Home › Companies › Resolve › Scientist - Computational Biology [m/f/d]
Scientist - Computational Biology [m/f/d]
Resolve · Monheim am Rhein, NRW, Germany · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Resolve |
| Title | Scientist - Computational Biology [m/f/d] |
| Normalized title | - |
| Department / team | Assay Development / Research & Development |
| Location | Monheim am Rhein, NRW, Germany |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2025-12-03 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Resolve. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Assay Development. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Resolve |
| Source | d247dbcb-7df2-4200-93e6-fac3daa3150f |
| ATS provider | Personio |
Description
Your mission
Improve the future of cancer treatment with us - determined, courageous and as a team!
At Resolve Biosciences, we are working to better understand complex biological processes - with the aim of enabling new therapeutic approaches. To do this, we need people who think boldly, take responsibility and enjoy learning
We are looking to hire a passionate Scientist - Computational Biology [f/m/d] to join our Assay Development team.
By working closely with biologists and biomedical experts, you will be responsible for the computational analysis of high-dimensional spatial single-cell data, with a strong focus on immuno-oncology and targeted gene panel design.
This is a full-time position based at our company headquarters in Monheim am Rhein, Germany, where you will collaborate closely with the Application Development, Molecular Biology, and Data Science teams.
Key Responsibilities:
Apply software tools and pipelines for computational downstream analysis of Molecular Cartography spatial multi-omic datasets.
Design and evaluate targeted gene panels for performance and accuracy.
Derive biological insights from high-dimensional single-cell data (imaging- and sequencing-based), such as cell type identification, differential expression, cellular neighborhoods, and cell-cell communication.
Assess the impact of technical variables (e.g., optical crowding, cell segmentation) on data analysis results.
Use solid statistical methods to evaluate data quality, identify patterns, and draw meaningful biological conclusions.
Collaborate with cross-functional teams and gather requirements from team members and other project teams.
Train and support internal users in the use of data analysis tools and pipelines when necessary
Collaborate effectively to achieve shared project goals and meet deadlines.
Take ownership of personal work planning in alignment with agreed objectives.
Your profile
PhD in biology, bioinformatics, or a related field, with 3+ years of relevant experience.
Extensive experience analyzing high-dimensional single-cell data (e.g., scRNA-seq, spatial transcriptomics) using state-of-the-art tools such as Seurat or Scanpy.
Experience in computational single cell analysis in oncology and/or systems immunology is preferred.
Strong foundational understanding of statistics and its application to biological data.
Proficiency in R or Python is required; proficiency in both is preferred.
Experience with fluorescence microscopy, image analysis, and associated software tools is a plus.
Familiarity with workflow tools like Snakemake or Nextflow is beneficial.
Experience in experimental/study design for harmonized analysis across multiple experiments and large sample sets is a strong asset.
Exceptional organizational and prioritization skills, with keen attention to scientific detail.
Structured, team-oriented mindset, with excellent communication skills and a strong focus on common goals.
Willingness to travel internationally, if required.
Personal Characteristics
At Resolve Biosciences, we believe that diversity, equity, and inclusion are essential to our success. We welcome applicants of all genders, ethnicities, nationalities, religions, abilities, and backgrounds to apply for our open positions. We are committed to creating a workplace where everyone feels valued, respected, and supported.
Why us?
We are a young, dynamic life science company with a focus on molecular pathology. Since 2020, we have been working on the fields of application and developing our own Molecular Cartography™ technology, which can be used to visualize gene and protein expression in tissue sections at the subcellular level in high spatial resolution.
Every individual counts: Our current team of around 60 members work in an interdisciplinary manner, with passion and creativity to advance our goal - because only together we can really make a difference!
Full job record
| Job ID | df1a8b6b78aaa875871d87e331026688184356ae |
| Org ID | 5316603c-af10-438a-bc82-2c887dc91a14 |
| Source ID | d247dbcb-7df2-4200-93e6-fac3daa3150f |
| Board ID | d247dbcb-7df2-4200-93e6-fac3daa3150f |
| Provider | personio |
| Provider Job Key | 2448086 |
| Title | Scientist - Computational Biology [m/f/d] |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Monheim am Rhein, NRW, Germany |
| Department | Assay Development |
| Team | Research & Development |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://resolve.jobs.personio.de/job/2448086?language=en |
| Apply URL | https://resolve.jobs.personio.de/job/2448086?language=en |
| First Seen At | 2026-05-30 06:08:02Z |
| Last Seen At | 2026-06-06 07:58:38Z |
| Last Checked At | 2026-06-06 07:58:38Z |
| Last Changed At | 2026-05-30 06:08:02Z |
| Inactive At | — |
| Source Posted At | 2025-12-03 07:59:50Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=resolve.de/date=2026-06-06/2026-06-06T07-58-37-921Z-cc6bfc2c862a9a1f692dbb6b8be39072e33c8693720ebe90d8df29a0f517fa11.json |
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"value": "<p>Improve the future of cancer treatment with us - determined, courageous and as a team!</p><p>At Resolve Biosciences, we are working to better understand complex biological processes - with the aim of enabling new therapeutic approaches. To do this, we need people who think boldly, take responsibility and enjoy learning</p><p>We are looking to hire a passionate <strong>Scientist - Computational Biology [f/m/d]</strong> to join our Assay Development team.</p><p>By working closely with biologists and biomedical experts, you will be responsible for the computational analysis of high-dimensional spatial single-cell data, with a strong focus on immuno-oncology and targeted gene panel design.<span> </span></p><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">This is a full-time position based at our company headquarters in Monheim am Rhein, Germany, where you will collaborate closely with the Application Development, Molecular Biology, and Data Science teams.</p><br><br><strong>Key Responsibilities: </strong><br><ul><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Apply software tools and pipelines for computational downstream analysis of Molecular Cartography spatial multi-omic datasets.</p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Design and evaluate targeted gene panels for performance and accuracy.<span> </span></p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Derive biological insights from high-dimensional single-cell data (imaging- and sequencing-based), such as cell type identification, differential expression, cellular neighborhoods, and cell-cell communication.<span> </span></p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Assess the impact of technical variables (e.g., optical crowding, cell segmentation) on data analysis results.<span> </span></p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Use solid statistical methods to evaluate data quality, identify patterns, and draw meaningful biological conclusions.<span> </span></p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Collaborate with cross-functional teams and gather requirements from team members and other project teams.<span> </span></p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Train and support internal users in the use of data analysis tools and pipelines when necessary<span> </span></p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Collaborate effectively to achieve shared project goals and meet deadlines.<span> </span></p></li><li><p style=\"font-style:normal;font-weight:400;text-transform:none;text-decoration:none;color:rgb(0,0,0);\">Take ownership of personal work planning in alignment with agreed objectives.</p></li></ul>"
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