The Scientist I in S&S will help ensure the reliability and continuous improvement of Guardant’s on-market assays.
Locations (2)
Redwood City, California, United States
Palo Alto, California, United States
Compensation
Primary Location Base Pay Range: $115,200 - $158,400
Other US Location(s) Base Pay Range: $97,920 - $134,640
If the role is performed in Colorado, the pay range for this job is: $103,680 - $142,560
Responsibilities
Draft and execute verification and validation protocols, including IQ/OQ/PQ activities
Operate and troubleshoot NGS workflows end to end
Partner with Technology Development and Bioinformatics to develop, evaluate, and implement assay and process improvements
Analyze assay, reagent QC, sequencing, and clinical operations data
Follow FDA and ISO 13485 quality-system standards and support structured investigations
Requirements
PhD in Molecular Biology, Genomics, Biochemistry or related field
Nice to have: process automation
Nice to have: liquid-handling platforms
Nice to have: NGS bioinformatics outputs
Nice to have: verification and validation experience
The Controls Engineer will lead the implementation of BESS (Battery Energy Storage Systems) capable of ultra-fast response to dispatch commands and grid supply variations.
Compensation
Canadian Solar offers a competitive salary plus fully comprehensive benefits and performance bonus package based on an annual objective achievement. Our generous benefits package includes a 401(k) Retirement Plan, medical/dental/life/disability program, vacation, and sick days.
Responsibilities
Drafting and negotiating technical contract exhibits for fast response BESS plant controllers.
Managing stakeholders, utilities, and suppliers to design and deliver fast response controllers.
Verifying testing and commissioning of advanced BESS plant controllers.
Mentoring team members and supervising work processes to ensure high-quality deliverables are developed within timeline and budget commitments.
Developing new tools, implementing processes, providing feedback, and working with other stakeholders to ensure continuous improvement of the technology/engineering/delivery value stream.
Requirements
A degree in engineering relevant to the industry (Electrical Engineering preferred)
Lead technical vision and architecture for AI systems in a senior individual-contributor role, guiding advanced AI across commercial, medical, and technology domains.
Responsibilities
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands‑on technical leadership to project teams; set design direction, review architectures and code, and remove blockers on sophisticated problems
Lead the design of multi‑agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human‑in‑the‑loop patterns
Establish standards for evaluation, including automated and human‑in‑the‑loop methods, benchmarking, and quality gates pre‑ and post‑release
Drive approaches to fine‑tuning, distillation and reinforcement learning to improve quality, cost and latency over off‑the‑shelf models
Requirements
Bachelor's degree in computer science, mathematics, statistics, engineering, physics, computational sciences or a related quantitative field
Nice to have: Master’s or PhD in machine learning, computer science or related field
Nice to have: reinforcement learning (RLHF, RLAIF)
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands‑on technical leadership to project teams; set design direction, review architectures and code, and remove blockers on sophisticated problems
Lead the design of multi‑agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human‑in‑the‑loop patterns
Establish standards for evaluation, including automated and human‑in‑the‑loop methods, benchmarking, and quality gates pre‑ and post‑release
Drive approaches to fine‑tuning, distillation and reinforcement learning to improve quality, cost and latency over off‑the‑shelf models
Requirements
Bachelor's in Computer Science or related quantitative field
Master's or PhD in machine learning, computer science or related field
Nice to have: Reinforcement learning, including RLHF, RLAIF or other preference‑optimisation methods
Nice to have: Knowledge graphs, NLP, and structured and unstructured data (text and image)
Nice to have: Data and pipeline tooling such as Airflow, Spark and data‑quality frameworks
A 100% hands-on Data Platform Engineer to provide technical support, resolve complex issues, and maintain stability and security of customer environments across cloud and on platforms.
Responsibilities
Install, configure, and support NX1 product clusters in cloud (AWS, Azure, GCP) and on-premises environments
Maintain, patch, and upgrade existing NX1 product setups in a 24 x 7 environments
Configure Datadog/Grafana agents and develop dashboards to monitor and alert operations teams
Manage daily operations with oncall rotations of Nexusone products and cloud-based technologies
Evaluate and optimize complex distributed production deployments, identify bottlenecks, and recommend performance enhancements
Requirements
Nice to have: Cloudera/Databricks/Snowflake Administrator certification
Modeler to develop and analyze complex dynamic systems for national security, healthcare, and transportation domains.
Compensation
$98,800 - $123,500 - $148,200 Annual
Responsibilities
Formulate and develop models and simulations of real world problems involving complex dynamic systems
Develop research questions and test hypotheses with open ended tasking
Work with government sponsors to evaluate solutions and conduct analyses
Support development and application of analytic models
Present results intuitively and actionably
Requirements
Master's degree in quantitative field such as Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics
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