Senior FS Software Developer with Bio-/Cheminformatics Background (gn) - Bonn, Munich

Stellenbeschreibung:

At Mycolever, we are building the powerhouse for sustainable fungal biocompounds. We unlock the Fungal Kingdom with our biocompound discovery platform and aim to provide performant ingredients that minimize the environmental footprints of our customers. Let’s create a greener future together.

We are looking for a Senior Full-Stack Software Developer with Backgound in Bio-/Cheminformatician who combines scientific expertise with strong data engineering and software development skills. You will develop the core biological and chemical logic of our discovery platform — linking biodata from genomes to chemical structures, implement software modules and AI/ML-powered analytics, drive software architecture and pipeline development.

Tasks

  • Develop and maintain a cloud-based biocompound discovery platform.
  • Design and implement data flows from internal and external sources.
  • Utilize AI and machine learning techniques to integrate and analyse multiomics data to functional properties of molecules.
  • Stay on top of the latest advancements in software engineering principles, platform technologies, AI/ML to continually improve the platform.
  • Ensure the platform is scalable, secure, and user-friendly.
  • Collaborate with biologists, chemists, chem-/bioinformaticians and data scientists to integrate their insights into the platform.
  • Identify and develop discovery services for customers, leading to paid collaboration projects or licensing opportunities for discovered compounds.
  • Integrate data and learning from high-throughput validations in the lab environment into the platform.

Requirements

  • 5+ years of full-stack software development experience with a background in biotechnology, bioinformatics, or biology.
  • Proven experience as a software developer and product owner in complex B2B software or services in an agile (Scrum) environment.
  • Strong programming skills in Python, Java, or C++.
  • Proficiency in data engineering and mainatining database using e.g. SQL, Databricks, Airflow, Nextflow and ETL / ELT frameworks.
  • Strong understanding of data analysis libraries (Pandas, NumPy).
  • Experience developing and deploying algorithms, especially those handling biological or chemical datasets.
  • Experience integrating AI/ML & LLM models to annotate unstructured biological data and link it into a knowledge graph (e.g. Neo4j).
  • Experience with cloud technologies such as Google Cloud, AWS, or Azure, and with containerization tools like Docker.
  • Knowledge of development tools and version control systems, particularly Jira, Confluence, GitHub or GitLab.
  • (Optional) Familiarity with data visualization libraries (Plotly, Matplotlib, or Bokeh).
  • (Optional) Familiarity with bioinformatics workflows, data standards (e.g., FASTA, GenBank, SDF), and biological databases.

Soft skills

  • Entrepreneurial mindset with a proactive approach to identifying and developing new opportunities to improve the platform.
  • Excellent communication and teamwork abilities.
  • Agile and hands-on mindset
  • Strong problem-solving skills and the ability to work independently.

Interested?

If this sounds like the right opportunity for you, we’d love to hear from you! Reach out to us with your application – no extensive documents required. Let’s shape the future of the industrial bioeconomy together!

Equal Opportunity

At Mycolever, we are committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or any other characteristic protected by applicable laws. We warmly welcome and encourage individuals from all backgrounds, especially those from underrepresented groups, to apply for this position.

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Stelleninformationen

  • Veröffentlichungsdatum:

    23 Jan 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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