Agilent is seeking an Algorithm Engineer to join our mass spectrometry data analysis software team in Santa Clara, CA. This role will focus on designing, developing, validating, and optimizing algorithms used to analyze complex scientific data generated by Agilent mass spectrometry systems and software platforms.
The ideal candidate is someone who enjoys working deeply with data, identifying patterns, solving complex analytical problems, and translating scientific and customer needs into reliable, scalable software solutions. This role will support data analysis capabilities used across multiple applications, including workflows for biopharma, large molecule characterization, small molecule analysis, food safety, environmental analysis, and other life science and applied market applications.
You will work closely with software engineers, test engineers, application scientists, internal scientific experts, and customer-facing teams to advance Agilent’s mass spectrometry data analysis capabilities. This is not a siloed role; the Algorithm Engineer will collaborate across teams to understand real scientific workflows, improve existing algorithms, and develop new approaches that help customers extract meaningful insights from complex data sets.
Key Responsibilities
Design, develop, test, and optimize algorithms for mass spectrometry data analysis, including feature finding, signal processing, peak detection, data extraction, pattern recognition, and related analytical workflows.
Enhance and maintain existing algorithms used across Agilent software applications to improve accuracy, performance, scalability, usability, and reliability.
Apply machine learning, statistical modeling, numerical methods, signal processing, and data structures/algorithms to solve complex scientific data analysis problems.
Develop production-quality analytical software components that support biochemical analysis of mass spectrometry data across multiple applications and customer workflows.
Partner with software engineers to implement algorithms within Agilent software platforms, with a focus on maintainable, testable, and scalable code.
Collaborate with internal scientists, application experts, and external customers to understand algorithm, data analysis, and visualization needs.
Invent, prototype, and re-engineer software algorithms and data analysis approaches that improve how users interpret complex scientific data sets.
Participate in engineering discussions, design reviews, and technical problem-solving sessions with cross-functional teams.
Design and execute validation strategies, test plans, benchmarks, and performance analyses to ensure algorithms meet functional, scientific, and performance requirements.
Support modernization efforts by contributing to algorithm and software architecture improvements across current and future Agilent data analysis platforms.
Use modern development practices and AI-enabled tools, where appropriate, to improve development efficiency, analysis capability, and engineering productivity.
Communicate technical concepts clearly to engineering partners, scientists, stakeholders, and customers.
Required Qualifications
Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, Electrical Engineering, Bioinformatics, Analytical Chemistry, or a related technical/scientific field.
4+ years of experience developing production-grade algorithms, analytical software, scientific software, or data analysis tools.
Strong programming skills in C#, C++, Python, Java, or similar programming languages, with willingness to work in a Microsoft/C# development environment.
Strong foundation in scientific algorithm development, with expertise in one or more of the following: signal processing, numerical methods, statistical modeling, machine learning, pattern recognition, optimization, or computational science.
Experience working with complex numerical or scientific data sets and developing methods to identify patterns, extract meaningful signals, and improve analytical interpretation.
Ability to write clean, maintainable, testable code and collaborate effectively within an engineering development environment.
Strong problem-solving skills, curiosity, and ability to work through ambiguous scientific and technical challenges.
Excellent written and verbal communication skills.
Preferred Qualifications
Experience with mass spectrometry, LC/MS, GC/MS, chromatography, proteomics, biopharma workflows, large molecule characterization, small molecule analysis, food safety, environmental testing, or related analytical science domains.
Experience developing algorithms for feature detection, peak identification, signal processing, quantitative analysis, visualization, chemometrics, or scientific workflow automation.
Familiarity with AI-enabled development tools, agent-based tools, or applied machine learning approaches for scientific data analysis or software development.
Experience working with scientists, application specialists, customers, or cross-functional product development teams.
Background in bioinformatics, computational chemistry, analytical chemistry, life sciences, or scientific instrumentation software.
Experience contributing to commercial software products, regulated scientific software, or software used in laboratory environments.
Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least September 21, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $140,160.00 - $219,000.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: R&DSkills Required
- Master's or Ph.D. degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, Electrical Engineering, Bioinformatics, Analytical Chemistry, or a related technical or scientific field
- 4+ years of experience developing production-grade algorithms, analytical software, scientific software, or data analysis tools
- Strong programming skills in C#, C++, Python, Java, or similar languages, with willingness to work in a Microsoft/C# development environment
- Expertise in one or more of signal processing, numerical methods, statistical modeling, machine learning, pattern recognition, optimization, or computational science
- Experience working with complex numerical or scientific datasets and developing methods to identify patterns, extract signals, and improve analytical interpretation
- Ability to write clean, maintainable, testable code and collaborate within an engineering development environment
- Strong problem-solving skills, curiosity, and ability to address ambiguous scientific and technical challenges
- Excellent written and verbal communication skills
- Experience with mass spectrometry, LC/MS, GC/MS, chromatography, proteomics, biopharma workflows, or related analytical science domains
- Experience developing algorithms for feature detection, peak identification, signal processing, quantitative analysis, visualization, chemometrics, or scientific workflow automation
- Familiarity with AI-enabled development tools, agent-based tools, or applied machine learning approaches
- Experience working with scientists, application specialists, customers, or cross-functional product development teams
- Background in bioinformatics, computational chemistry, analytical chemistry, life sciences, or scientific instrumentation software
- Experience contributing to commercial software products, regulated scientific software, or laboratory software
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
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Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
Agilent Technologies Insights
What We Do
Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
