Phd engineering jobs in Hoboken, New JerseyCreate job alerts

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Do you want to help design the next generation of materials used for batteries, space exploration or water purification? Are you interested in getting a PhD? A position is available in Prof. Jacob Gissinger's group at Stevens Institute of Technology (nanocipher.org), for Fall 2026. The research will involve computational design of polymeric systems, such as polymer electrolytes, or high-performance polymers and composites for use in extreme environments. Prerequisites Applicant must not have a PhD. Applicant must hold a bachelor's degree before Fall 2026. American citizenship required for some projects. Why Stevens? We are a research-intensive university in a prime location. Quiet Hoboken is a 10-minute subway ride from downtown Manhattan. Responsibilities Be excited to do research. Be curious. Be willing to learn. Qualifications • Bachelor's degree in materials science, chemical engineering or related fields, • Programming skills in languages such as Python, • Ability to work in an interdisciplinary and collaborative environment, • Excellent written and verbal communication skills, • Background in computational materials science, machine learning and polymer engineering preferred Please direct any questions to Prof. Gissinger at . For more information about the group, visit nanocipher.org.

We are seeking a highly analytical Quant Investment Strategist / Portfolio Management Associate to join a top performing Credit team of a $100B asset manager. In this role, you will be the primary engine behind the modeling and analytics that drive our portfolio construction and asset allocation. Working directly with the Senior Portfolio Manager (PM), you will leverage advanced quantitative techniques to build and optimize credit portfolios, with a heavy focus on Structured Products (CLOs, ABS, RMBS/CMBS) and Private Credit (Direct Lending, Specialty Finance). You will bridge the gap between complex data architecture and real-world investment execution. Key Responsibilities Portfolio Construction & Optimization • Develop and maintain sophisticated models for Asset Allocation across various credit sub-sectors., • Implement optimization frameworks (e.g., Mean-Variance, Black-Litterman, or Factor-based) tailored for illiquid and structured credit assets., • Build cash flow engines and valuation models for complex Structured Products., • Develop proprietary risk models to capture non-linear risks inherent in private credit and leveraged structures., • Partner directly with the PM to provide data-driven insights for investment committee memos., • Monitor market signals and spread movements to suggest tactical rebalancing opportunities., • Synthesize large datasets of loan-level data to identify structural trends in the private credit landscape. Required • Advanced Degree (Masters or PhD): Required in a STEM field (Mathematics, Physics, Financial Engineering, Computer Science, or Statistics)., • Experience: 3–7 years of professional experience in a quantitative research or portfolio management environment., • Domain Expertise: Demonstrated knowledge of Credit Markets. Experience with Structured Products (CLOs) or Private Credit is highly preferred., • Programming: Expert-level proficiency in Python (NumPy, Pandas, Scikit-learn) or R., • Database/SQL: Ability to manipulate and query large-scale financial datasets., • Optimization: Deep understanding of stochastic calculus, linear algebra, and optimization libraries., • Tools: Familiarity with credit analytical tools (e.g., Intex, Bloomberg, or Moody’s Analytics) is a plus.

As a Quant Investment Associate, you will be the analytical engine behind our Fixed Income platform. You will not only build the models but also interpret the data to provide strategic recommendations on portfolio construction, tactical asset allocation, and risk-adjusted optimization. This is a highly visible, front-office role where your work directly impacts the alpha generation of our Fixed Income mandates. Key Responsibilities Portfolio Construction & Optimization • Quantitative Modeling: Design and implement robust frameworks for multi-sector Fixed Income portfolio construction (including Sovereigns, Corporates, High Yield, and Securitized products)., • Optimization: Develop and refine optimization algorithms (e.g., Mean-Variance, Risk-Parity, or Factor-based) that account for transaction costs, liquidity constraints, and regulatory requirements (e.g., Basel IV/Solvency II)., • Alpha Generation: Utilize systematic signals and alternative data to identify relative value opportunities across global fixed-income markets., • Scenario Analysis: Conduct "Stress-Testing" and "What-If" simulations to quantify portfolio sensitivity to interest rate shocks, spread widening, or geopolitical events., • Custom Tooling: Build and maintain proprietary Python-based libraries for bond pricing, yield curve fitting, and attribution., • Visual Dashboards: Develop real-time dashboards (using Streamlit, Dash, or Tableau) to visualize portfolio exposures, risk concentrations, and performance drivers., • Ad-hoc Analytics: Rapidly respond to market events by performing deep-dive data analysis on specific sectors or idiosyncratic risks. Qualifications • Education: Masters or PhD in a STEM field (Financial Engineering, Mathematics, Physics, Statistics, or Computer Science)., • Experience: 3–10 years in a quantitative role within Fixed Income, ideally on the buy-side (Asset Management or Hedge Fund)., • Programming: Expert-level Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Experience with SQL and version control (Git) is essential., • Fixed Income Mastery: Deep understanding of duration/convexity, credit spreads, OAS, and the mechanics of structured products or derivatives (CDX, Swaps, Futures)., • Communication: Ability to bridge the gap between "Quant" and "PM"—explaining technical methodologies to non-technical stakeholders., • Commercial Acumen: A passion for markets and a drive to find profitable patterns in data., • Agility: Comfortable in a fast-paced trading floor environment where priorities can shift based on market volatility.

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. QuidelOrtho is seeking a Manager, Data Analytics. The Manager, Data Analytics is a global people leader within QuidelOrtho' s Global Quality & Compliance (GQ&C) organization. This leader is responsible for developing and leading a team of Quality professionals to ensure the design, implementation, and continuous improvement of Quality systems, processes, and programs that enable QuidelOrtho' s Right to Operate and support business agility, innovation, and growth. This role provides strategic direction and operational oversight across Quality disciplines. operate under little to no direct supervision and provide independent guidance to the business. This position is considered a subject matter expert in Quality Data Analytics and Complaint Trending. They are accountable for the work of the Quality Data Analytics team and the success of team projects; and will have significant amounts of critical organizational and technical knowledge. This leader is responsible for the day-to-day management and supervision of Quality Engineers and Data Analysts and is also accountable for developing talent, strengthening scientific and compliance capabilities, and fostering a culture of engagement, collaboration, and performance. By integrating technical expertise, data-driven insights, and agile leadership behaviors, the Manager, Data Analytics ensures that Quality systems and teams deliver sustainable business and compliance outcomes. This position will be Hybrid in any global QuidelOrtho site. * Provides independent guidance to business partners on quality data handling and analytics. Establish dashboards and data visualizations to support product quality and continuous improvement. * Leads metrics and data analytics work for Complaints, Recalls, NC, CAPA, Audits/Compliance and other areas of Quality. * Ability to manage complaint trending activities and related software system validations * Ability to compile and present quality data and analysis to the business eg: Management Review. * Lead, develop, and inspire a team of Quality professionals to achieve organizational and individual performance objectives. * Establishclear priorities, assign responsibilities, and ensure effective resource allocation to meet business and compliance needs. * Provide technical, regulatory, and operational leadership to ensure Quality systemscomply withISO 13485, FDA 21 CFR 820, IVDR, and other applicable requirements. * Drive harmonization and standardization of Quality processes, procedures, and tools across sites and functions to strengthen compliance and efficiency. * Promote a culture of continuous improvement byidentifyingopportunities for simplification, process excellence, and digital enablement within the Quality Management System (QMS). * Ensure the teammaintainsa state ofinspectionreadiness and supports successful engagement with regulatory agencies, notified bodies, and internal audits. * MonitorQuality performance using metrics and data analytics toidentifyrisks, drive root cause analysis, and implement sustainable improvements. * Coach and mentor emerging Quality team members to build organizational capability and ensure robust succession planning. * Communicate Quality and Compliance strategy, progress, and risk mitigation plans to senior leadership and cross-functional stakeholders. * Ability to identify and drive process improvements; own process investigations, nonconformance records or corrective actions in response to audit findings. * Perform other work-related duties as assigned. Required: * Bachelor's degree in Life Sciences, Engineering, or a related technical discipline required. * 7+ years of progressive experience in Quality, Compliance, or related fields within the Medical Device, IVD, or Biopharmaceutical industries, including at least 3 years in people leadership. * Strong understanding of Quality System regulations and standards, including ISO 13485, FDA 21 CFR 820, and IVDR. * Proven ability to lead and develop high-performing teams and build future technical and people leaders * Demonstrated success driving Quality and Compliance initiatives that align with business strategy and regulatory expectations. • Excellent collaboration, influence, and communication skills across functional and organizational boundaries., • Strong analytical and problem-solving skills, with experience using data to drive decision-making and improvement., • Experience leading in a matrixed, global organization and managing competing priorities effectively., • Commitment to scientific integrity, compliance excellence, and continuous improvement. Preferred: * Advanced degree (MS, PhD, MBA, or equivalent) in a relevant discipline. * Experience implementing or optimizing global Quality Management Systems (QMS) and digital tools. * Lean Six Sigma, PMP, or similar certification demonstrating process improvement expertise. * Experience supporting or leading Health Authority or Notified Body inspections. Internal: Operations, Supply Chain, R&D, Commercial, Regulatory Affairs, GSO, Quality & Compliance teams globally and regionally. External: Regulatory agencies, Notified Bodies, Contract manufacturers, Suppliers, and service providers. Typical office or laboratory environment. May involve virtual collaboration across multiple global sites. No strenuous physical activity required. May include occasional travel for site visits, leadership meetings, or regulatory support. At QuidelOrtho, our culture is shaped by four core behaviors that guide how we collaborate, make decisions, and support each other and those we serve. The ideal candidate will exhibit these behaviors, as we believe they're essential to how we thrive as a team and achieve meaningful impact: * Thrive Together - Collaborate intentionally, grow as a team * Make It Happen - Focus on priorities, embrace continuous improvement * Commit to Service - Cultivate a service mindset * Embrace Inclusion - Be open and authentic, welcome diverse perspectives Salary range for this position takes into account a wide range of factors including: education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on that facts and circumstances of each case. Salary range for this position is $135,000 to $175,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___. #LI-SP1

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. As we continue to grow as one QuidelOrtho we are seeking a Director of Global Supply Network Excellence. The Quality & Compliance Director is a global people leader within QuidelOrtho' s Global Quality & Compliance (GQ&C) organization. This leader is responsible for developing and leading a team of Quality professionals to ensure the design, implementation, and continuous improvement of Quality systems, processes, and programs that enable QuidelOrtho' s Right to Operate and support business agility, innovation, and growth. This role provides strategic direction and operational oversight across QuidelOrtho' s overall supply network providing leadership for supplier quality and supply chain quality -ensuring alignment with global regulatory requirements (ISO 13485, FDA 21 CFR 820, IVDR, and other applicable standards). The role partners cross-functionally to embed Quality and Compliance principles throughout the product lifecycle, driving harmonization, inspection readiness, and continuous improvement. The role leads the strategy for quality support of end-to-end supply chain. Encompassing distribution, marketing companies and supplier management. The responsibilities span all quality elements associated with the supplier management process including initial partner selection, creation and maintenance of quality agreements, monitoring of overall partner organization quality performance, supplier audit, change management and non-conformance / CAPA oversight. This position includes the oversight of the purchasing control processes. This role also demands identification and execution of continuous improvements to QuidelOrtho' s Supplier Quality Management processes at the global level to meet the current and future needs of the QuidelOrtho business. These improvements will ensure continued compliance with quality system regulations while driving overall efficiencies and improvements in QuidelOrtho' s Supplier Quality Management Processes. These initiatives will demand close collaboration with key stakeholders and business partners across the organization including but not limited to Global Procurement, Global Supply Chain, Operations, R&D, Site Quality, Design Quality, Global Compliance and Regulatory. This leader is also accountable for developing talent, strengthening scientific and compliance capabilities, and fostering a culture of engagement, collaboration, and performance. By integrating technical expertise, data-driven insights, and agile leadership behaviors, the Quality & Compliance Manager/Senior Manager ensures that Quality systems and teams deliver sustainable business and compliance outcomes. This position will be onsite in Rochester, NY or San Diego, CA. * Lead, develop, and inspire a team of Quality professionals to achieve organizational and individual performance objectives. * Establish clear priorities, assign responsibilities, and ensure effective resource allocation to meet business and compliance needs. * Provide technical, regulatory, and operational leadership to ensure Quality systems comply with ISO 13485, FDA 21 CFR 820, IVDR, and other applicable requirements. * Management Responsibility as required by ISO13485/9001 and ensuring specific economic operator roles are fulfilled - for example, importer / distributor / Authorized Representative responsibilities * Drive harmonization and standardization of Quality processes, procedures, and tools across sites and functions to strengthen compliance and efficiency. * Partner with Manufacturing, R&D, Regulatory Affairs, Supply Chain, and other stakeholders to integrate Quality and Compliance principles throughout the product lifecycle. * Promote a culture of continuous improvement by identifying opportunities for simplification, process excellence, and digital enablement within the Quality Management System (QMS). * Ensure the team maintains a state of inspection readiness and supports successful engagement with regulatory agencies, notified bodies, and internal audits. * Monitor Quality performance using metrics and data analytics to identify risks, drive root cause analysis, and implement sustainable improvements. * Coach and mentor emerging Quality leaders and technical experts to build organizational capability and ensure robust succession planning. * Communicate Quality and Compliance strategy, progress, and risk mitigation plans to senior leadership and cross-functional stakeholders. * Manage departmental budget and resources effectively, identifying opportunities to drive cost efficiencies while maintaining compliance and quality standards. * Model QuidelOrtho' s leadership principles by demonstrating collaboration, accountability, inclusion, and service mindset in all interactions. * Person Responsible for Regulatory Compliance (PRRC per EU IVDR (2017/746) on behalf of the wholly-owned legal manufacturers of QuidelOrtho Corporation as defined in the Delegation of Authority (DMS-POL80064) * Article 15(3)(a): Responsible for ensuring that the conformity of the devices is appropriately checked, in accordance with the quality management system under which the devices are manufactured, before a device is released. * Execution of Importer and distributor responsibilities, specially making sure that the devices placed on the market bear the CE marking, are accompanied by the required information and labelled in accordance with the Regulation, and storage and transport conditions are in line with specifications. * Perform other work-related duties as assigned. Required: * Bachelor's degree in Life Sciences, Engineering, or a related technical discipline required.12+ years' experience in Medical Device quality system management * Strong understanding of Quality System regulations and standards, including ISO 13485, FDA 21 CFR 820, and IVDR * Experience/knowledge of Supplier Quality Management Processes, auditing, Change Management, Root Cause Analyses, Corrective/Preventive Actions * Experience/knowledge with distribution processes, logistics and supply chain operations * Proven ability to lead and develop high-performing teams and build future technical and people leaders. * Demonstrated success driving Quality and Compliance initiatives that align with business strategy and regulatory expectations. * Excellent collaboration, influence, and communication skills across functional and organizational boundaries. * Strong analytical and problem-solving skills, with experience using data to drive decision-making and improvement. * Experience leading in a matrixed, global organization and managing competing priorities effectively. * Commitment to scientific integrity, compliance excellence, and continuous improvement Preferred: * Desirable certifications include ASQ -CQA, ASQ-CQE, ASQ-SWQE, ASQ-CQM, * Advanced degree (MS, PhD, MBA, or equivalent) in a relevant discipline. * Experience implementing or optimizing global Quality Management Systems (QMS) and digital tools. * Lean Six Sigma, PMP, or similar certification demonstrating process improvement expertise. Internal: Operations, Supply Chain, R&D, Commercial, Regulatory Affairs, and other Quality & Compliance teams globally and regionally External: Suppliers/External Manufacturers: In line with established Quality Agreements ensure partnership with External Partner sites to monitor and improve quality performance The work environment characteristics are representative of a manufacturing, laboratory, or warehouse environment. At QuidelOrtho, our culture is shaped by four core behaviors that guide how we collaborate, make decisions, and support each other and those we serve. The ideal candidate will exhibit these behaviors, as we believe they're essential to how we thrive as a team and achieve meaningful impact: * Thrive Together - Collaborate intentionally, grow as a team * Make It Happen - Focus on priorities, embrace continuous improvement * Commit to Service - Cultivate a service mindset * Embrace Inclusion - Be open and authentic, welcome diverse perspectives Salary range for this position takes into account a wide range of factors including: education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on that facts and circumstances of each case. Salary range for this position is $155,000 to $249,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___. #LI-SP1

We are seeking a highly analytical Quant Investment Strategist / Portfolio Management Associate to join a top performing Credit team of a $100B asset manager. In this role, you will be the primary engine behind the modeling and analytics that drive our portfolio construction and asset allocation. Working directly with the Senior Portfolio Manager (PM), you will leverage advanced quantitative techniques to build and optimize credit portfolios, with a heavy focus on Structured Products (CLOs, ABS, RMBS/CMBS) and Private Credit (Direct Lending, Specialty Finance). You will bridge the gap between complex data architecture and real-world investment execution. Key Responsibilities Portfolio Construction & Optimization • Develop and maintain sophisticated models for Asset Allocation across various credit sub-sectors., • Implement optimization frameworks (e.g., Mean-Variance, Black-Litterman, or Factor-based) tailored for illiquid and structured credit assets., • Build cash flow engines and valuation models for complex Structured Products., • Develop proprietary risk models to capture non-linear risks inherent in private credit and leveraged structures., • Partner directly with the PM to provide data-driven insights for investment committee memos., • Monitor market signals and spread movements to suggest tactical rebalancing opportunities., • Synthesize large datasets of loan-level data to identify structural trends in the private credit landscape. Required • Advanced Degree (Masters or PhD): Required in a STEM field (Mathematics, Physics, Financial Engineering, Computer Science, or Statistics)., • Experience: 3–7 years of professional experience in a quantitative research or portfolio management environment., • Domain Expertise: Demonstrated knowledge of Credit Markets. Experience with Structured Products (CLOs) or Private Credit is highly preferred., • Programming: Expert-level proficiency in Python (NumPy, Pandas, Scikit-learn) or R., • Database/SQL: Ability to manipulate and query large-scale financial datasets., • Optimization: Deep understanding of stochastic calculus, linear algebra, and optimization libraries., • Tools: Familiarity with credit analytical tools (e.g., Intex, Bloomberg, or Moody’s Analytics) is a plus.

The Genomics AI Program Manager will support a Center-wide Initiative at the New York Genome Center (NYGC) focused on advancing the development and application of artificial intelligence and machine learning approaches to genomic interpretation and human disease. The Initiative brings together NYGC faculty, technologists, computational scientists, and external collaborators to develop and apply large-scale AI models that link genomic sequence to cell-type-specific regulation, disease phenotypes, and biological function. The mission of the Genomics AI Initiative is to address key bottlenecks in genomic interpretation by integrating high-throughput sequencing, single-cell and spatial multiomics, perturbation and functional genomics, and modern machine learning approaches. This effort is inherently interdisciplinary and collaborative, requiring close coordination across scientific domains, data production and infrastructure, and external collaborative partners. Position Description The Program Manager will provide coordination and operational leadership across the full range of activities undertaken by the Genomics AI Initiative. This includes day-to-day management of complex, multi-investigator scientific collaborations; coordination of Consortium-wide activities such as working groups, journal clubs, and symposia; development of scientific and programmatic materials; and support for grant and philanthropic proposal development. The Program Manager will play a central role in enabling collaboration across NYGC leadership, faculty, Genomics AI fellows, external collaborators, and commercial partners by tracking scientific progress, facilitating data access and sharing, supporting computational infrastructure planning, and ensuring alignment across teams. This position will report to the Scientific Director & CEO, or an individual designated by the Scientific Director & CEO, and will work closely with the Genomics AI Initiative participants. This role sits at the intersection of genomics, data science, and program coordination and is well-suited for an incumbent adept at working across scientific disciplines and operational functions. Key Responsibilities Genomics AI Program Management * Manage and coordinate the scientific projects and collaborative activities of the Genomics AI Initiative in alignment with the goals and timelines; * Support Genomics AI Initiative leadership in organizing and running working groups, steering committee meetings, journal clubs, workshops, and symposia; * Track scientific objectives, milestones, action items, and dependencies across participating labs and teams, and regularly communicate progress to the Genomics AI Initiative leadership; * Coordinate the development, review, and dissemination of relevant materials, including presentations, reports, white papers, and scientific summaries; * Support development of grant applications, philanthropic proposals, and progress reports in collaboration with faculty, Research Administration, and Development; * Facilitate communication across Genomics AI Initiative participants to ensure alignment, transparency, and efficient collaboration; and * Organize meetings, prepare agendas and briefing materials, record meeting notes, and track follow-up actions. Data, Infrastructure, and Computational Coordination * Coordinate data sharing, access, and staging across NYGC teams and external collaborators, in partnership with Informatics, IT, and Data Engineering groups; * Work with NYGC's compliance officers and DARB to ensure that data usage is compliant and maintain a list of approved datasets as they relate to AI model development; * Serve as a liaison between scientific teams and operational groups to support troubleshooting related to data availability, compute usage, workflows, and analysis pipelines; and * Track dataset access and usage, benchmarking activities, and model development milestones across projects. Genomics AI Initiative Operations and Engagement * Support onboarding and coordination of Genomics AI Fellows and participating researchers; * Support development of inter-institutional workflows and agreements, including data access and use, collaboration, etc.; * Develop and manage annual budgets for Genomics AI Initiative activities and related grant proposals, and monitor expenditures throughout the year to ensure fiscal responsibility and alignment with program priorities; * Assist with planning and execution of scientific events and external engagement activities; * Help maintain strong working relationships among NYGC faculty, fellows, staff, and external partners; and * Contribute to long-term planning for the growth, sustainability, and evaluation of Genomics AI Initiative. Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change. Position Requirements * Advanced degree (PhD, MS, or equivalent) in genomics, computational biology, data science, bioinformatics, or a closely related field; * 2+ years of project or program management experience in a scientific or research environment; * Demonstrated ability to understand and communicate complex scientific concepts across disciplines; * Experience working with large datasets, computational workflows, or data-intensive research programs preferred; * Strong organizational and time management skills, with the ability to manage multiple projects and priorities simultaneously; * Excellent written and verbal communication skills, including experience preparing scientific or technical materials; * Ability to work effectively cross-functionally at all levels, including with faculty, trainees, engineers, administrators and institutional partners; * Comfort operating in a fast-paced, evolving research environment with shifting priorities; * High degree of Initiative, judgment, and attention to detail; and, * Ability to work both independently and collaboratively as part of a team. Don't meet every single requirement? At NYGC, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. * Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes Initiative and is solution-oriented; engages in work with passion and curiosity. * Leader and Manager: Attracts, develops and retains diverse talent to achieve outstanding results; encourages professional development, coaches and regularly communicates expectations and feedback; aligns and inspires efforts toward our mission; translates organizational vision into action; responsibly utilizes NYGC's human and financial resources to ensure organizational and financial health; uses good judgment when making decisions; pushes boundaries and generates new ideas. Work Location This position is based onsite at NYGC on a full time basis. Salary The pay range for this position is $110,000 - 130,000 per year; base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the-art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is not eligible for visa sponsorship This position is not eligible for relocation assistance

Description Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater's media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community. Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. Read our ___ blog to see which problems our engineers are solving. Meltwater's Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers. We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. As a Machine Learning Engineer at Meltwater, you will own machine learning powered features from idea to production, working on systems that operate at massive scale. You should be comfortable with experimentation, collaboration, and real-world impact. What we're looking for: This role is ideal for candidates with a strong foundation in machine learning, data science, or applied research who enjoy experimentation and model-driven problem solving and who want to translate their work into real-world, production systems at scale. You are excited to grow your software engineering and production skills over time, while bringing strong foundations in experimentation, modeling, evaluation, and applied machine learning. Our team is organized over 3 objectives : innovation, research and production. Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products. Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks. Production: We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day. Responsibilities: • Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team., • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems, • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems, • Design, run, and iterate on machine learning experiments to improve model quality and product impact, • Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems, • Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems., • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems, • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems, • You'll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities, • Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring, • Experience building industry-scale user-facing ML/AI/Agentic applications, • Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes), • 2 - 5 years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research., • Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis, • Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems, • Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems, • You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength., • Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java), • Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve, • You are a team-player, self-learner and autonomous, • You will work with a team of passionate people who are always willing to help and learn from others, • You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business, • As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference, • Enjoy flexible paid time off that allows you to have an enhanced work-life balance., • Excellent medical, dental, and vision options, • 401(k) matching, life insurance, commuter benefits, and parental leave plans, • Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters., • Energetic work environment with a hybrid work style, providing the balance you need., • Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. When you'll join: May/June 2026 Our Story At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers aroundthe world to make better business decisions through data. But we can't do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and createsan environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other's successes alongthe way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employees in 50 locations across25 countries around the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Our Team Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. Read our ___ blog to see which problems our engineers are solving. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. As we continue to grow as one QuidelOrtho we are seeking a Program Lead, Digital Informatics QMS Strategy. This Program Lead is responsible for developing, maintaining, and communicating QuidelOrtho' s Quality Management System strategy for Digital Informatics, Software as a Medical Device (SaMD), Artificial Intelligence (AI/ML), and Automation platforms as they pertain to in vitro diagnostic (IVD) products and associated services across all global markets. This role serves as the strategic quality authority for digitalenabled products, ensuring that regulatory, quality, and compliance expectations are proactively embedded into product lifecycle processes, digital delivery models, and organizational ways of working. This position will be onsite in Rochester, NY. * Define and evolve the global QMS strategy for digital health technologies, including SaMD, AI/MLenabled systems, cloudbased platforms, and automated workflows. * Interpret and operationalize global regulatory and standards requirements (e.g., FDA, EU MDR/IVDR, ISO 13485, IEC 62304, ISO 62366, ISO 14971, GxP data integrity) as they apply to digital and informatics solutions. * Partner with R&D, IT, Product Management, Regulatory Affairs, PMO, and Technical Quality to ensure quality by design is embedded throughout the digital product lifecycle. * Establish governance models, procedural frameworks, and decision pathways that enable agile and scalable digital innovation while maintaining regulatory compliance. * Lead riskbased approaches for software lifecycle management, cybersecurity, data governance, AI/ML change control, and algorithm performance monitoring. * Serve as a thought leader and internal consultant on emerging regulatory expectations related to AI/ML, realworld data, automation, and digital transformation. * Perform other work-related duties as assigned. Required: * Bachelors and/or technical degree in Life Sciences, Pharmacy, Engineering, Computer Science, Biomedical Engineering or a related technical discipline. * 8-10 years of progressively responsible experience within a regulated Quality Management System environment, with significant exposure to software, digital health, or informatics solutions. * Demonstrated ability to lead QMS strategy development and influence senior stakeholders across complex, matrixed organizations. * Strong understanding of global regulatory frameworks applicable to digital health, SaMD, AI/ML, and automated systems. * Proven experience applying risk management, design controls, software lifecycle processes, and post market surveillance to digital products. * Ability to translate regulatory and quality requirements into practical, scalable processes that support innovation. * Bias toward action, with a track record of driving execution aligned to organizational strategy. * Excellent written and verbal communication skills, including the ability to represent quality positions to executive leadership. * Strong collaboration skills and the ability to operate effectively across technical, regulatory, and business functions. * Willingness and ability to travel approximately 10-15%. Preferred: * Advanced degree (MS, PhD, or PharmD) strongly preferred. * Experience with AI/ML governance, algorithm change management, or real-world performance monitoring. * Background in cloudbased systems, cybersecurity, data integrity, or regulated automation platforms. * Experience supporting global regulatory inspections involving software or digital health products. Internal: Operations, Supply Chain, R&D, Commercial, Regulatory Affairs, GSO, Quality & Compliance teams globally and regionally. External: Regulatory agencies, Notified Bodies, Contract manufacturers, Suppliers, and service providers. The work environment characteristics are representative of a manufacturing, laboratory, or warehouse environment. No strenuous physical activity. Standard activities include sitting, standing, walking, talking, hearing, and visual work. May include occasional travel for site visits, leadership meetings, or regulatory support. At QuidelOrtho, our culture is shaped by four core behaviors that guide how we collaborate, make decisions, and support each other and those we serve. The ideal candidate will exhibit these behaviors, as we believe they're essential to how we thrive as a team and achieve meaningful impact: * Thrive Together - Collaborate intentionally, grow as a team * Make It Happen - Focus on priorities, embrace continuous improvement * Commit to Service - Cultivate a service mindset * Embrace Inclusion - Be open and authentic, welcome diverse perspectives Salary range for this position takes into account a wide range of factors including: education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on that facts and circumstances of each case. Salary range for this position is $155,000 to $202,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___. #LI-SP1

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: We are seeking a highly motivated and strategic Deputy Editor to join Wiley's Advanced team, serving as Deputy Editor [Environmental Engineering] for our flagship journal, Advanced Science, and contribute to other related Advanced titles. The ideal candidate will be a dedicated Advanced portfolio ambassador with an extensive global network and experience in Environmental Engineering, driving strategic initiatives that bridge groundbreaking research communities and shape how interdisciplinary science is published and shared worldwide. The Deputy Editor actively participates in the peer review process and decision-making for submitted manuscripts while ensuring adoption of best practices and the highest ethical standards in publishing. How you will make an impact: • Develop and execute strategic initiatives to grow Wiley's Advanced Portfolio within Environmental Engineering and the broader environmental sciences globally., • Commission high-quality papers and build collaborative relationships with leading researchers through community engagement to enhance content quality and brand influence., • Collaborate with the global editorial team to manage manuscripts submitted from related subject areas for Advanced Science and the related Advanced journals., • Collaborate closely with other teams to devise and implement brand-enhancing events and initiatives for both short-term and long-term success., • Lead generation and ideas for subject-related products passed on to appropriate colleagues What we look for: • PhD in Environmental Engineering, preferably in the context of carbon capture, climate adaptation, environmental pollution or related areas. Post-doctoral experience would be preferred., • Manuscript handling experience (prescreening, peer review, final decision, appeals and integrity cases)., • Subject-Matter Expertise (academic)., • Strong global network within research communities and proven track record of engaging with top-tier research talents., • Displays high integrity and honesty., • Mindset with ability to identify opportunities and convert strategic visions into actionable plans., • Excellent communication and relationship-building skills with both internal and external stakeholders., • Love to travel (internationally). More about the Job Description: The Deputy Editor is entrusted with the strategic development and execution of initiatives aimed at growing Wiley's Advanced Portfolio within the disciplines of Environmental Engineering and related Environmental Science disciplines. With an extensive global network, the Deputy Editor serves as a dedicated ambassador and advocate for Wiley's Advanced Portfolio in the Environmental Engineering and Sustainability research community. This role is pivotal for the advancement and expansion of a critically important brand, ensuring alignment with and achievement of the company's strategic goals and objectives. The Deputy Editor is tasked with converting strategic visions into actionable plans, identifying and seizing opportunities to meet the targets set for Research Publishing. In close collaboration with the marketing team, they will devise and implement a range of brand-enhancing events and initiatives aimed at both short-term and long-term success. The Deputy Editor will concentrate on enriching the content and elevating the brand profile of Advanced Science, effectively directing excess submissions to relevant clusters within Wiley's Environmental Sciences portfolio. Additionally, the Deputy Editor will help to launch one or more new spin off titles in the relevant subjects. By actively engaging with research communities, the Deputy Editor is committed to commissioning high-quality papers, extending the brand's influence, and forging positive, collaborative relationships with leading researchers. They approach their work with an understanding of the needs of both external and internal stakeholders, driving forward initiatives that connect with top-tier research talents. The Deputy Editor will provide regular updates to the Senior Manager on community engagement efforts and journal development progress. These reports will include evidence of the impact made by the Environmental Engineering initiatives and demonstrate the successful delivery of strategic goals for Wiley's Advanced Portfolio. They will also outline programs and strategies designed to attract and retain authors, as well as to enhance the growth of high-quality content within Advanced Science, across the Advanced portfolio, and the related subject clusters. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Wiley proactively displays target base pay range for United Kingdom, Canada and USA based roles. When applying, please attach your resume/CV to be considered. #LI-YZ1 Job Posting Title: Editor in Chief / Deputy Editor (Environmental Engineering) Location: Beijing, CHN

Placement Type: Temporary Salary: $93-107 Hourly Start Date: Mar 23, 2026 Magnit, a valued partner of Aquent, is seeking talent for a world-renowned technology company at the forefront of innovation. This organization is celebrated for its groundbreaking collaboration products and a fast-paced, user-centric culture. Joining this team means contributing to a mission that values adaptability, proactive problem-solving, and the integration of cutting-edge technologies, including AI, to create exceptional user experiences. Are you a highly skilled and independent Senior UX Researcher ready to make a significant impact on critical product strategy and decision-making? This temporary role offers a unique opportunity to lead moderately complex UX research projects, driving user-centric solutions for widely used collaboration tools. You will be instrumental in shaping the future of user experiences, translating deep customer insights into actionable strategies that directly influence product development and enhance the lives of millions of users. This is your chance to contribute to a high-velocity team that embraces innovation and continuous learning, making a tangible difference from day one. Responsibilities: • Lead and execute moderately complex UX research projects independently, primarily utilizing qualitative methodologies., • Design, conduct, and analyze mixed-methods research, including survey creation and light statistical analysis., • Independently lead customer conversations and engagement programs, integrating feedback directly into the product development lifecycle., • Manage daily research requests and conduct usability studies for specific product features., • Collaborate effectively with cross-functional teams, including engineering, product management, and design, to ensure a unified vision., • Apply AI technologies to research processes to enhance efficiency, scale, and output., • Engage with and manage external vendors for specialized research initiatives., • Formulate strategic insights from research findings, moving beyond tactical inputs to influence long-term product direction., • Conduct programmatic work, organizing participants and aligning insights across various customer programs., • Experiment with and utilize interactive prototypes for user testing and exploration. Qualifications: Must-Have Qualifications: • 4-5 years of dedicated UX research experience; academic experience (PhD/Masters in Computer Science, Cognitive Science, Anthropology, etc.) can contribute to this timeframe., • Predominantly qualitative research expertise with demonstrated comfort and experience in mixed methods (e.g., surveys, light quantitative analysis)., • Proven ability to independently lead customer conversations and strategic research initiatives., • Experience with cross-functional collaboration, working effectively with engineering, product management, and design teams., • Demonstrated interest and experience in applying AI technologies to UX research, including prompt writing., • Proficiency with survey platforms such as Qualtrics., • Familiarity with design and prototyping tools, particularly Figma., • Highly collaborative, adaptable, and flexible to adjust to changing research requests and project velocity., • Strong communication skills for presenting complex research findings and recommendations clearly and persuasively., • Ability to work independently with minimal supervision as a fully-trusted senior team member. Nice-to-Have Qualifications: • Experience with vendor engagement in research., • Background in the tech industry, particularly productivity software or SaaS., • Experience researching for commercial users (small business to large enterprise). About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive. #LI-LORENSAQUENTJOBS

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: At Memorial Sloan Kettering Cancer Center, data drives discovery-and discovery saves lives. We are seeking a dedicated and self-driven Software Engineer to help us design, build, and sustain software systems and analytical pipelines that power groundbreaking cancer genomics, medical imaging, and EHRbased research. In this role, we work closely with Biostatistics faculty and scientific teams whose research directly informs clinical decisionmaking and improves patient outcomes. Together, we are building robust, productionquality software that enables advanced analysis of some of the most complex and impactful biomedical datasets in cancer research. This role is ideal for someone who thrives at the intersection of rigorous engineering and scientific discovery-someone who enjoys turning challenging analytical questions into reliable, maintainable, and reproducible software solutions. Through this work, we shape the computational foundation that supports MSK's mission to transform cancer care through research. Role Overview: • Design, implement, and maintain software systems and data pipelines supporting realworld cancer genomics, medical imaging, and EHR data, • Collaborate with interdisciplinary teams to translate analytical and research requirements into reliable, production-quality software, • Develop tools and services for data ingestion, validation, transformation, storage, and access, ensuring performance and data integrity, • Implement and carry out standard methodologies in software engineering, including version control, testing, documentation., • Optimize systems for performance, scalability, and reliability across large and heterogeneous datasets, • Communicate technical designs, trade-offs, and implementation details clearly to both technical and scientific collaborators, • Contribute to open-source or internal software libraries, platform documentation, and long-term architectural planning Key Qualifications: • PhD in a computational science discipline or master's degree with 2+ years of relevant experience, • Experience working with statistical and machine learning methods applied to genomics and/or imaging data, • Familiarity with data storage and management systems, including SQL and NoSQL databases, object storage, data lakes, and data warehouses, • Familiarity with common genomics and imaging data formats and standards (e.g., BAM, VCF, DICOM, OMETIFF), • Proficiency in one or more programming languages commonly used in dataintensive systems (e.g., Python, R) Core Skills: • Strong statistical thinking and analytical reasoning skills, • Strong software engineering foundations with an emphasis on code quality, testing, and maintainability, • Passion for building reliable, scalable, and wellengineered software for scientific and clinical applications, • Ability to work effectively in highly collaborative, multidisciplinary environments, • Comfort operating in a fastpaced, researchdriven setting and navigating complex technical challenges, • Commitment to reproducibility, robustness, and engineering best practices, • Resilience and creativity in addressing technical setbacks and complex problem spaces Additional Information: • Schedule: Monday - Friday, 37.5 hrs., onsite, • Location: 633 Third Avenue, NYC, • Reporting to: Biostatistics Service Leader Helpful Links: #LI-POST Pay Range: $100,600.00 - $161,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Neurological Institute The Department of Neurology seeks an outstanding occupational therapist to participate in studies of movement recovery using spinal stimulation, under the supervision of Jason Carmel, MD, PhD, a neurologist and movement neuroscientist, and Katherine Dimitropolou, OT, PhD, an occupational therapist and movement neuroscientist. We seek to understand how electrical stimulation alters the sensorimotor system in individuals with spinal cord injury The research is conducted at Columbia University Medical Center, which houses the medical school and biomedical graduate programs. The team includes faculty members from several Departments, including Neurology, Engineering, and Neurosurgery The successful candidate will work with members of the Movement Recovery Laboratory and the Weinberg Cerebral Palsy Center. There will also be frequent interactions with engineers, clinicians, and neuroscientists who pursue similar studies in people undergoing spine surgery and in laboratory animals Responsibilities • Perform baseline assessments and help participants choose functional goals, • Provide hand therapy on an intensive basis, up to 40 hours in a 20-25 day period, • Learn to apply spinal cord stimulation during therapy sessions, • Participate in team research meetings, • Prepare data and figures for presentations and papers, • Conduct analyses of treatment fidelity Minimum Qualifications • Bachelor's degree or equivalent in education and experience, plus three years of related experience, • Experience with hand therapy in various clinical populations, including spinal cord injury, • Familiarity with dexterity assessments and experience with patient evaluation, • Strong analytical skills, critical thinking, and the ability to communicate clearly, • Candidates should demonstrate aptitude and interest in working with research participants and within a team of scientists and clinicians Columbia University is committed to the hiring of qualified local residents.

Columbia Business School is seeking to hire one or more Staff Associates of research for the accounting division. The work will include quantitative and qualitative research and analysis involving the collection, coordination and management of information and data. This position provides an opportunity to gain experience in academic economics research and would be ideal preparation for a PhD program in accounting, finance, economics, or other related fields. This is a two-year position with a possible extension for a third year. The Staff Associate duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics. Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation., • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.)., • Perform statistical analysis, including regression analysis and machine learning techniques., • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, web sites, and other research outlets., • Perform case-based research, including work with detailed primary documents. Applicants for Staff Associate position are expected to have the following: • Programming experience in STATA and/or SAS and/or R is required., • Additional programming experience in one or more of the following languages: Python, SQL, Matlab, and/or C++ is preferred., • Familiarity with statistical tools such as linear regression is required., • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred., • Candidate must be organized and able to work on multiple projects simultaneously., • Up to two years of research experience in a research role as a research assistant during the academic year or a summer internship in a research lab or governmental institution. Columbia University is an Equal Opportunity/Affirmative Action employer. Women and minorities are especially encouraged to apply. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Morningside The Assistant Director of Graduate Academic Advising supports the academic success and overall experience of Columbia Engineering graduate students. The role enhances advising capacity across master's and doctoral programs, with added emphasis on master's level support. It focuses on providing academic policy guidance, supporting partnership and dual-degree programs, and coordinating responses to student concerns. In addition to advising master's students, the position contributes to selected doctoral processes and assists with routine doctoral student-related inquiries. The Assistant Director works closely with departments and campus partners to ensure students receive consistent information, timely assistance, and a clear path toward degree completion. Responsibilities Graduate Student Advising (50%): Advises graduate students, with an emphasis on MS students, on various aspects of their studies, including school-level degree requirements, academic policies, and procedures. Meets with students individually, responds to their inquiries, and connects them to resources as appropriate. Advises students interested in or enrolled in the school's various MS specializations, such as the Advanced Master's Research specialization. Supports student advising needs for partnership and dual-degree programs, coordinating requirements, documentation, and routine communications with students. Coordinates onboarding and support for incoming partnership and dual-degree program students, including orientation materials and transition guidance. Serves as an advisor for designated Columbia Engineering MS programs, including but not limited to MBAxMS and the MS in AI program. Tracks and provides guidance to students on curriculum requirements, registration issues, and academic planning. Refers students to their respective faculty advisors and Career Placement Officers to address electives, career-related questions, and other issues. Serves as a liaison with Columbia Engineering departments in supporting all aspects of student affairs to ensure student success. Assists with escalated student cases from Columbia Engineering departments on complex academic policy issues, providing high-touch support and case management. Collaborates with other schools, offices, and departments (GSAS, ISSO, Registrar, Health Services, Student Financial Services, and Columbia Residential) on student cases as needed. Maintains a very high level of knowledge of school academic policies and procedures. Attends, assists, and presents at new-student orientation, relevant school-level or program-specific meetings and events, and other events throughout the year. Tracks, assesses, and reports on student data. Identifies students who are not meeting satisfactory academic progress. Recognizes and advises on trends in advising cohorts. Graduate Student Affairs (30%): Assists in monitoring and tracking MS and doctoral students' degree progress, registration status, academic standing, and changes in status. Identifies students who are not meeting satisfactory academic progress. Provides support and coordinates with department student affairs officers on academic plans for students who require monitoring or intervention. Identifies trends on a larger scale and works to address them through school policy and at the program level. Serves on the Engineering Student Affairs graduate student on-call team, providing crisis intervention for graduate students experiencing difficulty. Responsible for engaging with the student/s and then connecting the student to the appropriate resources for further engagement. Assists with responding to urgent situations. Supports key onboarding, orientation, and professional development programs for doctoral students, including Engineer Your PhD (EYP), Three Minute Thesis (3MT), and PhD Connect. Partners with other Engineering Student Affairs teams, including Student Life and Professional Development and Leadership (PDL) teams, to innovate programming to meet evolving student needs. Assists with partnership and dual-degree program student recruitment efforts, such as but not limited to open house events and yield programming. Liaises with admitted students to address admissions, academics, and registration inquiries. Graduate Academic Affairs (15%): Reviews graduation clearances for MS and MPhil degree levels. Maintains advising resources, program guides, and communication templates for both MS and doctoral audiences. Supports departmental outreach by sending reminders about upcoming deadlines, policy changes, and required actions. Additional duties as assigned (5%) Minimum Qualifications • A bachelor's degree and or its equivalent., • A minimum of 2-3 years of related experience is required., • Understand student and academic affairs opportunities and challenges affecting constituents, comprising a diverse population, both domestic and international., • Ability to represent the Program and School professionally at events., • Demonstrated ability to take initiative and work independently, accepting responsibility and accountability for assignments, within a team environment., • Ability to balance multiple tasks with competing deadlines, demonstrated ability to pay strict attention to detail, and exercise discretion in handling confidential information., • Experience working in a team environment, and the ability to work independently., • The ability to interpret and apply standards and the ability to communicate complex policies and procedures to students, faculty, staff, and other stakeholders., • Strong technical competency is required; demonstrate an understanding and appreciation of student services database software and online resources, and the willingness and enthusiasm to respond to students' needs in an increasingly technologically dynamic society., • Proficiency with Google suite of products, MS Office (Excel with pivot tables, vlookup), PowerPoint, publishing software, social media, etc., • Ability to analyze and work with a large volume of student, course, and other types of data., • Must be willing to work on occasional evenings and weekends, on a needed basis, especially when on-call and student crises arise., • Possess excellent interpersonal and administrative skills., • Ability to work independently and under pressure, with a high level of attention to detail., • Candidate must exercise good judgment and flexibility., • Must be able to prioritize multiple tasks with minimal supervision., • Must be able to communicate effectively and tactfully with staff, faculty, students, employers, and alumni in small and large group settings., • Must be able to exercise good judgment, diplomacy, and flexibility, with a student-wellness mindset., • Graduate-level work is preferred., • Knowledge of advising and counseling techniques., • Knowledge of University-specific computer application programs and pertinent databases. Columbia University is committed to the hiring of qualified local residents.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them. Core Qualifications • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders., • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Title: Adjunct Instructor ( Computer Science ) Department: Computer Science Reports To: Chair Position Type: Faculty Position Summary: The Department of Computer Science at New Jersey Institute of Technology (NJIT) seeks candidates to fill an Adjunct professor positions. Candidates are expected to teach one or two introductory programming courses and advanced courses in support of our undergraduate and graduate programs. NJIT has recently expanded its graduate programs to Jersey City, just across the Hudson River from the financial district of Lower Manhattan in New York City, where it serves the many working professionals in that region. Instructional staff are expected to teach at this site as needed. Essential Functions: The successful candidate will be expected to teach undergraduate and graduate courses as well as create course content and materials. Prerequisite Qualifications: Successful candidates must have an MS degree in Computer Science or a related area (a PhD degree is preferred). Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience. Knowledge in computer science pedagogy is a plus. Preferred Qualifications: Strong written, oral and interpersonal skills are required in order to communicate effectively with students in person and online. The formal education and experience prerequisites may be waived at the university's discretion if the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the rate for this position is $2668 per contact hour (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Exempt Part-Time Apply NowShare Save Job

Columbia University's School of Engineering and Applied Science (SEAS) and the Climate School (CCS) invite applications for a jointly appointed, tenured, chaired, full professor position in energy storage and electrochemical systems. This is a senior faculty role representing a strategic institutional commitment to problems that really make a difference at large scales. We seek an exceptional scholar and leader with demonstrated expertise in electrochemical systems, energy storage technologies, and pathways to real-world implementation and impact. The successful candidate will bridge rigorous fundamental research with systems-level climate solutions, connecting molecular design to global impact modeling. They also will be expected to work across disciplines, bringing together diverse fields of knowledge to address the complexities of the energy transition. This position offers unique opportunities to engage with Columbia's comprehensive energy research ecosystem, from atomic-scale characterization and multiscale modeling to grid-level systems integration. The successful candidate will establish an externally-funded research program addressing critical technical barriers to advancing energy storage technologies toward commercial viability and climate-relevant scale. They will integrate their work within Columbia's existing multiscale research ecosystem, collaborate across engineering and climate disciplines, and contribute to advancing technologies competitive on economic merit, balancing scientific discovery with commercial relevance. As a Full Professor with tenure, the candidate must hold a PhD in Earth and Environmental Engineering, Mechanical Engineering, Chemical Engineering, Materials Science and Engineering, Electrical Engineering, or a related field, and demonstrate: * Outstanding research accomplishments in electrochemical systems, energy storage, or closely related areas with a demonstrated path to implementation and real-world impact * Expertise spanning multiple scales, from molecular/materials design through device engineering to systems-level deployment, with demonstrated success addressing materials, process, or systems-level barriers. * Practical innovation perspective, with consideration of manufacturability, cost, and scalability as core design constraints * Track record of collaboration from university to industry, technology translation, building an academic team, and connecting to commercial relevance * Established leadership in their field, as evidenced by publications, citations, research funding, and recognition * Excellence in teaching at both undergraduate and graduate levels * Commitment to multidisciplinary collaboration across academic departments and institutional units This position is intentionally structured to maximize flexibility and attract an exceptional candidate. The appointment will be a tenured position with SEAS home department placement and a joint appointment in the Climate School, with tenure contingent upon successful completion of the Columbia tenure process. The placement of the home department in one of the 9 academic departments of SEAS will be determined in close collaboration with the candidate based on their research focus and departmental fit within the school. Additional joint appointments in SEAS departments may also be possible. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Radiology at Columbia University has research teams applying advanced imaging AI and clinical data science, as well as quantitative disease modeling to address pressing challenges in health outcomes and policy. Dr. Kang's research laboratory is focused in personalized testing pathways, translation of diagnostic innovations, and cancer screening. We develop predictive models, simulation frameworks, and AI-driven analytic tools to inform screening, prevention, and treatment strategies. Dr. Kang is a physician scientist and leader in cancer simulation modeling working with multiple collaborative teams across the university. Duties and responsibilities: Position Benefits • Direct involvement in high-impact healthcare and precision medicine studies, particularly in cancer early detection, screening, and treatment modeling., • Publication opportunities., • Mentorship and career development support from Columbia faculty. We are seeking a highly quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in translating quantitative methods to impactful problems in healthcare and population health. The position offers: • Independent research opportunities in AI-driven prediction modeling, statistical methods, and clinical/public health applications., • Collaborative leadership, including mentoring junior analysts and working closely with a diverse team of clinicians, data scientists, and engineers., • Clear academic trajectory, with potential for transition to a faculty position through NIH/NSF career development grants., • Doctoral degree (PhD) in a quantitative field: computer science, data science, bioinformatics, statistics, applied math, biomedical engineering, physics, or related discipline., • Proficiency in programming and data science tools (Python, R, C++, or equivalent)., • Strong statistical and machine learning background, with ability to develop and evaluate prediction models., • Excellent critical thinking, communication, and team leadership skills. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The College of Dental Medicine invites candidates to apply for a position as Postdoctoral Research Scientist in the Regenerative Engineering Laboratory under the direction of Dr. Chang H. Lee. The Regenerative Engineering Laboratory, directed by Dr. Chang H. Lee, is a part of the Center for Dental and Craniofacial Research (CDCR) in the College of Dental Medicine. CDCR contains over 4000-sq feet of space, including state-of-art research facilities, and serves as an inter-campus hub for interdisciplinary collaboration. The Lee Lab has a long-lasting, active collaboration with the Department of Orthopedic Surgery and the Department of Biomedical Engineering. The candidate will have an opportunity to investigate multi-tissue crosstalk and the effect of patient specific pathophysiological factors in joint tissue disease, injury and regeneration. Self-motivated individuals with PhD in Mechanical Engineering or Biomedical Engineering with Organ-On-a-Chip expertise are encouraged to apply. PhD with at least five years of wet lab research experience in a related field. Candidates should demonstrate excellent scientific vigor, critical thinking, written and oral communication skills, and the ability to work independently and collaboratively in a multidisciplinary team. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Columbia Center on Sustainable Investment (CCSI) is seeking an Associate Research Scholar to advance its applied research, policy, and advisory work on integrated energy systems planning and finance. This role sits at the frontier of a rapidly evolving and increasingly integrated energy sector, where electrification, digitalization, e-mobility, urbanization, and emerging-market growth are transforming the operational logic and investment requirements of energy systems around the world. The position will engage directly with these dynamics, examining how system design, planning, and investment frameworks can optimize the integration of digital and physical infrastructure to support climate and development goals. This position will support the design and implementation of system-level strategies for low-carbon, affordable, and resilient energy transitions linking generation, grid infrastructure, and emerging load centers such as industrial corridors, data hubs, and clean-fuel value chains. This will include contributions to the development of integrated modelling frameworks, investment and financing roadmaps, and institutional and regulatory strategies that enable countries and regions to achieve net-zero, competitive, and inclusive growth. The position will bridge technical systems analysis with institutional and financial innovation to translate scenario-modelling outputs into investible transition pathways aligned with emerging global norms in climate finance, industrial policy, and digital infrastructure. This is a highly interdisciplinary position spanning energy systems analysis, sustainable finance, and public policy, and requires intellectual curiosity, creativity, and a pragmatic commitment to translating research into actionable solutions. This role will initially contribute to CCSI's work under the ASEAN Regional Integrated Energy System (ARIES) project, supporting the design of regional pathways, financing frameworks, and institutional mechanisms for coordinated energy system transformation across Southeast Asia. Key Responsibilities The Associate Research Scholar will contribute to CCSI's research and advisory initiatives through a combination of the following responsibilities, depending on evolving program needs and the individual's expertise: • Conduct interdisciplinary research on the planning, optimization, and financing of integrated energy systems, including cross-border grids, clean fuels, storage, and emerging industrial and digital loads., • Contribute to the design, development, and interpretation of energy system and macroeconomic models to identify least-cost and net-zero-consistent transition pathways, and to link those results / modelling outputs to investment and financing requirements., • Support the development of advanced multi-vector modelling frameworks that couple energy, water, and digital infrastructure, drawing on the latest approaches in integrated systems planning, electrotech deployment, and demand flexibility., • Analyze policy, regulatory, and market design options that enhance the affordability, security, and sustainability of energy systems across borders and sectors., • Support the development of financing and investment frameworks, including analysis of risk allocation, blended finance instruments, guarantees, sovereign and sub-sovereign borrowing, export credit agency (ECA) participation, and credit rating methodologies relevant to large-scale clean energy and infrastructure investment., • Conduct or contribute to research on cost-of-capital determinants, capital market access for emerging economies, and the design of mechanisms that can lower financing costs for public and private actors., • Explore and assess the role of regional and national financial institutions, development banks, and catalytic funds in mobilizing investment for integrated energy systems., • Engage with governments, regional institutions, utilities, development banks, investors, ECAs, and rating agencies to co-develop practical strategies for affordable and scalable financing of energy transitions., • Organize and facilitate consultations, workshops, and training programs to strengthen institutional and financial capacity for integrated system planning and implementation., • Collaborate on multi-stakeholder projects that bridge technical modeling, institutional reform, and financial innovation, including national and regional roadmaps for energy system transformation., • Draft and co-author research papers, policy briefs, roadmaps, and reports, synthesizing technical, financial, and institutional insights into clear and actionable recommendations., • Contribute to strategic outreach, communication, and knowledge-sharing efforts, ensuring that CCSI's research informs policy dialogues on sustainable infrastructure, energy integration, and reform of global financial architecture. The most important quality for this position is the ability and desire to think ambitiously, creatively, and pragmatically, and to bridge disciplines in pursuit of actionable, system-level solutions. Ideal candidates are self-motivated, intellectually curious, and collaborative, able to connect technical, financial, and policy insights into coherent strategies that shape real-world outcomes. In addition, the following minimum qualifications are required: • PhD, SJD, JD, LLM, or Master's degree with significant research experience in one or more of the following fields: energy systems, economics, sustainable finance, engineering, law, or public policy., • Demonstrated ability to conduct and synthesize interdisciplinary research across technical, economic, and institutional dimensions., • Strong analytical and writing skills, with the ability to translate complex concepts into actionable recommendations., • Familiarity with energy systems modeling, infrastructure planning, industrial decarbonization, or climate finance mechanisms (e.g., blended finance, guarantees, or sovereign credit structures)., • Demonstrated understanding of macroeconomic and systems-level implications of the current power and digital infrastructure nexus, • Experience working with or advising governments, utilities, multilateral institutions, or investors on energy, infrastructure, or finance issues., • Willingness to learn, adapt, and engage across diverse disciplines and stakeholder groups., • Regional experience in emerging markets preferred. Ultimately, the role contributes to a new generation of energy-system scholarship and practice that links digital transformation, electrification, and climate finance into coherent investment strategies. The Associate Research Scholar will engage with partners across government, industry, and finance to align technical insights with the institutional and capital architectures required for real-economy transitions that are affordable and effective. The search will remain open for at least 30 days after the advertisement appears and will continue until the position is filled. Appointments are made on a fiscal year basis and are eligible for renewal each July 1, contingent upon performance and funding. Columbia University benefits accompany this Officer of Reserch appointment. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Radiology at the Columbia Unviersity Vagelos College of Physicians and Surgeons invites applications for a faculty position as Director of Molecular Imaging Research. This leadership role is open across all academic ranks, with the potential for a tenure-track appointment based on the candidate's qualifications and career trajectory. Candidates from diverse backgrounds-including radiochemistry, molecular imaging science, and related fields-are encouraged to apply. Salary range is 150,000 to 350,000. Salary and academic rank will be commensurate with qualifications and experience. Columbia University offers a competitive benefits package, including tuition reimbursement, tuition exemption for faculty pursuing advanced degrees, retirement plans, and ample time off for vacation and CME. We seek an innovative and collaborative leader with expertise in molecular imaging to further develop and expand our research and translational activities. Our ideal candidate has a proven record of research excellence in molecular imaging, radiopharmaceutical development, or related disciplines. A strong publication record, experience in grant funding, and demonstrated leadership in academic settings are highly desirable. Excellent communication skills are equally important. Program Highlights Columbia's Molecular Imaging Program features a world-class ___, including two cyclotrons supporting [13N], [15O] target production and dual-target capabilities for [11C] and [18F] isotopes. The program is equipped with three state-of-the-art PET scanners for both clinical and preclinical applications and has a robust infrastructure for isotope production, tracer development, and advanced imaging protocols. Strong industry partnerships provide exciting opportunities for innovation and collaboration in imaging sciences. Responsibilities The Director of Molecular Imaging Research will lead the Molecular Imaging Program, fostering multidisciplinary research and collaboration across Columbia University and its affiliates. Key responsibilities include: • Developing and sustaining an independent and/or collaborative research program in molecular imaging, radiochemistry, or translational imaging, • Overseeing and expanding radiopharmaceutical development and PET imaging capabilities, • Developing and implementing a strategic plan to ensure leadership in PET chemistry/synthesis, • Leveraging the program's cyclotron infrastructure to advance isotope production for clinical and research applications, • Establishing partnerships within the Herbert Irving Comprehensive Cancer Center (HICCC), the Department of Biomedical Engineering, the Department of Biomedical Informatics, the Irving Institute for Clinical and Translational Research and other departments and centers across Columbia, • Promoting collaborations with industry and funding agencies to drive innovation in molecular imaging, • Teaching and mentoring students, residents, fellows, and postdoctoral researchers, • Contributing to the Department's clinical and translational imaging initiatives, • Collaboratively overseeing PET scanning research operations, including scanner utilization for research across Columbia University Irving Medical Center Education and Experience: • Strong communication skills and ability to collaborate with faculty and staff, including technologists, researchers, and clinical scientists. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Columbia University Irving Medical Center's Department of Neurology invites applications for a full-time, Assistant Professor to develop a, translational research program focused on molecular mechanisms of neurodegeneration. We seek an investigator whose work centers on endolysosomal/endosomal trafficking, neuroinflammation, and therapeutic approaches (e.g., AAV-based gene therapy, small-molecule or peptide modulators). The successful candidate will hold a medical and/or research doctoral degree, will be expected to establish an externally funded laboratory, mentor trainees, and contribute to departmental teaching and collaborative translational initiatives at and outside CUIMC (strong interactions with the proteomics, transcriptomics imaging and iPSC/core facilities encouraged). Responsibilities Establish and lead an innovative research program investigating endolysosomal/endosomal dysfunction and neuron-glia interactions in Alzheimer's disease, Parkinson's disease, FTD and related disorders. Secure extramural funding (NIH, foundation, industry partnerships) to support a sustainable research program; prepare and submit competitive grant applications. Design and oversee experiments using genetic mouse models, AAV and other gene-delivery platforms, iPSC-derived neuronal models, proteomics, and single-cell transcriptomics as appropriate. Translate basic research findings toward therapeutic strategies (e.g., vector engineering, non-invasive delivery methods, small molecule/peptide modulators) and manage collaborations with translational/industry partners. Publish high-quality manuscripts and present results at national/international meetings; participate in patenting and technology-translation activities where appropriate. Mentor and supervise graduate students, postdoctoral fellows, research staff, and trainees; contribute to the Department's graduate and medical student teaching program and to recruitment/training efforts. Collaborate across departments and centers (imaging, proteomics, immunology, iPSC cores) and engage in departmental service (committees, seminars, outreach). MD, PhD, MD/PhD, or equivalent doctoral degree with postdoctoral research experience in neuroscience, cell biology, neurodegeneration, or a strongly related field. Demonstrated research focus on endolysosomal/endosomal trafficking, retromer biology, neuroinflammation, or closely related mechanisms in neurodegenerative disease as evidenced by publications and project leadership. Experience with gene-delivery approaches (AAV or other viral vectors) and molecular/genetic model systems (mouse models, iPSC models) or closely related technical expertise. Track record of peer-reviewed publications in respected journals demonstrating independent productivity. Preferred Qualifications Competitive record of extramural funding or clear potential to obtain NIH/federal, foundation, or industry support (examples include roles on NIH/NIA grants, program projects, foundation awards). Experience translating basic discoveries toward therapeutic strategies (gene therapy, vector engineering, small-molecule or peptide therapeutics) and prior industry or multi-disciplinary collaborations. Patents or technology-transfer experience related to endolysosomal modulation, viral constructs, or related therapeutics. Strong leadership in mentoring and demonstrated success training students and postdocs; enthusiasm for curriculum development and graduate/medical education. Evidence of mentoring or supervision of trainees (students, postdocs, research staff etc.). Ability and willingness to teach and participate in departmental service. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) - Develop advanced probabilistic and causal generative frameworks linking molecular to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) - Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) - Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and data efficiency. Decision Making/Autonomy (10%) - Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and interpretability. Communication Skills (10%) - Present findings at internal symposia and external conferences; co-author manuscripts; write high-quality documentation and technical reports. Mentorship/Leadership (5%) - Mentor junior engineers and research assistants; provide guidance on causal inference methods and AI-in-loop experimentation. B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications • Substantial expertise in training deep learning models and tuning large foundation models., • Expertise with developing efficient data loaders for large datasets and optimizing training workflows., • Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching architectures, • Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks, • Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras • M.S. or graduate-level degree in relevant field, • Experience with single-cell and spatial genomic or imaging data, and multimodal integration, • Expertise in statistical causal discovery and inference, • Publications or open-source contributions in generative models, • Strong interest in applications and driving impact in cancer biology and immunology 6+ years of experience in software engineering including: 3+ yrs hands-on experience training generative AI or large-language models at scale 2+ years experience with statistical or generative modeling Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Title: University Lecturer Department: Computer Science Reports To: Chair, Computer Science Position Type: Faculty Position Summary: The Department of Computer Science at New Jersey Institute of Technology (NJIT) seeks candidates to fill a University Lecturer position. Candidates are expected to teach introductory programming courses and advanced courses in support of our undergraduate and graduate programs. The successful candidate will also be involved in creating course content and materials with a focus on hands-on experiential and project-based learning. Essential Functions: The successful candidate will be expected to: -Teach undergraduate and graduate courses. -Create course content and materials. Prerequisite Qualifications: -Successful candidates must have an MS degree in Computer Science or a related area (a PhD degree is preferred). -Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience. Knowledge in computer science pedagogy is a plus. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Strong written, oral and interpersonal skills are required in order to communicate effectively with students in person and online. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the starting salary for this position is $65,000.00-$80,000.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Special Instructions to Applicants: -NJIT has recently expanded its graduate programs to Jersey City, just across the Hudson River from the financial district of Lower Manhattan in New York City, where it serves the many working professionals in that region. Instructional staff are expected to teach at this site as needed. Apply NowShare Save Job

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Reporting to the Executive Director, Development and Strategic Initiatives, the Fu Foundation School of Engineering and Applied Science (SEAS) on the Columbia Engineering Development and Alumni Relations Team (EDAR), the Director, Development and Industry Partnerships holds a robust portfolio with a primary focus on graduate level (MS and PhD) alumni and industry and corporate partners, including undergraduate alumni, parents and friends of Columbia with the capacity to make six- to eight-figure gifts. The incumbent is responsible for building a portfolio of individual, corporate and foundation relationships with a primary focus on graduate level alumni. They will design and develop solicitation strategies and proposals, solicit and close gifts, and continually steward, discover, and cultivate donors. The incumbent is a collaborative team player who will also work closely with the Dean, the Vice Dean for Development and Alumni Relations, EDAR, SEAS Offices of Strategic Research, Collaborations and Industry Innovations, and partners at Columbia University Office of Alumni Relations and Development (OAD) to identify priorities and execute our fundraising goals. They will serve as the primary point for EDAR working with SEAS faculty who are raising gifts to support their labs. This is a cross functional role requiring a holistic view and strategic program management. The incumbent must have effective writing and presentation skills and be a persuasive advocate for Engineering priorities. As a member of the Engineering Development and Alumni Relations team, they raise money for School priorities. Responsibilities Build, manage, and solicit a portfolio of major gifts, corporate and foundation gifts. • Responsible for conducting 150 personal visits over 12 months to cultivate, solicit, steward, and close gifts, in addition to cold calls., • Manage an active portfolio of 150 prospects, ensuring consistent follow-up and relationship building to enhance continued and increased support., • Manage and build a portfolio of SEAS graduate alumni, build and support the portfolio of corporate and foundation relationships, and secure gifts for research centers, SPA and other grants. It is important for the Director to collaborate and partner with SEAS Offices of Strategic Research, Centers Operations, Collaborations and Industry Innovations, and with individual Faculty who are working on gifts to their labs., • Must have demonstrated success in achieving fundraising goals and managing high-level donor relationships., • Prepares written solicitation materials, proposals, talking points, and briefings tailored to individual donors and prospects to unlock personal philanthropy, as well as corporate and foundation gifts., • Actively seek opportunities through alumni and faculty networks., • Serves as a partner within EDAR and OAD to help other fundraisers leverage alumni donors' roles in industry as founders, members of the c-suite or research leads to unlock additional funding outside of individual philanthropic gifts. Work with colleagues in Corporate and Foundation Relations at the University level., • Directly solicit or support 25 annual gifts of $10k+ each year., • Partner with units across the University, including the Engineering Office for Research and Engineering Industry Innovations, where philanthropic giving plays a crucial role in establishing a research Center or cluster, or other complex project., • This includes advising or seeking appropriate guidance on distinguishing gifts from grants or sponsored research; drafting gift agreements; coordinating internal review processes and in some cases, facilitating gift agreement negotiations between donors and Gift Strategy; working with colleagues within departments, Finance, and other relevant teams to ensure gifts are set-up, received, and processed as needed., • Establishing best practices for complex corporate gifts., • Builds internal relationships with administrators and faculty across the School and campus to understand School and University priorities. Attends related meetings, • Participate in regular team meetings to evaluate progress and adjust strategies as needed, • Serve as the primary liaison between the Engineering Development team and department administrators and faculty involved in the gifts process. Draft gift agreements, coordinate internal reviews of agreements and other related materials, and when needed facilitate negotiations among donors, industry partners, and Gift Strategy. Collaborate with departments, Finance, and other teams to ensure gifts are properly set up, received, and processed. Provide updates and guidance on development processes and serve as a resource for department assistants and faculty on development-related questions., • Serve as a liaison between relevant teams and EDAR regarding outreach and communications with alumni, donors, and prospects, ensuring coordination that reflects and balances existing relationships., • Lead training sessions for School colleagues to promote understanding of development processes and procedures as needed., • Support donor/volunteer boards as needed, including planning and leading meetings and recruiting new members., • The Columbia Engineering Board of Visitors (BOV) includes a number of dedicated and engaged industry leaders. They work in committees and advisory groups. The incumbent may manage and help develop the committee on Industry Partnerships to advance the priorities of the School in partnership with the Senior Director, Industry Innovations and Director of Strategic Collaborations. Organize two-four committee meetings per year; work with the Dean and Vice Dean of Engineering to set strategic priorities for this committee. Minimum Qualifications • A bachelor's degree is required., • A minimum of five (5) to seven (7) years of experience demonstrating success in all phases of cultivating, soliciting, and stewarding gifts from individuals, corporations, and foundations or a demonstrated ability to establish long-term relationships with constituents., • Experience with volunteer management, programming and events; or related experience is required., • Excellent writing and communication skills, tact, sensitivity and mature judgment are required., • Must be professional, organized, creative and efficient, able to work successfully, both individually and as part of a team., • Demonstrates a spirit of mutual support and excitement for Columbia and embodies collaborative problem-solving across complex organizational structures., • An advanced degree is desirable., • Experience with Columbia University structure and cultures strongly preferred as is successful experience staffing senior institutional leaders., • Five to seven years in fundraising, corporate/industry related or related transferable experience preferred, with demonstrated success fundraising giving or applicable ability., • Experience with higher education., • Having an intellectual interest in engineering, technology and STEM would be helpful., • This position requires evening and weekend work and travel as necessary. Columbia University is committed to the hiring of qualified local residents.

THE OPPORTUNITY This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Instructor is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science center's working together with one of the nation's premier health systems, New York-Presbyterian Hospital. KEY RESPONSIBILITIES Columbia University College of Physicians and Surgeons and New York-Presbyterian Hospital are recruiting for a full-time academic pediatric faculty member in the Division of Pediatric Hematology, Oncology, and Stem Cell Transplantation at the Instructor level on the non-tenure track. This position will be focused on laboratory-based research related to gene therapy for both malignant and non-malignant disorders. The successful candidate will have the opportunity to collaborate with the outstanding clinical and research faculty within the division and at the Columbia University Irving Medical Center, the NCI-designated Herbert Irving Comprehensive Cancer Center, the Mailman School of Public Health, and the Columbia Initiative in Cell Engineering and Therapy (CICET). Founded in 1959, The Division of Pediatric Hematology, Oncology, and Stem Cell Transplant at Columbia Children's Health, New York-Presbyterian Morgan Stanley Children's Hospital (MSCH) is one of the oldest and most comprehensive centers in the country focused on treating children with cancer and blood disorders. MSCH has 202 inpatient pediatric beds, including a 54-bed Pediatric Intensive Care Unit and 10 operating rooms. Our division is currently composed of 3 sections (Hematology, Oncology and Stem Cell Transplantation) with 21 full-time faculty, 4 research RN/NP's, 8 clinical research associates, and 3 regulatory specialists and includes an ACGME-accredited Fellowship Program and a FACT-accredited stem cell transplant program. The division is one of 21 institutions to serve as a core sire of the Children's Oncology Group Pediatric Early Phase Clinical Trials Network (PEP-CTN). It is also a member of the Therapeutic Advances in Childhood Leukemia and Lymphoma (TACL) Consortium. Research Responsibilities Laboratory-based research efforts will focus on the molecular biology of gene therapy for malignant and non-malignant diseases with the goal of include establishing a platform for tracking clonal expansion and monitoring transgene integration and expression in gene therapy trials, as well as participating in the development of novel strategies for the treatment of globin disorders. Research projects will be conducted under the mentorship of senior investigators at CUIMC and CICET, including Drs. Michel Sadelain (who will provide direct oversight and supervision of research projects), Max Mamonkin and Markus Mapara. It is expected that 80% effort will be devoted to laboratory-based research activities. Clinical Responsibilities Clinical responsibilities will include serving as attending physician on the inpatient stem cell transplantation service and providing outpatient care to children, adolescents and young adults who have undergone stem cell transplantation. In addition, the successful candidate will be expected to attend and participate in clinical stem cell transplantation meetings, as well as divisional and departmental clinical conferences. It is expected that 20% effort will be devoted to clinical activities. COMPENSATION Compensation arrangements are competitive and commensurate with both experience and achievement. COMMITMENT OF DIVERSITY Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. • Must have an MD, DO or PhD degree and an active NYS Medical License., • Must be Board certified/eligible in Pediatric Hematology/Oncology or an equivalent board certification with experience in the care of pediatric stem cell transplant patients, • Laboratory experience related to the field of gene therapy and/or cell therapy., • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Columbia Business School is seeking to hire a Staff Associate of research for the Decision, Risk, and Operations (DRO) Division. The work will include quantitative and qualitative research and analysis involving the collection, coordination, and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.) and work on special projects relating to pertinent fields of research within the division. This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as operations research, operations management, statistics, and economics; and it would be ideal preparation for a PhD program or other graduate study. The Staff Associate duties involve work in one or more of the following areas of research: Economics and Statistics. Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation., • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.)., • Perform statistical analysis, including regression analysis and machine learning techniques., • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets., • Perform case-based research, including work with detailed primary documents. Bachelor's degree in Economics or Finance or in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Data Science, etc. • At least 6 months of experience in a research role or as a research assistant., • Programming experience in STATA is required. Strong preference for those who also know Python or R., • Additional programming experience in one or more of the following languages: SQL, SAS, Matlab, and/or C is preferred., • Familiarity with statistical tooks such as linear regression is required., • Demonstrated exceptional written and oral communications skills needed - a writing sample is required., • Expertise in processing large volumes of data and algorithm design expertise., • Experience in market design applications preferred., • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred., • Candidate must be able to work on multiple projects simultaneously. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for a limited-term Assistant Professor faculty position in the area of applied and computational mathematics. The position begins July 1, 2026 for a term of 3 years. Salary is competitive and the teaching load is relatively light. Basic responsibilities focus on teaching, research and service. A recent PhD earned in the last 3 years and no later than the start date of the appointment, and extraordinary promise in research, are both required. A broad array of research groups is active in the department, with current research encompassing applied and computational mathematics, and their application to many areas of physics, materials science, biology, earth science, as well as imaging and data science. There is a strong cohort of activities on applied and computational mathematics within the Fu Foundation School of Engineering and Applied Sciences and the affiliated Data Science Institute. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Earth and Environmental Engineering (EEE) at Columbia University in the City of New York invites applications for a Lecturer in Discipline or Senior Lecturer in Discipline position beginning January 1, 2026. Lecturers in Discipline are full-time, non-tenure-track faculty members responsible for teaching. EEE is committed to hiring outstanding educators to support the growing needs of its rapidly expanding BS and MS degree programs. The incumbent will contribute to the Department's academic mission, with particular emphasis on the MS program, including teaching, admissions, recruiting, and advising. The typical teaching load for lecturers is six courses per year. EEE may partially reduce this requirement if the candidate is suited to managing the MS program (from recruitment through advising). Teaching is the primary focus of this instructional appointment. Experience in teaching courses on foundational aspects of environmental engineering, industrial ecology, and carbon management will be preferred. Candidates must have a PhD or its professional equivalent by the starting date of the appointment. Candidates at the rank of Lecturer in Discipline are expected to have teaching experience, documented evidence of pedagogical excellence, and evidence of professional growth and activity in the given field. Candidates at the rank of Senior Lecturer in Discipline are expected to have substantial experience and accomplishments, a superlative record of teaching as a lecturer, and documented evidence of pedagogical excellence in carrying out administrative or other department responsibilities. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Radiology at the Columbia University Vagelos College of Physicians and Surgeons invites applications for a faculty position as MRI Scientist within the Center for Advanced Diagnostic Research (CADRe). This position is open at all academic ranks, with the potential for a tenure-track appointment depending on the candidate's qualifications and career trajectory. This role is designed for a PhD-level scientist with expertise in magnetic resonance imaging who will contribute to and expand CADRe's mission through collaborative leadership in MRI sequence development, optimization, selection, and clinical-translational research. The MRI Scientist will work closely with radiologists, engineers, physicists, and clinical investigators to advance innovative MRI methodologies and their application in human studies. Salary and academic rank will be commensurate with experience and qualifications. Columbia University offers a highly competitive benefits package. Program Highlights CADRe is a multidisciplinary research center within Columbia Radiology focused on advancing imaging science, data-driven methodologies, and translational innovation. The center supports a broad portfolio of research spanning MRI physics, pulse sequence development, quantitative imaging, image reconstruction, AI-enabled analysis, and clinical validation. Columbia Radiology provides access to state-of-the-art MRI infrastructure across multiple clinical and research platforms, supporting close integration between technical development and clinical investigation at NewYork-Presbyterian Hospital and across CUIMC. Responsibilities -The MRI Scientist will be expected to: • Develop and sustain an independent and/or collaborative research program in MRI science, quantitative imaging, or related translational methodologies., • Provide scientific leadership in collaborative settings for MRI pulse sequence development, optimization, and selection in support of research and clinical studies within CADRe., • Partner with radiologists, clinicians, engineers, and medical physicists to design and implement human MRI research protocols, including early-phase and proof-of-concept studies., • Contribute to the advancement of novel MRI techniques, including quantitative MRI, advanced contrasts, accelerated imaging, and multimodal integration., • Support the translation of MRI innovations from technical development to clinical and population-based research applications., • Collaborate with CADRe investigators on grant development, including multiinvestigator and center-level proposals., • Publish high-impact, peer-reviewed research and present findings at national and international scientific meetings., • Participate in teaching and mentoring of graduate students, postdoctoral fellows, residents, and junior faculty., • Contribute to departmental and institutional research initiatives, working in close coordination with CADRe leadership, • PhD in Biomedical Engineering, Medical Physics, Electrical Engineering, Physics, or a closely related field. * Demonstrated expertise in MRI physics, pulse sequence development, or quantitative MRI methods., • Strong record of peer-reviewed publications., • Experience conducting or supporting human MRI research., • Experience with clinical-translational MRI studies and protocol development., • Familiarity with MRI reconstruction techniques, image analysis, or data science approaches., • Track record of extramural research funding or participation in funded collaborative projects. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Morningside The Employer Relations Manager is the member of the Graduate Career Placement (GCP) team responsible for developing new employer partnerships and managing existing relationships with employers that are likely to hire Columbia Engineering students/new graduates and leading special projects that strengthen Columbia Engineering's capacity to facilitate the placement of all MS and PhD students. In close collaboration with Graduate Career Placement, Career Placement Officers (CPOs), and the Professional Development and Leadership (PDL) team, the incumbent will:(1) cultivate and maintain school-level employer relationships; (2) manage the execution of signature GCP programs including the Executive in Residence program, career fairs, and exclusive recruitment programs; (3) expand relationships and programming with alumni; (4) coach students on how to secure positions and support their professional development. Responsibilities Manage School Level Employer and Hiring Alumni Relationships (50%): • Forge new employer relationships to facilitate the placement of Engineering graduate students., • Coordinate and execute new employer outreach plan and communication strategy., • Cultivate relationships with and develop hiring strategies for all school-level employers., • Source employers and industry experts to serve as instructors for the PDL course., • Manage employer-facing systems including onboarding employers and sourcing job opportunities for graduate engineering students., • Develop and expand relationships with alumni to facilitate hiring of graduate students., • Fully plan and execute the Executive in Residence program in close partnership with the Office of Alumni & Development., • Organize signature recruitment events with employers including career fairs, on-campus interviews, and exclusive employer hiring partnerships., • Collaborate with Career Placement Officers on relevant placement initiatives., • Support the execution of our Professional Development and leadership course., • Support signature student affairs activities including Welcome Day, Graduate Engineers Connect, graduation ceremonies, and other school-wide initiatives for engineering students. Qualifications A bachelor degree and or equivalent. Graduate-level work is preferred. Minimum of 2-4 years of related higher education, career education, professional, campus recruitment, related engineering industry experience, development, or human resources experience required. Strong computer literacy/proficiency required: an understanding and appreciation of student services database software and on-line resources, and the willingness and enthusiasm to respond to the needs of students in an increasingly technologically-oriented society. Proficiency with Google suite of products, MS office, publishing software, social media, etc. Data analysis and data visualization skills: candidate need to be comfortable with analyzing and work with large volumes of student and employer data. Possess excellent interpersonal and administrative skills. Ability to work independently and under pressure, with high level of attention to detail. Candidate must exercise good judgment and flexibility. Must be able to prioritize multiple tasks with minimal supervision. Must be able to communicate effectively and tactfully with staff, faculty, students, employers, and alumni in small and large group settings. Excellent command of English (verbal and written). Must be willing to work on occasional evenings and weekends, on a need basis. Positive, mission-oriented, forward-thinking attitude and sense of humor a must. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Position Summary The Califano lab, in the Department of Systems Biology at Columbia University, is seeking exceptionally qualified candidates for a Postdoctoral Research Scientist position in the laboratory. Successful candidates will possess extensive expertise in wet-lab experimentation and advanced single-cell and spatial multi-omics technologies and will participate in highly competitive research programs aimed at producing innovative, high-impact publications. The ideal candidate will have outstanding scientific credentials, including first-author publications in leading journals and presentations at major international conferences relevant to single-cell biology, spatial genomics, systems immunology, cancer biology, stem cell biology, or related fields. We are particularly interested in candidates with demonstrated expertise in the development and application of spatially resolved and single-cell technologies, including spatial transcriptomics, spatial ATAC-seq, multiplexed spatial proteomics, CITE-seq, Perturb-seq, CROP-seq, CRISPR-based perturbation systems, and advanced single-cell library preparation and profiling methods. Candidates with strong backgrounds in immunology, cancer biology, stem cell biology, molecular and cellular biology, epigenetics, genetics, biomedical engineering, biochemistry, or related disciplines will be especially well suited. Experience integrating multimodal datasets-including transcriptomic, epigenomic and proteomic modalities-to define regulatory programs and cellular states within intact tissue architecture is highly desirable. Integration of quantitative analysis, high-throughput experimentation, and technology development is a hallmark of our department and laboratory. Accordingly, the Postdoctoral Research Scientist will: • Develop and apply cutting-edge spatial and single-cell multi-omics technologies to interrogate regulatory and signaling networks in complex tissue ecosystems., • Define cell-state transitions and regulatory circuits in physiologic and pathophysiologic contexts with current focus on cancer., • Design and implement CRISPR-based perturbation strategies (CRISPR, CRISPRi/a) to functionally test regulatory hypotheses derived from systems-level inference., • Integrate genomic, epigenomic, and proteomic datasets to elucidate molecular determinants of cellular phenotypes and their spatial organization., • Develop new methodological and computationally informed frameworks for dissecting regulatory logic and signaling network architecture within tissues. The successful candidate will be expected to thrive in a highly collegial and collaborative environment, mentor junior trainees, contribute to consortium-scale and multi-institutional projects, and participate in the preparation of fellowship and grant applications. Strong communication and scientific writing skills are essential. Our laboratory has an outstanding record of training and career placement, with former members advancing to academic faculty positions (including leadership roles) and senior positions in biotechnology and pharmaceutical industries. Minimum Qualifications • PhD in molecular biology, immunology, cancer biology, genetics, epigenetics, stem cell biology, biomedical engineering, biochemistry, or a related field., • Demonstrated record of first-author publications in peer-reviewed journals., • Expertise in spatial transcriptomics, spatial ATAC-seq, multiplexed proteomic imaging, and multimodal data integration., • Experience with CRISPR-mediated gene editing, perturbation screening (including single-cell CRISPR-based approaches), and gene regulatory analysis., • Familiarity with regulatory and signaling network modeling and systems biology frameworks., • Experience working with complex in vivo models and/or primary human tissues. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Radiology at CUIMC includes over 100 full-time faculty and performs more than 800,000 imaging studies annually. Columbia is home to an exceptional installed base of state-of-the-art MRI systems, enabling groundbreaking clinical and research opportunities. Faculty have access to robust infrastructure and resources to support academic growth, research innovation, and professional development. Columbia University Irving Medical Center (CUIMC) and its partner institution, NewYork-Presbyterian Hospital, are internationally recognized for their excellence in clinical care, research, and education. Columbia's vibrant academic environment provides unparalleled opportunities for interdisciplinary collaboration with world-class scientists and access to one of the most exciting cities in the world. The Department of Radiology at the Vagelos College of Physicians and Surgeons, Columbia University, invites applications for a faculty position as Director, MRI Research. This position is open across all ranks, with an option for a tenure-track appointment based on the candidate's qualifications and research trajectory. We are seeking a visionary leader with expertise in MRI research to advance innovation in biomedical imaging science at Columbia University. Areas of focus may include, but are not limited to: • Advanced MRI acquisition and reconstruction methods,, • Quantitative imaging biomarker development,, • Functional and structural MRI innovations,, • Multi-modal imaging integration,, • Machine learning and artificial intelligence applications in MRI,, • Novel MRI hardware and protocol development, Responsibilities The Director of MRI Research will lead a cutting-edge research program and contribute to collaborative academic initiatives. Responsibilities include: • Developing and sustaining an independent and/or collaborative research program,, • Leveraging Columbia University's world-class installed base of state-of-the-art MRI systems, which includes advanced clinical and research scanners,, • Partnering with industry leaders to drive technological and translational advancements in MRI,, • Collaborating with departments and schools across Columbia University, including Biomedical Engineering, Biomedical Informatics, Public Health, and the Herbert Irving Comprehensive Cancer Center (HICCC),, • Utilizing Columbia's advanced informatics infrastructure for biomedical imaging, electronic health records, and multi-omics data integration,, • Teaching and mentoring students, residents, fellows, and postdoctoral researchers, Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Responsibilities: The Computational Biomarker Imaging Group (CBIG) has an open postdoctoral positions. CBIG's mission is to act as a translational catalyst between computational science and cancer imaging research. Work in our group focuses on developing innovative image analysis, machine learning, AI and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications. Most of our work to date has been on breast and lung cancer imaging, while more recently expanding more broadly in oncologic imaging and molecular imaging applications. A priority area is integrating imaging with genomic biomarkers towards integrated precision diagnostics for prevention and therapy for cancer. Applications focusing on radiomics and deep learning are also a priority. We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary research team. Salary range is from $75,000 - $85,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Experience with Bioinformatics is a plus. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C ) is essential. Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) and related statistical methods and software packages (e.g., ITK C/C libraries, R/SPSS) is desired (but not necessary). Experience with Deep Learning is also ideal (e.g., TensorFlow, Keras, PyTorch packages, etc.). Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

We are inviting applications for an Associate Research Scientist position in energy storage, emphasizing advanced lithium metal battery technology. The project aims to develop high-performance electrolytes and anodes for lithium metal batteries. The successful candidate will work in a multidisciplinary team of senior and junior scientists in materials science. The position is available immediately and will remain open until it is filled. Applicants should send a CV and a list of reference, and a cover letter summarizing the candidate's past experiences and future goals. Applications should be submitted through the Academic Search and Recruiting (ASR) system on the Columbia University portal. Candidates must have a PhD in materials science, chemistry, chemical engineering and relevant disciplines. Experience in battery chemistry and manufacturing is preferred, but not required. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Title: Part-time- Hourly Data Analyst Department: Biomedical Engineering Reports To: Assistant Professor Position Type: Staff Position Summary: Are you a passionate and ambitious individual with a strong background in biomedical engineering? Join our dynamic and cutting-edge Biomedical Engineering Department as a data analyst in spring semester! We are seeking passionate individuals with a drive for scientific exploration and a desire to make a meaningful impact on the field. This is an exceptional opportunity to work alongside world-class researchers and contribute to groundbreaking advancements in biomedical engineering at New Jersey Institute of Technology (NJIT) and Stanford University. Essential Functions: -Collaborate with faculty and researchers to design and execute experiments in microbiology, bacterial pathogenesis, optics, and materials science. -Innovate healthcare solutions using engineering principles, with experience in in vivo mouse models. -Analyze experimental data, contributing to research publications. -Support the supervision and mentorship of undergraduate students. -Participate in grant writing and contribute to the academic community. Prerequisite Qualifications: -Hold MD, MD/PhD or PhD degree in Biomedical Engineering, Microbiology, or a related field such as Human health, Chemistry, Material Sciences, Biosciences, and Biomedical physics. -Strong academic record and research background -Demonstrated proficiency in experimental design, data analysis, and scientific writing. -Excellent communication and interpersonal skills. -Flexible with working in both Stanford University and NJIT. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly range for this position is $35.00-$40.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Application Requirements: -Curriculum vitae (CV) highligh1ng your academic background, research experience, and relevant skills. -Cover letter expressing your interest in biomedical engineering and explaining why you are a strong candidate for this position. -Contact information for two or more academic references. -Copies of your academic transcripts. -Writing samples showcasing your scientific writing abilities, such as published papers or technical reports. -To apply, please email your application materials to with the subject line "Hourly Data Analyst- Biomedical Engineering Department." -Applications will be reviewed on a rolling basis, so early submission is encouraged. -Note: Only shortlisted candidates will be contacted for interviews. We are an equal opportunity employer and encourage applica1ons from individuals of diverse backgrounds and experiences. Apply NowShare Save Job

Columbia Business School seeks a Staff Associate III for The Tamer Institute for Social Enterprise and Climate to manage research focused on decarbonization technologies and policies of carbon-intensive industries, the power sector, transport, and buildings, as well as conduct independent industry and policy analyses, as part of the Climate Knowledge Initiative (CKI). Research topics include, but are not limited to renewables, nuclear fission & fusion, green liquid fuels, long-term grid storage, decarbonization of steel & cement, transport infrastructure, air capture technologies, and food supply chains. CKI aims to build an innovative online platform that maps the full landscape of emissions sources, abatement technologies, economic sectors, and policy scenarios, and then arms business leaders with the tools and research-backed insights to invest in implementing solutions whose long-term benefits outweigh their short-term costs. The position will leverage linkages between other areas of ongoing work across Columbia, including the Fu Foundation School of Engineering and Applied Science, the School for International and Public Affairs, and the Columbia Climate School. The position will engage at a high level with key stakeholders. Minimum Qualifications: • Bachelor's Degree in relevant field (science, engineering, public policy, economics, international affairs, political science, etc.), • At least 4-6 years of combined professional, research and/or graduate-level (master's/PhD) education experience that includes some combination of the following topics: the power sector, electricity markets, renewable energy, natural gas, energy infrastructure development, energy investment, energy markets, energy policy, energy justice, the energy sector, and/or climate policy., • Verbal communication skills as well as excellent writing, editing and numerical skills., • Master's Degree or Ph.D. in relevant field (science, engineering, public policy, economics, international affairs, political science, etc.), • Experience in developing and utilizing quantitative tools and qualitative methods for policy and/or technical analysis, • Publication record that includes a combination of peer-reviewed journal, research reports, issue briefs, op-eds, and other outputs, • Strong language skills, including proficiency in one or more languages in addition to English Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. The Chandarlapaty lab is comprised of a multidisciplinary team investigating the basis for therapeutic response and resistance in breast cancer. *A postdoctoral research position is opening to specifically study the mechanisms underlying the response of homologous recombination deficient (HRD) breast cancers to endocrine therapies • The project will involve development and validation of high-fidelity models of endocrine-responsive HRD breast cancer using advanced genome engineering approaches of both 2D and 3D culture systems, as well as molecular and functional assays related to DNA damage and repair and endocrine therapy response and resistance., • The successful candidate will be required to work in collaboration with other members of the laboratory as well as several clinical and translational teams with shared interests., • Position is supported by funding from the National Cancer Institute and the Breast Cancer Research Foundation Key Requirements: * PhD in cancer biology, genetics, cell biology, or pharmacology. * Track record of publication in areas of cancer biology, genetics, cell biology, or pharmacology. * Demonstrated ability to design, execute and interpret experiments independently. * Ability to work collaboratively in a multidisciplinary team environment. Application Requirements Core Skills: * Strong expertise with mammalian cell culture and genetic manipulation * Demonstrated expertise in CRISPR/Cas9 genome editing * Solid background in molecular biology techniques (PCR, western blot, sequencing based validation) * Experience with organoid culture or other 3D model systems preferred * Bioinformatics experience for analysis of sequencing or functional genomics data preferred * Interest in translational research and collaboration with clinical teams Application Instructions Submit C.V., letter of interest, and references in your application submission to:Sarat Chandarlapaty, MD, PhD Pay Range: $72,000 - $96,405 Helpful links: Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Skills and Experience: Bachelor's degree in electrical engineering 15 years of experience (if MA/MS, 12 years of experience, if PhD, 10 years of experience) Be a leading subject matter expert in the electrical engineering field Working knowledge of Altium & SolidWorks Ability to resolve complex issu

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35, • Standard Work Schedule: Columbia University Information Technology (CUIT) and Columbia Business School (CBS) seek a senior technology leader to serve CBS. Reporting jointly to CUIT's Chief Information Officer & CBS's Chief Operating Officer, the Executive Director will be a key member of both the CUIT and CBS administrative leadership teams. The Executive Director will ensure that technological capabilities support academic excellence, research innovation, and operational effectiveness across CBS. The role is responsible for ensuring reliable frontline IT services, aligning procurement and vendor management practices with University standards while optimizing efficiency, strengthening project and innovation delivery capabilities, and ensuring effective use of University enterprise infrastructure and platforms. At its core, this role requires a technologist with strong interpersonal and leadership skills who can engage faculty, administrators, and technical teams to drive solutions that meet the needs of the CBS's constituents while leveraging the broader capabilities of the University. The successful candidate will bring strong technical credibility, operational discipline, and the ability to lead in a complex shared governance environment while partnering closely with faculty, administrators, and central technology teams. For over a century, Columbia Business School has helped develop leaders and builders of enterprises who drive value for their stakeholders and society at large through our MBA, MS, PhD, and Executive Education programs. CBS is equally committed to cultivating new scholars and teachers, and to creating and disseminating pathbreaking knowledge, concepts, and tools which advance the understanding and practice of management through our faculty research and PhD programs. Our vision is simple: to develop ideas and leaders that transform the world - from the very center of business. Our ever-evolving curriculum, featuring pioneering courses, STEM certification, and immersive experiential learning, prepares students to excel in key areas such as digital transformation, entrepreneurship, and innovation, twenty-first century finance, the intersection of business and society, and climate and sustainability. Columbia University Information Technology (CUIT) provides the technological framework for one of the world's leading research institutions, providing the essential infrastructure and innovative solutions that empower students, faculty, and staff to excel. Committed to delivering a robust, secure, and agile environment that supports the University's mission of teaching, research, and patient care, CUIT manages a comprehensive portfolio ranging from high-performance computing and global networking to enterprise-scale applications and cybersecurity. As the University's central IT partner, CUIT prioritizes the integration of emerging technologies-including artificial intelligence, advanced data analytics, and cloud-based collaboration-to streamline operations and provide seamless, transformative services that act as a catalyst for academic and administrative excellence. Through strategic alignment and a culture of service excellence, CUIT effectively bridges the gap between complex technical requirements and the human-centered goals of the Columbia community, ensuring the University is equipped to solve the challenges of the twenty-first century. Responsibilities Technology Strategy and Leadership • Develops and executes a multi-year technology strategy aligned with School priorities and University direction. Define and communicate a clear technology roadmap with measurable outcomes., • Serves as a trusted advisor to the University CIO, CBS COO, and faculty leadership., • Recruits, develops, and retains high performing technology talent, strategy, institutional platforms, and emerging capabilities., • Leads and coordinates technology resources supporting CBS, ensuring the right balance between local expertise and University provided services. Foster a culture of accountability, transparency, and service orientation. Strengthen management capability within client services and technical teams., • Ensures alignment between School initiatives and University enterprise platforms. Maximizes effective partnerships around centrally provided services, helping CBS take full advantage of institutional capabilities while meeting its specific operational and shared services. Represents CBS's academic needs., • Enables application development and integration capabilities that support rapid implementation of solutions aligned with School priorities., • Supports the delivery of high impact tools across the student lifecycle and administrative domains. Ensures deep technical expertise while ensuring integration with University systems., • Promotes sound engineering practices, integration architecture, and data governance., • Strengthens and professionalizes client service operations supporting the CBS., • Drives standard operating practices that improve consistency, transparency, and scalability of service delivery., • Coordinates with CUIT service teams to ensure reliable support structures, clear communication channels, and appropriate use of enterprise services., • Drives service delivery using agreed-upon service metrics and accountability standards., • Rationalizes the School's core technology stack in partnership with University IT., • Partners with the School's Financial Planning Office, CUIT's Vendor Management Office, and Central Procurement to ensure reporting needs are met and that technology purchasing and usage align with School and University financial practices., • Oversees research computing resources and strategy supporting CBS's faculty and research initiatives., • Evaluates the sustainability of local computing infrastructure, including hardware lifecycle management and capital investment considerations., • Develops cloud strategy in partnership with CUIT, including workload placement, credit management, and vendor relationships., • Bachelor's degree required., • Minimum of 8+ years of information technology experience., • Significant senior leadership experience in information technology within higher education or similarly complex institutions., • Demonstrated success operating in environments that include both centralized and decentralized technology capabilities., • Deep technical understanding of enterprise systems, application development, cloud infrastructure, and data governance., • Proven ability to strengthen service operations and implement scalable processes., • Experience balancing innovation with institutional compliance, security, and risk management requirements., • 10+ years of of progressively responsible related experience, including senior leadership experience., • Experience in a professional school environment., • Familiarity with research computing environments and regulated data domains., • Track record of building digital innovation capacity. Columbia University is committed to the hiring of qualified local residents.

The Department of Radiology at the Columbia University Vagelos College of Physicians and Surgeons invites applications for a Director of PET and Molecular Imaging Instrumentation. This leadership role is intended for a PhD-level scientist with deep expertise in molecular imaging and translational human imaging research. The Director of PET and Molecular Imaging Instrumentation will provide scientific vision and leadership for human PET and SPECT imaging research, with a strong emphasis on molecular imaging, theranostics, and first-in-human investigations. The successful candidate will play a central role in advancing innovation, integration, and collaborative research across the CUIMC enterprise. Program Highlights Columbia's Molecular Imaging Program features a world-class PET Center, including two cyclotrons supporting [13N], [15O] target production and dual-target capabilities for [11C] and [18F] isotopes. The program is equipped with three state-of-the-art PET scanners for both clinical and preclinical applications and has a robust infrastructure for isotope production, tracer development, and advanced imaging protocols. Strong industry partnerships provide exciting opportunities for innovation and collaboration in imaging sciences. Responsibilities The Director of PET/SPECT Imaging will be expected to: • Provide scientific and strategic leadership for PET and SPECT imaging research involving human subjects., • Develop, lead, and sustain an independent and/or collaborative research program in molecular imaging, theranostics, or related translational imaging sciences., • Oversee and advance first-in-human and early-phase clinical imaging studies, including novel radiotracers and imaging methodologies., • Collaborate closely with radiochemistry, medical physics, and clinical teams to translate novel imaging agents and technologies from preclinical development to human application., • Define and implement a strategic vision for PET/SPECT imaging innovation, including quantitative imaging, dosimetry, image reconstruction, and multimodality integration (PET/CT, PET/MR, SPECT/CT)., • Collaboratively support PET/SPECT research operations, including protocol development, scanner utilization, and optimization of imaging performance., • Contribute to regulatory and compliance activities related to human imaging research (e.g., IRB, IND/IDE, radiation safety), in partnership with departmental and institutional offices., • Establish and strengthen collaborations across CUIMC, including with the Herbert Irving Comprehensive Cancer Center, Biomedical Engineering, Biomedical Informatics, Neurology, Radiation Oncology, and the Irving Institute for Clinical and Translational Research., • Promote partnerships with industry, funding agencies, and external academic institutions to accelerate innovation and translation. * Publish high-impact, peer-reviewed research and present findings at national and international scientific meetings., • Teach and mentor graduate students, postdoctoral fellows, residents, and junior faculty, contributing to the department's educational mission Qualifications Required • PhD in Medical Physics, Biomedical Engineering, Radiological Sciences, Chemistry, Physics, or a closely related field., • Demonstrated expertise in PET and/or SPECT imaging, molecular imaging science, and quantitative imaging methodologies., • Strong record of peer-reviewed publications., • Experience conducting or supporting human imaging research., • Demonstrated ability to work collaboratively in a multidisciplinary academic environment. Preferred, • Experience in theranostics, radiopharmaceutical development, or translational molecular imaging., • Track record of extramural research funding as Principal Investigator or key collaborator., • Prior leadership or program development experience in an academic imaging environment., • Familiarity with regulatory pathways for human imaging studies (IRB, IND/IDE, radiation safety). Salary Salary range is $430,000 - $550,000. Columbia offers a generous benefits package. Salary will be commensurate with experience and qualifications. Columbia University offers a highly competitive benefits package. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm. KPMG is currently seeking a Tax Manager or Senior Manager to join our ___ practice. • Conduct research and development (R&D) tax credit consulting and project management, • Manage R&D tax credit studies and related activities, • Develop and sustain excellent client relationships during delivery of R&D tax credit services, • Provide R&D tax credit quality assurance, engagement reviewer and exam support, • Perform engagement management activities including billing analysis, invoicing, and engagement setup, • Engage in an active role in new business development, including add-on business, • Assist other R&D Project Managers with the delivery of engagements as needed, including research and writing regarding technical issues, • Minimum five years of recent experience conducting and managing R&D tax credit consulting projects in a large accounting firm, corporation, or law firm, • Bachelor's degree from an accredited college/university, • Licensed CPA, JD/LLM or completion of an advanced degree or professional certification/designation including: MBA (Masters of Business Administration), MCM (Masters of Construction Management), PHDE (PhD of Economics), PHE (Doctor of Engineering), ME (Masters of Engineering), MSRE (Masters of Science-Real Estate), AIA (Member, Amer Inst of Architects), Enrolled Agent, LEED (Leadership, Energy & Environmental Design) Certification, PE (Professional Engineer), or SIX SGMA (Six Sigma) Certification, in addition to others on KPMG's approved credential listing; any individual who does not possess at least one of the approved designations/credentials when their employment commences, has one year from their date of hire to obtain at least one of the approved designations/credentials; should you like to see the complete list of currently approved designations/credentials for the hiring practice/service line, your recruiter can provide you with that list, • Solid verbal and written communications skills with the ability to evaluate and articulate complex information; proficient in the use of Microsoft Word, Excel and Access and use of the internet, • Experience managing multiple client engagements and client service teams, • Minimum eight years of experience in federal income taxes within a public accounting firm or corporation KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Director to join our ___ practice. Responsibilities : • Serving as a key advisor, identify and direct enterprise-wide strategy projects and oversee execution of related deliverables in the Healthcare and/or Life Sciences market, • Help lead business development initiatives focused on Strategy including targeting key C- level individuals, proposing KPMGs services and closing opportunities, • Lead cross-functional teams in developing and implementing strategic roadmaps, manage key engagement interviews, research and facilitate workshops, • Act as the primary team interface with various levels of client executives up to and including C-Level, • Manage the presentation of final project deliverables and advise persuasively, earning the position of a trusted advisor, • Minimum eight years of consulting experience in a client-facing strategy discipline at a major strategy, boutique strategy or Big 4 firm, with a focus on the Healthcare and/or Life Sciences industry, • Bachelor's degree from an accredited college or university, preferably in Biology, Chemistry, Biochemistry, Biomedical Engineering, or related field; Graduate degree in a Healthcare or Life Sciences discipline such as MA, MSc, MPH, PhD or MD, or a Masters degree in Business or Healthcare Administration from an accredited college or university is highly preferred, • Deep industry knowledge and experience in consulting for Healthcare or Life Sciences sub-sectors, including pharmaceuticals, diagnostics, biotech and medical devices and/or Healthcare services (such as payer/provider), with experience directing consulting teams in this sector, • Proven experience of articulating and advising on the strategic value of new technology, digital, or operational solutions with significant experience in supply chain, transaction and business due diligence, operational and performance improvement, strategic growth, or other relevant strategy experience, • Strong strategic business acumen with analytical and problem-solving skills and ability to understand how business model decisions impact operating model design and execution across operations, technology and organizational design, • Willingness and ability to travel California Salary Range: $185000 - $385800 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The ___ contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.