Lead the development of innovative software products supporting Scientific Workflow Engineering in AI/ML, including advanced machine learning-based (ML Ops) workflows
Job Summary
Lead the development of innovative software products supporting Scientific Workflow Engineering in AI/ML, including advanced machine learning-based (ML Ops) workflows.
Own the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams.
Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements.
Matching Summary
Lead the development of innovative software products supporting Scientific Workflow Engineering in AI/ML, including advanced machine learning-based (ML Ops) workflows.
Salary
Base: 124,800.00 - 174,800.00; Bonus/Equity: Includes target bonus; Benefits: Not specified
Skills & Requirements
Must-have
AI/ML workflows
generative AI
protein design
protein folding
structural chemistry
Agile methodologies
Scrum teams
Nice-to-have
digital transformation
data-driven organization
cutting-edge scientific research
cross-functional teams
Key Requirements
Master’s degree in computer science, bioinformatics, data science, or related scientific field
5+ years in product management
Experience in bioinformatics, life sciences, or AI/ML platforms
Experience leading product development in scientific environments
Familiarity with cloud environments such as AWS
Strong understanding of machine learning operations (ML Ops)