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HomeCompaniesResolveScientist - Computational Biology [m/f/d]

Scientist - Computational Biology [m/f/d]

Resolve · Monheim am Rhein, NRW, Germany · Active · Personio

Job facts

FieldValue
CompanyResolve
TitleScientist - Computational Biology [m/f/d]
Normalized title-
Department / teamAssay Development / Research & Development
LocationMonheim am Rhein, NRW, Germany
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2025-12-03 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Resolve.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Assay Development.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyResolve
Sourced247dbcb-7df2-4200-93e6-fac3daa3150f
ATS providerPersonio

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 IDdf1a8b6b78aaa875871d87e331026688184356ae
Org ID5316603c-af10-438a-bc82-2c887dc91a14
Source IDd247dbcb-7df2-4200-93e6-fac3daa3150f
Board IDd247dbcb-7df2-4200-93e6-fac3daa3150f
Providerpersonio
Provider Job Key2448086
TitleScientist - Computational Biology [m/f/d]
Normalized Title
Statusactive
Activeyes
Location TextMonheim am Rhein, NRW, Germany
DepartmentAssay Development
TeamResearch & Development
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://resolve.jobs.personio.de/job/2448086?language=en
Apply URLhttps://resolve.jobs.personio.de/job/2448086?language=en
First Seen At2026-05-30 06:08:02Z
Last Seen At2026-06-06 07:58:38Z
Last Checked At2026-06-06 07:58:38Z
Last Changed At2026-05-30 06:08:02Z
Inactive At
Source Posted At2025-12-03 07:59:50Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=resolve.de/date=2026-06-06/2026-06-06T07-58-37-921Z-cc6bfc2c862a9a1f692dbb6b8be39072e33c8693720ebe90d8df29a0f517fa11.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
{
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  "keywords": [],
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    {
      "name": "Your mission",
      "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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    },
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    },
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      "name": "Why us?",
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    }
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