Bioinformatics Software Engineer

YourCode; Mainz; Hybrid; EUR 70.000 - 85.000; Vollzeit

Zusammenfassung

A leading bioinformatics company in Mainz is looking for a Bioinformatics Software Engineer to develop software solutions in computational medicine. This role involves designing data analysis workflows and collaborating with scientists. Candidates should have a Master’s degree in Bioinformatics or Computer Science and strong skills in Python, with experience in sequence data analysis and workflow management tools. The company offers a dynamic work environment, competitive salary, and flexible working options.

Leistungen

Dynamic research environment

Collaborative workplace culture

Professional development opportunities

Flexible hybrid working options

Qualifikationen

• Minimum of two years' experience in software development or scientific computing.
• Knowledge of structured software development principles including version control and testing.
• Previous exposure to next-generation sequencing (NGS) data is a plus.

Aufgaben

• Develop and maintain software tools for analyzing biological datasets.
• Work with scientists to design and implement computational analysis pipelines.
• Benchmark and test detection pipelines using experimental validation data.
• Support PhD students and researchers in data science best practices.

Kenntnisse

Programming skills in Python

Experience with R, Java, or Rust

Knowledge of Dask, Spark, Arrow

Familiarity with Scikit-learn, TensorFlow, PyTorch

Experience with Workflow Managers like Snakemake and Nextflow

Hands-on experience with Linux environments

Ausbildung

Master's degree in Bioinformatics, Computer Science, or related field

Jobbeschreibung

Bioinformatics Software Engineer
Full-Time | Mainz

Full time

70-85,000 euros

Are you passionate about developing cutting-edge software solutions in the field of computational medicine? We are looking for a skilled Bioinformatics Software Engineerto join our clients dynamic team. This role is an opportunity to collaborate with multidisciplinary experts and contribute to innovative immunotherapy research aimed at tackling cancer and other diseases.

Your Role:

• Develop and maintain software tools and reproducible end-to-end workflows for analyzing complex biological datasets, including high-throughput sequencing data.

• Work closely with scientists, engineers, and technicians to design and implement computational analysis pipelines for research data.

• Benchmark and systematically test both internal and public detection pipelines using experimental validation data.

• Provide guidance and support to PhD students, engineers, and researchers in best practices for reproducible data science and high-performance computing workflows.

• Contribute to the development of advanced AI-driven predictive models for immuno-genomics in collaboration with computational scientists.

What You Bring:

• A Master's degree in Bioinformatics, Computer Science, or a related field.

• Minimum of two years' experience in software development, scientific computing, or a similar domain.

• Strong programming skills in Python; experience with additional languages like R, Java, or Rust is beneficial.

• Experience in Workflow Managers such as Snakemake and Nextflow.

• Knowledge of big data processing tools (Dask, Spark, Arrow) and machine learning libraries (Scikit-learn, TensorFlow, PyTorch).

• Familiarity with structured software development principles, including version control, testing, and continuous integration.

• Hands-on experience with Linux-based computing environments, job schedulers, and workflow management tools.

• Previous exposure to next-generation sequencing (NGS) data is a plus.

• A proactive, team-oriented mindset and enthusiasm for cutting-edge research.

What We Offer:

• A dynamic and innovative research environment.

• A collaborative and supportive workplace culture.

• A diverse and inclusive team with flat hierarchies.

• Competitive salary and benefits package.

• Professional development opportunities tailored to your career growth.

• Excellent public transport links, parking spaces, and secure bicycle storage.

• Flexible hybrid working options.

Join our team and be at the forefront of translational research! If you’re ready to make an impact, we’d love to hear from you.