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Softwareentwickler(m/w/d) im homeoffice

Rheinbach
Software Entwickler
Inserat online seit: Veröffentlicht vor 22 Std.
Beschreibung

Mycolever Senior FS Software Developer with Bio-/Cheminformatics Background (gn) - Bonn, Munich
Software Development
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.
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.
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.
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 integrating AI/ML & LLM models to annotate unstructured biological data and link it into a knowledge graph (e.g. Optional) Familiarity with data visualization libraries (Plotly, Matplotlib, or Bokeh).
(Optional) Familiarity with bioinformatics workflows, data standards (e.g., Agile and hands-on mindset
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