(Senior) Machine Learning Research Engineer, Healthcare Data - Remote

Freenome; South San Francisco (CA); Remote; USD 157,000 - 240,000; Full time

Job summary

Join a pioneering biotech firm dedicated to revolutionizing cancer detection through innovative multiomics and machine learning technologies. As a Senior Machine Learning Research Engineer, you will spearhead the development of advanced ML modeling pipelines, collaborating with a diverse team of experts to transform algorithms into impactful production-grade solutions. This role offers an exciting opportunity to make a meaningful difference in patients' lives while working in a dynamic and supportive environment. If you're passionate about leveraging technology for healthcare advancements, this position is perfect for you.

Qualifications

• 5+ years of industry experience in ML and software engineering.
• Strong knowledge of ML fundamentals and production environments.

Responsibilities

• Lead the development of ML modeling pipelines for healthcare data.
• Collaborate with cross-functional teams to optimize ML algorithms.

Skills

Machine Learning

Software Engineering

ML Frameworks

Data Transformation

Algorithm Development

Education

MS in a relevant quantitative field

Equivalent research experience

Tools

Pytorch

Ray

Cloud Computing

Job description

(Senior) Machine Learning Research Engineer, Healthcare Data II - Remote

Pay: $157,250.00 - $240,000.00 / year

Employment type: Full-Time

Job Description

Join employer and be part of a high-growth biotech company revolutionizing cancer detection. With a multiomics platform and machine learning, we aim to detect cancer in its earliest stages. As a Senior Machine Learning Research Engineer, you will lead the development of ML modeling pipelines, optimize existing pipelines, and collaborate with cross-functional teams to translate algorithms into production-grade ML pipelines. If you are passionate about making a positive impact on patients' lives and have a strong background in ML and software engineering, this is the opportunity for you.

What you'll do:

• Lead the engineering direction and development of ML modeling pipelines for electronic healthcare records
• Optimize pipelines for high-performance data transformation and preprocessing
• Partner with risk modeling scientists, biostatisticians, and clinical and business specialists to translate algorithms into production-grade ML pipelines
• Collaborate with platform engineering teams to build and train ML models
• Take a mindful, transparent, and humane approach to work

Must-haves:

• MS or equivalent research experience in a relevant, quantitative field
• 5+ years of industry experience in ML and software engineering
• Strong knowledge of ML fundamentals
• Expertise in building ML pipelines and training models in production environments
• Practical and theoretical understanding of models and algorithms
• Proficiency in one or more ML frameworks

Nice to haves:

• Deep domain-specific experience in electronic healthcare data
• Experience in scaling proof of concept implementations to robust ML engineering pipelines
• Experience in distributed model training using Pytorch and/or Ray
• Experience in a production software engineering environment
• Experience with containerized cloud computing environments

Additional Information:

This position is open to remote within the US or onsite at our headquarters in South San Francisco, CA. The US target range of our base salary for new hires is $157,250 - $240,000. Freenome is an equal opportunity employer and values diversity. Discrimination is not tolerated.

About the company

Freenome is a biotechnology company based in South San Francisco that has pioneered the most comprehensive multiomics platform for early cancer detection with a simple blood test.