Scientist- Bioinformatics, Biotherapeutics and Genetic Medicine
Core
Develop and optimize data capture workflows and visualization dashboards for biologics discovery to streamline operational efficiency.
Role type
Scientist (Bioinformatics & Data Engineering)
Builds
Digital workflows, data visualization dashboards, and automated data capture tools for biologics discovery.
Domain
Biotherapeutics and Genetic Medicine R&D
Deliverable
production ML models | dashboards & analysis
Required skills
Bioinformatics tools (Prism, Geneious, Genedata Screener, Dotmatics, Benchling), Python, SQL, Java, R, Data engineering, Interactive data visualization (Power BI, Tableau, D3.js, Spotfire), Assay data processing, Automated liquid handlers
Preferred skills
Custom application development libraries (Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Streamlit), Laboratory instrumentation integration, Antibody/genetic medicine R&D process knowledge, Agentic AI for bioinformatics
Responsibilities
Design digital workflows to streamline biologics discovery, Test software solutions and identify iterative improvements, Pilot new software and AI tools, Implement standard analyses and visualizations, Represent BGM to Informatics and external vendors, Collaborate across groups with different priorities, Understand and communicate nuance of wet-lab workflows
Seniority
Scientist I or Scientist II
