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
Princeton University
Princeton, New Jersey
Overview The Director, Data Governance and Security is a member of the Data Strategy & Innovation team within University Advancement. Data Strategy & Innovation is dedicated to housing, managing, analyzing, and disseminating information and data to inform Advancement strategy, foster strong relationships with donors, volunteers, and campus partners, and promote effective integration. Reporting to the Associate Vice President for Data Strategy & Innovation, the Director will be responsible for supporting University Advancement's engagement efforts and overseeing an enterprise-wide role-based approach to data access through data governance, data management, and data security policies and practices. This job requires initiative, critical judgment, discretion, and strong technical, writing, and communications skills. Responsibilities Data Governance Manage a transparent and consistent approach to role-based access to alumni and donor data within Advancement systems. Develop and maintain policies for the governance and management of data access. This includes the timely update of all confidentiality agreement and related documents, and issuing and tracking of signoff by relevant constituencies. Work closely with OGC to confirm relevance, accuracy and applicability to all process related forms and documents. Maintain roles and responsibilities related to data access and ensure clear accountability for stewardship of Advancement's alumni data. Oversee internal process and identify process improvements for administering access to alumni and donor data, ensuring requests are addressed in a timely and efficient manner. Maintain a data governance framework that aligns with the University (as defined by the UDO) and Advancement's objectives and data strategy. Platform Security Work with CISO office to establish roadmap for application, information and data security tools and policies as they relate to Advancement. Ensure alignment with OIT and CISO strategic planning Oversee deployment and communication of new tools and policies to ensure that Advancement systems and data are secured to the greatest extent possible Maintain and update security roles aligned with University business needs and University policy Serve as a liaison between business and functional areas and technology to ensure that business requirements for protecting sensitive data are clearly defined and communicated Facilitate the development and implementation of data protection standards and adoption requirements for all designated users of alumni and donor data Data Management Set, communicate, and provide direction on data integrity protocols, data hygiene standards, and data management strategies Collaborate with Data Strategy & Innovation colleagues to ensure that alumni and donor data is used in a manner that is consistent with laws and regulations, as well as University policies on data security and privacy Establish, communicate and manage record retention policy in alignment with Advancement and University policies Work closely with Advancement's data management and reporting teams to support the foundation for data-driven decision-making Partner with Data Strategy & Innovation leadership to identify, develop, and execute large scale advancement data management initiatives Maintain systems to monitor quality control and oversight of data collection and entry in order to adequately meet the data management needs of Advancement Participate in cross-functional teams and projects, ensuring thorough documentation of processes and knowledge sharing, while maintaining clear and consistent communication Continually assess and improve the data management program to adapt to changing needs, technologies, and regulatory environments Special Projects Undertakes special projects and other duties as assigned. Qualifications Education: Bachelor's degree required 8+ years of relevant practical experience Proficiency with technology and systems Ability to quickly learn new systems and processes Excellent written and oral communication skills Discretion in dealing with highly confidential material Excellent interpersonal skills and a high degree of professionalism and initiative Excellent attention to detail; accuracy, flexibility and demonstrated ability to be proactive and to prioritize tasks Strong problem-solving, data gathering and organizational skills Strong computer skills, including proficiency in the Microsoft Office suite of applications (Word, Excel, PowerPoint and Outlook), CRM databases, ability to learn and manage alumni database information Customer service orientation Demonstrated ability to exercise independent judgment and make decisions based on established policies and procedures, and ability to interact with department staff, University Advancement staff and campus partners Commitment to University Advancement's mission to inform, involve, and inspire Princeton's global community of alumni and friends, and adhering to its guiding principles of High Performance, Innovation, Civility, and Collaboration. Preferred Knowledge of Princeton's mission Experience in higher education Prior experience in an educational or fundraising setting a plus Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PI0a6476f85cbf-7631
Overview The Director, Data Governance and Security is a member of the Data Strategy & Innovation team within University Advancement. Data Strategy & Innovation is dedicated to housing, managing, analyzing, and disseminating information and data to inform Advancement strategy, foster strong relationships with donors, volunteers, and campus partners, and promote effective integration. Reporting to the Associate Vice President for Data Strategy & Innovation, the Director will be responsible for supporting University Advancement's engagement efforts and overseeing an enterprise-wide role-based approach to data access through data governance, data management, and data security policies and practices. This job requires initiative, critical judgment, discretion, and strong technical, writing, and communications skills. Responsibilities Data Governance Manage a transparent and consistent approach to role-based access to alumni and donor data within Advancement systems. Develop and maintain policies for the governance and management of data access. This includes the timely update of all confidentiality agreement and related documents, and issuing and tracking of signoff by relevant constituencies. Work closely with OGC to confirm relevance, accuracy and applicability to all process related forms and documents. Maintain roles and responsibilities related to data access and ensure clear accountability for stewardship of Advancement's alumni data. Oversee internal process and identify process improvements for administering access to alumni and donor data, ensuring requests are addressed in a timely and efficient manner. Maintain a data governance framework that aligns with the University (as defined by the UDO) and Advancement's objectives and data strategy. Platform Security Work with CISO office to establish roadmap for application, information and data security tools and policies as they relate to Advancement. Ensure alignment with OIT and CISO strategic planning Oversee deployment and communication of new tools and policies to ensure that Advancement systems and data are secured to the greatest extent possible Maintain and update security roles aligned with University business needs and University policy Serve as a liaison between business and functional areas and technology to ensure that business requirements for protecting sensitive data are clearly defined and communicated Facilitate the development and implementation of data protection standards and adoption requirements for all designated users of alumni and donor data Data Management Set, communicate, and provide direction on data integrity protocols, data hygiene standards, and data management strategies Collaborate with Data Strategy & Innovation colleagues to ensure that alumni and donor data is used in a manner that is consistent with laws and regulations, as well as University policies on data security and privacy Establish, communicate and manage record retention policy in alignment with Advancement and University policies Work closely with Advancement's data management and reporting teams to support the foundation for data-driven decision-making Partner with Data Strategy & Innovation leadership to identify, develop, and execute large scale advancement data management initiatives Maintain systems to monitor quality control and oversight of data collection and entry in order to adequately meet the data management needs of Advancement Participate in cross-functional teams and projects, ensuring thorough documentation of processes and knowledge sharing, while maintaining clear and consistent communication Continually assess and improve the data management program to adapt to changing needs, technologies, and regulatory environments Special Projects Undertakes special projects and other duties as assigned. Qualifications Education: Bachelor's degree required 8+ years of relevant practical experience Proficiency with technology and systems Ability to quickly learn new systems and processes Excellent written and oral communication skills Discretion in dealing with highly confidential material Excellent interpersonal skills and a high degree of professionalism and initiative Excellent attention to detail; accuracy, flexibility and demonstrated ability to be proactive and to prioritize tasks Strong problem-solving, data gathering and organizational skills Strong computer skills, including proficiency in the Microsoft Office suite of applications (Word, Excel, PowerPoint and Outlook), CRM databases, ability to learn and manage alumni database information Customer service orientation Demonstrated ability to exercise independent judgment and make decisions based on established policies and procedures, and ability to interact with department staff, University Advancement staff and campus partners Commitment to University Advancement's mission to inform, involve, and inspire Princeton's global community of alumni and friends, and adhering to its guiding principles of High Performance, Innovation, Civility, and Collaboration. Preferred Knowledge of Princeton's mission Experience in higher education Prior experience in an educational or fundraising setting a plus Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PI0a6476f85cbf-7631
Princeton University
Princeton, New Jersey
Overview The Lead Systems Engineer for High Performance Computing (HPC) and Artificial Intelligence (AI) works as part of the Advanced Systems team within Research Computing that supports the hardware and system-level software on the University's centralized high-performance computing and other computing for research systems. The Lead Systems Engineer is responsible for engaging with faculty, researchers, vendors, and other information technology (IT) staff to specify, design, install, and administer computing for research systems while also providing insight into trends and technologies supporting the advancement of AI research. The Lead Systems Engineer is also expected to be in tune to trends in computational research and will be asked to evaluate, pilot, and implement systems that advance Princeton's HPC and AI technologies enhancing Research Computing services. The Lead Systems Engineer serves as an expert for HPC and AI hardware and software and helps researchers troubleshoot system level problems with software, data, and job submission. This position requires one to work closely with colleagues at all levels of technical understanding in the Office of Information Technology (OIT) and University academic departments to provide timely and creative support for research computing. The Lead Systems Engineer is required to work well on teams and independently, and will be asked to lead initiatives within Advanced Systems, requiring only general supervision. On-call rotation is a mandatory facet of this role, requiring infrequent off-hour and weekend duty. Responsibilities Operations: Design, maintain, troubleshoot, and refine advanced HPC/AI cluster infrastructure including high performance interconnects, cluster schedulers, and configuration management across research systems. Partner with colleagues in Advanced Data and Storage Management to align designs for scratch filesystems and data management with cluster designs. Develop data-transfer pathways and networks to support AI driven computing workloads. Establish and maintain best practices for cluster management and usage to support AI-driven workloads. Develop documentation for users and technical staff that can be used by the larger community. Develop, enhance, and expand monitoring infrastructure and related protocols for research computing systems. Plan and implement scheduled maintenance of operations, including during off hours. Perform other tasks as assigned. Technical Leadership: Define and drive the institutional technical strategy for advanced AI and data intensive HPC. Bring creativity, foresight, and mature professional judgment in anticipating and solving novel and complex problems, in determining project objectives and requirements, and in developing standards and governance for all research computing platforms. Leveraging expertise in AI technologies, identify, evaluate, and pilot researcher-facing systems that enable the acceleration of research using AI. Lead the implementation and expand adoption of modern, automation-driven infrastructure and cluster management practices. Promote institution wide collaboration as the community expert advising and working with faculty, researchers and vendors on emerging trends and challenges in AI enabled research computing. Cultivate a collaborative, knowledge sharing environment by providing technical mentorship to systems specialists and analysts by sharing designs and operational expertise across data systems and HPC/AI infrastructure. Contribute to the strategic vision for HPC/AI systems; Advise senior leadership and stakeholders on strategic investments, risks, and opportunities related to research infrastructure. Troubleshooting and Problem Resolution: Monitor HPC clusters, networks, and storage systems for abnormalities, and resolve issues. Analyze and solve problems in Linux and HPC/AI computing environments with software, data, and job submissions. Use scripting and programming tools to troubleshoot issues. Qualifications Essential Qualifications: 10+ years of strong experience managing advanced research computing systems. Strong expertise with Linux system administration, installation, and troubleshooting. Advanced experience writing scripts in languages such as bash, Python and/or Perl. Proficient in managing networking in HPC environments. Strong experience managing software in an advanced research computing environment. Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments. Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community. Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels. Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day to day operational needs with longer term technical and organizational goals as technologies evolve. When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data. Education: Bachelors degree in a related field or equivalent experience. Preferred Qualifications: Experience working in an academic and research settings. Experience supporting AI driven research in open and secure computing environments. Familiarity using and administering data-transfer technologies such as Globus that facilitate the transfer of large datasets. Experience using and supporting parallel file systems that are commonly used in HPC/AI systems. Experience supporting unstructured data in HPC/AI environments. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIc3ef4d97aa50-8951
Overview The Lead Systems Engineer for High Performance Computing (HPC) and Artificial Intelligence (AI) works as part of the Advanced Systems team within Research Computing that supports the hardware and system-level software on the University's centralized high-performance computing and other computing for research systems. The Lead Systems Engineer is responsible for engaging with faculty, researchers, vendors, and other information technology (IT) staff to specify, design, install, and administer computing for research systems while also providing insight into trends and technologies supporting the advancement of AI research. The Lead Systems Engineer is also expected to be in tune to trends in computational research and will be asked to evaluate, pilot, and implement systems that advance Princeton's HPC and AI technologies enhancing Research Computing services. The Lead Systems Engineer serves as an expert for HPC and AI hardware and software and helps researchers troubleshoot system level problems with software, data, and job submission. This position requires one to work closely with colleagues at all levels of technical understanding in the Office of Information Technology (OIT) and University academic departments to provide timely and creative support for research computing. The Lead Systems Engineer is required to work well on teams and independently, and will be asked to lead initiatives within Advanced Systems, requiring only general supervision. On-call rotation is a mandatory facet of this role, requiring infrequent off-hour and weekend duty. Responsibilities Operations: Design, maintain, troubleshoot, and refine advanced HPC/AI cluster infrastructure including high performance interconnects, cluster schedulers, and configuration management across research systems. Partner with colleagues in Advanced Data and Storage Management to align designs for scratch filesystems and data management with cluster designs. Develop data-transfer pathways and networks to support AI driven computing workloads. Establish and maintain best practices for cluster management and usage to support AI-driven workloads. Develop documentation for users and technical staff that can be used by the larger community. Develop, enhance, and expand monitoring infrastructure and related protocols for research computing systems. Plan and implement scheduled maintenance of operations, including during off hours. Perform other tasks as assigned. Technical Leadership: Define and drive the institutional technical strategy for advanced AI and data intensive HPC. Bring creativity, foresight, and mature professional judgment in anticipating and solving novel and complex problems, in determining project objectives and requirements, and in developing standards and governance for all research computing platforms. Leveraging expertise in AI technologies, identify, evaluate, and pilot researcher-facing systems that enable the acceleration of research using AI. Lead the implementation and expand adoption of modern, automation-driven infrastructure and cluster management practices. Promote institution wide collaboration as the community expert advising and working with faculty, researchers and vendors on emerging trends and challenges in AI enabled research computing. Cultivate a collaborative, knowledge sharing environment by providing technical mentorship to systems specialists and analysts by sharing designs and operational expertise across data systems and HPC/AI infrastructure. Contribute to the strategic vision for HPC/AI systems; Advise senior leadership and stakeholders on strategic investments, risks, and opportunities related to research infrastructure. Troubleshooting and Problem Resolution: Monitor HPC clusters, networks, and storage systems for abnormalities, and resolve issues. Analyze and solve problems in Linux and HPC/AI computing environments with software, data, and job submissions. Use scripting and programming tools to troubleshoot issues. Qualifications Essential Qualifications: 10+ years of strong experience managing advanced research computing systems. Strong expertise with Linux system administration, installation, and troubleshooting. Advanced experience writing scripts in languages such as bash, Python and/or Perl. Proficient in managing networking in HPC environments. Strong experience managing software in an advanced research computing environment. Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments. Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community. Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels. Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day to day operational needs with longer term technical and organizational goals as technologies evolve. When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data. Education: Bachelors degree in a related field or equivalent experience. Preferred Qualifications: Experience working in an academic and research settings. Experience supporting AI driven research in open and secure computing environments. Familiarity using and administering data-transfer technologies such as Globus that facilitate the transfer of large datasets. Experience using and supporting parallel file systems that are commonly used in HPC/AI systems. Experience supporting unstructured data in HPC/AI environments. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIc3ef4d97aa50-8951