Scientist - Computational Biology [m/f/d]

Ray Sono AG; Monheim am Rhein; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

A leading company in biotechnology is seeking a Scientist in Computational Biology to join their Assay Development Team. This full-time role involves analyzing high-dimensional spatial single-cell data and collaborating with various teams to drive innovative health solutions. Ideal candidates will hold a PhD and have experience in data analysis, particularly in oncology and bioinformatics.

Leistungen

Flexible hours

Career growth opportunities

Dynamic biotech environment

Culture of innovation

Qualifikationen

• 3+ years of relevant experience in computational biology.
• Experience in oncology and/or systems immunology preferred.
• Familiarity with fluorescence microscopy and image analysis is advantageous.

Aufgaben

• Apply software tools for computational analysis of spatial multi-omic datasets.
• Extract insights from high-dimensional single-cell data.
• Design and evaluate targeted gene panels.

Kenntnisse

Data analysis

Biological insights extraction

Team collaboration

Communication skills

Organizational skills

Ausbildung

PhD in biology, bioinformatics, or related field

Tools

Seurat

Scanpy

R

Python

Snakemake

Nextflow

Jobbeschreibung

Your mission

With immediate effect, we are seeking 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 downstream analysis of high-dimensional spatial single-cell data, with a focus on immuno-oncology and targeted gene panel design.

This is a full-time position based at our headquarters in Monheim am Rhein, Germany, collaborating with the Application Development, Molecular Biology, and Data Science teams.

Responsibilities:

• Apply software tools and pipelines for computational analysis of molecular cartography spatial multi-omic datasets.
• Extract biological insights from high-dimensional single-cell data, including cell type identification, differential expression, cellular neighborhoods, and cell-cell communication.
• Design and evaluate targeted gene panels for performance and accuracy.
• Assess the impact of technical variables, such as cell segmentation, on data analysis results.
• Gather requirements from team members and project teams.
• Train and support internal users in data analysis tools and pipelines.
• Collaborate with developers and external partners to meet project goals and deadlines.
• Plan personal work in alignment with objectives.

Your profile

• PhD in biology, bioinformatics, or related field, with 3+ years of relevant experience.
• Experience analyzing high-dimensional single-cell data using tools like Seurat or Scanpy.
• Experience in oncology and/or systems immunology is preferred.
• Proficiency in R or Python; proficiency in both is a plus.
• Experience with fluorescence microscopy and image analysis is advantageous.
• Familiarity with workflow tools like Snakemake or Nextflow is beneficial.
• Experience designing studies for harmonized analysis across experiments and large samples is a strong asset.
• Strong organizational, prioritization, and scientific attention to detail.
• Team-oriented with excellent communication skills and goal focus.
• Willingness to travel internationally if required.

Personal Characteristics

At Resolve Biosciences, diversity, equity, and inclusion are core values. We welcome applicants from all backgrounds and are committed to creating a respectful and supportive workplace.

Why us?

This is a unique opportunity to join a motivated, agile, international team in a dynamic biotech environment with excellent career growth, flexible hours, and a culture of innovation. Experience personal growth, continuous learning, ownership, and impactful work in shaping the future of biotechnology. Join us and contribute to groundbreaking health innovations that make a difference every day.