Senior Engineer – Signal Processing
Foresite Labs
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San Diego, CA
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Not Applicable
Posted April 4, 2026
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Responsibilities
Responsibilities
- Develop a data processing pipeline that transforms biological signals into discrete data sources for downstream processing.
- Implement novel algorithms and improve proven algorithms in novel ways to optimize throughput and quality of biological detection systems.
- Work closely with hardware and chemistry teams to optimize workflow and instrumentation to achieve the highest possible data quality.
- Work closely with bioinformatics teams to optimize performance of downstream assays and applications.
- Use modeling and analysis to predict future performance and identify key parameters limiting potential data quality.
- Work with chemistry and hardware teams to prioritize experiments that will guide the system to its theoretical limits.
Not Met Priorities
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Requirements
- Bioinformatics, or related field.
- Strong understanding of signal processing, digital communication, and optimal system design.
- Proficiency in Python, MATLAB, C++ or similar language and high-performance computing frameworks.
Preferred Skills
- Familiarity with machine learning techniques for image processing, channel optimization, or related areas.
- Experience with GPU-accelerated computation (CUDA, RAPIDS, etc.)
- Experience in cross-functional collaboration with engineering, chemistry and biochemistry teams.
Education
- (Not required) – Education
- (Not required) – BS, MS or PhD in Electrical Engineering, Computer Science, Physics,
- (Not required) – Bioinformatics, or related field.
- (Not required) – BS and 5+ MS and 3+ years or PhD and 0+ years of experience in digital or analog signal processing, image analysis, communications, physical layer algorithm development or comparable field.
Location: San Diego, CA
Job Type: Full-Time
$145,000-$150,000
Position Overview
We are seeking a Senior Engineer – Signal Processing to help create a high-throughput, optimized bioinformatic signal pipeline. You will use your background in image processing, signal processing, discrete data transmission and communication theory to develop a pipeline that extracts the maximum possible amount of information from our dense and noisy biological assays. You will implement and optimize a data pipeline that uses adaptive filtering, physics- based modeling, decision-based feedback, and other techniques borrowed from telecommunication theory to process the high-throughput stream of data generated by our instruments. Although the underlying physical systems may be new to you, the math will not and you will adapt familiar concepts such as signal-to-noise ratio and maximum-likelihood detection to develop novel algorithms addressing unique challenges.
The ideal candidate is eager to take their experience in signal processing and apply it to decoding signals from complex biological systems that will advance our mission to radically improve healthcare.
Key Responsibilities
Develop a data processing pipeline that transforms biological signals into discrete data sources for downstream processing.
Implement novel algorithms and improve proven algorithms in novel ways to optimize throughput and quality of biological detection systems.
Work closely with hardware and chemistry teams to optimize workflow and instrumentation to achieve the highest possible data quality.
Work closely with bioinformatics teams to optimize performance of downstream assays and applications.
Use modeling and analysis to predict future performance and identify key parameters limiting potential data quality. Work with chemistry and hardware teams to prioritize experiments that will guide the system to its theoretical limits.
Qualifications
Education
BS, MS or PhD in Electrical Engineering, Computer Science, Physics,
Bioinformatics, or related field.
Minimum Qualifications
BS and 5+ MS and 3+ years or PhD and 0+ years of experience in digital or analog signal processing, image analysis, communications, physical layer algorithm development or comparable field.
Strong understanding of signal processing, digital communication, and optimal system design.
Proficiency in Python, MATLAB, C++ or similar language and high-performance computing frameworks.
Preferred Qualifications
Familiarity with machine learning techniques for image processing, channel optimization, or related areas.
Experience with GPU-accelerated computation (CUDA, RAPIDS, etc.)
Experience in cross-functional collaboration with engineering, chemistry and biochemistry teams.
Why Join Us
Influence the foundational technologies and strategies of a company poised to shape the future of clinical genomics and healthcare.
Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued.
Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering.
Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration.
We are an equal opportunity employer. We thrive on diversity and collaboration.
Compensation Range: $145K - $150K
Job Type: Full-Time
$145,000-$150,000
Position Overview
We are seeking a Senior Engineer – Signal Processing to help create a high-throughput, optimized bioinformatic signal pipeline. You will use your background in image processing, signal processing, discrete data transmission and communication theory to develop a pipeline that extracts the maximum possible amount of information from our dense and noisy biological assays. You will implement and optimize a data pipeline that uses adaptive filtering, physics- based modeling, decision-based feedback, and other techniques borrowed from telecommunication theory to process the high-throughput stream of data generated by our instruments. Although the underlying physical systems may be new to you, the math will not and you will adapt familiar concepts such as signal-to-noise ratio and maximum-likelihood detection to develop novel algorithms addressing unique challenges.
The ideal candidate is eager to take their experience in signal processing and apply it to decoding signals from complex biological systems that will advance our mission to radically improve healthcare.
Key Responsibilities
Develop a data processing pipeline that transforms biological signals into discrete data sources for downstream processing.
Implement novel algorithms and improve proven algorithms in novel ways to optimize throughput and quality of biological detection systems.
Work closely with hardware and chemistry teams to optimize workflow and instrumentation to achieve the highest possible data quality.
Work closely with bioinformatics teams to optimize performance of downstream assays and applications.
Use modeling and analysis to predict future performance and identify key parameters limiting potential data quality. Work with chemistry and hardware teams to prioritize experiments that will guide the system to its theoretical limits.
Qualifications
Education
BS, MS or PhD in Electrical Engineering, Computer Science, Physics,
Bioinformatics, or related field.
Minimum Qualifications
BS and 5+ MS and 3+ years or PhD and 0+ years of experience in digital or analog signal processing, image analysis, communications, physical layer algorithm development or comparable field.
Strong understanding of signal processing, digital communication, and optimal system design.
Proficiency in Python, MATLAB, C++ or similar language and high-performance computing frameworks.
Preferred Qualifications
Familiarity with machine learning techniques for image processing, channel optimization, or related areas.
Experience with GPU-accelerated computation (CUDA, RAPIDS, etc.)
Experience in cross-functional collaboration with engineering, chemistry and biochemistry teams.
Why Join Us
Influence the foundational technologies and strategies of a company poised to shape the future of clinical genomics and healthcare.
Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued.
Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering.
Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration.
We are an equal opportunity employer. We thrive on diversity and collaboration.
Compensation Range: $145K - $150K