Senior Software Engineer developing high - quality SaaS applications for digital investigations. Collaborating with engineering teams to enhance developer experience and product scalability.
About the role
- Senior Full-Stack Software Developer at Mycolever working on a biocompound discovery platform. Developing core logic and integrating insights from biologists and chemists.
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
- 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
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
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