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Management","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8649360002","location":"Brisbane, California","job_type":"full-time","experience_level":"executive","work_arrangement":"hybrid","category":"Product Management","description":"<p>The Vice President of Product Management will own the development and execution of Freenome&#39;s product portfolio roadmap across three verticals: assay development, digital health, and the data platform.</p>\n<p>Working in close partnership with leaders across the company, this individual will translate clinical, scientific, customer, and business needs into a cohesive product strategy enabled by AI/agents that supports early cancer detection and patient access.</p>\n<p>In assay development, this role will define product requirements and roadmap priorities for Freenome&#39;s diagnostic tests and test versioning through assay enhancements and AI.</p>\n<p>Across digital health, this leader will define the product experiences and workflows for patients, providers, and internal operations, with a focus on usability, access, and adoption.</p>\n<p>For the data platform, this role will lead defining capabilities, analytics, and data products needed to connect biological, clinical, and customer insights to portfolio decisions and product performance.</p>\n<p>The role reports to the Chief Product Officer.</p>\n<p>As a member of the Senior Leadership Team, you will contribute to guiding and refining company-level strategy.</p>\n<p>Your commitment to patient care and access will significantly contribute to our growth and our mission to outpace cancer with early detection.</p>\n<p>This role will be a hybrid role based in our Brisbane, California headquarters.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Define, lead, develop, and implement the Freenome product roadmap with deep AI/agent integration and strategy in partnership with the Senior Leadership Team and Chief Product Officer that meets personalized care portfolio objectives.</li>\n<li>Lead a team of product managers and technical product managers, inspiring the team with a clear vision and direction to enable excellence in execution, innovation, and collaboration.</li>\n<li>Coach and develop a multi-disciplinary team, fostering a culture of continuous learning and growth.</li>\n<li>Develop and implement comprehensive product strategies, including market analysis, product development, and lifecycle management.</li>\n<li>Lead and influence through deep clinical and scientific market understanding to guide effective product portfolio and development priorities.</li>\n<li>Own the overall product portfolio roadmap through organizational alignment of competing dynamics in science, commercial, regulatory, market access, clinical pathways, and patient preferences.</li>\n<li>Own and lead decision making forums that prioritize and define R&amp;D and product pipelines aligned with company strategy and objectives.</li>\n<li>Drive product decisions and priorities using strategic frameworks and quantitative analyses.</li>\n<li>Architects and integrates AI automation, agentic workflows and enablement strategies for Freenome&#39;s product roadmap.</li>\n<li>Establish and maintain relationships with key customers and partners, gathering feedback and insights to inform product development and improvement.</li>\n<li>Monitor and analyze market trends, competitor activities, and customer feedback to identify opportunities for product innovation and enhancement.</li>\n<li>Define and track key performance indicators (KPIs) for product performance and customer satisfaction, using data to drive decision-making and continuous improvement.</li>\n<li>Represent the company at industry events, conferences, and in the media, serving as a thought leader in product management.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Business, Marketing, Engineering, or a related field; Master&#39;s degree preferred.</li>\n<li>Minimum of 15 years of progressive experience in product management; management consulting experience a plus.</li>\n<li>Minimum of 10 years leadership experience building and cultivating high-performing teams.</li>\n<li>Prior oncology, primary care, and consumer experience.</li>\n<li>Prior in vitro diagnostic product launch experience.</li>\n<li>Strong understanding of the diagnostics market, including regulatory and compliance landscape, competitive dynamics and customer and patient behavior.</li>\n<li>Proven track record of developing and launching successful products in a competitive market.</li>\n<li>Strong understanding of customer experience principles and methodologies, with experience leading customer-centric initiatives.</li>\n<li>Excellent leadership and team-building skills, with the ability to inspire and motivate cross-functional teams.</li>\n<li>Strong analytical and problem-solving skills, with a data-driven approach to decision-making.</li>\n<li>Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.</li>\n<li>Willingness to travel as needed to meet with customers, partners, and teams.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>The US target range of our base salary rate for new hires is $293,550 - $383,775.</li>\n<li>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.</li>\n</ul>","enriched_at":1785006301401},{"id":"job_5a71dbbd-2b9","title":"Senior Director, Real World Data (RWD)","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8649444002","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"IT","description":"<p>As the Senior Director of Real World Data (RWD), you will define, develop, and implement Freenome&#39;s RWD strategy, platform, and data pipeline.</p>\n<p>You will lead the RWD Informatics team in transforming diverse real-world datasets into regulatory-grade, research-ready assets.</p>\n<p>Your efforts will contribute to developing and commercializing early cancer detection products and digital health solutions.</p>\n<p>The role reports to the Chief Product Officer and is a remote position.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the operations and continuous improvement of the RWD curation pipeline.</li>\n<li>Evaluate and integrate agentic workflows and AI to ensure accuracy and quality.</li>\n<li>Design and implement processes, analytical methods, and AI tools to integrate various RWD sources.</li>\n<li>Prepare data for analysis, including data cleaning and mapping.</li>\n<li>Ensure &#39;regulatory-grade&#39; data quality where required.</li>\n<li>Develop a scalable unstructured data curation operation.</li>\n<li>Create a comprehensive, multi-year strategy for the acquisition, management, curation, and use of RWD.</li>\n<li>Architect, build, and maintain a robust RWD platform and pipeline.</li>\n<li>Lead clinical data analyses to support product strategy, development, and commercialization.</li>\n<li>Serve as the RWD expert, collaborating with cross-functional teams.</li>\n<li>Contribute to defining the strategic direction of Freenome&#39;s data initiatives.</li>\n<li>Support data acquisition and lead data product implementation efforts.</li>\n<li>Oversee the translation of raw RWD datasets into research-ready, regulatory-grade datasets.</li>\n<li>Foster a quality mindset through data quality checks, governance policies, and SOPs.</li>\n<li>Develop the team, building technical and leadership capabilities.</li>\n<li>Directly lead a team of clinical informaticists and data analysts.</li>\n<li>Manage the RWD department budget.</li>\n<li>Build and maintain a culture of collaboration and inclusivity.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Master&#39;s or Ph.D. in Biostatistics, Epidemiology, Health Informatics, Computer Science, or a related quantitative field.</li>\n<li>At least 12 years of progressive experience in clinical informatics.</li>\n<li>Experience with EHR, claims, and other structured and unstructured RWD, and molecular data.</li>\n<li>Experience applying RWD to device, therapeutic, and/or software product development.</li>\n<li>Experience with RWD across multiple disease areas, including oncology.</li>\n<li>At least 10 years of experience building and leading high-performing, multi-disciplinary teams.</li>\n<li>Demonstrated success operating within a matrixed organization.</li>\n<li>Excellent written and verbal communicator with strong stakeholder management capabilities and problem-solving skills.</li>\n<li>Experience leading data modeling, terminology normalization, data curation, and/or unstructured data abstraction via NLP.</li>\n<li>Deep knowledge of ontologies commonly used by health systems and payers.</li>\n<li>Experience with Python, R, and/or SQL.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience supporting real-world evidence FDA submissions or payer/guideline dossiers.</li>\n<li>Clinical background and/or degree in health informatics.</li>\n<li>Experience with cloud-based data storage and processing environments.</li>\n<li>Experience working directly with health systems or data vendors on data licensing and ingestion projects.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>The US target range of our base salary rate for new hires is $236,300 - $335,475.</li>\n<li>Eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits.</li>\n</ul>","enriched_at":1785006279915},{"id":"job_a85447d7-164","title":"Research Scientist I/II","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8637480002","location":"Brisbane, California","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>At Freenome, you will help develop assay technologies used to analyze patient samples and contribute to the mission of early detection and intervention in human disease.</p>\n<p>As a Research Scientist I/II, you will provide experience in next-generation-sequencing (NGS)-based analyses of DNA. You will contribute to the program&#39;s technical base by creating and optimizing new next-generation sequencing (NGS) assays and workflows for DNA/RNA, or to the program&#39;s scientific base by elevating the understanding of the biological context of these assay signals in cancer.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Independently design and execute experiments to help optimize the performance of Freenome&#39;s new or existing assays.</li>\n<li>Prototype new next-generation sequencing (NGS) methods, optimize the performance of existing assays, and execute biomarker discovery studies on clinical samples.</li>\n<li>Assist with project planning and timeline generation and work with cross-functional teams to coordinate tasks within and across projects.</li>\n<li>Take detailed notes, gather high-quality data, and openly communicate on lessons learned while performing experiments.</li>\n<li>Independently troubleshoot workflows and understand the rationale behind workflow optimization choices.</li>\n<li>Help with process improvements across the lab by thinking critically about the execution of all experiments.</li>\n<li>Perform advanced analysis and data visualization of results to answer experimental questions and guide next steps.</li>\n<li>Prepare and present experiment or project results at internal meetings, with clear articulation of goals, results, conclusions, and how results presented fit into broader project.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD in molecular biology, biochemistry, genetics, or a related field or Bachelor&#39;s or Master&#39;s with 8+ years experience post-Bachelor&#39;s in the life sciences (industry and/or academia).</li>\n<li>Hands-on experience with and expert-level knowledge in NGS-based workflows including sample preparation, library preparation, target capture, and sequencing.</li>\n<li>Biological understanding of human cell-free nucleic acids, single-cell analysis methods, immunology, and/or cancer biology.</li>\n<li>Ability to perform advanced data analysis and critically examine experimental results.</li>\n<li>Proven track record of designing and running successful experiments, preparing data for review, and giving effective scientific presentations.</li>\n<li>Clear and proactive communication skills and ability to collaborate effectively with team members in the same and adjacent disciplines.</li>\n<li>Flexible and highly motivated to learn new skills and comfortable adapting to changing priorities.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Ability to perform bioinformatic analysis in a scientific programming language (e.g., Python or R).</li>\n<li>Experience handling and preparing blood and/or tissue samples.</li>\n<li>Experience running high-throughput experimental designs and/or assays on an automated liquid handling platform.</li>\n<li>Experience using ELN (electronic lab notebook) and LIMS (lab information management system).</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>The US target range of our base salary rate for new hires is $132,050 - $167,475.</li>\n<li>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.</li>\n</ul>","enriched_at":1784916857449},{"id":"job_a368ee95-84f","title":"Research Associate I/II","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8637437002","location":"Brisbane, California","job_type":"full-time","experience_level":"entry","work_arrangement":"onsite","category":"Research","description":"<p>At Freenome, you will help develop assay technologies used to analyse patient samples and contribute to the mission of early detection and intervention in human disease.</p>\n<p>As a Research Associate I/II, you will provide experience in next-generation-sequencing (NGS)-based analyses of DNA. Starting with a prototype assay, you will contribute to developing and validating clinical-grade assays to measure complex, blood-based analytes.</p>\n<p>You will work closely with multiple teams including molecular research, computational science, automation engineering, and clinical operations to develop assays in a regulated, high-throughput environment. You will also identify ways to rapidly iterate and improve on existing methods to evaluate technologies that can enhance end-to-end test performance.</p>\n<p>The role reports to the Senior Manager and Staff Research Scientist. This role will be an onsite role.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Apply knowledge of molecular biology, nucleic-acid biochemistry, and next-generation sequencing to develop assays for DNA.</li>\n<li>Characterise automated assays by generating and analysing experimental data.</li>\n<li>Gather high-quality data, take detailed notes, and openly communicate on lessons learned while performing experiments.</li>\n<li>Collaborate with research teams and computational biologists, understand how data reflect underlying molecular biology, and contribute to analysing data and generating study conclusions.</li>\n<li>Present data in cross-functional teams.</li>\n<li>Participate in troubleshooting efforts and design experiments with some supervisor guidance.</li>\n<li>Help with process improvements across the lab by thinking critically about the execution of all experiments.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s degree with 1+ years of relevant industry experience or Master&#39;s degree in molecular biology, or a related field.</li>\n<li>Hands-on experience in NGS-based assay development including sample preparation, library preparation, target capture, and sequencing.</li>\n<li>Biological understanding of human cell-free nucleic acids, single-cell analysis methods, immunology, and/or cancer biology.</li>\n<li>High attention to detail and ability to record accurate and detailed observations, assess impact, and perform troubleshooting as required.</li>\n<li>Flexible and highly motivated to learn new skills and comfortable adapting to changing priorities.</li>\n<li>Ability to manually pipette with high confidence, accuracy, and precision.</li>\n<li>Clear and proactive communication skills and ability to collaborate effectively with team members in the same and adjacent disciplines.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience working in a regulated laboratory environment (CLIA, GLP/GCLP, IVD development).</li>\n<li>Experience with automated platforms in plate-based, low-volume formats and/or microfluidics and experience working with automated liquid handlers.</li>\n<li>Experience using ELN (electronic lab notebook) and LIMS (lab information management system).</li>\n<li>Familiarity with programming in a scientific programming language (e.g., Python or R).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>The US target range of our base hourly rate for new hires is $37.68 - $46.69.</li>\n<li>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.</li>\n</ul>","enriched_at":1784916838241},{"id":"job_ce374ba5-d77","title":"Research Associate I/II","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8637397002","location":"Brisbane, California","job_type":"full-time","experience_level":"entry","work_arrangement":"onsite","category":"Research","description":"<p>At Freenome, you will help develop assay technologies used to analyze patient samples and contribute to the mission of early detection and intervention in human disease.</p>\n<p>As a Research Associate I/II, you will provide experience in next-generation-sequencing (NGS)-based analyses of DNA. Starting with a prototype assay, you will contribute to developing and validating clinical-grade assays to measure complex, blood-based analytes.</p>\n<p>You will work closely with multiple teams including molecular research, computational science, automation engineering, and clinical operations to develop assays in a regulated, high-throughput environment. You will also identify ways to rapidly iterate and improve on existing methods to evaluate technologies that can enhance end-to-end test performance.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Apply knowledge of molecular biology, nucleic-acid biochemistry, and next-generation sequencing to develop assays for DNA.</li>\n<li>Characterize automated assays by generating and analyzing experimental data.</li>\n<li>Gather high-quality data, take detailed notes, and openly communicate on lessons learned while performing experiments.</li>\n<li>Collaborate with research teams and computational biologists, understand how data reflect underlying molecular biology, and contribute to analyzing data and generating study conclusions.</li>\n<li>Present data in cross-functional teams.</li>\n<li>Participate in troubleshooting efforts and design experiments with some supervisor guidance.</li>\n<li>Help with process improvements across the lab by thinking critically about the execution of all experiments.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree with 1+ years of relevant industry experience or Master&#39;s degree in molecular biology, or a related field.</li>\n<li>Hands-on experience in NGS-based assay development including sample preparation, library preparation, target capture, and sequencing.</li>\n<li>Biological understanding of human cell-free nucleic acids, single-cell analysis methods, immunology, and/or cancer biology.</li>\n<li>High attention to detail and ability to record accurate and detailed observations, assess impact, and perform troubleshooting as required.</li>\n<li>Flexible and highly motivated to learn new skills and comfortable adapting to changing priorities.</li>\n<li>Ability to manually pipette with high confidence, accuracy, and precision.</li>\n<li>Clear and proactive communication skills and ability to collaborate effectively with team members in the same and adjacent disciplines.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience working in a regulated laboratory environment (CLIA, GLP/GCLP, IVD development).</li>\n<li>Experience with automated platforms in plate-based, low-volume formats and/or microfluidics and experience working with automated liquid handlers.</li>\n<li>Experience using ELN (electronic lab notebook) and LIMS (lab information management system).</li>\n<li>Familiarity with programming in a scientific programming language (e.g., Python or R).</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>The US target range of our base hourly rate for new hires is $37.68 - $46.69.</li>\n<li>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.</li>\n</ul>","enriched_at":1784916819388},{"id":"job_3978c8e9-c1a","title":"Director, Evidence Generation and Publications","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8645988002","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Medical Affairs","description":"<p>Freenome is seeking a Director, Evidence Generation and Publications to lead integrated evidence-generation and publication strategies across the company&#39;s portfolio.</p>\n<p>This role will identify evidence gaps, develop research and analysis plans, and oversee the dissemination of clinical, real-world, economic, and operational data.</p>\n<p>The Director will partner across Scientific and Medical Affairs, Clinical Development, Biostatistics, Data Science, Regulatory Affairs, and Market Access.</p>\n<p>The ideal candidate is a strategic scientific leader with deep experience in evidence generation, publication planning, and cross-functional collaboration.</p>\n<p><strong>Evidence-generation strategy</strong></p>\n<ul>\n<li>Develop and execute integrated evidence plans aligned with clinical, regulatory, market-access, and commercial priorities.</li>\n<li>Identify evidence gaps and translate them into readily executable research questions, study concepts, and analysis plans.</li>\n<li>Lead post hoc analyses, real-world evidence and registry studies, and investigator-sponsored research.</li>\n<li>Guide evidence development throughout the product lifecycle (feasibility, validation, and post-marketing studies).</li>\n<li>Establish clear governance, prioritization, timelines, and measures of impact.</li>\n</ul>\n<p><strong>Publication and scientific-dissemination strategy</strong></p>\n<ul>\n<li>Develop and manage publication plans aligned with Freenome&#39;s scientific communication strategy.</li>\n<li>Oversee manuscripts, abstracts, posters, oral presentations, and other scientific materials.</li>\n<li>Ensure timely, accurate, and compliant dissemination of data.</li>\n<li>Partner with internal authors, external investigators, medical writers, statisticians, and third-party vendors.</li>\n<li>Track publication progress and scientific impact.</li>\n</ul>\n<p><strong>Scientific leadership and cross-functional collaboration</strong></p>\n<ul>\n<li>Serve as a strategic partner across Science, Scientific and Medical Affairs, Clinical, Regulatory, Market Access, Commercial, and Biometrics.</li>\n<li>Translate complex findings into clear and credible scientific narratives.</li>\n<li>Provide guidance on study design, endpoints, analyses, interpretation, and dissemination.</li>\n<li>Align internal teams on evidence priorities, scientific messaging, and publication timing.</li>\n<li>Present strategies and program updates to senior leadership.</li>\n</ul>\n<p><strong>External research and scientific engagement</strong></p>\n<ul>\n<li>Represent Freenome at scientific congresses, advisory boards, and research meetings.</li>\n<li>Build relationships with investigators, academic institutions, and healthcare systems.</li>\n<li>Evaluate and support investigator-sponsored research.</li>\n<li>Identify external partnerships that strengthen Freenome&#39;s evidence base.</li>\n</ul>\n<p><strong>Governance, quality, and compliance</strong></p>\n<ul>\n<li>Ensure adherence to applicable company policies, publication standards, and ethical guidelines, including GPP and ICMJE.</li>\n<li>Maintain high standards for scientific integrity, authorship, transparency, and data accuracy.</li>\n<li>Manage vendors, research partners, contracts, budgets, timelines, and program risks.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Advanced degree (MS or PhD) in medicine, science, public health, epidemiology, health economics, pharmacy, or a related field.</li>\n<li>10+ years of relevant diagnostics, medical device, or healthcare experience, ideally in oncology.</li>\n<li>Demonstrated experience leading evidence generation and publication strategies.</li>\n<li>Strong knowledge of clinical research, real-world evidence, epidemiology, biostatistics, and scientific data interpretation.</li>\n<li>Experience authoring and supervising manuscripts, abstracts, posters, and scientific presentations.</li>\n<li>Proven ability to lead complex cross-functional initiatives in a matrixed organization.</li>\n<li>Excellent written, verbal, presentation, and stakeholder-management skills.</li>\n<li>Strong commitment to scientific integrity and compliant collaboration.</li>\n</ul>\n<p><strong>Nice to haves</strong></p>\n<ul>\n<li>Experience in oncology, cancer screening, molecular diagnostics, genomics, multiomics, or liquid biopsy.</li>\n<li>Experience supporting diagnostic products, including screening tests, through their development, regulatory review, launch, and/or lifecycle management.</li>\n<li>Experience with real-world data, health economics, implementation science, or healthcare delivery research.</li>\n<li>Established relationships with investigators, academic institutions, or professional societies.</li>\n<li>Prior people-management experience.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>The US target range of our base salary rate for new hires is $214,625 - $305,550.</li>\n<li>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.</li>\n</ul>","enriched_at":1784916801494},{"id":"job_ed2b480f-06a","title":"Staff Computational Biologist","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8638413002","location":"Brisbane, California","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"IT","description":"<p>We are seeking a seasoned Staff Computational Biologist to join our Computational Science team. As an expert in computational biology, genomics, and modelling, you will apply your background in computational biology and statistics to drive the creation of new applications and enhance algorithms for identifying molecular signatures of cancer.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Serve as a key thought leader on the Computational Science team, leading the analysis and interpretation of cancer&#39;s molecular signatures and staying current with the field.</li>\n<li>Guide and contribute to the development of models that characterise biological changes associated with cancer.</li>\n<li>Execute rigorous computational analyses on data from best-in-class molecular assays, including whole genome sequencing, whole genome bisulfite sequencing, targeted sequencing, RNA sequencing, and protein quantitation.</li>\n<li>Design novel statistical models for the evaluation, characterisation, and modelling of these data types within the context of cancer biology and progression.</li>\n<li>Identify research hypotheses and potential areas for model improvement; plan, scope, and execute associated research projects with a skilled team of computational biologists.</li>\n<li>Solve complex analytical challenges inherent to the study of cell-free circulating nucleic acids and proteins.</li>\n<li>Partner closely with molecular biologists to collaboratively refine wet lab experiments, and with development scientists to turn research models into products.</li>\n<li>Support the professional development and career growth of talented, cross-functional computational biologists within your team.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD or equivalent experience in a relevant quantitative field (e.g., computational biology, cancer biology, statistics, bioinformatics).</li>\n<li>At least 8 years of post-PhD experience applying computational techniques for biological discovery and product development, preferably in cancer or diagnostics within an industry setting.</li>\n<li>Deep expertise in cancer and molecular biology, with a proven ability to leverage this knowledge for computational biology and diagnostics problems in cancer.</li>\n<li>Extensive experience analysing data and developing models for high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, proteomics.</li>\n<li>Proficiency in computational and programming skills, including extensive experience with Python statistical packages and modelling packages.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience training, evaluating, or applying biological sequence models.</li>\n<li>Experience developing or applying single-cell genomic or transcriptomic models.</li>\n<li>Experience modelling cell-free DNA (cfDNA) signals specifically for early disease detection and diagnostic applications.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>The US target range of our base salary rate for new hires is $188,275 - $270,375.</li>\n<li>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.</li>\n</ul>","enriched_at":1784826636234},{"id":"job_24fb621f-a7b","title":"Medical Science Liaison","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8638854002","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Medical Affairs","description":"<p>At Freenome, we are seeking a Medical Science Liaison (MSL) to help define and grow the company&#39;s presence. The MSL will interact with key clinical decision-makers that influence or manage the use of screening products.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Engage clinicians, including primary care physicians, oncologists, gastroenterologists, pathologists, and advanced practice providers, as well as managed care and payor customers.</li>\n<li>Identify and develop relationships with key opinion leaders and decision-makers in academic and community clinics, hospital systems, payor organisations, and other institutions.</li>\n<li>Collaborate with customers to understand their needs, knowledge gaps, challenges, and evidence requirements for clinical integration, reimbursement, and coverage.</li>\n<li>Develop strategic territory plans to address customer needs and educate them on the clinical attributes of Freenome products.</li>\n<li>Provide support for on-site oral presentations, data reviews, and interactive education events for key opinion leaders.</li>\n</ul>\n<p><strong>Thought Leadership and Industry Awareness:</strong></p>\n<ul>\n<li>Stay up-to-date with the latest scientific and clinical advancements, market trends, and regulatory guidelines relevant to Freenome products.</li>\n<li>Represent the company at industry conferences and meetings as a thought leader, fostering key relationships.</li>\n<li>Assist in organising forums and events for key opinion leaders to discuss clinical challenges and unmet needs.</li>\n</ul>\n<p><strong>Strategic Partnerships:</strong></p>\n<ul>\n<li>Collaborate with sales executives to identify and advise on strategic partnership opportunities.</li>\n<li>Promote effective, compliant collaboration with internal and external stakeholders.</li>\n<li>Ensure close alignment with commercial field-based teams to provide medical support.</li>\n</ul>\n<p><strong>Investigator-Initiated Studies:</strong></p>\n<ul>\n<li>Identify investigator-initiated study proposals that align with Freenome&#39;s medical affairs strategies.</li>\n<li>Present study proposals to cross-functional partners in clinical development and scientific medical affairs.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Advanced degree in medical or health sciences (e.g., MS, MD, DO, PhD, PharmD).</li>\n<li>5+ years of relevant industry experience in diagnostics, pharmaceuticals, or oncology.</li>\n<li>Experience as a medical science liaison in oncology or diagnostics.</li>\n<li>In-depth scientific and therapeutic knowledge.</li>\n<li>Demonstrated understanding of clinical trial management and regulatory guidance.</li>\n<li>Exceptional organisational and time management skills.</li>\n<li>Strong presentation and communication skills.</li>\n<li>Ability to work effectively in a cross-functional team.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Existing relationships with key opinion leaders and affiliated institutions.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary ($182,750 - $257,250).</li>\n<li>Equity, cash bonuses, and a full range of medical, financial, and other benefits.</li>\n</ul>","enriched_at":1784650486543},{"id":"job_da9fe1db-958","title":"Vice President, Revenue Cycle Management","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8628754002","location":"Remote","job_type":"full-time","experience_level":"executive","work_arrangement":"remote","category":"Finance","description":"<p>The Vice President, Revenue Cycle Management will build, lead and oversee all aspects of revenue cycle operations, ensuring compliance, efficiency, and strategic optimization of patient intake, financial counseling, billing, collections, reimbursement, and financial workflows.</p>\n<p>This executive will design and implement scalable, AI-enabled automated revenue cycle infrastructure in partnership with Sales, Market Access, and Commercial Operations to maximize revenue capture, minimize denials, and enhance patient financial experience.</p>\n<p>This is a remote role with up to 25% travel. This position reports to the Chief Financial Officer (CFO).</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Develop and implement Freenome&#39;s enterprise-wide revenue cycle strategy.</li>\n<li>Build, coach, and develop a high-performing team, fostering a culture of accountability, continuous improvement, and deep customer focus.</li>\n<li>Establish and oversee all processes related to coding, claims submission, reimbursement, and accounts receivable management.</li>\n<li>Oversee the efficiency and effectiveness of intake services including benefit verification, financial counseling, prior authorization, and customer call center operations.</li>\n<li>Partner with Market Access to maintain strong payer relationships, ensuring optimal reimbursement rates and contract compliance.</li>\n<li>Ensure adherence to federal, state, and payer-specific regulations, including CMS and value-based care initiatives.</li>\n<li>Leverage AI, ML, automation, and analytics to improve revenue cycle performance, reduce denials, intake time and overall cost to collect.</li>\n<li>Partner with Sales, Market Access and Commercial Operations leadership to ensure smooth revenue cycle integration with patient care workflows.</li>\n<li>Define, track, and analyze revenue cycle KPIs, drive continuous improvement, and present strategic insights and actionable recommendations to executive leadership.</li>\n<li>Oversee annual budget, ensuring effective allocation of resources to meet organization objectives.</li>\n<li>Build strong relationships with customers by proactively addressing financial challenges and aligning solutions with their operational and clinical needs.</li>\n<li>Serve as a trusted and key contributor to the Finance organization and Senior Leadership Team, actively participating in Quarterly Business Reviews (QBRs) and providing strategic insights on revenue cycle performance, reimbursement optimization, and payer trends.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>Bachelor&#39;s degree in finance, healthcare administration, or a related field (MBA or MHA preferred).</li>\n<li>12+ years of progressive experience in revenue cycle management, preferably in molecular diagnostics or precision diagnostics industry.</li>\n<li>6+ years leadership experience in revenue cycle management building and leading high-performance teams.</li>\n<li>4+ years of P&amp;L responsibility.</li>\n<li>Extensive expertise in payer contracting, reimbursement methodologies, and healthcare finance.</li>\n<li>Proven success in scaling revenue cycle operations for a growing healthcare organization.</li>\n<li>Passion for utilizing AI and automation to optimize systems and processes.</li>\n<li>Strong planning and cross-functional partnership skills with demonstrated ability to drive continuous improvement.</li>\n<li>Deep understanding of compliance (CMS, HIPAA, Stark Law, etc.) and regulatory considerations in infusion services.</li>\n</ul>\n<h4>Benefits</h4>\n<ul>\n<li>The US target range of our base salary for new hires is $261,725 - $337,838.</li>\n<li>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.</li>\n</ul>","enriched_at":1784293655421},{"id":"job_e4463086-804","title":"Staff Machine Learning Scientist","source_url":"https://job-boards.greenhouse.io/freenome/jobs/8627491002","location":"Brisbane, California","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"IT","description":"<p>We are seeking a Staff Machine Learning Scientist to join our Machine Learning Science team within the Computational Science department. As a Staff Machine Learning Scientist, you will play a key role in developing algorithms for early, blood-based detection tests for cancer. You will build on a foundation of machine learning and deep learning skills to develop models for identifying molecular signals from blood.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Independently pursue cutting-edge research in AI applied to biological problems, including cancer research, genomics, and computational biology.</li>\n<li>Build new models or fine-tune existing models to identify biological changes resulting from disease.</li>\n<li>Develop models that achieve high accuracy and generalise robustly to new data.</li>\n<li>Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model.</li>\n<li>Collaborate with ML Engineering partners to ensure that our computational infrastructure supports optimal model training and iteration.</li>\n<li>Work closely with cross-functional teams, including computational biologists, molecular biologists, and ML engineers.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD or equivalent research experience with an AI emphasis in a relevant, quantitative field.</li>\n<li>6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.</li>\n<li>Expertise in driving independent research in applied machine learning, deep learning, and complex data modeling.</li>\n<li>Practical and theoretical understanding of fundamental ML models, including generalised linear models, kernel machines, decision trees and forests, neural networks, boosting, and model aggregation.</li>\n<li>Practical and theoretical understanding of DL models, including large language models.</li>\n<li>Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.</li>\n<li>Proficient in a general-purpose programming language, such as Python, R, Java, C, or C++.</li>\n<li>Proficient in one or more ML frameworks, such as PyTorch, TensorFlow, or JAX.</li>\n<li>Experience with ML analysis and developer tools like TensorBoard, MLflow, or Weights &amp; Biases.</li>\n<li>Excellent ability to communicate across disciplines and work collaboratively.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Deep domain-specific experience in computational biology, genomics, proteomics, or a related field.</li>\n<li>Experience in building DL models for genomic data.</li>\n<li>Experience in NGS data analysis and bioinformatic pipelines.</li>\n<li>Experience with containerised cloud computing environments.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>The US target range of our base salary for new hires is $199,675 - $283,500.</li>\n<li>You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits.</li>\n</ul>","enriched_at":1784293608611}],"category_normalised":[{"category":"engineering","count":7},{"category":"sales","count":3},{"category":"operations","count":3},{"category":"it","count":3},{"category":"finance","count":2},{"category":"marketing","count":1},{"category":"hr","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":11},{"week_start":"2026-05-11","count":1},{"week_start":"2026-06-22","count":1},{"week_start":"2026-07-06","count":3},{"week_start":"2026-07-13","count":3},{"week_start":"2026-07-20","count":8}],"trend":"accelerating","wow_pct":167},"momentum":{"recent_14d":8,"prior_14d":5,"growth_pct":60,"classification":"accelerating"},"salary_vs_industry":{"company_median":235456.25,"industry_median":null,"percentile":null,"sample_size":10,"by_region":[{"region":"Remote","company_median":260087.5,"industry_median":null,"sample":5},{"region":"Australia/NZ","company_median":229325,"industry_median":null,"sample":5}],"transparency_pct":56,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":27,"industry_total":27,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.242,"skill_weighted_score":0.258,"top_exposed_titles":[{"title":"Research Associate I/II","count":2,"score":0.245}],"top_exposed_skills":[{"skill":"Machine Learning","count":3,"score":0.42},{"skill":"Python","count":7,"score":0.326},{"skill":"ELN","count":3,"score":0.317},{"skill":"LIMS","count":3,"score":0.317},{"skill":"Sample Preparation","count":3,"score":0.245},{"skill":"Molecular Biology","count":6,"score":0.213},{"skill":"Medical Sales Experience","count":3,"score":0.173},{"skill":"Complex Diagnostics Solutions","count":3,"score":0.173},{"skill":"CRM Tools","count":3,"score":0.173},{"skill":"Data-driven Account Planning","count":3,"score":0.173}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"Australia/NZ","count":17,"share_pct":63},{"region":"Remote","count":10,"share_pct":37}],"emerging":[{"region":"Australia/NZ","recent_30d":9,"prior_30d":1,"growth_pct":800},{"region":"Remote","recent_30d":5,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":4,"exec_prior_90d_avg":0.3,"exec_growth_pct":1233,"notable_exec_hires":[{"title":"Vice President, Product Management","location":"Brisbane, California","posted_at":"2026-07-25"},{"title":"Senior Director, Real World Data (RWD)","location":"Remote","posted_at":"2026-07-25"},{"title":"Director, Evidence Generation and Publications","location":"Remote","posted_at":"2026-07-24"},{"title":"Vice President, Revenue Cycle Management","location":"Remote","posted_at":"2026-07-17"}]},"posting_dynamics":{"median_days_open":46,"industry_median_days_open":null,"long_open_count":11,"closure_rate_pct":20}}}}