Next-Generation Sequencing Experts in Germany
matched in minutes from over 15,000 CVs with the power of AI.Hire experts who design NGS workflows, run Illumina and other sequencing pipelines, and turn raw reads into clear variant, expression, or metagenomic results. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Next-Generation Sequencing
Kacper Kowalski
Last position:
Author
Seqnaut and Sycosm (WIP) – Embedded Audio DSP & Synthesis Platform
- Embedded audio DSP framework — synthesizers, effects, drum machines; modular audio graph
- Sequencing: PianoRoll, StepGrid, MasterClock; 8-voice polyphonic synth; CLI + OSC
- Transient Detector — dual-envelope adaptive threshold, guitar attack detection
- Hardware: Teensy 4.1, custom AFE design tapping BOSS GX-100; MIDI FX integration
Label: C++23, C, Python, CMake, FreeRTOS, Teensy 4.1 (ARM Cortex-M7), Teensy Audio (Stoffregen), DaisySP, I2S/SAI, OSC, MIDI
Kevin Baßler
Last position:
Procurator and AI Lead at ValueData GmbH
- Serve as AI lead for life-science solutions, integrating advanced AI models directly into company workflows and ensuring seamless deployment.
- Design and implement deep learning architectures (PyTorch, Keras) for complex biomedical challenges, including cell segmentation, multimodal omics analysis, and prediction of point clouds.
- Develop and deploy robust LLM-based systems, including RAG architectures and agentic workflows using LangGraph, to facilitate natural-language interaction with complex medical data.
- Lead cross-functional initiatives to apply foundation models and explainable AI (xAI) to clinical and evolutionary algorithms.
Jürgen Von Strohe
Last position:
Freelance Consultant at Freelance
- Temporary support for several medium-sized companies in the Osnabrück area in project management
- Preparation and launch of large projects with budgets of around EUR 20 million or more in machine and plant engineering
- Risk management, project definitions, head of design
Dmitriy Drichel
Last position:
Freelance Senior Data Scientist at Merck KgaA
- AWS
- Genedata Profiler
- Data Lake
- APIs
- Rstudio
- GitLab
- Python
- R
- Data acquisition, integration, and simulation
- Multiplex immunofluorescence
- Copy-number variation calling
- HLA typing and loss-of-heterozygosity analysis
- RNA expression analysis
Ebenezer Ntiriakwa
Last position:
Applied Data Science & AI Bootcamp
- Prototyped LLM/RAG document assistant; trained transcriptomics and proteomic data; used Git/Docker for reproducibility.
- Strengthened ML fundamentals applicable to omics (feature engineering, validation, leakage control).
Mathew Divine
Last position:
Data Science Expert and AI Strategist at Freelancer
- Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
- Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
- Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
- Utilized OBS and professional audio equipment to ensure high-quality video and audio content
- Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
- Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation
Muhammad Usman
Last position:
Research Assistant at Saarland University
- Applied AI-driven CADD methodologies for biosynthetic pathway optimization and molecule screening.
- Integrated synthetic biology with computational chemistry workflows for rapid in-silico experimentation.
- Automated ML pipelines using Python, PyTorch, and Scikit-learn on Linux, improving model testing and reproducibility.
Nandkishor Virani
Last position:
Bioinformatics Analyst at Dr. Omics Research Lab
- Analyzed large-scale genomic, transcriptomic, and proteomic datasets using bioinformatics tools and pipelines.
- Performed data preprocessing, quality control, alignment, and variant identification using platforms like Python, R, and Linux-based tools.
- Conducted statistical and computational analyses to identify biomarkers, gene expression patterns, and functional annotations.
- Collaborated with laboratory scientists to integrate bioinformatics results with experimental data.
Pawandeep Singh
Last position:
Research Technician at QIMA Monasterium GmbH
- Establishing flow cytometry experiments, including NGS workflow antibody panel design, to investigate how various drug treatments affect TNF receptor expression and influence activation and exhaustion of human-derived T cells.
- Conducting projects on the effects of various drug treatments on a human ex vivo wound healing skin model, performing PAS staining and quantifying the length of the epithelial tongue following injury.
- Investigating effects of drug treatments on hair follicles and ex vivo wound healing skin samples at the transcriptomic level by analyzing expression of specific target genes using quantitative PCR (qPCR).
- Managing daily ordering and inventory of laboratory consumables and equipment, following ISO 9001 standards.
Pierre Joubert
Last position:
Postdoctoral Researcher at Anna Poetsch’s Biomedical Genomics group, Dresden
- Benchmarked multiple LLMs for genomic prediction tasks, ensuring rigorous evaluation across architectures and datasets.
- Extended and streamlined in-lab LLM architecture, enhancing interpretability and broadening applicability.
- Identified sequence and epigenetic factors underlying human genome stability, enabling deeper insights into their distinct roles in genome biology.
- Mentored and designed projects for several master’s students and interns, leading to highly graded reports and development of pipelines with lab-wide applications.
Ravindra Garde
Last position:
Postdoctoral Researcher at Helmholtz Institute for Infection Research
- Developed an agent based model to elucidate the dose-uptake discrepancy of antibiotics in bacteria
- Fostered collaboration with microbiologists to develop a data driven framework for antibiotic dosing
Ege Okumuş
Last position:
Guest Researcher, Dunkelmann Lab, Plant Synthetic Biology at Max Planck Institute of Molecular Plant Physiology
- Developed and maintained data analysis pipelines for plant synthetic genomics with a focus on chloroplast engineering.
- Developed a pipeline to detect true NUPTs (nuclear plastid DNA insertions) in plant genomes using long-read sequencing data.
Rebecca Sadler
Last position:
Senior Territory Manager, Scientific Advisor and Business Development Strategist at VectorBuilder
- Provide tailored scientific advice on gene delivery strategies to pharma and academic partners, rapidly assessing complex project needs and aligning them with vector design and service capabilities.
- Plan CRO projects for our team to execute.
- Work closely with the CDMO team, gaining exposure to regulatory requirements and manufacturability considerations.
- Key member of the business development team; recently began shaping strategic collaborations to expand company capabilities and market reach.
- Achieved 52 percent territory revenue growth in 2024 by combining scientific insight with strategic consulting and customer engagement.
- Contributed to internal capability building through onboarding, mentoring, and knowledge-sharing across national teams.
Anthony Pouillen
Last position:
Aerospace Engineer & Process Consultant at Sequentia Aero
- Lead and support industrial projects
- Design and validate robust methods and processes
- Optimize technical and managerial workflows
- Source and qualify suppliers, manage tenders and contracts
- Oversee logistics flows and first deliveries
- Monitor obsolescence and KPIs (cost, quality, lead time, inventory)
- Develop training modules and technical tutorials
- Train teams and enhance technical skills
- Track and measure effectiveness of improvement actions
Felix Kokocinski
Last position:
Director at Gene-Test Bioinformatics Solutions GmbH
- Founding and running the company to deliver consulting work
Discover over 15,000 top freelancers
Statistics of experts using Next-Generation Sequencing
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.8 years
Positions per freelancer
8
Top business areas
Research and Development, Information Technology, Product Development
Top industries
Biotechnology, Education, Pharmaceutical
Certification focus areas
Business Intelligence, Research and Development, Information Technology
Bachelor's degree or higher
100%
Master's degree or higher
87%
Doctorate
53%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Next-Generation Sequencing
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What NGS covers
Next-Generation Sequencing, often called NGS, is used to read DNA or RNA at scale and turn samples into data for research, diagnostics, and quality control. Teams use it for variant discovery, gene expression, targeted panels, whole-genome work, and metagenomics. In Germany, it appears in biotech, pharma, clinical labs, and academic cores.
Typical work
- Build or improve sequencing workflows from sample to report
- Set up analysis for FASTQ, BAM, VCF, and count data
- Tune QC, trimming, alignment, and variant calling steps
- Support panel, exome, RNA-seq, and microbial studies
- Document methods for review, transfer, or validation
Tooling around it
Strong NGS specialists work across wet-lab and bioinformatics boundaries. They know common platforms such as Illumina and the surrounding tooling for demultiplexing, alignment, annotation, and workflow control. They also understand how library prep, read quality, coverage, and contamination affect the result.
When companies bring help
Companies usually hire freelance expertise when a pipeline is slow, an assay needs validation, or a project needs clean handover between lab and analysis. They also bring in specialists for new assay setup, cross-team support, and troubleshooting unusual data patterns. Remote work is common; on-site help matters when lab processes, instruments, or sample handling need direct attention in Germany.
What strong specialists do
Good professionals do more than run a standard pipeline. They question sample quality, choose sensible reference sets, and explain what the data can and cannot support. They write reproducible workflows, keep analysis traceable, and communicate results in language researchers, clinicians, and product teams can use.
Signals you need one
- Results vary between runs or sites
- A new assay needs a dependable workflow
- Reports are hard to reproduce or audit
- The team needs support for RNA-seq or variant analysis
- You need short-term expertise without a long hiring cycle
Frequently asked questions
What clients ask us most about Next-Generation Sequencing — answered in short.
Next-Generation Sequencing is used to read DNA or RNA in a way that produces data for research, diagnostics, and assay development. Teams use it for variant calling, gene expression, targeted panels, metagenomics, and other studies that need broad, parallel readout. It is also common in quality control and method validation.
NGS is built for scale and can read many fragments at once, while Sanger sequencing is better suited to small, targeted checks. Companies often choose NGS when they need broader coverage, more samples, or multiple markers in one run. Sanger still appears as a confirmatory method in many workflows.
A strong Next-Generation Sequencing specialist usually brings bioinformatics, statistics, and data handling skills. Familiarity with FASTQ, BAM, VCF, workflow tools, and QC metrics matters as much as lab-side understanding. For regulated or clinical work, documentation and traceability are also important.
Next-Generation Sequencing projects often need outside help when the team is setting up a new pipeline, rescuing a failing workflow, or interpreting difficult data. Freelancers also help with assay transfers, panel design support, and analysis backlogs. That makes them useful for short projects and for specialist review.
A Next-Generation Sequencing project needs the right depth for the task, not just general lab experience. Simple reanalysis may need someone who knows standard pipelines and QC, while assay validation or clinical reporting needs a specialist who understands controls, thresholds, and reproducibility. The more sensitive the output, the more domain knowledge matters.
Many NGS tasks can be handled remotely, especially data analysis, workflow design, and reporting. On-site support becomes more useful when sample handling, instrument access, or handover with local lab staff is involved. In Germany, many companies use a mix of both depending on the project stage.
Look for someone who can explain how they handle read quality, mapping, coverage, contamination, and false positives in Next-Generation Sequencing work. Strong professionals can describe trade-offs in their pipeline choices and show how they make results reproducible. Clear documentation and sensible interpretation matter as much as tool names.
Next-Generation Sequencing is the common modern term, and massively parallel sequencing is a widely used earlier name for the same basic idea. In searches, you will also see NGS used alongside platform names such as Illumina. The key is whether the specialist understands the workflow and the data, not the label alone.
The average hourly rate of freelancers in Germany who have used Next-Generation Sequencing in their recent projects is 87 €, which corresponds to a daily rate of about 696 € based on an 8-hour working day.
Of the freelancers in Germany who have used Next-Generation Sequencing in their recent projects, 100% hold at least a Bachelor's degree, 87% hold at least a Master's degree, and 53% hold a doctorate.
On average, freelancers in Germany who have used Next-Generation Sequencing in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Germany who have used Next-Generation Sequencing in their recent projects are English (100%), German (88%), and French (38%).
The most common industries among freelancers in Germany who have used Next-Generation Sequencing in their recent projects are Biotechnology (81%), Education (50%), and Pharmaceutical (50%).
The most common business areas among freelancers in Germany who have used Next-Generation Sequencing in their recent projects are Research and Development (88%), Information Technology (50%), and Product Development (44%).
Main locations of FRATCH Experts, who have recently used Next-Generation Sequencing
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
