Senior Scientist I - Bioinformatics, Biotherapeutics and Genetic Medicine
Core
Design, develop, and optimize data capture workflows and dynamic visualization dashboards to streamline biologics discovery and enable integrated data management for biotherapeutic and genetic medicine R&D.
Role type
Senior Scientist I - Bioinformatics (Data Engineering & Visualization)
Builds
Digital workflows, data capture tools, and interactive dashboards for biologics discovery teams.
Domain
Biotherapeutics and Genetic Medicine R&D (Monoclonal antibodies, AAV, LNPs, siRNA)
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Molecular biology and protein biochemistry knowledge, bioinformatics tools (SnapGene, Geneious, Benchling), SQL, Python or R, large dataset management, interactive visualization (Power BI, Tableau, D3.js), laboratory instrumentation integration, data standardization.
Preferred skills
Custom application development libraries (Pandas, NumPy, scikit-learn, Streamlit), antibody or genetic medicine R&D process familiarity.
Technologies
SnapGene, Geneious, Genedata Biologics, Pipebio, Benchling, Power BI, Tableau, D3.js, Spotfire, Python, R, SQL, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Streamlit
Responsibilities
Design digital workflows to streamline biologics discovery; identify and test software solutions mapping to BGM needs; pilot new software and AI tools; design standard analyses and visualizations; represent BGM to informatics and vendors; collaborate across groups to align priorities; communicate wet-lab workflow nuances for data stewardship.
Seniority
Senior, hands-on IC