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ThermoFisher Scientific

Systems Design Engineer - Bioengineering

Pleasanton, CA, United States

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Job details

Posting language: English
Posted: Nov 1, 2026

Original job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Discover Impactful Work

Thermo Fisher Scientific’s Genetic Sciences Division develops integrated platforms, instruments, consumables and reagents for research and clinical applications.

We are seeking an early-career Bioengineer to help develop next-generation genetic-analysis, multiomics and automated scientific workflows. This is a hands-on systems role for someone who enjoys building prototypes, designing experiments, integrating technologies and using data to solve multidisciplinary problems.

The successful candidate will bring modern capabilities in computational modeling, automation, data science and AI. Working with experienced scientists and engineers, this person will contribute to system definition, architecture, integration and verification across instruments, consumables, assays, software and data.

Location

This is a fully onsite role based at our Pleasanton, CA facility. Relocation assistance is not provided for this position.

What You’ll Do

Support System Definition and Product Development

Collaborate with customers, scientists, engineers and external partners to understand product and workflow needs.
Translate customer and scientific needs into system requirements, specifications and measurable performance targets.
Maintain traceability among customer needs, system requirements, subsystem requirements and verification evidence.
Contribute to system architecture, interface definition, concept development and technical trade studies.
Evaluate candidate concepts based on scientific performance, feasibility, throughput, cost, usability and risk.
Support products from early feasibility through integration, verification and design transfer.

Build, Integrate and Test Systems

Design and build prototypes integrating optical, electrical, mechanical, fluidic, biological and software components.
Develop test fixtures, automated experiments and data-acquisition methods.
Conduct system integration, testing and troubleshooting of complex instrumentation and consumable workflows.
Design experimental plans, perform studies and analyze results using appropriate statistical methods.
Investigate failures using root-cause analysis, DOE, FMEA and structured problem-solving.
Provide clear, data-driven recommendations through reports, presentations and technical discussions.
Contribute to design reviews, risk assessments and product-development documentation.

Apply Models, Data and AI

Develop models for process behavior, throughput, performance and system trade-offs.
Apply MBSE practices to connect workflows, requirements, system behavior, interfaces and verification.
Use Python, MATLAB, R, JMP or comparable tools for modeling, data analysis and visualization.
Apply machine learning and advanced analytics to identify patterns, anomalies and system-performance drivers.
Use AI-assisted tools to accelerate literature review, concept exploration, coding, experiment design and technical analysis.
Develop reproducible analysis pipelines with appropriate version control, documentation and scientific review.
Validate AI-generated results through independent analysis and experimentation.

Connect Biology and Engineering

Evaluate interactions among samples, assays, reagents, consumables, instruments and software.
Support genetic-analysis and sample-preparation workflows such as qPCR, dPCR, sequencing or multiomics.
Help teams understand sources of biological and technical variability.
Partner with assay, consumables, systems, automation and V&V teams to improve performance and robustness.
Ensure engineering decisions reflect complete customer workflows rather than isolated components.
Contribute to development of products for research-use and regulated markets.

Advance Automation and Modern Engineering Methods

Integrate sensors, microcontrollers, instruments, liquid handlers or robotics into experimental systems.
Develop scripts and software tools for instrument control, automated testing and data collection.
Use CAD, simulation, rapid prototyping and laboratory fabrication to evaluate concepts quickly.
Apply model-based and automated methods to reduce development cycles and physical iteration.
Explore AI applications in workflow optimization, anomaly detection, predictive modeling and intelligent instruments.
Introduce useful new tools and methods while learning from experienced product developers.

What You Bring

Education and Experience

One of the following combinations:

PhD in bioengineering, biomedical engineering, chemical engineering, biophysics or a related field, with zero to approximately three years of relevant experience.
Master’s degree in a related discipline with approximately two or more years of relevant research or industry experience.
Bachelor’s degree in a related discipline with approximately five or more years of relevant product-development experience.

Additional qualifications

Hands-on experience developing experimental systems, prototypes or engineering solutions for biological applications.
Experience working across scientific and engineering disciplines.
Industry experience is valued but not required when academic work demonstrates practical system development and problem-solving.

Technical Capabilities

Strong foundation in bioengineering, molecular biology, biophysics or biological-system development.
Hands-on experience with several of the following:
Molecular biology or sample-preparation workflows
Microfluidics and fluid handling
Optical, electrical or mechanical instrumentation
Sensors, data acquisition and instrument control
Robotics or laboratory automation
CAD and rapid prototyping
Computational modeling and simulation
Statistics, machine learning or AI
Experience with systems-engineering practices, including requirements, interfaces, risk analysis and V&V.
Familiarity with DOE, RCA, FMEA and statistical analysis.
Proficiency with tools such as Python, MATLAB, JMP, R, LabVIEW, SolidWorks or comparable platforms.
Experience with qPCR, dPCR, CE/Sanger sequencing, microarray, NGS, DNA synthesis or related workflows is preferred.

Behaviors

Hands-on builder who learns through experiments, prototypes and data.
Curious across biology, engineering, software and emerging technology.
Highly data-driven and attentive to system-level effects.
Comfortable working through ambiguity and complex technical problems.
Builds credibility and collaborative relationships across disciplines.
Communicates technical results clearly in writing and presentations.
Moves quickly while maintaining scientific rigor and reproducibility.
Uses AI ambitiously while validating results through sound engineering judgment.

Why This Role Matters

The next generation of life-science platforms will be developed by engineers who can connect biology, instrumentation, consumables, automation, computation and AI. This role will bring modern capabilities and new perspectives into GSD while developing future technical talent through hands-on product development.

Compensation and Benefits

The salary range estimated for this position based in California is $107,800.00–$143,800.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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More about this job

Skills

Research
Workflow
ICT system integration
Troubleshooting
Perform studies and field investigation
Root cause analysis
Problem solving
Presentation skills
Documentation
Develop models
Python
The MathWorks MATLAB
R
Data analysis
Machine learning
Sample preparation
Robotics
Test automation
Biomedical engineering
Chemical engineering
Molecular biology
Statistics
LabVIEW
Dassault Systemes SolidWorks

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