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The Senior Manager of Data Science & Analytics supporting hematology is responsible for developing data-driven insights to inform commercial strategy, brand planning, and operational effectiveness. This role requires hands-on data analysis and close collaboration with cross-functional teams to ensure data is leveraged to support business-critical decisions for Adcetris and Elrexfio. The Senior Manager will manage various data assets, including claims, sales, and specialty pharmacy data, and will work across oncology commercial analytics and commercial teams to integrate insights into the franchise’s strategic direction. This position will report to the Senior Director of Data Science & Analytics within Pfizer’s Oncology Commercial Analytics team. Key Responsibilities: Data Analysis and Insights Generation • Advanced Analytics: Develop and implement advanced analytics models, using techniques such as machine learning, predictive modeling, and statistical analytics, to drive insights into customer behavior, market trends, and product performance., • Secondary Data Analysis: Leverage multiple external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights that address strategic business questions. Data Management and Governance • Data Asset Management: Partner with Commercial Information Management and data governance teams to ensure the proper stewardship of data, including the integration of new data assets to enhance decision-making., • Data Quality and Consistency: Ensure the quality, accuracy, and timeliness of data used for analysis by collaborating with IT, Marketing, and other cross-functional teams to maintain clean and reliable datasets., • Data Sourcing: Collaborate with the Director of Oncology Data Enablement to identify and assess relevant commercial data sources (e.g., Komodo Health, IQVIA, Symphony) that can be integrated into analytics projects to improve insights and decision-making capabilities. Targeting and Segmentation • Customer Segmentation: Apply advanced data science techniques to develop customer segmentation strategies that optimize targeting and resource allocation for marketing and sales teams., • Engagement Optimization: Analyze customer behavior and market data to develop insights that enhance engagement strategies and drive commercial success. Brand Performance and Market Insights • National-Level Reporting: Develop and maintain national-level brand performance reports, providing detailed insights into market trends, competitive dynamics, and product performance., • Launch Support: Provide analytical support during product launches, including competitive intelligence, market analysis, and performance tracking to ensure successful market entry., • Operational and Market Effectiveness: Analyze data to inform operational effectiveness and market performance, providing insights that optimize marketing strategies and sales operations., • Reporting and Dashboards: Create and manage executive-level reports and dashboards, ensuring that key performance indicators (KPIs), market trends, and insights are effectively communicated to decision-makers. Cross-Functional Collaboration & Stakeholder Engagement • Cross-Functional Partnership: Work closely with other teams (e.g., Marketing, Market Research Insights, Forecasting, Finance) to integrate data insights into broader strategic initiatives and support decision-making., • Stakeholder Communication: Present complex analytical insights to senior leadership, translating data into clear and actionable recommendations that support business-critical decisions. Innovation and Continuous Improvement • Process Improvement: Continuously identify opportunities to improve data analytics methodologies, processes, and tools to enhance the efficiency and accuracy of insights., • Emerging Trends: Stay current with industry trends and emerging data science techniques, incorporating innovative approaches into data analysis to drive better business outcomes. Vendor and Resource Management • Vendor Collaboration: Manage relationships with external vendors and data providers, ensuring timely delivery of high-quality data and insights that meet the franchise’s needs., • Budget and Resource Allocation: Collaborate with Data Science & Analytics leadership to manage budgets and allocate resources effectively to support franchise data science and analytics efforts. Basic Qualifications: • Education: Bachelor’s degree in data science, analytics, mathematics, biological or physical sciences, statistics, business, or a related field., • Experience: Minimum of 6+ years of experience in data science, analytics, or commercial operations, with at least 5+ years in the pharmaceutical or biopharmaceutical industry. Post-graduate education can substitute for a portion of the work experience requirement., • Technical Skills: Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI)., • Cross-Functional Experience: Experience working with cross-functional teams, including marketing, sales, and IT, to integrate data insights into commercial strategies. Preferred Qualifications: • Oncology Expertise: Experience working in oncology, with a deep understanding of market dynamics, customer behavior, and competitive trends in the oncology space., • Technical Skills: Experience with machine learning and predictive modeling techniques is highly desirable., • Advanced Degree: MBA or advanced degree in a related field is preferred. Skills and Competencies: • Analytical Mindset: Strong analytical and problem-solving skills, with the ability to develop data-driven solutions to complex business challenges., • Strategic Thinking: Ability to think critically and strategically, translating complex data into actionable forecasts that drive business decisions., • Communication: Excellent verbal and written communication skills, with the ability to present complex data insights to commercial leaders and cross-functional teams in a clear and actionable manner, • Project Management: Proven ability to manage multiple projects simultaneously, prioritize competing demands, and meet deadlines in a fast-paced environment. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: Hybrid Other Job Details: Last day to apply: November 21, 2025 The annual base salary for this position ranges from $120,800.00 to $201,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Marketing and Market Research

Job Description Licensed Veterinary Technician working in Internal Medicine (IM) performing Dialysis must be able to perform at a high level of practice with minimal supervision. The role includes assisting internists with appointments, client communication, and collaborating with staff doctors to make daily assessments and procedures run smoothly and efficiently. The Internal Medicine & Dialysis LVT assists with dialysis catheter placement and urinary and scoping procedures. This role will also assist with running Dialysis and extracorporeal therapy treatments. The IM & Dialysis LVT is responsible for routine care and maintenance of the Dialysis suite, including inventory and machine maintenance. Duties and Responsibilities • Proficiency in technical skills including venipuncture, IV catheter placement, and monitoring vitals, • Understanding of IM dialysis procedures and set up, • Perform dialysis and extracorporeal therapy treatments on patients, • Manage anesthetic emergencies during procedures, • Support on-call dialysis and extracorporeal therapies, • Maintain sanitation and stocking of the Dialysis Suite and equipment, • Maintain an appropriate inventory of the Dialysis and IM Suite, • Provide routine care and maintenance of all Dialysis and IM equipment, • Work independently under the guidance of Internal Medicine Specialists, • Other duties as assignedMinimum Qualifications, • NYS veterinary technician's license, • One to two years of experience as an LVT in IM & Dialysis, • Demonstrated ability in quality clinical care, technical services, and teamwork, • Ability to work collaboratively in a fast-paced environment, multi-tasking while paying close attention to details, • Ability to work independently as well as in a team environment, demonstrating a high level of initiative, • High proficiency in patient handling and monitoring, supportive therapy, treatments, and procedures, • Ability to communicate professionally and effectively with clients, colleagues, and referring veterinariansEducation, • Associate or Bachelor's degree from an accredited AVMA college program in veterinary technologyExperience, • One to two years of experience as an LVT in IM & Dialysis, • Experience in cardiopulmonary resuscitation and stabilization of critical patients Our comprehensive benefits package includes: • Competitive salary, • Generous sign-on bonus, • Generous paid time off, • Tuition assistance, • 50% discount on veterinary care, • Mentorship through the VTS process, • Continuing education funds with rollover options, • NYS Licensing fee reimbursement, • Relocation reimbursement for qualified candidates who live outside the NYC metropolitan area, • 403b matching, • Comprehensive medical, dental, and vision coverage A Commitment to Lifelong Learning: Founded in 1910, the Schwarzman Animal Medical Center is the world's largest veterinary teaching hospital, offering compassionate, collaborative, and cutting-edge veterinary care. Our commitment to innovation has led to the creation of one of the most advanced veterinary facilities in the world. State-of-the-Art Facilities: AMC is currently undergoing a major expansion and renovation. Once complete, this project will transform the hospital's entire 83,000-square-foot space into a state-of-the-art facility unlike any other. Highlights include: A brand-new full floor surgical center, 1.5 Tesla Philips MRI (the exclusive high field MRI for small animals in NYC), 64-slice spiral CT scanner, Electroencephalography (EEG), Elekta Versa HD Linear Accelerator, In-house Laboratory, Ultrasound, Echocardiogram, and Mobile Cone Beam CT A multidisciplinary team of 140+ veterinarians across 20+ specialties: With over 20 specialties and services under one roof, our departments frequently work together to deliver the highest quality of patient care in the veterinary field. Our dynamic array of specialists means that we are the go-to place for complex cases. A Hospital in the heart of NYC: AMC is located in Manhattan, surrounded by leading research and teaching institutions such as Cornell University College of Veterinary Medicine, Weill Cornell Medical School, and NYU. Collaborative research opportunities abound, and our strong focus on education ensures a rewarding career for those passionate about mentoring and advancing veterinary medicine.

About Alaffia & Our Mission Each year, the U.S. healthcare system suffers from over $500B in wasted spending due to medical billing fraud, waste, and administrative burden. At Alaffia, we’re committed to changing that paradigm. We’ve assembled a team of clinicians, AI engineers, and product experts to build advanced AI solutions that will directly bend the cost curve for all patients across the healthcare ecosystem. Collectively, we’re building best-in-class AI software to provide our customers with co-pilot tools, AI agents, and other cutting-edge solutions to reduce administrative burden and reduce healthcare costs. We’re a high-growth, venture-backed startup based in NYC and are actively scaling our company. About the Role & What You’ll Be Doing Alaffia is a healthcare AI startup revolutionizing health and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior ML Ops Engineer to build the cutting-edge AI solutions, drive innovation, and shape the future of healthcare automation. At Alaffia, AI is at the core of our mission. We are seeking an experienced engineer who is passionate about deploying scalable, safe, and regulatory-compliant AI-driven systems. Our AI technology powers intelligent automation for medical billing, ensuring accuracy and operational efficiency. We seek someone who thrives on building large-scale AI systems that enhance workflow efficiency, while also prioritizing all the necessary safety guardrails for responsible AI. You will have the opportunity to orchestrate various AI agents with an optimized system design that integrates AI platforms, data storage, and human-in-the-loop feedback. In this role, you’ll be shaping the future of AI-driven healthcare automation while tackling some of the most significant challenges in AI deployment and monitoring. Your Responsibilities • Deploy NLP, OCR, and multi-modal AI products on secure cloud environments., • Design AI system, focusing on pipeline architecture and tooling to ensure scalability, observability, performance, latency and fault tolerance requirements, • Design data schema and develop ETL processes to integrate data and human annotation with AI model tuning and benchmarking pipelines., • Create best practices for data and AI experiment management, • Write highly robust, scalable code that is flexible, reusable, and adaptable to evolving requirements., • Ensure high code quality through rigorous code review processes and foster a collaborative engineering culture., • Build and leverage AI tools to improve developer efficiency and alignment across teams., • Proactively identify, resolve, and mitigate technical risks before deployments and releases. What We’re Looking For: • 8+ years of technical experience, with at least 4+ years in a dedicated software engineering role, • Strong background in data modeling, versioning, and storage for AI data and annotation, • Recent development experience of scalable enterprise AI products, • Proficient in multiple AI frameworks, for example, MLFLow, LangChain, LangFuse, CrewAI, Weights & Bias, • Firm understanding of AI software development and quality assurance procedures, • Working knowledge and design skills across a wide array of databases, • Experience with AI experiment tracking, monitoring, and comparison, • Demonstrated ability to stay up to date with the latest AI methodologies and systems., • Exceptional problem-solving skills and the ability to work in a fast-paced, evolving environment., • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Our Culture At Alaffia, we fundamentally believe that the whole is more valuable than the sum of its individual parts. Further to that point, we believe a diverse team of individuals with various backgrounds, ideologies, and types of training generates the most value. Our people are entrepreneurial by nature, problem solvers, and are passionate about what they do — both inside and outside of the office. What Else Do You Get Working With Us? • Competitive compensation package (cash + equity), • Medical, Dental and Vision benefits, • Flexible, paid vacation policy, • Work in a flat organizational structure — direct access to Leadership

Job Title: AI Workforce Job Designer Location: New York, NY 10041 Schedule: Days Shift Duration: 2 Months with a strong possibility of ongoing extension Pay Range: $70 - $80/Hour. PURPOSE OF POSITION Lead a short-term, high-impact engagement to establish the foundational workforce architecture for Client’s growing Artificial Intelligence Division. Over a 120-day period, this consultant-level role will focus on enterprise-level AI/ML workforce planning, the creation of standardized job families and competencies, and market-informed compensation recommendations for a public health sector/governmental organization. SUMMARY OF DUTIES AND RESPONSIBILITIES • Conduct Artificial Intelligence (AI)/machine learning (ML) workforce planning and capacity modeling aligned to future-state organizational needs., • Design standardized job families and role levels for AI and data science roles., • Define core and technical competencies for each AI-related job classification., • Develop job descriptions and career pathways that enable internal growth., • Benchmark comparable roles across public sector healthcare, government/tech sectors to inform compensation and titling., • Recommend a scalable framework ., • Collaborate with technical leadership, including the Senior Director of AI & Engineering, to ensure job designs and competencies align with operational and innovation goals., • Other duties as assigned. SUMMARY OF SKILLS AND QUALIFICATIONS • Demonstrated expertise in workforce planning, job architecture, and competent framework design, preferably within large, matrixed, public-sector organizations., • Strong working knowledge of AI/ML roles, skills, and team structures, with the ability to translate technical functions into HR-friendly frameworks., • Proven experience conducting compensation benchmarking., • Exceptional ability to synthesize stakeholder input, industry research, and organizational context into clear, scalable deliverables (e.g., job families, career ladders, competency models)., • Strong project management skills with a track record of executing complex projects on aggressive timelines., • Familiarity with public sector constraints and civil service considerations, • Excellent verbal and written communication skills, including experience presenting frameworks and recommendations. EDUCATIONAL LEVEL: • Master’s degree preferred in HR, Organizational Development, Data Science, or related field. YEARS OF EXPERIENCE: • 4+ years in workforce strategy, HR consulting, or organizational design., • 2+ years supporting AI, data science, or technical teams preferred. “Pride Health offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors”

About Alaffia & Our Mission Each year, the U.S. healthcare system suffers from over $500B in wasted spending due to medical billing fraud, waste, and administrative burden. At Alaffia, we’re committed to changing that paradigm. We’ve assembled a team of clinicians, AI engineers, and product experts to build advanced AI solutions that will directly bend the cost curve for all patients across the healthcare ecosystem. Collectively, we’re building best-in-class AI software to provide our customers with co-pilot tools, AI agents, and other cutting-edge solutions to reduce administrative burden and reduce healthcare costs. We’re a high-growth, venture-backed startup based in NYC and are actively scaling our company. About the Role & What You’ll Be Doing Alaffia is a healthcare AI startup revolutionizing health and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior Applied AI Engineer to build the cutting-edge AI solutions, drive innovation, and shape the future of healthcare automation. At Alaffia, AI is at the core of our mission. We are seeking an experienced engineer who is passionate about deploying scalable, safe, and regulatory-compliant AI-driven systems. Our AI technology powers intelligent automation for medical billing, ensuring accuracy and operational efficiency. We seek someone who thrives on building large-scale AI systems that enhance workflow efficiency, while also prioritizing all the necessary safety guardrails for responsible AI. You will have the opportunity to orchestrate various AI agents with an optimized system design that integrates AI platforms, data storage, and human-in-the-loop feedback. In this role, you’ll be shaping the future of AI-driven healthcare automation while tackling some of the most significant challenges in AI deployment and monitoring. Your Responsibilities • Deploy NLP, OCR, and multi-modal AI products on secure cloud environments., • Design AI system, focusing on pipeline architecture and tooling to ensure scalability, observability, performance, latency and fault tolerance requirements, • Design data schema and develop ETL processes to integrate data and human annotation with AI model tuning and benchmarking pipelines., • Create best practices for data and AI experiment management, • Write highly robust, scalable code that is flexible, reusable, and adaptable to evolving requirements., • Ensure high code quality through rigorous code review processes and foster a collaborative engineering culture., • Build and leverage AI tools to improve developer efficiency and alignment across teams., • Proactively identify, resolve, and mitigate technical risks before deployments and releases. What We’re Looking For: • 8+ years of technical experience, with at least 4+ years in a dedicated software engineering role, • Strong background in data modeling, versioning, and storage for AI data and annotation, • Recent development experience of scalable enterprise AI products, • Proficient in multiple AI frameworks, for example, MLFLow, LangChain, LangFuse, CrewAI, Weights & Bias, • Firm understanding of AI software development and quality assurance procedures, • Working knowledge and design skills across a wide array of databases, • Experience with AI experiment tracking, monitoring, and comparison, • Demonstrated ability to stay up to date with the latest AI methodologies and systems., • Exceptional problem-solving skills and the ability to work in a fast-paced, evolving environment., • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Our Culture At Alaffia, we fundamentally believe that the whole is more valuable than the sum of its individual parts. Further to that point, we believe a diverse team of individuals with various backgrounds, ideologies, and types of training generates the most value. Our people are entrepreneurial by nature, problem solvers, and are passionate about what they do — both inside and outside of the office. What Else Do You Get Working With Us? • Competitive compensation package (cash + equity), • Medical, Dental and Vision benefits, • Flexible, paid vacation policy, • Work in a flat organizational structure — direct access to Leadership

Director, Data Scientist - Apollo/Card Data. Lead a team of data scientists and collaborate with machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love. As a startup, we disrupted the credit card industry by individually personalizing

At Scale AI, our mission is to accelerate the development of AI applications.For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles.With our recent Series F round, we're amplifying

At Scale AI, our mission is to accelerate the development of AI applications.For 8 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 Series F round, were accele

All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes. You should never

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If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale. At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fue

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All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site (). If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes. You should ne