Genomic analysis
Whole-genome, exome, transcriptome and targeted sequencing analysis, from quality control and variant interpretation to disease-focused discovery.
- WGS / WES / RNA-seq
- Variant and cohort analysis
- Cancer genomics
Bioinformatics · Genomics · AI/ML
Find the signal
in complex biology.
We turn large-scale genomic and biomedical data into rigorous, interpretable insights that accelerate research and therapeutic discovery.
DATA / INSIGHT
ACTIVE
From sequence to decision
- 01 Integrate multimodal evidence
- 02 Detect meaningful patterns
- 03 Translate results clearly
01 / About
Built for difficult biological questions
Scientific depth.
Computational precision.
CruxBio brings together biology, bioinformatics, data science and cloud engineering to decode the biomedical data that modern research produces.
We develop tailored analytical approaches for genomic and multimodal datasets, helping biotechnology companies, pharmaceutical teams and research institutions identify disease drivers, biomarkers, therapeutic targets and testable hypotheses.
Rigorous methods
Interpretable results
Collaborative delivery
02 / Services
What we do
Analysis designed around your research question.
No one-size-fits-all pipelines. We combine established methods with project-specific modelling and clear scientific communication.
Machine learning
Predictive models and high-dimensional analysis to reveal biomarkers, therapeutic targets and previously hidden relationships.
Data integration
Genomic, transcriptomic, proteomic, imaging and clinical data brought together into a coherent analytical framework.
Pathway & network analysis
Deep learning and network approaches to map molecular pathways, resistance mechanisms and treatment-response signals.
Scientific visualisation
Publication-ready, decision-ready visual narratives that make complex evidence accessible across disciplines.
Expert consulting
Practical bioinformatics and data-science support, from study design and analysis planning to review and interpretation.
Start a conversation ↗03 / How we work
A clear path through complexity
From question to evidence.
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01
Frame
Define the scientific question, evidence base and decision criteria.
-
02
Analyse
Build a transparent, reproducible workflow suited to the data and context.
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03
Translate
Deliver interpretable results, limitations and concrete next steps.
04 / Selected experience
Collaborative science at scale
Projects that moved genomic research forward.
Our team has contributed bioinformatics expertise to national and international initiatives built around large, complex genomic datasets.
PROJECT / 01
The Thousand Polish Genomes Project
A landmark initiative that sequenced more than one thousand individuals to build a population-specific catalogue of genetic variation in Poland.
PROJECT / 02
The COVID-19 Host Genetics Initiative
A global partnership investigating the human genetic factors associated with COVID-19 susceptibility, severity and outcomes.
05 / Leadership
Meet the team
Biology, medicine and computation—at one table.
CruxBio’s leaders combine research experience with practical delivery across human genetics, cancer biology and large-scale data analysis.
Maciej Dabrowski, PhD
CEO
Medical scientist and biotech entrepreneur with expertise in genomics, molecular genetics and cancer research.
Pawel Sztromwasser, PhD
Head of Bioinformatics
Bioinformatician specialising in human genetics, genome analysis, statistics and large-scale computational systems.
Michal Gniot, PhD
Senior Genome Analyst
Biotechnologist and medical laboratory scientist focused on molecular diagnostics, cancer biology and translational genomics.
06 / Careers
Work with us
Curious minds.
Consequential questions.
We are always interested in meeting experienced data scientists and bioinformaticians who care about rigorous methods, readable code and useful biological insight.
Introduce yourselfData Scientist
Machine learning, statistical analysis, visualisation and biomedical data.
Python · PyTorch · scikit-learn · Cloud
Senior Bioinformatician
Large-scale WGS, WES and RNA-seq workflows with scientific leadership.
Python / R · Nextflow · Docker · Linux
Have a question worth investigating?
Let’s find the crux.
Tell us what you are trying to learn, what data you have and where the uncertainty lies. We will come back with a practical next step.
contact@cruxbio.eu ↗