Data Scientist/MLOPS/Architect

Position: Sr Infrastructure/Data Science Architect-Open Position-CA
Type: contract to hire
Duration: 12+ months
Location: Pleasanton, CA

Required Qualifications

• Advanced degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field
• Minimum 7 years of experience building and operating data science and AI infrastructure, including with open-source tooling.
• Demonstrated experience leading platform projects that span multiple teams (IT + security/compliance + platform owners)
• Significant hands-on experience in a Healthcare or Research setting with:
• Kubernetes and container-based platforms in production environments
• Healthcare or research-focused ML and LLM applications
• R and Python for advanced analytics
• Distributed computing and scalable ML systems
• Python and Linux/Unix scripting for automation and tooling
• Demonstrated experience implementing Continuous Integration/Continuous Delivery concepts in research or ML environments.
• Strong verbal and written communication skills and a track record of partnering with non-platform stakeholders (such as researchers, analysts, or clinical teams) to translate their needs into platform capabilities

Preferred Qualifications

• Prior experience in clinical research, public health, or life sciences environments.
• Familiarity with regulated data environments (HIPAA, IRB-controlled research).
• Experience supporting collaborative, multi-institutional research projects.
• Experience deploying ML systems in onprem or private cloud research computing environments.
• Fluency with: Python, Linux OS and scripting, CI/CD, container building (Docker compatible), configuration syntaxes (YAML, TOML, XML), JSON, RESTful service, Airflow
• Working knowledge of R programming, RStudio configuration, Spark/H2O, serverless functions, Ci/CD, Gitlab, Vault, Django, Rancher, Harvester

Please email us your updated resume along with the contact details ASAP.