Lead Python Engineer (Scientific Computing, HPC)
Location:
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
If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to career@quantori.com. We will try to find something special and interesting for you!