Company

A scientific bioinformatics partner from the Heidelberg life-science ecosystem.

SciBerg e.Kfm was established in 2017 by scientists working at the prestigious German Cancer Research Center in Heidelberg. Today, we support academic laboratories, biotech companies, clinical collaborators, and industrial R&D teams with advanced NGS analysis, clinical genomics, AI integration, and custom computational workflows.

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Our story

Built by scientists for data-intensive biomedical research.

SciBerg is a private research and bioinformatics company located near Heidelberg, one of Europe’s leading centers for life sciences, molecular medicine, and computational biology.

Our work brings together PhD-level molecular biologists, bioinformaticians, and computational scientists with hands-on wet-lab understanding and long-standing experience in high-throughput sequencing data analysis.

We are especially focused on turning complex sequencing and omics datasets into reliable, interpretable, and publication-ready results for research, translational medicine, and industrial innovation.

2017 Established in the Heidelberg biomedical research environment.

DKFZ roots Founded by scientists working at the German Cancer Research Center.

Research-grade Analysis suitable for manuscripts, grants, reports, and partner deliverables.

Industrial-ready Custom pipelines, automation, reporting, and AI-enabled data workflows.

What defines SciBerg

Scientific rigor, flexible workflows, and modern AI-enabled bioinformatics.

Our work is designed for partners who need more than a black-box pipeline. We adapt the analysis to the biological question, the sequencing design, the reference system, and the desired level of interpretation.

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Validated pipelines

We use reliable, well-tested workflows for high-throughput sequencing data, with careful quality control and transparent reporting at each step.

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Customized solutions

Complex projects often require custom reference databases, adapted alignment parameters, tailored statistics, or specialized visualizations.

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AI integration

We integrate AI into bioinformatics workflows for automated reporting, knowledge extraction, literature-contextualized interpretation, and internal research assistants.

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Publication-ready outputs

We deliver clear figures, tables, methods descriptions, quality-control summaries, and reproducible analysis scripts for manuscripts and reports.

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Up-to-date software

Sequencing software and reference databases evolve continuously. We prioritize current, reliable tools and carefully documented parameters.

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Optimal price-to-quality

Outsourced expert analysis can be more efficient than maintaining internal bioinformatics capacity for every sequencing project.

Scientific focus

Where molecular biology, sequencing, clinical genomics, and AI meet.

SciBerg supports projects in fundamental biology, precision medicine, non-invasive diagnostics, biomarker discovery, and industrial bioinformatics automation.

Precision medicine and clinical genomics Analysis of DNA-seq, RNA-seq, panels, tumor biopsy, and liquid biopsy sequencing data.

Extracellular nucleic acids and liquid biopsy Bioinformatics support for non-invasive diagnostics and biomarker-oriented research.

Single-cell, small RNA, and multi-omics Custom analysis for data types that require careful preprocessing, interpretation, and visualization.

AI-enabled industrial workflows Scalable systems for repeated analysis, automated reporting, knowledge management, and decision support.

Partners we support

Flexible bioinformatics for research, translational, and industrial teams.

We collaborate with partners at different stages — from exploratory academic projects to repeated industrial analysis workflows and AI-enabled internal platforms.

Academic laboratories

NGS data analysis, publication figures, methods support, grant-related analysis, and reviewer-response support.

Biotech companies

Custom analysis pipelines, biomarker discovery, transcriptomics, genomics, and scalable reporting workflows.

Clinical collaborators

Clinically oriented analysis support for WGS, WES, panels, tumor sequencing, and liquid biopsy projects.

Industrial R&D teams

AI integration, knowledge extraction, automated reporting, reproducible pipelines, and internal bioinformatics systems.

Quality principles

Transparent, reproducible, and scientifically reviewed.

Biology-aware analysis

We interpret data in the context of experimental design, molecular mechanisms, and the biological question.

Reproducible workflows

Results are supported by documented tools, parameters, scripts, and analysis decisions wherever possible.

Human-reviewed AI

AI is used as a support layer for speed and scale, while scientific conclusions remain expert-reviewed.

Work with SciBerg

Bring us your sequencing, omics, or AI-bioinformatics challenge.

We can help define the analysis strategy, expected deliverables, timeline, and best workflow for your research or industrial project.

Contact SciBerg