Senior Full-Stack Software Developer developing a cloud-based platform for biocompound discovery at Mycolever. Combining scientific expertise with strong data engineering and software development skills.
Responsibilities
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 maintaining 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.
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