You will lead a team of scientists to develop an agentic AI system for drug discovery and target identification. This involves collaborating with cross-functional teams to build and deploy advanced machine learning models that reason over complex biological data.
Act as a strategic partner and scientific orchestrator for biopharma clients to ensure the successful adoption and ROI of the K Pro AI platform. Manage the full customer lifecycle, including onboarding, retention, growth, and translating customer feedback into product roadmap improvements.
Design and build scalable AI systems and agentic products for biomedical research. Collaborate with multidisciplinary teams to optimize analytical workflows and lead the development of core platform components.
The role involves conducting application security assessments and integrating security controls into CI/CD pipelines to secure the AI-driven platform. You will partner with engineering teams to remediate vulnerabilities and develop automation tooling using Python.
Lead the development of an autonomous agentic system to navigate drug discovery and automate the scientific method. Architect AI agents capable of multi-step reasoning and design optimal experiments for wet-lab validation.
Lead the development of the Data Transformation Agent (DTA) and orchestrate complex data workflows using tools like Apache Airflow. Manage the integration and deployment of agentic technology while ensuring high engineering standards through code reviews and best practices.
You will lead commercial engagements and manage the full sales cycle for mid-segment accounts including biotech, CROs, and investors. This involves developing multi-threaded relationships, delivering high-impact proposals, and partnering with technical teams to scope solutions.
You will lead a platform engineering team to design and maintain cloud-based infrastructure that supports biomedical research and AI-driven product development. This involves collaborating with cross-functional teams to ensure high availability, security, and performance of the platform services.
You will design, implement, and maintain scalable cloud-based infrastructure and services to support complex biomedical research and AI-driven data processing. Additionally, you will drive technical standards, mentor junior engineers, and collaborate with cross-functional teams to enhance platform performance and security.
