Technical Product Manager, BioSim
Job description
Ready to join the AQ era?
SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.
Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.
We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.
About The Role
As a Technical Product Manager, BioSim, you will drive strategic vision, development of the advanced platform that powers in silico simulations and data driven analysis for drug discovery and development. Your work will enable scientific research and computational chemistry teams to perform target identification, high-throughput screening, biology pathways modeling etc, all aimed at accelerating drug development. In this role you will collaborate with world-class engineers, data scientists, chemists and biologists to define and execute a product roadmap that bridges cutting edge technologies and user needs within pharmaceutical and biotechnology industries.
Core Responsibilities
- Product Strategy and Differentiation: Define a clear product strategy that addresses the specific needs of researchers in drug discovery and development. You will develop product value positioning highlighting how uniquely it enhances our drug discovery pipeline through AI and simulation tools such as large scale simulations, causal AI, knowledge graph etc. Focus on identify requirements to develop differentiating technology solutions that leverages Large Quantitative Models (LQMs)
- Customer insights and Industry Trends: Collaborate with computational chemists and AI experts to understand their workflow, challenges and evolving landscape of drug discovery. Join customer meetings. Bring these user insights to inform product development and ensure technology roadmap. Stay informed on emerging technologies in silico drug discovery solutions such as AI driven drug design and predictive modeling and leverage this knowledge to influence research and development.
- Cross-Functional Collaboration: Collaborate with engineering, R&D, professional services and business development teams to create and maintain a prioritized roadmap. Ensure the roadmap reflects the latest trends, customer needs and business goals. Work with technical teams to ensure that the integration of LQM capabilities aligns with market requirements.
- Execution of Product Roadmap: Lead end to end of the product roadmap, ensuring timely delivery of features that enhance user workflows in computational chemistry and drug discovery. Oversee the development of the platform for AI based screening of compounds particularly using Causal AI and physics based methods. Work with scientists, software engineers and UI/UX designers to translate user needs to detailed product specifications and user stories. Provide in depth domain knowledge on scientific workflows to ensure product features are intuitive for end users.
- Stakeholder Engagement and Feedback: Continuously engage with internal and external stakeholders to gather feedback and validate new product features, Build strong relationships with users ensuring the product aligns with their evolving needs and drives better drug discovery outcomes in terms of quality, speed and scale.
- Performance Monitoring: Monitor and analyze key performance indicators such as user adoption rates, time saved and accuracy of predictions to iterate and improve the platform continuously.
Who you are
- Master’s degree in Chemistry, Physics, Biological Science or a related field. PhD degree in biological sciences desirable.
- Hands on experience with computational chemistry or biological pathway modeling using AI and physics based methods in drug discovery and development.
- Proven experience (1+ years) as a product manager with focus on developing software in the scientific domain, with specialization in drug discovery applications.
- Solid understanding of computational methods used in life sciences.
- Experience with software development process, agile methodologies and user-centric design principles.
- Experience in collaborating with cross-functional teams including engineers, designers and research scientists.
- Excellent communication, presentation and interpersonal skills to foster collaboration and drive alignment.
- A passion for scientific research, innovation, and leveraging software to advance computational chemistry and material science.
SandboxAQ welcomes all.
Required profile
Experience
Other Skills
- Collaboration
- Analytical Thinking
- Social Skills
- Verbal Communication Skills
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