Algorithm Engineer
Agilent Technologies1 day ago
Santa Clara, CA, USAMid Level
Base Salary
$140k - $219k/yr
Responsibilities
- Design, develop, test, validate, and optimize algorithms for mass spectrometry data analysis, including feature finding, signal processing, peak detection, data extraction, and pattern recognition.
- Enhance and maintain analytical algorithms to improve accuracy, performance, scalability, usability, and reliability across Agilent software applications.
- Apply machine learning, statistical modeling, numerical methods, signal processing, data structures, and algorithms to complex scientific data problems.
- Develop production-quality analytical software components for biochemical and mass spectrometry data analysis workflows.
- Partner with software engineers to implement maintainable, testable, and scalable algorithms within Agilent software platforms.
- Collaborate with scientists, application experts, customer-facing teams, and customers to understand scientific workflows and data analysis needs.
- Create prototypes and re-engineer algorithms and data analysis approaches for interpreting complex scientific datasets.
- Design validation strategies, test plans, benchmarks, and performance analyses to verify functional, scientific, and performance requirements.
- Participate in engineering discussions, design reviews, technical problem-solving, and software architecture modernization efforts.
- Communicate technical concepts to engineering partners, scientists, stakeholders, and customers.
Requirements
- 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.
- At least 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, and testable code in an engineering development environment.
- Preferred experience with mass spectrometry, LC/MS, GC/MS, chromatography, proteomics, biopharma workflows, analytical science, or scientific instrumentation software.
- Preferred experience with 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 for scientific data analysis or software development is preferred.
- Experience collaborating with scientists, application specialists, customers, or cross-functional product development teams is preferred.
- Experience with commercial products, regulated scientific software, or laboratory software is preferred.
- Strong problem-solving, curiosity, communication, and ability to address ambiguous scientific and technical challenges.
Benefits
- Full-time day-shift position with occasional travel and no stated end date.
- Pay range of $140,160.00-$219,000.00 per year, plus eligibility for bonus, stock, and benefits.
- Agilent provides equal employment opportunity and workplace accessibility support.
- Applications are accepted until at least September 21, 2026, or until the job is no longer posted.
About Agilent Technologies
Agilent Technologies builds analytical instruments, lab software, diagnostic and genomics solutions, plus consumables and services used by pharmaceutical, chemical, environmental, and clinical labs. It sells systems such as chromatography and mass spectrometry platforms, pathology and molecular diagnostic kits, and supports lab operations through its CrossLab services business. Founded in 1999 and headquartered in Santa Clara, California, Agilent is a public company listed on the NYSE (ticker: A) with global manufacturing and R&D sites.