Genmab
Princeton, New Jersey
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Role Overview We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US, EU and UK commercial data warehouse. You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Veeva CRM, Integrichain, Symphony Non-Retail, Claims data, Digital, Omnichannel and Precision lab data. Work arrangement: This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Core Responsibilities Data Engineering & Architecture Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations. Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools. Engineer scalable data ingestion pipelines into AWS (DBT, SQL, PythonS3, Kinesis, Glue, Lambda, Step Functions) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs. Data Modeling, Governance, Security and Compliance Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles. Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration. Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation. Ensure data lineage, cataloging, and metadata management are maintained. Apply HIPPA privacy rules, and pharma specific compliance standards. Support audits, documentation, and validation activities. Analytics Enablement & Dashboards Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.). Partner with analysts and data scientists to optimize queries and deliver production-ready datasets. Manage ingestion and harmonization of EU commercial datasets such as: HCP/HCO master data (IQVIA and Veeva) Sales and distribution data (Integrichain, Symphony Non-Retail and Country specific market data) Omnichannel engagement (email, rep-triggered, web, events) CRM activity data (Veeva, LifeScience Cloud) Market research and syndicated data (IQVIA, etc.) Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics. Platform Engineering & Automation Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks. Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation). Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar). Benchmark and optimize SQL, Spark, and BI query performance at scale. Collaboration & Stakeholder Support Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions. Work closely with IT, Compliance, and Data Privacy teams to ensure GDPR aligned data handling. Provide technical guidance on data availability, feasibility, and best practices. Required Qualifications 5+ years in data engineering, analytics engineering, or data platform development. 10+ years of experience IT with some in Biotech/Pharma industry Expert-level proficiency in: DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment. Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog. Snowflake AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals. Data Visualization: Power BI or Tableau. Strong programming background in Python and SQL (including query optimization). Proven experience with distributed systems and large-scale datasets (TB scale). Experience implementing CI/CD pipelines, data testing, and infrastructure as code. Solid understanding of data governance, security, and compliance in enterprise environments. Why This Role? Working as a Data Engineer in an oncology company means your work directly supports the people who need it most-patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You're not just optimizing pipelines-you're helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together. You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization. For US based candidates, the proposed salary band for this position is as follows: $131,600.00 $197,400.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories . click apply for full job details
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Role Overview We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US, EU and UK commercial data warehouse. You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Veeva CRM, Integrichain, Symphony Non-Retail, Claims data, Digital, Omnichannel and Precision lab data. Work arrangement: This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Core Responsibilities Data Engineering & Architecture Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations. Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools. Engineer scalable data ingestion pipelines into AWS (DBT, SQL, PythonS3, Kinesis, Glue, Lambda, Step Functions) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs. Data Modeling, Governance, Security and Compliance Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles. Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration. Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation. Ensure data lineage, cataloging, and metadata management are maintained. Apply HIPPA privacy rules, and pharma specific compliance standards. Support audits, documentation, and validation activities. Analytics Enablement & Dashboards Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.). Partner with analysts and data scientists to optimize queries and deliver production-ready datasets. Manage ingestion and harmonization of EU commercial datasets such as: HCP/HCO master data (IQVIA and Veeva) Sales and distribution data (Integrichain, Symphony Non-Retail and Country specific market data) Omnichannel engagement (email, rep-triggered, web, events) CRM activity data (Veeva, LifeScience Cloud) Market research and syndicated data (IQVIA, etc.) Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics. Platform Engineering & Automation Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks. Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation). Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar). Benchmark and optimize SQL, Spark, and BI query performance at scale. Collaboration & Stakeholder Support Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions. Work closely with IT, Compliance, and Data Privacy teams to ensure GDPR aligned data handling. Provide technical guidance on data availability, feasibility, and best practices. Required Qualifications 5+ years in data engineering, analytics engineering, or data platform development. 10+ years of experience IT with some in Biotech/Pharma industry Expert-level proficiency in: DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment. Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog. Snowflake AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals. Data Visualization: Power BI or Tableau. Strong programming background in Python and SQL (including query optimization). Proven experience with distributed systems and large-scale datasets (TB scale). Experience implementing CI/CD pipelines, data testing, and infrastructure as code. Solid understanding of data governance, security, and compliance in enterprise environments. Why This Role? Working as a Data Engineer in an oncology company means your work directly supports the people who need it most-patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You're not just optimizing pipelines-you're helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together. You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization. For US based candidates, the proposed salary band for this position is as follows: $131,600.00 $197,400.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories . click apply for full job details
Genmab
Princeton, New Jersey
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! The Role The Director, Data Quality and Process, External Data Clinical Data Management, is a strategic leadership role responsible for defining and driving the vision for external data quality, operational excellence, vendor oversight, and process standardization across Genmab's global clinical development portfolio. As a member of the External Data Management Leadership Team, this role partners closely with Clinical Data Management, Clinical Operations, Biomarker Operations, Medical, Biostatistics, Clinical Programming, Regulatory, and external partners to ensure efficient acquisition, integration, quality, and governance of external clinical data throughout the study lifecycle. The Director establishes scalable processes, drives continuous improvement, ensures inspection readiness, and leads enterprise initiatives that strengthen quality, consistency, compliance, and operational execution across all clinical programs. Responsibilities 1. Strategic Leadership and Portfolio Governance Serve as the functional leader for External Data Quality and Process across the clinical development portfolio. Develop and execute the strategic roadmap for external data quality, operational excellence, and process governance. Drive portfolio consistency through standardized processes, governance models, metrics, and best practices. Lead cross-functional initiatives supporting organizational growth, scalability, and operational excellence. Provide strategic recommendations to senior leadership regarding external data strategy, operational risks, and quality improvements. Champion a culture of continuous improvement and operational excellence across Development Operations. 2. External Data Quality and Process Excellence Lead development, implementation, and governance of external data management processes, standards, SOPs, work instructions, and guidance documents. Ensure consistent implementation of external data standards across all studies and vendors. Drive initiatives that improve data quality, streamline external data flows, reduce operational risk, and enhance inspection readiness. Lead lessons learned activities and translate findings into sustainable process improvements. Evaluate emerging technologies, automation, AI solutions, and industry best practices to improve operational efficiency. 3. Vendor Strategy and Operational Oversight Provide strategic oversight of CROs and external data vendors supporting clinical trials. Develop vendor oversight models, KPIs, KQIs, governance processes, and performance metrics. Lead vendor qualification activities, RFP evaluations, bid defenses, and review of Statements of Work. Partner with vendors to improve quality, operational consistency, issue resolution, and innovation. Ensure vendor processes align with Genmab standards and regulatory expectations. Escalate significant operational risks and drive resolution through governance committees when appropriate. 4. Cross-functional Leadership Build strong partnerships across Clinical Data Management, Clinical Operations, Medical, Biomarker Operations, Clinical Programming, Biostatistics, Regulatory, Quality Assurance, and Development Operations. Lead cross-functional governance meetings supporting external data strategy and execution. Ensure alignment between business processes, technology solutions, and operational objectives. Influence organizational decision-making by providing expertise in external data management and operational risk. 5. Inspection-Readiness, Quality and Compliance Lead inspection readiness strategy for External Data Management. Ensure external data processes comply with ICH-GCP, GCDMP, regulatory guidance, and Genmab quality standards. Support regulatory inspections, audits, root cause analyses, CAPAs, and continuous quality improvement activities. Monitor portfolio quality trends and implement proactive mitigation strategies. 6. Operational Excellence and Knowledge Management Develop portfolio-wide onboarding programs and role-based training. Lead development of functional playbooks, guidance documents, templates, and standards libraries. Promote knowledge sharing and consistency across internal teams and external partners. Mentor team members and contribute to development of future leaders within External Data Management. Foster a collaborative environment focused on innovation, accountability, and continuous learning. Additional Responsibilities: Drive alignment meetings within the data management group to ensure consistency of data management practices across trials within an asset and/or within the trials conducted by a DM vendor/partner Represent Clinical Data Management on cross-functional governance committees. Represent Genmab on industry initiatives and external working groups as appropriate. Maintain awareness of evolving industry trends, technologies, regulatory expectations, and best practices. Support departmental objectives and strategic initiatives as assigned. Serve as Subject Matter Expert for External Data Quality Management. Requirements Bachelor's degree in a scientific, technical, or health-related field; advanced degree (MS, PhD) preferred. Minimum 15+ years of clinical research or clinical data management experience. Minimum 5 years in strategic leadership within Clinical Data Management or External Data Management. Extensive experience managing external clinical data including laboratories, imaging, eCOA, IRT, biomarkers, wearables, and other third-party data sources. Experience leading global CRO and vendor oversight. Experience developing clinical data management standards, processes, and governance. Experience supporting regulatory inspections and submission readiness. Strong understanding of end to end trial conduct Strong Project Management capability, strategic planning and portfolio thinking Operational excellence and process improvement mindset Cross functional alignment and communication Problem solving, critical thinking and decision making Knowledge of EDC systems, ICH GCP, GDMP, and regulatory expectations Oncology experience strongly preferred. For US based candidates, the proposed salary band for this position is as follows: $189,200.00 $283,800.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific . click apply for full job details
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! The Role The Director, Data Quality and Process, External Data Clinical Data Management, is a strategic leadership role responsible for defining and driving the vision for external data quality, operational excellence, vendor oversight, and process standardization across Genmab's global clinical development portfolio. As a member of the External Data Management Leadership Team, this role partners closely with Clinical Data Management, Clinical Operations, Biomarker Operations, Medical, Biostatistics, Clinical Programming, Regulatory, and external partners to ensure efficient acquisition, integration, quality, and governance of external clinical data throughout the study lifecycle. The Director establishes scalable processes, drives continuous improvement, ensures inspection readiness, and leads enterprise initiatives that strengthen quality, consistency, compliance, and operational execution across all clinical programs. Responsibilities 1. Strategic Leadership and Portfolio Governance Serve as the functional leader for External Data Quality and Process across the clinical development portfolio. Develop and execute the strategic roadmap for external data quality, operational excellence, and process governance. Drive portfolio consistency through standardized processes, governance models, metrics, and best practices. Lead cross-functional initiatives supporting organizational growth, scalability, and operational excellence. Provide strategic recommendations to senior leadership regarding external data strategy, operational risks, and quality improvements. Champion a culture of continuous improvement and operational excellence across Development Operations. 2. External Data Quality and Process Excellence Lead development, implementation, and governance of external data management processes, standards, SOPs, work instructions, and guidance documents. Ensure consistent implementation of external data standards across all studies and vendors. Drive initiatives that improve data quality, streamline external data flows, reduce operational risk, and enhance inspection readiness. Lead lessons learned activities and translate findings into sustainable process improvements. Evaluate emerging technologies, automation, AI solutions, and industry best practices to improve operational efficiency. 3. Vendor Strategy and Operational Oversight Provide strategic oversight of CROs and external data vendors supporting clinical trials. Develop vendor oversight models, KPIs, KQIs, governance processes, and performance metrics. Lead vendor qualification activities, RFP evaluations, bid defenses, and review of Statements of Work. Partner with vendors to improve quality, operational consistency, issue resolution, and innovation. Ensure vendor processes align with Genmab standards and regulatory expectations. Escalate significant operational risks and drive resolution through governance committees when appropriate. 4. Cross-functional Leadership Build strong partnerships across Clinical Data Management, Clinical Operations, Medical, Biomarker Operations, Clinical Programming, Biostatistics, Regulatory, Quality Assurance, and Development Operations. Lead cross-functional governance meetings supporting external data strategy and execution. Ensure alignment between business processes, technology solutions, and operational objectives. Influence organizational decision-making by providing expertise in external data management and operational risk. 5. Inspection-Readiness, Quality and Compliance Lead inspection readiness strategy for External Data Management. Ensure external data processes comply with ICH-GCP, GCDMP, regulatory guidance, and Genmab quality standards. Support regulatory inspections, audits, root cause analyses, CAPAs, and continuous quality improvement activities. Monitor portfolio quality trends and implement proactive mitigation strategies. 6. Operational Excellence and Knowledge Management Develop portfolio-wide onboarding programs and role-based training. Lead development of functional playbooks, guidance documents, templates, and standards libraries. Promote knowledge sharing and consistency across internal teams and external partners. Mentor team members and contribute to development of future leaders within External Data Management. Foster a collaborative environment focused on innovation, accountability, and continuous learning. Additional Responsibilities: Drive alignment meetings within the data management group to ensure consistency of data management practices across trials within an asset and/or within the trials conducted by a DM vendor/partner Represent Clinical Data Management on cross-functional governance committees. Represent Genmab on industry initiatives and external working groups as appropriate. Maintain awareness of evolving industry trends, technologies, regulatory expectations, and best practices. Support departmental objectives and strategic initiatives as assigned. Serve as Subject Matter Expert for External Data Quality Management. Requirements Bachelor's degree in a scientific, technical, or health-related field; advanced degree (MS, PhD) preferred. Minimum 15+ years of clinical research or clinical data management experience. Minimum 5 years in strategic leadership within Clinical Data Management or External Data Management. Extensive experience managing external clinical data including laboratories, imaging, eCOA, IRT, biomarkers, wearables, and other third-party data sources. Experience leading global CRO and vendor oversight. Experience developing clinical data management standards, processes, and governance. Experience supporting regulatory inspections and submission readiness. Strong understanding of end to end trial conduct Strong Project Management capability, strategic planning and portfolio thinking Operational excellence and process improvement mindset Cross functional alignment and communication Problem solving, critical thinking and decision making Knowledge of EDC systems, ICH GCP, GDMP, and regulatory expectations Oncology experience strongly preferred. For US based candidates, the proposed salary band for this position is as follows: $189,200.00 $283,800.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific . click apply for full job details