About this opportunity:

To support Freenome’s rapid growth, we’re looking for a proven and collaborative Senior Manager, Accounting to join our team! This is a highly visible role that will support key financial reporting and compliance functions, including SEC reporting (10-K/10-Q filings and earnings releases), the SOX compliance, and revenue recognition activities. The ideal candidate is known as a solutions-oriented cross-functional partner and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

In this role, you will report directly to the Director, SEC Reporting and SOX Compliance and will closely collaborate with the accounting team. This role will be a Hybrid role based out of our Brisbane, California headquarters.

What you’ll do:

• Play a key role in accounting and SEC reporting functions, ensuring compliance and accurate presentation of financial statements and disclosures in accordance with U.S. GAAP and SEC rules.
• Support the preparation of monthly, quarterly and annual internal financial statements as well as S-1, 10-Q, 10-K, and any other SEC required filings including footnote preparation.
• Analyze peer company filings and industry reports to assess trends in financial disclosures.
• Support the preparation of the quarterly earnings release and related documents.
• Support revenue recognition and reporting including DSO analysis:
  • Revenue by product
  • Revenue by payors
  • Profit by product
  • Profit by Payors
• Collaborate with the accounting team in the development of processes and procedures that support the implementation of SOX 404 and ensure reporting requirements related to the Sarbanes-Oxley Act are met.
• Assist in the evaluation and continual improvement of accounting procedures, processes, and systems to ensure standardized close processes and efficient operations.
• Support internal and external audits and regulatory examinations.
• Support and execute on ad-hoc requests as assigned as necessary.

Must haves:

• Bachelor’s Degree in Accounting/Finance/Business.
• Minimum of 6+ years of relevant accounting experience in a fast-paced, high- growth biotech, diagnostic, medical device environment.
• Public accounting experience a plus.
• Must have Xifin RCM experience.
• Strong working knowledge of SAP.
• Strong accounting background with a good knowledge of U.S. GAAP, SOX 404, and SEC reporting standards.
• Demonstrated ability to think strategically while maintaining a command of the details.
• Ability to draft financial statements presentation and footnote disclosures as part of filings with the SEC (10-Q and 10-K).
• Demonstrated ability to independently coordinate multiple priorities in a dynamic environment.
• Strong interpersonal and written communication skills enabling effective communications with all levels of management.
• Proactive, organized, and takes ownership of projects and deadlines.
• Meticulous and superior attention to details.
• Strong work ethic including sound judgement, outstanding interpersonal skills and ability to work independently.
• Continuous learning mindset with a passion for improving policies, procedures for compliance, effectiveness, and efficiency.

Nice to haves:

• MBA or Big-4 a plus.
• Industry experience in diagnostics.
• Strong working knowledge of Netsuite.
• Ability to prioritize and organize work effectively, with exceptional cross-functional collaboration and communication skills.

Benefits and additional information:

The US target range of our base salary for new hires is $161,500 - $205,538. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

The Supplier Quality Specialist III/IV plays an integral role in supporting quality activities related to Supplier Management in accordance with FDA, ISO, and other IVD regulations. This individual also supports the company’s quality system activities that comply with the FDA’s Quality System Regulation 21 CFR § 820 and ISO 13485 as well as CLIA, CAP, and applicable state requirements. In this role you will facilitate the supplier compliance program (external audits, drive improvement in supplier performance, supplier development, supplier selection and qualification). In addition, this role will support the quality assurance activities in partner development as needed. 

What you’ll do:

• Maintain the approved supplier list and supplier audit schedule
• Drive compliance with applicable quality management system requirements, engaging in supplier corrective actions as needed
• Conduct external and internal quality audits to identify potential areas of risks and drive continuous improvement
  
• Lead establishing quality agreements with critical suppliers, and quality of supplier records
  
• Actively participate in supplier quality related communication and feedback.
  
• Lead the processing of supplier change notifications 
  
• Engage directly with Freenome suppliers to drive quality and process improvements in order to continuously improve the quality of product and services received
  
• Maintain supplier non-conformances to closure and effectiveness review, working with impacted departments
  
• Maintain organized records that demonstrate compliance to all company processes, regulations, and the company’s QMS
  
• Support routine Quality processes such as document control, employee training, investigating non-conformances, quality metrics, etc.

Must haves:

• Minimum of a Bachelor's degree in a life science field (genetics or molecular biology preferred) or equivalent experience
  
• 5+ years of experience in manufacturing operations, clinical laboratory operations, quality, or supplier quality
  
• ISO 13485 certified Lead Auditor or Certified Quality Auditor (CQA)
  
• Effective problem solving skills and ability to identify, analyze and solve problems with minimal direction and escalate concerns to management
  
• Proficiency in Word, Excel, PowerPoint or Google Workspace and experience with document management systems and document sharing systems
  
• Ability to prioritize and multitask while maintaining a positive and collaborative attitude
  
• Experience with both internal audits or external audits
  
• Effective verbal and written communication skills and ability to share and receive information from all levels of the organization throughout various departments
  
• Excellent teamwork skills and the ability to interface effectively with a wide range of stakeholders
  
• Flexibility to successfully balance and prioritize multiple ongoing projects/tasks in a fast-paced, deadline driven environment
  
• Drive for results and continual improvement
  
• Travel 10 - 30% domestically and potentially internationally, potentially more as needed
  

Nice to haves:

• Certified Quality Engineer, CQE (ASQ)
• Experience in quality system methodologies including but not limited to CAPA, Lean, 5 Why's, Pareto Analysis, Six Sigma
• Experience with statistical process control (SPC) techniques to evaluate and improve process performance
• Experience with process validations
  

Additional information:

Contractors may be hired through a third-party provider and will be considered contingent workers. We invite you to check out our career page @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Director, Technical Product Management to help grow the Freenome Product Management team. The ideal candidate is a seasoned leader who bridges the gap between complex molecular biology and scalable software products in a regulated environment. This person is responsible for the technical roadmaps, feature prioritization, software requirements, and specification definition related to Lab Information Management Systems (LIMS), laboratory automation, and software managing sample processing-to-result generation. You are passionate about building seamless, high-throughput clinical workflows that ensure data integrity and regulatory compliance, and you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. 

The role reports to the Director, Product Management. This role will be a Hybrid (based in our Brisbane, California headquarters) or Remote role. 

What you’ll do:

• Define and execute the multi-year technical roadmap for IVD/LDT software platforms, ensuring alignment with clinical needs and regulatory requirements.
• Lead feature prioritization and software requirements definition of LIMS, lab automation, and software managing the sample processing-to-result generation to optimize high-throughput sample processing and data integrity.
• Direct the integration of complex diagnostic hardware with cloud-based or on-premise processing software, focusing on seamless end-to-end workflows.
• Ensure all software products comply with global regulatory standards, including FDA, CLIA/CAP, ISO 13485, and HIPAA/GDPR data privacy requirements.
• Collaborate with R&D, Molecular Biology, Clinical Lab, Lab Automation, and Engineering teams to translate complex assay protocols into automated, scalable software requirements.
• Ensure compliance to Software Development Life Cycle (SDLC) for diagnostic products, from initial concept to commercial launch for deliverables owned by Technical Product Management.
• Manage cross-functional dependencies between wet-lab operations, bioinformatics pipelines, and software engineering teams to ensure timely product delivery.
• Establish and monitor key performance indicators (KPIs) for software reliability, processing speed, and diagnostic accuracy in a clinical laboratory environment. 

Must haves:

• 8+ years in Technical Product Management, with at least 4 years specifically in IVD, Medical Devices, or Clinical SaaS.
• Proven experience with LIMS/LIS and laboratory automation workflows.
• Deep familiarity with FDA software guidelines and CLIA regulations.
• BS/MS in Computer Science, Bioengineering, Molecular Biology, or a related field.
• Demonstrated experience managing and scaling technical product teams in a regulated environment.
  

Nice to haves:

• MS or PhD in a technical or scientific field.
• Experience with Next-Generation Sequencing (NGS) data pipelines.
• Hands-on experience with cloud infrastructure (AWS/Azure/GCP) in a GxP environment.

Benefits and additional information:

The US target range of our base salary for new hires is $220,400 - $281,400. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

About this opportunity:

At Freenome, we are seeking a Senior Network Engineer with experience managing enterprise and data center network infrastructure. This person will be part of the team tasked with delivering the network infrastructure for Freenome’s HQ campus. Additionally, this person will be responsible to ensure Freenome’s network infrastructure is scalable and following industry best practices. The ideal candidate will have hands-on experience with enterprise network technologies, automation tools, and a background in managing secure network solutions.

The role reports to the Director, IT. This role will be a Hybrid role.

What you’ll do:

• Lead the architecture design and implementation of the network infrastructure; both on-prem and in Cloud.
• Lead Zero Trust implementation and maintenance.
• Work closely with engineering and laboratory teams to gather requirements, analyze, and propose infrastructure solutions.
• Contribute to the delivery of a global standard network infrastructure.
• Develop and maintain network documentation, including diagrams, policies, procedures, and best practices.
• Troubleshoot and remediate any events impacting the operations and availability of the global network infrastructure.

Must haves:

• A minimum of 5 years Network Engineering experience.
• A minimum of 3 years Firewall security experience.
• A minimum of 3 years experience with configuring and managing Palo Alto Network firewalls.
• Juniper Networks JNCIP-ENT certification or equivalent experience.
• Advanced understanding of network hardware, software, protocols, and technologies.
• Experience with enterprise wireless network solutions and deployments.
• Hands-on experience with SSL and IPsec VPNs.
• Experience with network monitoring, management, and troubleshooting tools.
• Ability to work individually, as well as in a dynamic team environment.
• Strong communication and problem-solving skills.
• Ability to prioritize and manage multiple tasks and projects simultaneously.
• Strong documentation skills.

Nice to haves:

• Experience working in Clinical Diagnostics or Pharmaceutical Manufacturing.
• Expert experience with Juniper Networks products and solutions.
• Expert experience with Palo Alto Network Firewalls, Prisma, and Panorama.
• Experience with efficient iP SOLIDserver DDI.
• Engineering networks in GCP or other cloud providers.

Benefits and additional information:

The US target range of our base salary for new hires is $156,750 - $200,025. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines, and expertise in creating reliable, scalable artificial intelligence/machine learning (AI/ML) systems in a cloud environment. 

The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimizing hardware utilization for efficient training, and performing model optimizations. As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission of reducing cancer mortality via accessible early detection.

The role reports to the Director of Machine Learning Science. This can be a hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Implement and refine DL pipelines on distributed computing platforms enhancing the speed and efficiency of DL operations including model training, data handling, model management, and inference.
• Collaborate closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines you create are perfectly aligned with scientific goals and operational needs.
• Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability.
• Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn and adapt new tools and frameworks, if necessary.
• Develop and maintain robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation pipelines.
• Act as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must haves:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerization technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimizing workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines. 
  

Nice to haves:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325 You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

About this opportunity:

We are looking for an experienced Senior Manager, IT Infrastructure to lead the team through the architecture, design, and implementation of infrastructure technologies that will be critical in providing the technology platform Freenome needs to scale its business. This role will involve new technology implementations and managing the support of current infrastructure including working with supporting vendors. 

The Senior Manager, IT infrastructure will have a deep and broad knowledge of networking, virtualization, server, storage, and operating system technologies, both on-premise as well as in the GCP cloud. This position will work closely with the Information Security team to ensure a compliant and secure infrastructure environment. 

The role reports to the Director, IT. This role will be a Hybrid role.

What you’ll do:

• Leads team of network engineers, system administrators, lab system administrators to support Freenome infrastructure (On prem, Labs and GCP).
• Problem Solving, collaboration, solid comprehension of cloud, virtualization, storage, networking, software and hardware, strategic planning, leadership, mentorship, creating and giving presentations.
• Identify, create, and apply process improvement to increase product and service quality to achieve business objectives.
• Contributes to defining the department's long-term strategy and goals.
• Collaborate with the Help desk and Business Application team to define and implement the infrastructure needed for day to day operations.
• Ensures data security and disaster recovery protocols are in place. Ensuring compliance with regulatory requirements.
• Develops and creates standardized processes and procedures to guide documentation and knowledge base development for IT infrastructure operations support.
• Develops and supports standards for enterprise-wide use of resources. Recommends enterprise level strategies and goals for infrastructure hardware and software procurement and deployment. Writes detailed scopes of work for staff projects.
• Plan, communicate, and deploy changes to IT infrastructure per standard change management process and scheduled maintenance windows. Coordinate IT change and maintenance activities with business stakeholders.
• Maintains IT infrastructure and network diagrams, asset/equipment inventory and IT change/incident logs.
• Supports IT audits and conduct IT systems/network vulnerability scanning, patching and hardening.
• Manage external vendor relationships. 

Must haves:

• 7+ years’ experience in a technology leadership/management role.
• Strong management and technical skills, most notably architect-level skills in virtualization, systems administration, scalable upgrade and migration strategies, networking, and storage. Possess the technical expertise with virtualization and network infrastructure technologies such as VMware vSphere, LAN and WAN.
• 5+ years of experience managing or maintaining enterprise IT infrastructure (Network, IaaS, PaaS, and/or Security).
• Experience in a continuous improvement environment with a track record of achieving significant continual development.
• Strong project management, problem solving, organizational, relationship, communication, and negotiation skills (oral and written) are required.
• 7+ years of experience with Windows 10/11, Windows server, DAS/NAS/SAN, Google workspace, and GCP.
• Strong knowledge of security access controls, policies, groups, rights, and permissions.
• Familiarity with IT GRC (BCDR, ITSM/ITIL, SOX, ISO, PCI, HIPAA, GMP, GDPR, FDA 21 CFR Part 11).
• Ability to document and explain complex technical solutions to management and other non-technical staff.
• Strong customer service and time management skills, with the ability to work effectively in a dynamic, and fast-paced environment.
• Flexibility to work weekends and after hours for IT projects/maintenance (on occasion).

Nice to haves:

• Bachelor's degree in MIS/CIS, Computer Science or equivalent professional experience.
• Industry certifications such as ITIL, CCNA, MCITP, MCSA, MCSE, VCP, Cloud+, Security+ preferred.
• Experience with GMP systems and IT systems change management process.
• Experience with Juniper, Meraki, Netapp, VmWare, and Google workspace.

Benefits and additional information:

The US target range of our base salary for new hires is $180,975 - $232,575. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Sr. Director, Finance to build and shape our Finance team. The ideal candidate will be a strategic and hands-on leader with experience building scalable public company finance organizations. This is a high-impact leadership role responsible for the Financial Planning and Analysis (FP&A), business partnering, and finance operations functions. This role offers a unique opportunity to architect our financial engine. You won’t just be reporting numbers, you will be building the systems, teams and insights that guide our executive team. You will be instrumental in enabling Freenome to bring our early detection tests to patients - changing the entire landscape of cancer.

The role reports to the Chief Financial Officer (CFO). This role will be a Hybrid role based in our Brisbane, California headquarters. 

What you’ll do:

• Accountable for Financial Planning and Analysis, business partnering, and finance operations maintaining clear financial controls and compliance.
• Develop the financial frameworks for our commercial launches, including revenue forecasting, COGS analysis, and go-to-market spend optimization.
• Lead the (AOP) annual operating plan process, rolling quarterly forecasts, and long-range strategic planning models, scaled by technology.
• Build and maintain a detailed financial model to forecast future performance, report budget to actuals.
• Influence key decisions by delivering high value financial analysis that highlight root causes of variance, trends, and identify actionable opportunities to invest, reduce costs, and mitigate risks.
• Create actionable KPI dashboards specific to a commercial-stage diagnostic company, such as test volume, ASP, and COGS per test.
• Increase the speed and efficiency of our FP&A efforts driving the timely delivery, quality, and transparency of information to support business decisions.
• Proactively partner with the senior leadership team and cross-functional stakeholders to align financial objectives with our business strategy and drive key decision-making.
• Identify and manage financial risks monitoring market conditions, developing risk mitigation strategies, and implementing relevant programs.
• Proactive collaboration with leaders within the finance organization to align systems, processes, and initiatives to enable seamless support.
• Drive the implementation, buildout, and continuous improvement of key financial systems, such as ERP, planning and budgeting systems and business intelligence tools.
• Champion the application of AI, machine learning, and automation to increase efficiency and enhance predictive accuracy in our models.
• Lead financial diligence for potential partnerships, acquisitions, or strategic initiatives.
• Participate in audit committee activities as needed.
  

Must haves:

• Bachelor’s degree in finance, accounting, or a related field.
• 12+ years of progressive finance experience in corporate finance, financial modeling, analysis, forecasting, and business partnering.
• 6+ years of experience building, leading, and developing high-performing finance teams.
• Prior leadership as head of the FP&A function at a publicly traded company.
• Strategic mindset with proven ability to align financial strategies with business goals.
• Results-driven and metrics-oriented approach, with a focus on driving growth and proactively mitigating financial risks.
• Sought as a trusted advisor to the business leveraging superior business partnering skills and business acumen.
• Proven ability to effectively manage and deliver multiple, large-scale projects while maintaining business and financial service excellence.
• Consistently monitors the business and markets, adapting where needed to ensure business success.
• Passion for getting in the trenches, leading by example, and influencing process excellence across the organization.
• Exceptional executive communication skills, with a proven ability to distill complex data into clear, concise, and impactful insights to facilitate high-velocity, informed decision making.
  

Nice to haves:

• MBA or CFA preferred.
• Biotech experience preferred.
  

Benefits and additional information:

The US target range of our base salary for new hires is $229,900 - $294,788. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, and the ability to thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• 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.

Must haves:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
• Expertise, demonstrated by research publications or industry achievements, 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, neural networks.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
• Experience in NGS data analysis and bioinformatic pipelines.
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.

Benefits and additional information:

The US target range of our base salary/hourly rate for new hires is $173,775 - $246,750. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• 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.
  

Must haves:

• PhD or equivalent research experience with an AI emphasis and 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, neural networks, boosting and model aggregation.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
  
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
  
• Experience in NGS data analysis and bioinformatic pipelines.
  
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
  
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.
  

Benefits and additional information:

The US target range of our base salary for new hires is $199,675.00 - $283,500.00. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

Freenome is seeking a highly analytical and systems-savvy Senior People Systems and Data Analyst to elevate our People data capabilities and drive insight-led decision-making. This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organizational planning strategies. This individual will transform People data into actionable insights through advanced analytics, scalable dashboards, and strong data storytelling. While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.

The role reports to the Director, People Operations. This role will be a Hybrid role.  

What you’ll do:

• Develop, analyze, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement.
• Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers).
• Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions.
• Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations.
• Design, build, and maintain scalable and automated dashboards.
• Establish consistent KPI definitions and reporting standards.
• Improve data visualization practices to ensure clarity, usability, and impact.
• Replace manual reporting processes with automated, real-time reporting solutions.
• Ensure high levels of data accuracy, integrity, and trust.
• Serve as primary People data and HRIS reporting expert.
• Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows.
• Manage data governance standards to ensure compliance and data privacy best practices.
• Identify process improvements that enhance efficiency, data structure and accessibility.
• Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems.
• Champion system education to drive employee and manager self-service adoption and data and systems utilization.
• Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.
  

Must haves:

• Bachelor’s degree in Statistics, Data Science, Business Analytics, HR, Economics, or related field.
• 5–7 years of experience in People Analytics, Workforce Analytics, HRIS Analytics, or related analytical roles.
• Prior experience modifying, improving and/or implementing People systems (Greenhouse, Paylocity a bonus).
• Advanced proficiency in data visualization tools (Tableau, Power BI, Looker, or similar).
• Strong experience building executive dashboards from the ground up.
• Knowledge of data, statistical, and predictive analysis.
• Advanced Excel/Google Sheets skills.
• Experience working with large, complex datasets.
• Demonstrated ability to translate data into clear business insights and recommendations.
• Strong understanding of core People processes (recruiting, compensation, performance, engagement, workforce planning).
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving skills.
• Passion for driving continuous improvement simplifying workflows, implementing automation, and driving self-service.
• Demonstrated interest in leveraging AI to enhance systems and analytics.
  

Nice to haves:

• Experience in a high-growth biotech or startup environment, with exposure to IPO preparation, public company reporting requirements, or SOX-compliant processes.
• Familiarity with Greenhouse, Paylocity, or other HRIS/ATS platforms.
• Exposure to predictive analytics or basic modeling techniques.
• SHRM-CP or SHRM-SCP certification.
  

Benefits and additional information:

The US target range of our base salary for new hires is $120,275 - $170,100. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

We are seeking a FP&A Manager to help grow the Freenome Finance team. The FP&A Manager will support planning for key business processes and requires strong financial reporting, forecasting, planning and modeling skills and excellent communication and collaboration skills and business judgment. The ideal candidate is both technically sound and can be a proactive internal consultant, beyond their analytical prowess through their understanding of secondary data, industry knowledge, and track record of innovative and impactful decision support. You will be a strategic architect of our financial future, moving beyond static reporting to provide the actionable insights that drive our commercial scale.

The role reports to the Chief Financial Officer (CFO) and is a critical and high visibility position interacting heavily with the business.

You are passionate about Finance and desire to have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

What you’ll do:

Strategic Business Partnering:

• Serve as the dedicated financial advisor to department heads (R&D, Commercial, Operations), translating complex financial data into a narrative that drives decision-making.
• Identify financial opportunities by deeply understanding the drivers of our diagnostic platform and product offerings.

Proactive Budget Management:

• Drive corporate planning processes through rigorous oversight of departmental budgets and forecasts, ensuring alignment with Freenome’s strategic priorities.
• Empower budget owners with self-service tools while providing the “guardrails” necessary for a public company environment.

Actionable Analysis and Reporting:

• Deliver effective monthly and quarterly reporting that drives accountability, scaled by leveraging technology.
• Establish, track, and report Key Performance Indicators (KPIs) specific to a commercial-stage diagnostic company, such as test volume, ASP, and COGS per test.
• Ensure resources are aligned with strategic and operating priorities and clear financial controls are maintained.
• Identify key business issues that impact short-term and long-range market forecasts; clearly and proactively surface these issues.
• Influence key decisions by delivering high value financial analysis that highlight root causes of variance, trends, and identify actionable opportunities to invest, reduce costs, and mitigate risks.

Systems Innovation and AI Integration:

• Build and refine the forecasting tools, short-term and long-term forecasts models.
• Support the implementation, buildout and continuous improvement of key financial systems, such as ERP, planning and budgeting systems and business Intelligence tools.
• Apply AI and machine learning tools to automate routine reporting and enhance predictive accuracy in our forecasting models.
• Collaborate with the broader organization to drive process and systematic improvements across the Company.

Must haves:

• Bachelor’s degree in Accounting/Finance/Business.
• Minimum of 8 years of progressive Accounting and Finance experience with at least 6 in FP&A and/or business partnering in a fast-paced, high-growth biotech, diagnostic, medical device environment.
• Willingness to roll up your sleeves, handle large amounts of data and build complex financial models.
• Excellent organizational and analytical skills with the ability to creatively solve problems with a data-driven approach.
• Ability to articulate complex financial concepts in understandable terms to non-finance professionals.
• Demonstrated ability to think strategically while maintaining a command of the details.
• Demonstrated ability to develop client group business acumen and provide actionable insights and recommendations to improve KPIs.
• Mastery of Excel and ERP systems (e.g. Netsuite) and proven experience implementing or optimizing FP&A software and a demonstrated interest in AI-driven analytics.
• Passion for automation and continuous improvement to reduce human error and dependency on spreadsheets.
• Proven experience building financial management processes, management reporting, and establishing the financial discipline required in a scaling organization.
• Well-versed in the requirements of a public company and adherence to all applicable laws, rules, and regulations.

Nice to haves:

• MBA/CPA or CFA a plus.
• Experience as a FP&A professional for single-site labs (FDA/CLIA diagnostics business) and/or reagent manufacturing environments.
• Knowledge of clinical diagnostics development, operations, portfolio management and commercial GTM planning.

Benefits and additional information:

The US target range of our base salary for new hires is $146,775 - $183,750. You will also be eligible to receive 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, 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 @ freenome.com/job-openings/ 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.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID