Lead Python Engineer (Scientific Computing, HPC)

Workplace: remote 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