Scientist - Computational Biology [m/f/d]

Ray Sono AG; Monheim am Rhein; Vor Ort; EUR 75.000 - 110.000; Vollzeit

Zusammenfassung

A dynamic life sciences company in Monheim am Rhein is seeking a passionate Scientist in Computational Biology. The ideal candidate will have a PhD and extensive experience in high-dimensional single-cell data analysis, preferably in oncology. You will collaborate with cross-functional teams to derive biological insights and assist in the design of targeted gene panels. This full-time position offers the opportunity to impact cancer treatment methodologies significantly.

Qualifikationen

• 3+ years of experience in relevant field.
• Experience with analyzing scRNA-seq and spatial transcriptomics.
• Structured and team-oriented mindset.

Aufgaben

• Apply software tools for computational analysis of datasets.
• Design targeted gene panels and evaluate performance.
• Collaborate with cross-functional teams to meet project goals.
• Assess the impact of technical variables on data analysis results.
• Use solid statistical methods to evaluate data quality and draw conclusions.
• Collaborate with cross-functional teams and gather requirements.

Kenntnisse

High-dimensional single-cell data analysis

Computational single cell analysis in oncology

Statistical analysis

R or Python proficiency

Fluorescence microscopy and image analysis

Snakemake or Nextflow familiarity

Snakemake/Nextflow

Team communication

Travel willingness

Ausbildung

PhD in biology, bioinformatics, or a related field

Tools

Seurat

Scanpy

Jobbeschreibung

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!

About Us

What you can expect from us

Helping to shape things instead of just running along: We never stand still - and your ideas count.

Short paths, clear words: Direct communication instead of detours.

Quick decisions: We are quick, pragmatic and solution-oriented.

Growth with purpose: You continue to develop - as part of a meaningful mission.

@Resolve - We ACT:

Accountability - We take responsibility - for each other and for achieving our goal.

Courage - We question, try things out, keep at it and move forward courageously.

Trust - We trust in ourselves, each other and grow together and pull together - One Team