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Scientist - Computational Biology [m/f/d]

Resolve BioSciences

Monheim am Rhein

Vor Ort

EUR 60.000 - 100.000

Vollzeit

Vor 21 Tagen

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Zusammenfassung

Join a pioneering biotechnology firm as a Scientist in Computational Biology, where you will engage in cutting-edge analysis of high-dimensional spatial single-cell data. Collaborate with experts in a dynamic team environment to derive biological insights and design targeted gene panels. This full-time role offers an exciting opportunity for personal growth in a supportive atmosphere that values creativity and innovation. Be part of a mission-driven organization that is shaping the future of molecular cartography and making a real difference in health and science.

Leistungen

Flexible working hours
Career development opportunities
Creative work environment
International travel opportunities

Qualifikationen

  • PhD with 3+ years experience in computational biology.
  • Extensive analysis of single-cell data using Seurat or Scanpy.
  • Proficiency in R or Python required.

Aufgaben

  • Collaborate to apply software tools for data analysis.
  • Derive insights from single-cell data.
  • Design targeted gene panels for accuracy.

Kenntnisse

Analysing high-dimensional single-cell data
R programming
Python programming
Experience in oncology
Organizational skills
Communication skills

Ausbildung

PhD in biology or bioinformatics

Tools

Seurat
Scanpy
Snakemake
Nextflow
Fluorescence microscopy

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 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.

Responsibilities
  1. Collaborate within cross-functional teams to apply software tools and pipelines for computational downstream analysis of molecular cartography spatial multi-omic datasets.
  2. 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.
  3. Design and evaluate targeted gene panels for performance and accuracy.
  4. Assess the impact of technical variables (e.g., cell segmentation) on data analysis results.
  5. Gather requirements from team members and other project teams.
  6. Train and support internal users in the use of data analysis tools and pipelines.
  7. Collaborate effectively with internal developers and external partners to achieve shared project goals and meet deadlines.
  8. Take ownership of personal work planning in alignment with agreed objectives.
Your profile
  1. PhD in biology, bioinformatics, or a related field, with 3+ years of relevant experience.
  2. 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.
  3. Experience in computational downstream analysis in oncology and/or systems immunology is preferred.
  4. Proficiency in R or Python is required; proficiency in both is preferred.
  5. Experience with fluorescence microscopy, image analysis, and associated software tools is a plus.
  6. Familiarity with workflow tools like Snakemake or Nextflow is beneficial.
  7. Experience in experimental/study design for harmonized analysis across multiple experiments and large sample sets is a strong asset.
  8. Exceptional organizational and prioritization skills, with keen attention to scientific detail.
  9. Structured, team-oriented mindset, with excellent communication skills and a strong focus on common goals.
  10. 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?

This is the perfect opportunity to become a part of a highly motivated, agile, and international team in an attractive work environment with excellent career opportunities and flat hierarchies. We provide space for creativity and flexible working hours and look forward to new members joining us on an exciting journey into a new field of biotechnology.

Join our dynamic scale-up where the challenges are as vast as the opportunities. Experience unparalleled personal growth as you navigate through a fast-paced environment that encourages continuous learning. Here, mistakes are not setbacks but steppingstones, and courage is celebrated. Take ownership, learn from every experience, and see the direct impact of your efforts daily. Build your career on a foundation of trust and be part of a team that is shaping the future.

Welcome to our scale-up journey, where your professional and personal development knows no bounds and contributes to groundbreaking innovations that have a tangible impact on human and general health, making a difference in people's lives every day.

About Us
The Molecular Cartography Company

We are bringing the latest advances in German precision engineering to the biotechnology field.

Together, with our talented team of scientists, commercial experts, and investors, we are poised to lead the next generation of single-cell analysis which will enable scientists around the world to apply the power of Molecular Cartography and gain new insights based on the highest-resolution view of single-cell spatial biology. Resolve Biosciences is a privately held company headquartered in Monheim am Rhein, Germany, with an expanding global footprint, including facilities in San José, California, USA.

Our Molecular Cartography platform has been well received by scientists through an early access program since 2016. We are now entering an exciting phase of rapid growth and commercialization.

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