About the Role
The role involves collaborating with research teams and engineers to develop scalable architectures that integrate AI, high-performance computing, and domain-specific applications in drug discovery. The individual will translate complex biological problems into technical solutions using accelerated computing technologies.
Responsibilities
- Design and deploy scalable software architectures tailored for computational biology workflows
- Collaborate with data scientists and domain experts to integrate AI models into drug development pipelines
- Evaluate and optimize performance of scientific computing applications on GPU-accelerated platforms
- Translate life sciences research requirements into technical system designs
- Support integration of molecular simulation, genomics, and imaging tools with AI frameworks
- Provide technical guidance during proof-of-concept and production deployment phases
- Engage with cross-functional teams to align architecture with scientific objectives
- Document system designs, workflows, and implementation strategies
- Identify bottlenecks in computational pipelines and recommend improvements
- Advocate for best practices in software engineering and high-performance computing
- Assist in benchmarking and validating new algorithms on accelerated infrastructure
- Present technical solutions to internal and external stakeholders
- Stay current with advancements in computational drug discovery and AI methods
- Contribute to open-source or research collaborations when applicable
- Ensure solutions meet security, scalability, and reproducibility standards
- Work closely with product teams to influence roadmap based on scientific use cases
- Support customer-facing initiatives with technical depth and clarity
- Troubleshoot system-level issues in complex software environments
- Facilitate knowledge transfer across teams and geographies
- Promote adoption of accelerated computing in pharmaceutical research settings
Nice to Have
- PhD in a life sciences or computational field with technical focus
- Direct experience in pharmaceutical or biotech R&D settings
- Prior work on molecular dynamics, structure-based drug design, or genomics analysis
- Involvement in open-source scientific software projects
- Publications or contributions to computational biology methods
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility based on location and role needs
Team
Part of a global team focused on advancing AI and accelerated computing in life sciences
About the Team
This team focuses on building next-generation computing platforms for life sciences, combining AI, simulation, and data analysis to transform how drugs are discovered and developed.
Impact
Solutions developed in this role directly influence the speed and accuracy of drug discovery efforts across academic, biotech, and pharmaceutical institutions.
Available for qualified candidates requiring sponsorship
