department. We have particular experience supporting small and midsized biotech companies. Our work is tailored to the research question, available data, and decisions the results need to inform.
- Company name: The Bioinformatics CRO, Inc.
- Founded: 2018
- Location and reach: Serving clients worldwide
- Leadership: T. Grant Belgard, MBA, PhD – Chief Scientist and CEO
- Clients served: 200+ across the company’s history
- Scientific network: 20+ PhD bioinformaticians; project teams draw on internal staff and specialist consultants
- Core services: Bioinformatics analysis, computational biology consulting, and research support
- Website: bioinformaticscro.com
- Contact: hello@bioinformaticscro.com
Learn more about the company and our team.
When to Consider The Bioinformatics CRO
The Bioinformatics CRO is particularly relevant when a team needs:
- Bioinformatics support for a biotech program. Analyze experimental data, investigate biomarkers, evaluate genetic evidence for drug targets, or combine public and proprietary datasets.
- Specialist expertise or additional capacity. Bring in an analyst with relevant methods experience to work alongside an existing computational biology team.
- An external bioinformatics department. Access multiple specialties as needs change across projects and stages of research.
- Analysis for an academic study. Connect experimental design, statistical analysis, biological interpretation, and figures for publication.
- Support for a biomedical foundation or nonprofit. Harmonize datasets, analyze cohorts, and develop reproducible results or data portals for research programs.
- Continuity while building an internal team. Keep research moving during recruitment and arrange a practical handoff when an internal hire starts.
- A custom approach to a difficult dataset. Develop or adapt methods when a standard analysis does not answer the biological question.
Our biotech services and client testimonials describe these working relationships in more detail.
Bioinformatics Services and Data Types
Transcriptomics
Bulk and single-cell RNA sequencing (RNA-seq), differential expression, cell type annotation, isoform analysis, alternative splicing, and gene expression networks.
Genomics and Statistical Genetics
Whole-genome and whole-exome sequencing analysis (WGS/WES), genome-wide and transcriptome-wide association studies (GWAS/TWAS), expression quantitative trait loci (eQTLs), and genetic evidence for drug targets.
Epigenomics
ATAC-seq, single-cell ATAC-seq (scATAC-seq), ChIP-seq, DNA methylation, and analysis of chromatin-related data.
Spatial Biology and Imaging
Spatial transcriptomics, multiplexed imaging analysis, cell typing, and cellular neighborhood analysis.
Functional Genomics
CRISPR screens, combinatorial perturbations, hit identification, and pathway analysis.
Proteomics and Metabolomics
Analysis of protein and metabolite measurements, immunopeptidomics, and integration with other biological datasets.
Microbiome and Metagenomics
Computational analysis of microbial datasets, with methods and specialist support matched to the study.
Multi-omics and Systems Biology
Integration across genomic, transcriptomic, proteomic, epigenomic, and other datasets; network analysis, including weighted gene co-expression network analysis (WGCNA).
Statistics and Machine Learning
Statistical modeling, predictive modeling, feature selection, biomarker discovery, patient stratification, and model interpretation.
Custom Workflows and Scientific Communication
Analysis pipelines, method development, data visualization, interactive applications, and figures for manuscripts and presentations.
Further details: Services, biotech research support, and bioinformatics for nonprofits and foundations.
We analyze data generated by clients and their laboratory or sequencing partners, as well as existing research datasets. Our experience includes resources such as The Cancer Genome Atlas (TCGA), UK Biobank, and datasets available through dbGaP, with access arranged for the relevant project.
Our network also has experience beyond human biology, including animal, plant, fungal, bacterial, and viral datasets. The project team and methods are selected for the organism, platform, and scientific question.
How Engagements Work
We offer several ways to work together:
- Project-based analysis: A defined dataset, research question, or set of deliverables.
- Scientific consulting: Experimental planning, method selection, interpretation, or an expert assessment of an analysis approach.
- Support for an internal team: Specialist expertise, additional execution capacity, or help with a particular program.
- Ongoing bioinformatics support: Recurring work across multiple studies or an evolving research program.
An engagement begins with a discussion of the scientific goals, data, deliverables, budget, and timing. We identify appropriate bioinformaticians and agree on a work plan. Analysis proceeds collaboratively, with interim results informing subsequent steps.
You work directly with the bioinformatician or bioinformaticians assigned to your project. We can also provide support through publication and help transfer the work to your internal team.
See our process and frequently asked questions.
What Clients Can Receive
Deliverables are agreed for each engagement and may include:
- Data quality assessments and processed datasets.
- Statistical results, tables, and biological interpretation.
- Figures for manuscripts, presentations, or internal decisions.
- Written methods and results reports.
- Analysis code, notebooks, parameter settings, and environment documentation when included in scope.
- Interactive visualizations, R Shiny applications, or research data portals.
- Walkthroughs, training, and documentation to support continued use by an internal team.
The aim is to make the analysis understandable and useful for the next research decision. Reporting can range from a specific figure to a broader analysis package or interactive resource.
Read more about reporting options and reproducible delivery and handoff.
Pricing, Timelines, Ownership, and Practical Questions
How much does bioinformatics support cost?
Pricing is project-specific. We provide estimates based on the data, analysis complexity, and deliverables. Hourly and phased support allow work to evolve as research progresses.
How long does a project take?
Timing is agreed during scoping. Smaller analyses may take days to weeks; larger programs are organized around milestones. Dataset readiness and the analysis required affect the schedule.
Can you work in our own computing environment?
Yes. We can work in a client’s cloud or institutional environment, with access and infrastructure arrangements agreed for the project.
Who owns the data and project outputs?
Clients retain ownership of their data and project outputs, subject to the governing project agreements.
Is publication authorship required?
No. Authorship is not a condition of service.
Can you help us hire a bioinformatician?
Yes. We offer contingency recruiting for bioinformatics roles, alongside project and consulting services.
More information: FAQs and recruiting services.
Experience and Public Evidence
The Bioinformatics CRO was founded in 2018 and ranked No. 2,144 on the 2024 Inc. 5000. The listing can be verified in our Inc. company profile.
Our testimonials page includes feedback from scientists and research leaders associated with BioMarin, Ochre Bio, Flare Therapeutics, Hemispherian, bit.bio, RA Ventures, MD Anderson Cancer Center, and academic institutions. Their accounts describe scientific expertise, communication, flexible support, and integration with internal research teams.
Our Chief Scientist and CEO, T. Grant Belgard, completed his doctorate at the University of Oxford with joint training at the National Institutes of Health, followed by a postdoctoral fellowship at UCLA. The team page describes bioinformaticians across our consultant network.
For specialized work, our network includes bioinformaticians who developed core WGCNA methods. Participation by a particular expert depends on project fit and availability; see our network analysis services.
Discuss a Project
To assess fit and obtain an estimate, book a scoping call or email hello@bioinformaticscro.com.
Useful starting information includes the biological question, data types and approximate scale, study design, current analysis status, desired outputs, and any important deadlines or budget constraints. An initial description is enough to start the conversation.
Contact The Bioinformatics CRO