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This role combines people leadership with direct technical ownership and is suited for someone who can move comfortably between architecture, implementation details, production operations, and team development.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Manage and develop a team of data engineers, supporting talent planning, hiring, coaching, performance management, career development, and team effectiveness.</li>\n<li>Remain close enough to the technical work to guide architecture, design reviews, code quality, troubleshooting, and key implementation decisions.</li>\n<li>Collaborate with business and scientific stakeholders to translate requirements into platform capabilities, delivery plans, and measurable outcomes.</li>\n<li>Help establish and maintain data platform standards, governance practices, architectural guidelines, and operational processes.</li>\n<li>Make pragmatic architectural decisions using AWS services such as S3, Glue, Athena, Lambda, IAM, and CloudWatch, and related technologies such as Snowflake.</li>\n<li>Support continuous improvement of engineering practices for CI/CD, automated testing, observability, lineage, documentation, security, privacy, and code quality.</li>\n<li>Partner closely with cross-functional teams, including Analytics, Data Science, Product, Clinical, Laboratory, Software Engineering, Security, and IT, to support shared goals and initiatives.</li>\n<li>Ensure data-platform security, regulatory compliance, privacy, and quality-management requirements are addressed through appropriate architecture, controls, tooling, documentation, and cross-functional collaboration.</li>\n<li>Drive platform delivery and operational excellence, helping ensure solutions meet business needs, performance expectations, and production reliability requirements.</li>\n<li>Balance delivery priorities, operational support, platform enhancements, technical debt reduction, vendor relationships, and resource considerations.</li>\n<li>Evaluate emerging technologies and recommend adoption based on measurable improvements in maintainability, scalability, reliability, performance, security, and cost.</li>\n<li>Communicate technical decisions, alternatives, risks, recommendations, and trade-offs clearly to stakeholders and leaders across multiple functions, and build shared understanding in complex or sensitive situations.</li>\n<li>Model collaborative, inclusive leadership by engaging the right stakeholders early, seeking diverse perspectives, committing to decisions, pursuing better solutions, and maintaining high standards for quality and responsible use of company resources.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor’s degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience.</li>\n<li>8+ years of relevant experience in data engineering, software engineering, data platforms, or related fields.</li>\n<li>5+ years of people-management experience, including responsibility for team objectives, work planning, performance management, development, and staffing decisions.</li>\n<li>Demonstrated experience leading a data engineering department or multiple related disciplines and delivering outcomes that affect broader functional or business priorities.</li>\n<li>Demonstrated experience designing, building, and operating production data pipelines and data platforms, including data lake or lakehouse architectures.</li>\n<li>Strong working knowledge of AWS services such as S3, Glue, Athena, Lambda, IAM, and CloudWatch, or comparable technologies.</li>\n<li>Hands-on proficiency with SQL and Python, with the ability to review code, evaluate technical designs, troubleshoot production problems, and guide implementation decisions.</li>\n<li>Experience with ETL/ELT frameworks, orchestration tools, distributed data processing, analytical data modeling, and reusable data products or shared platform capabilities.</li>\n<li>Practical experience implementing data quality, automated testing, observability, lineage, security, privacy, and regulatory controls.</li>\n<li>Experience establishing operational objectives, policies, procedures, work plans, schedules, and resource priorities for a technical team.</li>\n<li>Experience managing technical debt and operational risk while continuing to deliver business and product priorities.</li>\n<li>Proven ability to collaborate across engineering, scientific, product, clinical, business, Security, and IT teams, including the ability to influence and build alignment in complex situations.</li>\n<li>Strong communication skills, including the ability to explain technical decisions, alternatives, risks, and trade-offs clearly to technical and nontechnical audiences.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience in biotechnology, life sciences, diagnostics, healthcare, or another regulated data environment.</li>\n<li>Experience working in environments subject to medical device regulations and quality-management requirements.</li>\n<li>Experience working with scientific, clinical, laboratory, LIMS, or bioinformatics data.</li>\n<li>Familiarity with ML/AI data workflows and supporting MLOps platforms.</li>\n<li>Experience optimizing AWS data-platform cost, reliability, security, and performance.</li>\n<li>Experience developing reusable data products, shared platform capabilities, or domain-oriented data architectures.</li>\n<li>Knowledge of metadata management, data catalogs, and lineage platforms.</li>\n<li>Experience managing budget inputs, vendors, or resource planning for a data engineering or platform team.</li>\n<li>Experience helping a team scale its processes without introducing unnecessary bureaucracy.</li>\n</ul>\n<p>We know that great candidates may not meet every qualification listed. If this role excites you and you believe your experience can help us advance our mission, we encourage you to apply.</p>\n<h3>For candidates based in our San Diego office, the range is $199,000- $220,000. For candidates based in our South San Francisco office, the range is $202,000- $258,000. For candidates that are Remote: $192,825 - $220,000 ## #LI-Hybrid The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.</h3>","enriched_at":1792862675171},{"id":"job_dc8e8c14-d11","title":"Senior Medical Science Liaison (MSL) - Nordics","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5180561007","location":"Denmark; Norway","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Healthcare","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.</p>\n<p>The Senior Medical Science Liaison (MSL) serves as Veracyte&#39;s primary scientific field representative across the Nordic countries, building trusted scientific partnerships with healthcare professionals and supporting the appropriate adoption of Veracyte&#39;s precision oncology portfolio, including Prosigna.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>Scientific Exchange</strong></p>\n<ul>\n<li>Build and maintain trusted scientific relationships with breast cancer Key Opinion Leaders (KOLs) across the Nordic region.</li>\n<li>Deliver balanced, evidence-based scientific exchange with healthcare professionals.</li>\n<li>Respond to unsolicited scientific requests in accordance with company policies and applicable regulations.</li>\n<li>Present clinical evidence during scientific meetings, educational events and hospital presentations.</li>\n</ul>\n<p><strong>KOL Engagement</strong></p>\n<ul>\n<li>Identify, develop and maintain relationships with current and emerging breast cancer experts.</li>\n<li>Support scientific Advisory Boards, educational meetings and faculty development initiatives.</li>\n<li>Facilitate scientific collaborations that support Veracyte&#39;s Medical Affairs objectives.</li>\n<li>Represent Veracyte at national and international oncology congresses.</li>\n</ul>\n<p><strong>Medical Insights</strong></p>\n<ul>\n<li>Collect, analyze and communicate actionable medical insights from healthcare professionals.</li>\n<li>Identify unmet medical needs and emerging scientific trends.</li>\n<li>Share field insights with Medical Affairs and cross-functional partners to support medical strategy.</li>\n</ul>\n<p><strong>Clinical Research Support</strong></p>\n<ul>\n<li>Identify opportunities for Investigator-Initiated Studies (IIS) and collaborative research.</li>\n<li>Support Clinical Operations in study site identification and scientific engagement.</li>\n<li>Assist investigators in understanding diagnostic reports and assay performance.</li>\n<li>Support evidence generation activities when appropriate.</li>\n</ul>\n<p><strong>Internal Collaboration</strong></p>\n<ul>\n<li>Collaborate effectively with Commercial, Marketing, Market Access, Clinical Operations and Medical Affairs colleagues.</li>\n<li>Deliver scientific training to internal teams.</li>\n<li>Support congress planning and scientific education initiatives.</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<p><strong>Required Experience</strong></p>\n<ul>\n<li>Advanced scientific degree (MD, PharmD, PhD, MSc, NP or equivalent).</li>\n<li>Minimum of 5 years of Medical Affairs experience within oncology, molecular diagnostics, biotechnology or pharmaceuticals.</li>\n<li>Previous experience as a Medical Science Liaison is required.</li>\n<li>Strong scientific knowledge of breast cancer, precision oncology and genomic diagnostics.</li>\n<li>Experience supporting molecular diagnostics or genomic assays is highly desirable.</li>\n<li>Established relationships with breast cancer Key Opinion Leaders across the Nordic countries are highly preferred.</li>\n<li>Existing collaborations with Academic Institutions, Cooperative Groups and Scientific Societies would be considered a strong advantage.</li>\n<li>Strong understanding of breast cancer clinical pathways and biomarker-driven treatment decisions.</li>\n</ul>\n<p><strong>Core Competencies</strong></p>\n<ul>\n<li>Excellent scientific communication skills.</li>\n<li>Strong networking and relationship-building abilities.</li>\n<li>High scientific credibility.</li>\n<li>Outstanding presentation skills.</li>\n<li>Ability to work independently within a matrix organization.</li>\n<li>Strong analytical and problem-solving skills.</li>\n<li>Excellent territory planning and organizational abilities.</li>\n<li>Customer-focused with a collaborative mindset.</li>\n<li>Self-motivated with a strong sense of ownership.</li>\n<li>Proficiency with Microsoft Office applications.</li>\n<li>Willingness to travel up to 70–75%.</li>\n</ul>","enriched_at":1792862648642},{"id":"job_efdea14f-1f4","title":"Sr. Bioinformatics Scientist","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5217851007","location":"Israel","job_type":null,"experience_level":"senior","work_arrangement":"hybrid","category":"Data Science","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.</p>\n<p>Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose-driven environment.</p>\n<p>This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.</p>\n<h3>The Position:</h3>\n<p>We are looking for a Senior Bioinformatics Scientist, experienced in WGS data analysis and with a strong interest in genomics algorithm development.</p>\n<p>The successful candidate will provide support for analysis of large and complex data sets related to cancer and will bring specific domain knowledge and experience to empower research and development of our tools and products.</p>\n<p>In collaboration with R&amp;D and production team members, the Senior Scientist candidate will engineer high-quality tools for genomic sequence data analysis to develop new products or improve existing offerings, all while adhering to Veracyte’s state-of-the-art software engineering methodologies.</p>\n<p>The successful candidate will be an essential team player in the effort for significant optimization of our growing genomic data analytic platform.</p>\n<p>This entails working cross-functionally with data scientists, clinical analysts, software engineers, and business analysts to ensure our genomic data becomes a powerful asset and value growth driver.</p>\n<p>Specifically, the candidate will participate in the design and prototyping of processing pipelines and algorithms for data analysis to improve clinical performance and optimize critical systems.</p>\n<p>The ideal candidate possesses the ability to see the big picture, understand user needs and requirements, and identify the opportunities for applying solutions from bioinformatics, algorithms, and data science domains.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Analyze next-generation sequencing data ranging from single research experiments to very large data sets, reaching correct conclusions based on rigorous mathematical analysis and principles of statistics and probability.</li>\n<li>Research and develop novel deep &amp; machine learning architectures, statistical algorithms, and mathematical models for application in genomics within a Python-based infrastructure.</li>\n<li>Lead the design and development of data specification standards and data science business processes.</li>\n<li>Collaborate effectively with R&amp;D, production, and clinical teams to build pipelines for high-throughput sequencing data.</li>\n<li>Ensure internal processes and metrics are aligned to create the highest product quality and competitive advantage.</li>\n<li>Produce clear, concise, and correct technical documentation, including research reports and algorithm specifications.</li>\n<li>Generate ideas to improve existing technology and drive future technology.</li>\n</ul>\n<h4>Who You Are:</h4>\n<h5>Experience and Qualifications</h5>\n<ul>\n<li>Master’s degree / PhD or Master’s degree with 3 years of relevant experience in engineering, computer science, bioinformatics, statistics, or similar, with a strong foundation in probability theory and/or statistics.</li>\n<li>Knowledge of bioinformatics tools, clinical diagnostics workflows, or genetic processes.</li>\n<li>Expertise in scientific methods, processes, algorithms, and systems for knowledge and insights extraction from data.</li>\n<li>Extensive knowledge in the domains of machine learning, signal processing, and related quantitative techniques and theory.</li>\n<li>Proficient in Python, bash, and scripting fundamentals, including file parsing and data visualization.</li>\n<li>Experience with cloud computing technologies (AWS preferred).</li>\n<li>Experience with data management in a regulated environment - a plus.</li>\n</ul>\n<h5>Key Attributes</h5>\n<ul>\n<li>Independent self-management and organizational skills in setting and executing rapidly changing priorities.</li>\n<li>Entrepreneurial, driven to create and be an impactful team player.</li>\n<li>Strong attention to detail, demonstrating accuracy and consistency in tracking and reporting data.</li>\n<li>Eagerness to acquire new skills in areas such as databases, statistics, and genetics.</li>\n<li>Excellent verbal and written communication.</li>\n<li>Ability to evaluate and apply new technologies in a short time.</li>\n</ul>\n<h3>What We Can Offer You</h3>\n<p>Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented, and aspire to help us build a great company.</p>\n<p>We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions.</p>\n<p>The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc.</p>\n<p>Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.</p>\n<p>Pay range $1-$2 USD</p>","enriched_at":1792862618084},{"id":"job_29354c11-4ce","title":"Senior Clinical Reimbursement Specialist","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5225509007","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Healthcare","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.</p>\n<p>We are seeking an experienced Senior Clinical Reimbursement Specialist to serve as a clinical subject matter expert on our Clinical Reimbursement Operations team. In this role, you will independently manage complex pre- and post-service appeals, mentor junior team members, and drive process improvements that measurably improve overturn rates and revenue capture across the revenue cycle.</p>\n<p><strong>Primary Duties and Responsibilities</strong></p>\n<ul>\n<li>Independently manage complex pre- and post-service appeals across Level 1, Level 2, and external review pathways, including the review, development, and submission of clinically robust appeal documentation.</li>\n<li>Serve as a clinical subject matter expert on payer medical policies, translating complex policy criteria into patient-specific clinical justification and guiding appeal strategy for high-dollar, ambiguous, or precedent-setting cases.</li>\n<li>Own end-to-end resolution of assigned cases, including follow-up, coordination with ordering providers, and appropriate escalation to leadership when warranted.</li>\n<li>Partner with ordering physicians and practice staff to coordinate peer-to-peer reviews, gather supplemental clinical documentation, secure Authorized Representative forms and signatures, and support collaborative initiatives that strengthen appeal outcomes.</li>\n<li>Mentor and provide informal guidance to Clinical Reimbursement Specialists, including case review, appeal letter quality feedback, and coaching on payer policy interpretation.</li>\n<li>Lead analysis of denial patterns and appeal outcomes to identify root causes, and drive upstream feedback to reduce future denials.</li>\n<li>Contribute directly to the development and refinement of appeal letter templates, clinical evidence packets, payer reference guides, and other scalable operational tools.</li>\n<li>Monitor payer behavior and policy changes across all lines of business; flag material changes and partner with leadership on remediations, coverage reviews, and payer escalations.</li>\n<li>Support the maintenance and continuous improvement of SOPs, ensuring workflows remain consistent, compliant, and scalable as the team grows.</li>\n<li>Serve as point of contact for complex patient- or provider-facing inquiries, ensuring accurate, empathetic, and compliant communication.</li>\n<li>Support digital transformation initiatives, including automation and AI/agentic workflow pilots that improve appeal readiness scoring and clinical documentation review.</li>\n<li>Represent the Clinical Reimbursement team in cross-functional initiatives and special projects that support evolving reimbursement and operational priorities.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Active clinical licensure (e.g., RN, NP).</li>\n<li>Associate or Bachelor&#39;s degree in nursing.</li>\n<li>3–5 years of experience in healthcare reimbursement, revenue cycle operations, or payer-facing roles.</li>\n<li>2+ years of experience in prior authorization, denial management, or appeals - including pre-service and post-service workflows.</li>\n<li>Advanced understanding of payer medical policies, prior authorization, claims adjudication, denials, and appeals - including Level 1, Level 2, and external review processes.</li>\n<li>Demonstrated ability to independently manage complex, ambiguous, or high-dollar cases without routine escalation.</li>\n<li>Proven ability to translate complex payer medical policy criteria into patient-specific clinical justification.</li>\n<li>Strong critical thinking and analytical skills, including the ability to interpret incomplete denial information and drive appropriate next steps without direction.</li>\n<li>Experience contributing to the development of SOPs, appeal letter templates, workflow tools, or other operational assets within a reimbursement environment.</li>\n<li>Demonstrated ability to mentor or provide informal leadership to peers, including case review, coaching, or SME support.</li>\n<li>Excellent communication and collaboration skills, with the ability to influence cross-functional discussions and convey clinical/reimbursement concepts to both clinical and non-clinical stakeholders.</li>\n<li>Demonstrates ownership of cases through resolution, including follow-up, coordination, and appropriate escalation.</li>\n<li>Comfortable working in an evolving environment with shifting priorities, ambiguity, and the need to build systems where none exist.</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Prior experience in oncology diagnostics, laboratory services, or complex/specialty reimbursement environments.</li>\n<li>Experience leading or contributing to process improvement, workflow redesign, or operational scaling initiatives within the revenue cycle.</li>\n<li>Familiarity with digital transformation initiatives in healthcare operations (automation, AI/agentic workflows, workflow tools, system integration).</li>\n<li>Relevant certification (CPC, CRCR, CHFP, Lean/Six Sigma) or Master&#39;s degree (MSN, MHA, MBA).</li>\n</ul>\n<p><strong>What We Can Offer You</strong></p>\n<p>Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions.</p>","enriched_at":1792862606552},{"id":"job_339e75e0-df3","title":"Sr. Bioinformatics Scientist","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5017198007","location":"South San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Data Science","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose-driven environment.</p>\n<h3>The Position:</h3>\n<p>We are seeking an experienced and motivated Bioinformatics Scientist to join our Bioinformatics and Data Science Team focused on developing regulated diagnostics products. The ideal candidate will bring deep expertise in NGS technologies with a strong understanding of regulatory environments including CAP/CLIA and IVD product development. The successful candidate will play a crucial role in designing, developing, and optimizing our next generation of genomic assays.</p>\n<h4>Key Responsibilities:</h4>\n<ul>\n<li>Lead bioinformatics design, development, and validation efforts in assay development for new and on-market products.</li>\n<li>Develop scalable, production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments.</li>\n<li>Facilitate successful production pipeline deployment by working closely with infrastructure and engineering teams.</li>\n<li>Ensure compliance with regulatory standards (CAP/CLIA, FDA, IVDR) throughout the bioinformatics development lifecycle.</li>\n<li>Apply leading-edge knowledge in bioinformatics, genomics, and assay technologies to contribute to development of company&#39;s concepts and principles.</li>\n<li>Drive development study design and all analysis for assay development effort in collaboration with cross-functional teams.</li>\n<li>Develop statistical and machine learning techniques to comprehensively evaluate assay performance and create optimization strategies.</li>\n<li>Communicate analysis results, methodologies, and scientific findings to internal teams, external collaborators, and stakeholders.</li>\n<li>Contribute to regulatory submissions and audits by providing technical documentation and validation reports.</li>\n<li>Provide scientific guidance and mentorship to junior bioinformatics team members.</li>\n</ul>\n<h4>Who You Are:</h4>\n<h5>Required Experience:</h5>\n<ul>\n<li>PhD or MS in bioinformatics, computational biology, or an adjacent data science field.</li>\n<li>Proven experience - A minimum of 6-7 years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.</li>\n<li>Thorough understanding of NGS technologies and various methods for library preparation.</li>\n<li>Proficiency in quantitative transcriptomics from NGS or expression microarray data in human disease/biology.</li>\n<li>Proficiency in machine learning, development of novel bioinformatics methodologies, and algorithms development.</li>\n<li>Proven experience developing and deploying bioinformatics workflows in AWS.</li>\n<li>Strong proficiency in Python.</li>\n<li>Close collaboration with Quality and Regulatory Affairs team on assay and analysis pipeline development and verification.</li>\n<li>Demonstrated record of technical and scientific leadership, ownership, and independent work.</li>\n</ul>\n<h5>Relevant Experience (preferred but not required):</h5>\n<ul>\n<li>Track record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation as a tightly integrated team.</li>\n<li>Proficiency in genomics, sequence analysis, and secondary analysis.</li>\n<li>Strong understanding of germline and somatic mutation processes leading to complex variation and genome-wide biomarkers.</li>\n<li>Working knowledge of R.</li>\n<li>Experience with relational and non-relational database technologies is a plus.</li>\n<li>Excellent communicator about complex technical topics in an interdisciplinary setting.</li>\n<li>Excellent technical problem-solving and troubleshooting skills.</li>\n</ul>\n<h3>What We Can Offer You</h3>\n<p>Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented, and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce.</p>\n<p>For candidates based in our San Diego office, the salary range is $160,000 - $180,000. For candidates based in our South San Francisco office, the salary range is $175,000 - $189,000. For candidates working remote (US), the salary range is $150,000 - $168,000.</p>","enriched_at":1792862563963},{"id":"job_b6649601-5dc","title":"Sr. Automation Engineer","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5216340007","location":"Israel","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.</p>\n<p>As a Senior Software Test Automation Engineer, you will help ensure the quality and reliability of software that supports cancer diagnostics and monitoring. This hands-on engineering role focuses on building scalable test automation frameworks, reusable tools, and automated test solutions that enable teams to deliver high-quality Software as a Medical Device (SaMD) product.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop, and maintain scalable test automation frameworks, libraries, tools, and reusable components using modern software engineering practices.</li>\n<li>Develop and maintain automated tests for REST APIs, backend services, microservices, integrations, databases, business workflows, and end-to-end user scenarios.</li>\n<li>Define and implement automation approaches spanning component, contract, integration, system, regression, and end-to-end testing.</li>\n<li>Integrate automated testing and quality gates into CI/CD pipelines to provide rapid and actionable feedback.</li>\n<li>Improve the reliability, maintainability, scalability, and diagnostic value of automated test suites.</li>\n<li>Monitor and continuously improve test health by addressing flaky tests, unstable environments, coverage gaps, and execution inefficiencies.</li>\n<li>Develop tooling and utilities for test data management, service virtualization, mocks, simulators, fixtures, and environment management.</li>\n<li>Investigate automation and product issues across applications, APIs, databases, cloud services, containerized environments, integrations, and deployment pipelines.</li>\n<li>Partner closely with software engineers to improve application testability and establish effective automated test strategies.</li>\n<li>Create reusable frameworks, documentation, examples, and best practices that enable product teams to develop and maintain their own automated tests.</li>\n<li>Participate in design and code reviews with a focus on quality, reliability, maintainability, and testability.</li>\n<li>Establish and promote standards for automation architecture, reporting, diagnostics, and framework design.</li>\n<li>Evaluate and implement emerging technologies, including AI-assisted capabilities, to enhance test automation efficiency and coverage.</li>\n<li>Collaborate with Software Verification and Quality teams to support regulated verification activities and generate appropriate test evidence when required.</li>\n<li>Perform exploratory or manual testing when it provides greater value or supports product risk assessment.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.</li>\n<li>6 – 7 years of experience in software quality engineering, software development, or test automation engineering.</li>\n<li>5+ years of hands-on experience developing automation solutions using C#, Java, Python, TypeScript, or comparable programming languages.</li>\n<li>Demonstrated experience designing, building, and maintaining test automation frameworks and reusable testing tools.</li>\n<li>Proven experience testing enterprise-scale web applications, REST APIs, backend services, microservices, integrations, and cloud-native systems.</li>\n<li>Strong software development skills, including object-oriented design, modular architectures, debugging, code reviews, version control, and automated quality practices.</li>\n<li>Experience automating APIs, databases, distributed systems, and backend services.</li>\n<li>Experience implementing automated testing within CI/CD platforms.</li>\n<li>Hands-on experience testing cloud-native applications in containerized and cloud environments.</li>\n<li>Strong troubleshooting, analytical, and problem-solving skills.</li>\n<li>Excellent written communication, collaboration, and technical documentation abilities.</li>\n<li>Experience working effectively in Agile software development environments.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Strong experience developing automation frameworks within the .NET ecosystem.</li>\n<li>Experience with Docker, Kubernetes, and modern cloud-based testing environments.</li>\n<li>Experience with contract testing, service virtualization, automated test data generation, mocks, and simulators.</li>\n<li>Experience automating non-functional testing, including performance, resilience, reliability, and security testing.</li>\n<li>Experience leveraging AI-assisted technologies for automation development, maintenance, or failure investigation.</li>\n<li>Experience developing or testing Software as a Medical Device (SaMD) or other regulated software products.</li>\n<li>Familiarity with IEC 62304, ISO 13485, ISO 14971, and software validation practices.</li>\n<li>Experience producing automated test results suitable for regulated verification activities.</li>\n<li>Experience in healthcare, diagnostics, genomics, laboratory systems, or other regulated industries.</li>\n<li>Experience mentoring engineers and influencing engineering practices across teams.</li>\n</ul>\n<p>We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions.</p>","enriched_at":1792862516750},{"id":"job_96cf4d5a-e6f","title":"Scientist I","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5207342007","location":"South San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.</p>\n<p>We are seeking a highly motivated Scientist I to support the development of next-generation MRD assays from concept through clinical laboratory implementation. This laboratory-based individual contributor will execute and analyze experimental studies supporting assay development, workflow optimization, automation, and validation readiness.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Support the development, optimization, verification, and transfer of NGS-based MRD assays under the guidance of senior technical team members from early feasibility through clinical laboratory implementation.</li>\n<li>Execute feasibility, characterization, optimization, and pre-validation studies to support assay and workflow development.</li>\n<li>Procure, qualify, prepare, and characterize clinical and contrived samples for assay development and validation studies.</li>\n<li>Contribute to experimental design, study planning, execution, analysis, and interpretation in collaboration with senior scientists and technical leads.</li>\n<li>Generate high-quality laboratory data and maintain accurate documentation in accordance with design control and quality system requirements.</li>\n<li>Contribute to SOPs, protocols, reports, and other development documentation supporting product development activities.</li>\n<li>Support development and optimization of automated high-throughput laboratory workflows.</li>\n<li>Participate in assay troubleshooting, root-cause investigations, and implementation of technical improvements.</li>\n<li>Collaborate with cross-functional teams including Bioinformatics, Data Science, Operations, Clinical Laboratory, Automation, Quality, Regulatory, and Software/LIMS to advance product development objectives.</li>\n<li>Support technology transfer, assay implementation, and validation activities within the clinical laboratory environment.</li>\n</ul>\n<h3>Who You Are:</h3>\n<ul>\n<li>Strong molecular biologist with hands-on experience in NGS workflows and common NGS quality control methods, such as Tapestation/fragment analysis, fluorescence-based quantification, and qPCR.</li>\n<li>Laboratory scientist who enjoys bench experimentation and can independently execute laboratory activities with a high degree of rigor and attention to detail.</li>\n<li>Skilled in applying molecular biology, biochemistry, and genetics principles to experimental design, troubleshooting, and assay optimization.</li>\n<li>Effective problem solver with demonstrated ability to troubleshoot and optimize molecular biology workflows.</li>\n<li>Data-driven scientist capable of analyzing experimental results and communicating findings clearly and effectively.</li>\n<li>Organized and detail-oriented contributor who can manage multiple projects and priorities in a dynamic environment.</li>\n<li>Strong collaborator who works effectively across multidisciplinary teams and functions.</li>\n<li>Clear and effective communicator with strong written and verbal communication skills.</li>\n<li>Flexible and open-minded contributor who adapts well to changing priorities and business needs.</li>\n<li>Passionate about developing diagnostic products that improve outcomes for cancer patients.</li>\n</ul>\n<h3>Qualifications:</h3>\n<ul>\n<li>Ph.D. in Molecular Biology, Genetics, Biochemistry, Cancer Biology, or a related field.</li>\n<li>Minimum of 3 years of relevant industry and/or postdoctoral experience in molecular diagnostics, biotechnology, genomics, or a related field.</li>\n<li>Hands-on experience with NGS-based molecular biology techniques including library preparation and supporting analytical methods.</li>\n<li>Strong understanding of molecular genomic technologies, including DNA- and/or RNA-based assays.</li>\n<li>Experience with experimental design, execution, data analysis, and interpretation.</li>\n<li>Familiarity with statistical analysis and data visualization tools such as JMP, R, Python, or equivalent.</li>\n<li>Experience working with clinical sample types, including blood, plasma, tissue, or FFPE specimens, is preferred.</li>\n<li>Exposure to regulated product development environments and quality systems (CAP/CLIA, NYSDOH, design control) is desirable.</li>\n<li>Experience with oncology, liquid biopsy, ctDNA, or MRD technologies is a plus.</li>\n</ul>\n<h3>What We Can Offer You</h3>\n<p>Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions.</p>","enriched_at":1792862484519},{"id":"job_8e5b4357-ba6","title":"Software Development Manager","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5189537007","location":"San Diego, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Veracyte is seeking an experienced Software Development Manager to lead the engineering team responsible for its AI-powered Billing Automation platform.</p>\n<p>The Software Development Manager will be accountable for the team&#39;s people leadership, technical direction, execution, and operational performance. This leader will establish effective engineering practices, develop a high-performing team, and ensure the predictable delivery of secure, reliable, and maintainable software.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead, mentor, and grow a high-performing software engineering team responsible for Veracyte&#39;s AI-Powered Billing Automation platform.</li>\n<li>Define and execute the engineering roadmap in partnership with Product Management, Revenue Cycle Management, Finance, Laboratory Operations, Data &amp; AI, and Architecture.</li>\n<li>Deliver secure, scalable, and highly available cloud-native applications, APIs, and AI-enabled services supporting laboratory billing, reimbursement, claims processing, and revenue cycle workflows.</li>\n<li>Define the technical strategy for applying AI to billing automation, balancing innovation with reliability, security, regulatory compliance, and measurable business outcomes.</li>\n<li>Partner with AI engineers, data scientists, and business stakeholders to identify and prioritize opportunities for intelligent automation across the revenue cycle.</li>\n<li>Lead the development of AI-powered capabilities such as intelligent document processing, claims validation, exception handling, payer rule interpretation, coding assistance, workflow orchestration, and operational copilots.</li>\n<li>Design and implement integrations with enterprise platforms including ERP, CRM, laboratory information systems (LIS), electronic medical record (EMR/EHR) systems, clearinghouses, payer systems, and AI platforms.</li>\n<li>Establish engineering best practices for integrating generative AI and machine learning into production systems, including evaluation, monitoring, governance, observability, and human-in-the-loop workflows.</li>\n<li>Drive engineering excellence through modern software development practices including CI/CD, Infrastructure as Code (IaC), automated testing, code quality, security, and platform observability.</li>\n<li>Ensure applications meet performance, reliability, scalability, and compliance requirements while protecting sensitive healthcare and financial data.</li>\n<li>Collaborate with CloudOps and Platform Engineering to optimize AWS infrastructure for availability, performance, security, and cost efficiency.</li>\n<li>Establish engineering and operational KPIs that measure software quality, AI solution effectiveness, delivery predictability, and business impact.</li>\n<li>Foster a culture of ownership, experimentation, innovation, continuous learning, and responsible AI adoption.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>\n<li>6+ years of software engineering experience, including 3+ years managing software development teams.</li>\n<li>Demonstrated success hiring, developing, and retaining high-performing engineers while managing performance, career growth, and team effectiveness.</li>\n<li>Proven experience leading the design, delivery, and operation of enterprise software, including cloud-native applications, APIs, distributed systems, and systems integrations.</li>\n<li>Strong knowledge of modern engineering practices, including architecture and design, automated testing, CI/CD, Infrastructure as Code, security, observability, and production support.</li>\n<li>Experience managing the complete software development lifecycle while balancing feature delivery, software quality, technical debt, reliability, and long-term architectural needs.</li>\n<li>Demonstrated ability to improve engineering execution, delivery predictability, and operational performance using iterative development practices and meaningful metrics.</li>\n<li>Excellent communication, stakeholder-management, organizational, and problem-solving skills, with the ability to collaborate across technical and business teams.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience delivering software for healthcare operations, revenue-cycle management, laboratory billing, claims processing, reimbursement, coding, or payer integrations.</li>\n<li>Experience delivering AI-enabled products, intelligent automation, document processing, operational copilots, or workflow-orchestration solutions in production.</li>\n<li>Familiarity with generative AI and machine-learning technologies, including LLMs, retrieval-augmented generation, vector search, AI agents, model evaluation, and human-in-the-loop workflows.</li>\n<li>Experience integrating AI services or frameworks such as Amazon Bedrock, OpenAI, Anthropic, Azure OpenAI, LangGraph, LangChain, Semantic Kernel, or similar technologies.</li>\n<li>Familiarity with healthcare regulations, standards, and transactions such as HIPAA, HL7, FHIR, X12, CPT, and ICD-10.</li>\n<li>Experience with laboratory systems and workflows or enterprise platforms such as SAP, Salesforce, Workday, Oracle, clearinghouses, and electronic health record systems.</li>\n<li>Experience modernizing legacy applications, leading distributed or hybrid teams, or working in regulated healthcare, diagnostics, life sciences, or medical-device environments.</li>\n<li>Relevant AWS certification, such as Solutions Architect, Developer, or DevOps Engineer.</li>\n</ul>\n<p>The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $147,000-$160,000 USD</p>","enriched_at":1792862464760},{"id":"job_77d6720f-cd9","title":"Reimbursement Specialist","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5246698007","location":"Remote","job_type":"full-time","experience_level":"mid","work_arrangement":"remote","category":"Healthcare","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.</p>\n<p>We are hiring a mid-level Reimbursement specialist to join our team. As a Reimbursement specialist, you will be a critical part of empowering Veracyte to achieve its mission of delivering transformative cancer care to patients by ensuring Veracyte gets reimbursed accurately and in a timely manner.</p>\n<p>Responsibilities include:</p>\n<ul>\n<li>Researching and monitoring specific billing issues, trends and potential risks</li>\n<li>Reviewing and ensuring claims are submitted accurately with all pre-claim requirements</li>\n<li>Tracking the status of claims and pulling reports to manage work</li>\n<li>Reviewing denied/unpaid claims and taking appropriate corrective action</li>\n<li>Providing administrative support for department(s) including performing data entry, updating various record keeping systems, upholding company policies and Client requirements, and participating in projects</li>\n<li>Navigating payor portals, website or phone systems to check Eligibility, Prior Auth, Claim or Appeal statuses</li>\n<li>Knowledge of payer guidelines and policies with ability to integrate it into daily decision making</li>\n<li>Assisting patients with navigating the financial journey with compassion and accuracy</li>\n<li>Verifying insurance/recipient benefits with Medicare, Medicaid and Private Insurer Payers</li>\n<li>Ensuring accurate and timely completion of billing responsibilities each day</li>\n<li>Reviewing and interpreting explanation of benefits</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>High school diploma or GED</li>\n<li>Associate&#39;s or bachelor&#39;s degree in healthcare administration, business, or related field preferred</li>\n<li>2+ years of experience in medical billing, insurance claims, or revenue cycle operations</li>\n<li>Experience with Microsoft Office, especially Word and Excel</li>\n<li>Experience with payer portals and claim tracking systems</li>\n<li>Familiarity with HIPAA compliance and healthcare privacy regulations</li>\n<li>Experience working with CRMs and Billing Software</li>\n<li>Strong, consistent work ethic with attention to detail and ability to focus on the big picture</li>\n<li>Ability to use analytical, interpersonal, communication, organizational, numerical, and time management skills</li>\n<li>Good organization skills with ability to meet deadlines and manage several projects at a time</li>\n<li>Enthusiasm and an entrepreneurial spirit</li>\n</ul>\n<p>We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions.</p>\n<p>The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $24.82-$33.59 USD</p>","enriched_at":1792862429476},{"id":"job_82c5cb5e-da6","title":"Senior Systems Engineer, IVD Software","source_url":"https://job-boards.greenhouse.io/veracyte/jobs/5146940007","location":"South San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.</p>\n<p>Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose-driven environment.</p>\n<p>This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.</p>\n<h3>The Position:</h3>\n<p>The Sr. Systems Engineer is a senior individual contributor and recognized technical authority responsible for the system architecture, reliability, and long-term operability of a commercial in vitro diagnostic (IVD) software product deployed across diverse customer environments.</p>\n<p>This role is focused exclusively on customer-facing product systems, not internal enterprise IT, and requires deep expertise in Windows-based platforms, distributed systems, and hybrid infrastructure.</p>\n<p>At the Senior level, this role is expected to operate with broad autonomy and influence, proactively identifying systemic risks, anticipating environment-specific failure modes, and shaping system design decisions early in the product lifecycle.</p>\n<p>You will partner closely with software engineering, quality, DevOps, and product teams to ensure the product behaves safely, predictably, and reliably across development, validation, and real-world enterprise deployments.</p>\n<h4>Responsibilities:</h4>\n<ul>\n<li>Own and evolve the system-level architecture of a Windows-based IVD software product deployed to customer environments.</li>\n<li>Act as a system-level technical authority, influencing architecture and design decisions without formal people management.</li>\n<li>Design, configure, and support product deployments using IIS, SQL Server, WSL, and Docker across on-premises, virtualized, and cloud environments.</li>\n<li>Anticipate, identify, and mitigate environment-specific risks across Windows and Linux systems, virtual machines, containers, networking, and cloud infrastructure.</li>\n<li>Support and stabilize a distributed product maintained over multiple years across a large enterprise install base (100+ customer installations).</li>\n<li>Lead deep root-cause analysis of complex issues spanning application behavior, operating systems, databases, containers, and infrastructure.</li>\n<li>Define, document, and enforce supported deployment models, environment assumptions, constraints, and known failure modes.</li>\n<li>Partner early with software engineering to surface non-obvious system dependencies, scalability limits, and operational risks.</li>\n<li>Contribute to containerized and orchestrated deployment strategies; experience with ECS or Kubernetes is a plus.</li>\n<li>Influence CI/CD pipelines and release processes to improve reliability, repeatability, and diagnosability in regulated environments.</li>\n<li>Apply security best practices to product systems, including hardening, access control, patching strategies, and vulnerability management.</li>\n<li>Drive improvements in observability through logging, monitoring, diagnostics, and operational tooling.</li>\n<li>Develop and maintain automation scripts to reduce manual configuration, increase consistency, and eliminate classes of environment-related issues.</li>\n<li>Ensure system designs, configurations, and documentation meet IVD regulatory and quality expectations.</li>\n<li>Create and maintain system architecture documentation, deployment guides, and operational playbooks.</li>\n<li>Serve as a senior escalation point and mentor for system-level issues, raising the bar for system engineering practices.</li>\n</ul>\n<h4>Who You Are:</h4>\n<ul>\n<li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li>\n<li>A minimum of 6 – 7 years of experience supporting commercial product software.</li>\n<li>Deep hands-on experience with Windows Server environments, including IIS and SQL Server in production.</li>\n<li>Strong working knowledge of Linux systems (e.g., Ubuntu, RHEL-based distributions) in product deployments.</li>\n<li>Proven experience with Docker and containerized application deployments.</li>\n<li>Experience supporting products deployed across virtualized environments (VMware, Hyper-V) and cloud infrastructure.</li>\n<li>Hands-on experience with AWS services such as EC2, VPC, IAM, and storage services.</li>\n<li>Demonstrated ability to proactively diagnose and resolve complex system-level issues across software, OS, and infrastructure layers.</li>\n<li>Experience developing automation scripts using Bash, PowerShell, Python, or similar languages.</li>\n<li>Familiarity with CI/CD pipelines and release workflows in regulated or quality-focused environments.</li>\n<li>Strong troubleshooting, problem-solving, and communication skills.</li>\n</ul>\n<h4>Preferred Qualifications:</h4>\n<ul>\n<li>Direct experience supporting IVD, medical device, or other regulated software products.</li>\n<li>Experience maintaining a distributed product for 2–3 years across 100+ enterprise customer installations.</li>\n<li>Exposure to container orchestration platforms such as ECS, EKS, or Kubernetes.</li>\n<li>Experience with infrastructure as code or configuration management tools.</li>\n<li>Familiarity with monitoring and logging platforms and operational diagnostics.</li>\n<li>Background in regulated environments with awareness of compliance and audit expectations.</li>\n<li>Demonstrated ability to influence system architecture and technical direction at a product level without formal management responsibility.</li>\n</ul>\n<p>The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc.</p>\n<p>Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.</p>\n<p>Pay range $183,000-$225,000 USD</p>","enriched_at":1792862402071}],"category_normalised":[{"category":"healthcare","count":8},{"category":"engineering","count":6},{"category":"sales","count":3},{"category":"data science","count":3},{"category":"research","count":1},{"category":"operations","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-19","count":22}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":22,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":155000,"industry_median":null,"percentile":null,"sample_size":13,"by_region":[{"region":"Unknown","company_median":186750,"industry_median":null,"sample":6},{"region":"Remote","company_median":139000,"industry_median":null,"sample":5},{"region":"United States","company_median":154250,"industry_median":null,"sample":2}],"transparency_pct":82,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":22,"industry_total":22,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.114,"skill_weighted_score":0.186,"top_exposed_titles":[{"title":"Sr. Bioinformatics Scientist","count":2,"score":0.245}],"top_exposed_skills":[{"skill":"Machine Learning","count":3,"score":0.186},{"skill":"Python","count":3,"score":0.185}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"Unknown","count":7,"share_pct":31.8},{"region":"Remote","count":6,"share_pct":27.3},{"region":"EU","count":3,"share_pct":13.6},{"region":"United States","count":3,"share_pct":13.6},{"region":"Middle East","count":2,"share_pct":9.1},{"region":"United Kingdom","count":1,"share_pct":4.5}],"emerging":[{"region":"Unknown","recent_30d":7,"prior_30d":0,"growth_pct":100},{"region":"Remote","recent_30d":6,"prior_30d":0,"growth_pct":100},{"region":"EU","recent_30d":3,"prior_30d":0,"growth_pct":100},{"region":"United States","recent_30d":3,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":3,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Medical Director, Laboratory and Pathology","location":"South San Francisco, California","posted_at":"2026-10-24"},{"title":"Medical Director, Endocrinology","location":"Remote","posted_at":"2026-10-24"},{"title":"Associate Medical Affairs Director","location":"UK","posted_at":"2026-10-24"}]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":12}}}}