Lead Python Engineer (Scientific Computing, HPC)

Quantori; United States; Híbrido; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Remote or office work

Continuous education, mentoring, and专业

Descripción de la vacante

Quantori is seeking a Lead Python Engineer in the San Francisco Bay Area to collaborate with scientists on addressing pain points, developing features, integrating systems, and advancing scientific software. The role blends hands-on coding with HPC workflows in a hybrid work model (2–3 days on site).

Key tasks include building scalable Python backend services, optimizing data processing pipelines, and leveraging AWS and Docker to support research workloads.

Formación

• 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.

Conocimientos

Python

Linux

REST APIs

Microservices

Django/FastAPI

SQL

AI-assisted tools

Team communication

Herramientas

Docker

AWS

Slurm

Shared filesystems

Descripción del empleo

Lead Python Engineer (Scientific Computing, HPC)

We are looking for a Lead Python Engineer who will work closely with scientists to address existing pain points, develop new features, integrate systems, and improve scientific software solutions.

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
• Continuous education, mentoring, and professional development programs
• A team with excellent tech expertise