Why join Freenome?

Freenome is a high-growth biotech company on a mission since 2014 to create tools that empower everyone to prevent, detect, and treat their disease. 

To achieve this mission, Freenome is developing next-generation blood tests to detect cancer in its earliest, most treatable stages using our multiomics platform and machine learning techniques. Our first blood test will detect early-stage colorectal cancer and advanced adenomas.

To fight the war on cancer, Freenome has raised more than $1.1B from leading investors including a16z, GV (formerly Google Ventures), T. Rowe Price, BainCapital, Perceptive Advisors, RA Capital Management, Roche, Kaiser Permanente Ventures, and the American Cancer Society’s BrightEdge Ventures. 

Are you ready for the fight? A ‘Freenomer’ is a mission-driven employee who is fueled by the opportunity to make a positive impact on patients' lives, who thrive in a culture of respect and cross collaboration, and whose work makes a significant impact on the company and their career. Freenomers are determined, patient-centric, and outcomes-driven. We build teams around divergent expertise, allowing us to solve problems and ascertain opportunities in unique ways. We are dedicated to advancing healthcare, one breakthrough at a time.

About this opportunity:

Do you like to think deeply about data? Do you intuitively seek to understand the sources of bias, and noise? Do you learn your customer’s application well enough to be  sure your work answers the right questions? Do you have expertise developing complex ML and/or deep learning models? Would you like to join a close-knit team of scientists pushing the limits of machine learning methods and changing the paradigm of healthcare from disease treatment to prevention? If that describes you, we want you on our team!

The Senior Machine Learning Scientist Healthcare Data will be responsible for developing ML and AI approaches to predictive and prescriptive modeling of disease risks, interventions and other outcomes, from  large sets of healthcare data. The successful candidate will need to absorb the relevant clinical background, and to tease apart multiple layers of reporting and selection bias, among other confounders. This position requires a strong grasp of a wide variety of techniques ranging from data mining, study design, and other statistical methods to machine learning. This work is an important component of an integrated early cancer detection strategy that includes Freenome’s blood-based multi-omics molecular assays and will be applied practically to improve clinical care.

In this role, you will work closely with a small and highly collaborative team of machine learning experts, computational biologists, and data scientists, as well as a broader team of clinical and product experts seeking to change the nature of cancer by catching it early — when curative intervention is most achievable.

This role reports to the Director, Risk Modeling. 

What you’ll do:

  • Be self-directed and innovative contributor: research the literature, apply and test state-of-the-art ML and AI methods, resolve problems, adapt, compare, iterate and collaborate.
  • Demonstrate strong command of relevant analytic, ML, AI and biostatistical methods and the ability to find the best approaches for different situations.
  • Pursue research on methods and applications while prioritizing the transition of insights to production use
  • Partner closely with the risk modeling scientists, biostatisticians, clinical, and business specialists.
  • Present novel scientific results at conferences and in peer-reviewed scientific journals
  • Provide scientific and technical guidance to team members and collaborators while empowering and inspiring them to do their best work
  • Take a mindful, transparent, and humane approach to your work.

Must haves:

  • Ph.D. and at least four years of academic or industry experience 
  • A record of designing and validating creative solutions to complex quantitative problems as demonstrated by research publications or industry achievements
  • Experience working with large, noisy, and confounded datasets 
  • Ability to effectively prioritize multiple competing development projects.
  • Proficiency in implementing statistical/ML models in a general-purpose programming language.
  • Excellent ability to communicate to technical peers and across disciplines, and to work collaboratively on interdisciplinary teams.
  • A transparent, self-reflective approach that is comfortable with ambiguity, seeks to improve on or correct flaws in your own work, and is open to others’ suggestions
  • A passion for innovation, demonstrated initiative in tackling new areas of research, and an ability to carry great ideas forward to practical and impactful implementation
  • Experience with biological or healthcare data is preferred
  • Facility reading and interpreting scientific and medical literature is preferred
  • Experience with statistical study design is preferred
  • Familiarity working in a Linux environment and with cloud computing infrastructure is preferred
  • Experience in scientific parallel computing and/or in distributed computing environments like Kubernetes is preferred.

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 dependent 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, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ https://careers.freenome.com/ for additional company information.  

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.  


Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Freenome’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Form CC-305

OMB Control Number 1250-0005

Expires 05/31/2023

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson’s disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.