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 multi-omics data and relate it to functional properties of molecules.
Stay current with the latest advancements in software engineering, platform technologies, and AI/ML to continuously improve the platform.
Ensure the platform is scalable, secure, and user-friendly.
Collaborate with biologists, chemists, cheminformaticians, bioinformaticians, and data scientists to incorporate 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 laboratory environment into the platform.

Requirements

5+ years of full-stack software development experience with an interest in biological data, biotechnology, bioinformatics, cheminformatics, or related fields.
Proven experience as a software developer and product owner in complex B2B software or services within an agile (Scrum) environment.
Strong programming skills in Python, Java, or C++.
Proficiency in data engineering and database maintenance using tools such as SQL, Databricks, Airflow, Nextflow, and ETL/ELT frameworks.
Strong understanding of data analysis libraries (Pandas, NumPy).
Experience developing and deploying algorithms, particularly those handling biological or chemical datasets.
Experience integrating AI/ML and 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

full-stack software developmentPythonJavaC++data engineeringdatabase maintenanceAImachine learningdata analysisalgorithm development

collaborationproduct ownershipagile methodologyproblem-solvingcommunication