Staff Machine Learning Scientist (Remote) at Freenome

Brisbane, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, HealthcareIndustries

Requirements

PhD or equivalent research experience with an AI emphasis in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics
6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques
Expertise demonstrated by research publications or industry achievements in driving independent research in applied machine learning, deep learning, and complex data modeling
Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees, and forests
Strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods
Track record of successfully using these methods to answer complex research questions
Ability to drive independent research and thrive in a highly cross-functional environment

Responsibilities

Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.)
Build new models or fine-tune existing models to identify biological changes resulting from disease
Build models that achieve high accuracy and that generalize robustly to new data
Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms
Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration
Take a mindful, transparent, and humane approach to your work
Develop algorithms for early, blood-based detection tests for cancer
Build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood
Work with computational biologists, molecular biologists, and ML engineers to design and drive research experiments

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningArtificial IntelligenceMultiomicsAlgorithms

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

The role can be hybrid based in Freenome's Brisbane, California headquarters (2-3 days per week in office), or remote.

What skills are required for the Staff Machine Learning Scientist position?

The role requires strong knowledge of artificial intelligence including machine learning fundamentals, extensive experience with deep learning methods, a track record of using these methods for complex research questions, and the ability to drive independent research in a cross-functional environment.

What is the salary for this position?

This information is not specified in the job description.

What is the company culture like at Freenome?

Freenome has a high-performing culture of respect and cross-collaboration, with mission-driven, results-oriented employees who bring diverse experience to solve problems and impact patients' lives.

What makes a strong candidate for this role?

A strong candidate is a determined, mission-driven Freenomer with expertise in AI/ML/DL, a proven track record in research, and the ability to thrive in cross-functional teams working on biological problems like cancer detection.

Freenome

Biotechnology company for early cancer detection

About Freenome

Freenome focuses on improving cancer detection through advanced blood tests. The company uses a multiomics approach, analyzing various biological data types, including genomics and proteomics, to find cancer markers in blood samples. This method allows for non-invasive early detection of cancer, which is crucial for effective treatment. Freenome differentiates itself from competitors by its unique combination of data analysis techniques and its commitment to clinical trials and research collaborations. The company's goal is to enhance cancer diagnostics and make early detection accessible to healthcare providers and patients, ultimately aiming to save lives through timely intervention.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$1,032.6MTotal Funding

LATE_VCCompany Stage

Biotechnology, HealthcareIndustries

201-500Employees

Benefits

Competitive market-based salaries

Annual bonus opportunities

Relocation packages

Medical, dental, & vision coverage

401k

Wellness programs

Equity

PTO

Risks

Employee layoffs may affect morale and innovation efforts.

Integration of Oncimmune Ltd. could divert focus from core projects.

Competitive landscape in cancer detection may impact Freenome's market share.

Differentiation

Freenome uses a unique multiomics approach for early cancer detection.

The company focuses on non-invasive blood tests for cancer screening.

Freenome's platform designs personalized health conditions based on cell-free genome analysis.

Upsides

Recent $254 million funding boosts clinical programs and platform expansion.

Partnership with Walgreens enhances clinical trial diversity and patient recruitment.

PROACT LUNG study positions Freenome as a leader in lung cancer diagnostics.

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