Lead Python Engineer (Scientific Computing, HPC)

Location: San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite)

What we expect

• Pharma/Biotech R&D application experience
• Strong Python development experience in scientific computing or data-intensive applications
• Hands-on Scientific Computing and HPC experience, including Slurm, shared filesystems, and batch processing
• Strong Linux, shell scripting, scientific package and environment management skills
• Experience developing and troubleshooting scientific data processing and analysis pipelines
• AWS Cloud experience and Docker
• REST APIs, microservices, and Python backend frameworks (Django/FastAPI or similar)
• SQL and relational databases
• Experience with AI-assisted software development tools
• Strong communication skills and ability to work directly with scientists to understand scientific workflows and resolve technical issues

Nice to have:

• Bioinformatics or computational biology experience
• GPU workloads and scientific workload optimization
• Spark and distributed data processing
• OpenEye/FastROCS or other scientific computing toolkits

We offer:

• Competitive compensation
• Remote or office work
• Flexible working hours
• Continuous education, mentoring, and professional development programs
• A team with excellent tech expertise