Freenome
Senior Machine Learning Scientist
Freenome, South San Francisco, California, us, 94083
Why join Freenome?
Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages.
Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning.
Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors.
At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count.
Become a Freenomer
Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time.
About This Opportunity
At Freenome, we are seeking a Senior Machine Learning Research Engineer to help grow the Freenome Computational Science team. The ideal candidate has strong knowledge of machine learning (ML) fundamentals and the ability to thrive in a highly cross-functional environment.
As a Senior Machine Learning Scientist, you will be responsible for leading the scientific direction and execution for the development of early, noninvasive detection tests for multiple cancers. You will build on a foundation of Machine Learning, Mathematics, Statistics and Computer Science to incorporate biology in the pursuit of early detection of disease. You will also work with computational biologists, molecular biologists and engineers to drive the iteration of research experiments and become the primary drivers towards Freenome’s mission of solving cancer.
What You’ll DoLead the direction and development of cutting edge research in statistical modeling and inference of biological problems (including cancer research, genomics, computational biology/bioinformatics, immunology, therapeutics, and more)Lead research projects that propose new methods and perspectives for modeling various biological changes resulting from diseases such as cancer, autoimmune disease, and infectionBuild and immediately apply core analyses in support of a long term research program in data driven biologyInterface with product teams to identify potential new problem areas in need of an ML solutionTake a mindful, transparent, and humane approach to your work
Must HavesPhD or equivalent research experience in a relevant, quantitative field such as Computer Science (AI or ML emphasis), Statistics, Mathematics, Engineering, or a related field3+ years of post-PhD or industry experience working on the technical subject matterExpertise, demonstrated by research publications or industry experience, in applied machine learning, data mining, pattern recognition, or AIStrong knowledge of mathematical fundamentals: statistics, probability theory, linear algebraPractical and theoretical understanding of fundamental models and algorithms in supervised and unsupervised learningProficiency in a general-purpose programming language: Python, Java, C, C++, etc.Familiarity working in a Linux server-based environmentExcellent ability to clearly communicate across disciplines and work collaboratively towards next steps in experimental iterationsA passion for innovation and demonstrated initiative in tackling new areas of researchExpert in one or more relevant machine learning model development, fitting and performance assessment techniquesAlmost always able to initiate and to independently conduct model architecture development and training as part of a broader project teamHighly effective and proactive at pressure testing results and building cross-checks into analysesHighly proficient at understanding what constitutes a well-structured ML model development experiment or studyProficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists
Nice To HavesDeep domain-specific experience in computational biology, genomics or a related fieldExperience in scientific parallel computing and/or in distributed computing environmentsExperience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systemsExperience in high-performance computing, including SIMD or GPU performance optimization
Benefits And Additional Information
The US target range of our base salary for new hires is $157,250 - $240,000. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors.
Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)Equal Employment Opportunity (EEO)Employee Polygraph Protection Act (EPPA)
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Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages.
Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning.
Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors.
At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count.
Become a Freenomer
Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time.
About This Opportunity
At Freenome, we are seeking a Senior Machine Learning Research Engineer to help grow the Freenome Computational Science team. The ideal candidate has strong knowledge of machine learning (ML) fundamentals and the ability to thrive in a highly cross-functional environment.
As a Senior Machine Learning Scientist, you will be responsible for leading the scientific direction and execution for the development of early, noninvasive detection tests for multiple cancers. You will build on a foundation of Machine Learning, Mathematics, Statistics and Computer Science to incorporate biology in the pursuit of early detection of disease. You will also work with computational biologists, molecular biologists and engineers to drive the iteration of research experiments and become the primary drivers towards Freenome’s mission of solving cancer.
What You’ll DoLead the direction and development of cutting edge research in statistical modeling and inference of biological problems (including cancer research, genomics, computational biology/bioinformatics, immunology, therapeutics, and more)Lead research projects that propose new methods and perspectives for modeling various biological changes resulting from diseases such as cancer, autoimmune disease, and infectionBuild and immediately apply core analyses in support of a long term research program in data driven biologyInterface with product teams to identify potential new problem areas in need of an ML solutionTake a mindful, transparent, and humane approach to your work
Must HavesPhD or equivalent research experience in a relevant, quantitative field such as Computer Science (AI or ML emphasis), Statistics, Mathematics, Engineering, or a related field3+ years of post-PhD or industry experience working on the technical subject matterExpertise, demonstrated by research publications or industry experience, in applied machine learning, data mining, pattern recognition, or AIStrong knowledge of mathematical fundamentals: statistics, probability theory, linear algebraPractical and theoretical understanding of fundamental models and algorithms in supervised and unsupervised learningProficiency in a general-purpose programming language: Python, Java, C, C++, etc.Familiarity working in a Linux server-based environmentExcellent ability to clearly communicate across disciplines and work collaboratively towards next steps in experimental iterationsA passion for innovation and demonstrated initiative in tackling new areas of researchExpert in one or more relevant machine learning model development, fitting and performance assessment techniquesAlmost always able to initiate and to independently conduct model architecture development and training as part of a broader project teamHighly effective and proactive at pressure testing results and building cross-checks into analysesHighly proficient at understanding what constitutes a well-structured ML model development experiment or studyProficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists
Nice To HavesDeep domain-specific experience in computational biology, genomics or a related fieldExperience in scientific parallel computing and/or in distributed computing environmentsExperience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systemsExperience in high-performance computing, including SIMD or GPU performance optimization
Benefits And Additional Information
The US target range of our base salary for new hires is $157,250 - $240,000. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors.
Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)Equal Employment Opportunity (EEO)Employee Polygraph Protection Act (EPPA)
#J-18808-Ljbffr