Flow Cytometry Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Flow Cytometry
Sandeep Kesh
Last position:
Postdoctoral Researcher at Friedrich Schiller University
- Established and optimized viral detection assays (SARS-CoV-2, IAV) in A549 and Vero cell lines using qPCR, immunofluorescence and AFM-based morphology analysis to generate quantitative data on viral protein expression and particle quality
- Characterized protein aggregation and fibril formation using NanoFTIR, fluorescence spectroscopy, Raman and ThT assays, linking biophysical signatures to stability and quality attributes of protein formulations
- Applied statistics-based data analysis to evaluate assay robustness and variability, supporting QbD-oriented discussions on method performance and critical analytical parameters
- Led method development and data interpretation for analytical workflows, collaborating with cross-functional colleagues and training team members on advanced biophysical instrumentation
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
Kaan Ozturk
Last position:
Research Associate at Uniklinik Münster
- Led a research project on investigating factors modulating HPV16 infection in keratinocytes by using microscopy and omics approaches.
- Curated and analysed RNAseq and mass-spec data and performed pathway analysis to identify target proteins.
- Responsible for the operation, proper maintenance, functionality and user training of microscopes and FACS equipment.
- Mentored master students on their thesis on how cell-ECM interactions play a role in HPV susceptibility in keratinocytes.
Kimia Akbari
Last position:
Researcher, Bachelor’s Thesis at Kharazmi University
Finalizing a comprehensive review article under the supervision of Dr. L. Karami titled "Challenges and Limitations of Computational Methods in Protein-Ligand Interaction Prediction."
Critically analyzing the evolution from classical docking and MD simulations to AI-driven models.
Focusing on scoring function inaccuracies, protein dynamics, and the necessity of interpretability through Explainable AI (XAI).
Sofia Pizzato Scomazzon
Last position:
Research Associate at BioNTech
- Responsible for analyzing and interpreting preclinical data to support immunology and oncology research pipelines.
- Collaborate with cross-functional teams to clarify data requirements and communicate results effectively.
- Develop visualizations and reports to support data-driven decision-making.
Luis Alberto Peñafiel Palmer
Last position:
Cloud Engineer at Personal Projects
Developed a Streamlit ML application utilizing a RandomForest model (Scikit-learn) for predicting smoking behavior, employing Pandas, NumPy, and Matplotlib for data analysis and visualization; deployed on AWS using Terraform for EC2, IAM roles, and S3 buckets, with Pickle for model storage.
Mastered AWS services including S3, EC2, CloudFormation, IAM, and Auto Scaling, focusing on advanced features like versioning, CORS, ETags, and checksums through AWS-Examples-Freecodecamp.
Developed and optimized CI/CD pipelines with GitHub Actions to deploy static websites on GitHub Pages, enhancing automated validation, deployment, and maintenance processes.
Created and deployed a classic Snake game using Flask, containerized with Docker and deployed on Render.
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.
Discover over 15,000 top freelancers
Statistics of experts using Flow Cytometry
Aggregated from the professional profiles of matched freelancers.
Experience
12 years
Position duration
2.6 years
Positions per freelancer
5
Top business areas
Research and Development, Information Technology, Quality Assurance
Top industries
Biotechnology, Education, Healthcare
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
71%
Doctorate
57%
Certifications per freelancer
3
Most common languages
German, English, Spanish
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 Flow Cytometry
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 it covers
Flow cytometry measures cells or particles as they pass a laser one by one. It is used to identify populations, quantify markers, and support sorting workflows such as FACS. Strong experts turn raw signals into clear cell profiles that teams can trust.
Typical work
- Panel design for immunophenotyping and functional assays
- Instrument setup, compensation, and quality control
- Data analysis and gating strategies in standard software
- Cell sorting for downstream assays and sample prep
Tools and formats
The work often spans flow cytometers, cell sorters, compensation controls, and analysis tools such as FlowJo or FCS Express. Experts also handle FCS files, metadata, and reproducible reporting. They know how to keep acquisition settings consistent across runs and studies.
When to bring in specialists
Companies usually bring in freelance help when a study starts, when panels need redesign, or when data looks inconsistent. In Germany, this is common in biotech, pharma, diagnostics, and research labs that need short-term support or a second opinion. It also helps when teams need remote analysis but on-site instrument work.
What good experts do
Strong professionals understand fluorochromes, spectral overlap, gating logic, and biological controls. They can explain choices clearly, document their workflow, and spot weak data before it reaches the report. That mix of technical skill and judgment is what makes results usable.
What teams gain
A good flow cytometry specialist reduces rework, protects sample quality, and speeds up interpretation. They help teams compare experiments, prepare figures, and hand over clean results for publications, validation, or internal decisions. For companies with shifting workloads, that flexibility matters.
Frequently asked questions
Quick answers to the questions that come up most around Flow Cytometry.
A strong flow cytometry expert measures cell properties from laser-based signal data, then turns those signals into clean population analysis. In practice, that means panel design, compensation, gating, sorting support, and reporting. Many projects also involve FACS workflows and FCS file review.
Bring in flow cytometry help when your team needs panel design, troubleshooting, or analysis for a study with tight timing. It is also useful when internal staff know the biology but need support with instrument setup or data interpretation. Freelancers are a good fit for short projects and overflow work.
Flow cytometry is the measurement method; FACS is a sorting application built on that method. Many searchers use the terms together, but they do not mean the same thing. If you need to identify cells only, you may not need sorting.
A good flow cytometry specialist should be comfortable with immunology basics, assay design, statistics, and clear documentation. Experience with FlowJo, FCS Express, or similar analysis tools is often important. For sorting work, instrument knowledge and sample handling matter too.
A flow cytometry project can need different levels of depth depending on the task. Simple analysis may only need a specialist who can review gating and quality, while panel redesign or complex spectral work needs deeper hands-on experience. The best fit is the person who has done your exact assay type before.
Yes, flow cytometry analysis is often remote because FCS files and reports can be shared easily. Instrument setup, sorting, and sample prep usually need on-site presence, especially in Germany-based labs. Many teams use a mix of remote analysis and local lab work.
A good flow cytometry freelancer explains gating clearly, documents controls, and shows a consistent method across samples. Look for experience with your assay type, not just general lab knowledge. Clean handover files and a structured summary are good signs.
With flow cytometry, you should expect better-defined cell populations, cleaner analysis, and practical recommendations for next steps. Depending on the project, deliverables may include a panel plan, gated data, figures, or sorting instructions. The best experts make the output easy for the wider team to use.
The average hourly rate of freelancers in Germany who have used Flow Cytometry in their recent projects is 68 €, which corresponds to a daily rate of about 542 € based on an 8-hour working day.
Of the freelancers in Germany who have used Flow Cytometry in their recent projects, 100% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 57% hold a doctorate.
On average, freelancers in Germany who have used Flow Cytometry in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Germany who have used Flow Cytometry in their recent projects are German (100%), English (100%), and Spanish (14%).
The most common industries among freelancers in Germany who have used Flow Cytometry in their recent projects are Biotechnology (100%), Education (57%), and Healthcare (57%).
The most common business areas among freelancers in Germany who have used Flow Cytometry in their recent projects are Research and Development (100%), Information Technology (43%), and Quality Assurance (43%).
Main locations of FRATCH Experts, who have recently used Flow Cytometry
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
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FRATCH CEO
