Staff Software Engineer at Pfizer designing software systems and leveraging AI tools to enhance productivity. Working closely with business units to solve real problems through software solutions.
About the role
- Senior Full-Stack Software Developer at Mycolever developing a cloud-based biocompound discovery platform. Collaborating with scientists using AI/ML techniques for functional molecular analysis.
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 analyze 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 an interest to learn about bio data, biotechnology, bioinformatics, cheminformatics, etc.
- 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
- Flexible work arrangements
- Professional development opportunities
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