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Remote Downstream Process Development Scientist Jobs in Seattle, WA

GPU Programmer - Remote

Seattle, WA ยท Remote

$60 - $85/hr

You will apply your expertise in GPU programming, performance optimization, and C++ development to ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

Lead AI/ML Applied Scientist

Bellevue, WA ยท On-site +1

$154K - $193K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We ... automated processes for large-scale data analysis, machine-learning model development, model ...

... Science to real-world technical tasks. * Evaluate AI-generated solutions for complex geospatial problems, debugging, and code development. * Document problem-solving approaches, workflows, and ...

... Science to real-world technical tasks. * Evaluate AI-generated solutions for complex geospatial problems, debugging, and code development. * Document problem-solving approaches, workflows, and ...

You will apply your expertise in GPU programming, performance optimization, and C++ development to ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

You will apply your expertise in GPU programming, performance optimization, and C++ development to ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

You will apply your expertise in GPU programming, performance optimization, and C++ development to ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

... remote video security monitoring solutions. * Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

... remote video security monitoring solutions. * Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

... remote video security monitoring solutions. * Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

... live/remote video security monitoring solutions. Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

Senior Customer Support Representative (Remote)

Seattle, WA ยท Remote

$22 - $30.25/hr

... reach downstream teams. This role focuses on deep technical investigation, quality control, and ... Act as a triage between support & Dev, "translating" ticket information to be digestible in both ...

Showing results 41-60

Remote Downstream Process Development Scientist information

See Seattle, WA salary details

$23

$44

$70

How much do remote downstream process development scientist jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote downstream process development scientist in Seattle, WA is $44.00, according to ZipRecruiter salary data. Most workers in this role earn between $32.26 and $52.50 per hour, depending on experience, location, and employer.

What is a remote downstream process development scientist?

A Remote Downstream Process Development Scientist is a professional who designs, optimizes, and scales processes for purifying and isolating biological products, such as proteins or antibodies, often in the biotechnology or pharmaceutical industries. They work remotely, leveraging digital tools to collaborate with teams, analyze data, and guide laboratory operations. Their responsibilities include developing protocols, troubleshooting purification steps, and ensuring that processes meet quality and regulatory standards. This role is critical for transforming lab-scale discoveries into commercially viable products.

What are the key skills and qualifications needed to thrive as a remote downstream process development scientist?

To thrive as a Remote Downstream Process Development Scientist, you need a strong background in biochemistry, chemical engineering, or a related field, often supported by an advanced degree and experience in bioprocessing. Familiarity with chromatography systems, filtration technologies, and data analysis software, as well as knowledge of regulatory standards like GMP, is typically required. Exceptional problem-solving, project management, and cross-functional communication skills are crucial for remote collaboration and effective process optimization. These competencies ensure the efficient development, scale-up, and transfer of purification processes critical to biopharmaceutical manufacturing success.

How does a remote downstream process development scientist typically collaborate with onsite laboratory teams?

As a Remote Downstream Process Development Scientist, collaboration with onsite laboratory teams is essential to ensure the smooth transfer of process knowledge, data interpretation, and troubleshooting. Communication is often facilitated through regular video meetings, shared digital lab notebooks, and project management tools. While you may not be physically present for hands-on experiments, you play a crucial role in designing studies, analyzing results, and providing guidance on process optimization. Building strong virtual relationships and maintaining clear, timely communication are key to overcoming challenges related to distance and ensuring project success.

What is the difference between Remote Downstream Process Development Scientist vs Remote Upstream Process Development Scientist?

AspectRemote Downstream Process Development ScientistRemote Upstream Process Development Scientist
Required CredentialsBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in chromatography and purification techniquesBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in cell culture and bioreactor operations
Work EnvironmentLaboratory and pilot plant settings, often collaborative teamsLaboratory and bioreactor environments, often collaborative teams
Industry UsagePharmaceutical and biotech companies focusing on drug purificationPharmaceutical and biotech companies focusing on bioprocessing

The main difference between a Remote Downstream Process Development Scientist and a Remote Upstream Process Development Scientist lies in their focus areas. Downstream scientists specialize in purification and separation techniques, while upstream scientists focus on cell culture and bioreactor processes. Both roles require similar educational backgrounds and are vital in biopharmaceutical development, but they target different stages of the production process.

How much does a remote downstream process development scientist make?

A remote downstream process development scientist typically earns between $80,000 and $130,000 annually, depending on experience, education, and the specific employer. Salaries in California tend to be higher due to the cost of living and demand for biotech and pharmaceutical expertise. Compensation may also include benefits such as bonuses, stock options, and flexible work arrangements.

What are the most commonly searched types of Downstream Process Development Scientist jobs in Seattle, WA?

The most popular types of Downstream Process Development Scientist jobs in Seattle, WA are:

What are popular job titles related to Remote Downstream Process Development Scientist jobs in Seattle, WA?

For Remote Downstream Process Development Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Downstream Process Development Scientist jobs in Seattle, WA look for?

The top searched job categories for Remote Downstream Process Development Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Downstream Process Development Scientist jobs?

Cities near Seattle, WA with the most Remote Downstream Process Development Scientist job openings:

Infographic showing various Remote Downstream Process Development Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $91,520 per year, or $44 per hour.

Robotics/Mechatronics Expert - Remote

YO AI Labs

Seattle, WA โ€ข Remote

$80 - $100/hr

Full-time

Posted 9 days ago


Job description

Job Title: Robotics & Mechatronics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Robotics and Mechatronics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

The ideal candidate combines hands-on expertise in robotics, mechatronics, system design, and engineering problem-solving with practical experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork.

No prior experience in AI training is required—your domain expertise, technical judgment, and ability to apply AI agents to sophisticated engineering problems are what matter most.

Scope of Work
  • Analyze and solve practical robotics and mechatronics problems using advanced AI coding agents.
  • Design, implement, test, and document solutions to challenging technical scenarios involving robotics and mechatronic systems.
  • Demonstrate how AI agents can be applied to complex, ambiguous, or large-scale engineering problems.
  • Use AI coding agents for tasks such as navigating large codebases, debugging complex issues, developing features, and optimizing technical workflows.
  • Document agent-driven workflows, including the technical context, decisions, prompts or instructions, generated code sequences, iterations, and outcomes.
  • Evaluate AI-generated solutions for technical correctness, reliability, maintainability, and practical engineering relevance.
  • Provide structured written and verbal feedback on AI agent performance, usability, limitations, and effectiveness.
  • Contribute real-world examples involving end-to-end feature development, system design, architectural changes, debugging, and workflow automation.
  • Collaborate remotely with project stakeholders to identify opportunities for using AI agents to accelerate robotics and mechatronics development.
Required Skills
  • Robotics
  • Mechatronics
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • System Design
  • Debugging Complex Codebases
  • End-to-End Feature Development
  • Technical Documentation
  • Problem-Solving
  • Written and Verbal Communication
  • Remote Collaboration
Preferred Qualifications
  • Current or recent professional experience in robotics, mechatronics, automation, controls, embedded systems, or a related STEM discipline.
  • Demonstrated hands-on experience with robotics or mechatronics projects involving software, hardware, control systems, sensors, actuators, or system integration.
  • Proven experience using Codex, Claude Science, Claude Code, and Claude Cowork to generate and execute multi-step code sequences for real-world engineering applications.
  • Experience applying AI coding agents beyond simple code generation, including debugging, system design, architecture, optimization, testing, and technical workflow automation.
  • Experience working with large or complex codebases and implementing end-to-end technical features.
  • Familiarity with major architectural changes, refactoring, system integration, and troubleshooting complex engineering software.
  • Ability to clearly document technical workflows and explain how AI agents contributed to engineering decisions and outcomes.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts clearly.
  • Experience working independently in remote, collaborative engineering environments.
  • Ability to provide concrete examples demonstrating how AI agentic workflows have improved technical problem-solving, development speed, or engineering productivity.