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Full-time
bachelor degree
Friendly and dynamic team, Diverse professional backgrounds, Opportunity to actively shape your area of work, Professional development opportunities
Posted 1d ago
~40 hrs/week
Responsibilities
Design and optimize bioinformatics pipelines for cfDNA analysis and investigate technical artifacts in NGS data. Build statistical and machine learning models to detect somatic variants and collaborate with wet-lab scientists to interpret results.
Requirements
Requires a relevant university degree and proficiency in Python for data analysis and pipeline development. Candidates must have hands-on experience with large-scale genomic data, specifically regarding cfDNA and liquid biopsy challenges.
Full job description
LIQOMICS GmbH is a Cologne-based biotech company specializing in the diagnostics of circulating tumor DNA in blood samples (liquid biopsy). Our diagnostics support physicians as well as cancer patients worldwide in making the right decisions before, during, and after therapy.
Our mission: Through our innovative diagnostics, we want to reduce the number of preventable cancer-related deaths to zero.
To strengthen our team, we are looking for a Computational Biologist with hands-on experience in next-generation sequencing data analysis. This role is for someone who thrives on understanding genomic data, building analytical methods, and extracting meaningful biological signals from sequencing data.
Tasks
Design, build, and optimize bioinformatics pipelines for cfDNA analysis
Investigate sources of noise, bias, and technical artifact in NGS data and design computational strategies to address them
Perform deep exploratory data analysis on large-scale sequencing datasets to generate and test biological hypotheses
Build statistical and machine learning models to detect low-allele-fraction somatic variants, tumor-derived signal, and other cfDNA-specific features
Collaborate with wet-lab scientists to translate biological questions into computational experiments and interpret results in a clinically meaningful context
Requirements
A relevant university degree or equivalent experience
Proficiency in Python for data analysis, statistical modeling, and pipeline development
Hands-on experience analyzing large amounts of genomic data, preferably with direct exposure to cfDNA and liquid biopsy
Understanding of the technical challenges specific to NGS and cfDNA: low allele fractions, fragment-level features, and noise modeling
Experience building statistical or machine learning models
Cover Letter (required)
Please keep it to one page. In our organization individual contributions are highly visible, so concrete examples of what you personally have done help more than general statements.
Why this role: Why does this work appeal to you, and what are you looking for next? Feel free to include your ideal work environment or anything else that helps us get to know you.
What you have built: Tell us about a pipeline or analysis you are proud of (for example, NGS, variant calling, noise modeling). What made it demanding, what specifically was your contribution, and was it used in research, production, or the clinic?
A project you are proud of: Describe a project where you did your best work. What was your role, what did it lead to, and what would you push further next time?
Benefits
A friendly, dynamic team with diverse professional backgrounds, true team spirit, and a mission that matters. At LIQOMICS, you actively shape your area and see directly what your work achieves. You have a wide range of development opportunities and can actively shape your professional path with us.
We aspire to bring our cutting-edge liquid biopsy technology for genotyping and disease monitoring to patients worldwide
Industry
Medical and Diagnostic Laboratories
Company size
2-10 employees
Founded
2021
Headquarters
Cologne, North Rhine-Westphalia
LinkedIn followers
481
As a liquid biopsy company, LIQOMICS is transforming oncology with non-invasive ctDNA analysis for cancer monitoring and treatment optimization. Our circulating tumor DNA (ctDNA) tests provide:
✔ Ultra-sensitive detection of minimal residual disease (MRD)
✔ Real-time insights into tumor genetics from a simple blood draw
✔ Exceptional precision for tracking treatment response
We empower the hematology and oncology ecosystem to make data-driven decisions for lymphomas, solid tumors, and other malignancies by eliminating the need for invasive biopsies. Discover how our liquid biopsy technology is redefining cancer management.
Offices: Neurather Ring 1, Cologne, North Rhine-Westphalia 51063, DE
How many Science & Research jobs are open in Cologne, Germany right now?
There are currently 58 open science & research positions in Cologne, Germany listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Cologne, Germany?
Companies currently hiring include AXA, YouGov, Danaher Corporation, LIQOMICS, ÅF, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Cologne, Germany?
Yes — 29 of the 58 open science & research positions offer remote or hybrid work (3 remote, 26 hybrid).
How do I apply for Science & Research jobs in Cologne, Germany?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.