Algorithm Engineer (Mass Spectrometry)

Location: Santa Clara, California, United States

Salary: $140,160–$219,000 per year, plus eligibility for bonus, stock, and benefits.

Company

hirify.global develops scientific instruments and software for analytical and life science applications.

What you will do

• Design, develop, test, validate, and optimize algorithms for mass spectrometry data analysis.
• Implement feature finding, signal processing, peak detection, data extraction, pattern recognition, and related analytical workflows.
• Enhance existing algorithms to improve accuracy, performance, scalability, usability, and reliability.
• Develop production-quality analytical software components for biochemical and scientific data analysis.
• Partner with software engineers, scientists, application experts, and customer-facing teams to translate scientific workflows into software solutions.
• Design validation strategies, test plans, benchmarks, and performance analyses for current and future data analysis platforms.

Requirements

• Master’s or Ph.D. degree in computer science, machine learning, statistics, applied mathematics, electrical engineering, bioinformatics, analytical chemistry, or a related 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 a similar language, 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 writing clean, maintainable, and testable code.
• Work location: Santa Clara, California, United States.

Nice to have

• Experience with mass spectrometry, LC/MS, GC/MS, chromatography, proteomics, biopharma, or related analytical science domains.
• Experience with feature detection, peak identification, 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.
• Experience with commercial, regulated scientific, or laboratory software products.

Culture & Benefits

• Full-time daytime schedule with occasional travel.
• Cross-functional collaboration with engineering, scientific, application, and customer-facing teams.
• Eligibility for bonus, stock, and benefits.
• Inclusive, merit-based workplace committed to equal employment opportunity and accessibility.