• Own CDI’s research and analytics data infrastructure, including core data models, schemas, documentation, data quality checks, and analysis-ready datasets. • Build and maintain data pipelines using reproducible ETL/ELT practices, producing standardized, analysis-ready datasets from key sources. • Lead the rebuild and modernization of CDI’s analytics and reporting layer as part of a platform and data transition. • Design, build, and maintain dashboards, recurring reporting, and self-serve tools for both internal teams and partner-facing deliverables. • Establish and steward trusted metric definitions, documentation, and governance practices across reporting and research workflows. • Co-lead the data and evaluation work for our AI dialogue coach, including building the measurement, reporting, and analysis workflows needed to assess learner experience, safety and appropriateness, reliability, and outcomes. • Support quantitative data preparation, analysis, and reproducible code workflows for efficacy and impact studies. • Partner cross-functionally with colleagues on the Research & Evaluation team, as well as those from Implementation, Operations, and Product/Technical teams.

ROLE SUMMARY Everything we do, every day, is in line with an unwavering commitment to the quality and the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is innovative and customer oriented. Whether you are involved in manufacturing, testing, or compliance, your contribution will directly impact patients. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues can grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and can impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. Pfizer is advancing in Neuroscience, and an integral part of the Migraine Team’s mission is to promote a breakthrough therapy for patients suffering from migraine. The Neuroscience Health & Science Professional (HSP) is responsible for increasing territory sales and relationship development with assigned customers and accounts by engaging in product promotion and determining the best strategies to manage their business. The HSP should possess customer, market, and business acumen, analytical skills, and strong product and disease state knowledge; demonstrate ability to drive sales, promotional and strategic business development and management skills, and in-depth customer engagement expertise both in-person and virtually; demonstrate outstanding communication and teamwork skills; be adept in the operation of digital and virtual tools; and be effective at working remotely in collaboration with cross-functional internal teams to address customer needs and compliantly deliver on Pfizer business objectives. ROLE RESPONSIBILITIES · Drives sales in assigned territory. · Engages with customers both face to face and virtually. · Develops and implements effective business and territory call plans; effectively identifies and implements live/virtual engagement strategies with customer to maximize overall effectiveness and impact. · Effectively builds rapport and relationships with customers in both live and virtual environments; uses judgment to maintain customer engagement by successfully utilizing existing and ever-changing digital tools effectively for successful customer engagement. · Understands and leverages internal reports and analytics to assist with identifying, developing, and implementing strategic business opportunities. · Compliantly leverages product and disease state knowledge to appropriately educate providers on unbranded and branded product value proposition for relevant patient populations and effectively and strategically utilizes approved clinically oriented disease state information and patient resources, as applicable. · Demonstrates strong teamwork capabilities to collaborate effectively and compliantly across the organization to address customer inquiries and advance Pfizer objectives. · Completes all administrative expectations on time and compliantly. BASIC QUALIFICATIONS · Bachelor’s Degree. · Minimum 2 years of experience in one or more of the following OR an associate’s degree with 6+ years of experience; OR high school diploma (or equivalent) with 8+ years of relevant experience: - Professional Sales or Promotional Activity. - Small Business Owner or other Entrepreneurial experience, Marketing, Customer Service and/or Account Management. - Relevant Healthcare/Scientific roles (e.g., RN, Pharmacist, PT, OT, etc.). - Educator (e.g., Teacher, Principal). - Full Time Military experience. - Must live within 25 miles of the border of the territory. - Valid US driver’s license and driving record in compliance with company standards. Any DUI/DWI or other impaired driving citation within the past 7 years will disqualify you from being hired. PREFERRED QUALIFICATIONS · At least 1 year of pharmaceutical, biotech, medical sales and/or medical related marketing. · Strong track record of sales or marketing success, strong territory management skills, outstanding communications skills, as well as demonstrated teamwork, leadership ability and accountability. · Experience with applicable disease states, therapeutic area, and products. · Knowledge of posted territory customers and markets (prescribers/HCPs/institutions/organizations). · Reside within the territory boundaries. OTHER JOB DETAILS - Last Date to Apply: April 14, 2026 - Geography includes: Chevy Chase, Bethesda, Rockville, Germantown, Frederick, and Reston, VA The annual base salary for this position ranges from $76,000 - $199,600. During initial new hire sales training, you will be classified as a salary non-exempt employee which entitles you to overtime pay. Upon your training certification, you will become an overtime exempt employee. In addition, this position offers an additional quarterly Sales Incentive bonus. 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 any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. 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 www.pfizer.com/careers 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 disabilityrecruitment@pfizer.com. 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. Sales

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a Senior Data Scientist – Computer Vision & Video Machine Learning to design, develop, and deploy advanced visual AI solutions across a complex physical and operational environment. This role focuses on building production‑grade computer vision and video machine learning systems that enable automated inspection, physical‑world understanding, and vision‑guided robotics. The ideal candidate brings deep expertise in modern CV and video ML architecture, strong data science fundamentals, and disciplined MLOps practices to deliver scalable, reliable, real‑world visual intelligence systems. Key Responsibilities - Design, train, and deploy computer vision and video ML models for automated visual inspection, diagnostics, and physical‑world analysis - Develop video understanding and temporal ML pipelines for learning physical procedures and enabling vision‑guided automation - Build perception models that allow automated and robotic systems to recognize objects, understand spatial context, and track task execution - Develop object detection, semantic segmentation, classification, and anomaly detection models across still imagery and video streams - Implement robust data cleaning and preparation workflows for image and video datasets, addressing noise, lighting variation, calibration drift, temporal alignment, and class imbalance - Design state‑space and feature representations for vision‑guided reinforcement learning agents and adaptive control systems - Develop recursive and online training pipelines that continuously improve models using production feedback and newly collected data - Apply physics‑informed ML constraints where visual patterns correlate with underlying physical processes - Implement MLOps best practices including experiment tracking, model versioning, automated validation pipelines, model registry management, and production monitoring - Collaborate with engineering teams to optimize vision model inference for deployment on edge devices, embedded systems, and cloud infrastructure - Manage large‑scale image and video annotation pipelines in partnership with domain experts - Communicate model performance, system impact, and insights through clear, executive‑facing analytics and visualizations Qualifications Education - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, Statistics, or a related quantitative field - Equivalent professional experience will be considered Experience - A minimum of 6 years of experience in data science or machine learning - At least 3 years of hands‑on experience focused on computer vision and/or video machine learning with production deployments Preferred Qualifications - Experience with visual inspection, industrial quality systems, or automated perception pipelines - Background in robotic perception, manipulation, or autonomous system development - Experience with video‑based imitation learning or learning from demonstration - Exposure to complex physical systems, regulated environments, or safety‑critical applications - Advanced degree (PhD) with applied research in computer vision, video ML, robotics, or related fields - Experience with generative models for synthetic data generation or anomaly detection Soft Skills - Strong interpersonal skills and ability to collaborate effectively within cross‑functional teams - Excellent written and verbal communication skills, including executive‑level presentations - Meticulous attention to detail to ensure accuracy, reproducibility, and reliability of models - Strong problem‑solving and analytical thinking skills - Ability to operate effectively in fast‑paced, ambiguous environments - Ownership mindset with a focus on delivering production‑ready solutions Technology Stack - Python machine learning and computer vision frameworks (e.g., PyTorch, TensorFlow, OpenCV) - Deep learning architectures for vision and video (object detection, segmentation, temporal modeling) - MLOps and experiment tracking tools (e.g., MLflow, Weights & Biases, CI/CD for ML) - Data annotation and dataset management tools - SQL and data pipelines for large‑scale unstructured visual data - Edge and cloud deployment technologies for ML inference Physical Requirements - Ability to work in a standard office or remote environment - Ability to use a computer and multiple monitors for extended periods - Ability to participate in meetings, design reviews, and collaborative working sessions This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

• The Data Scientist combines advanced analytics and machine learning with deep domain knowledge to generate clinical and operational insights, build predictive models, and support decision-making across the healthcare ecosystem. • Prepare and analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. • Develop, implement, and optimize machine learning models, including Generative AI, for predictive analytics, classification, and other applications. • Apply statistical techniques to analyze data and build models that forecast future trends and behaviors (e.g., risk stratification, disease progression, readmission likelihood). • Create compelling data visualizations and dashboards to effectively communicate findings and insights to stakeholders. • Connect and match within and across data sources both internal/ external to augment and enhance analyses. • Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to gather requirements and deliver data solutions. • Stay current with industry trends and advancements in data science and integrate new techniques and tools into existing workflows. • Identify, review, and execute impactful analytical approaches from industry whitepapers. • Translate complex data into actionable insights to support clinical decision-making, care optimization, and operational efficiency, often through dashboards or reports. • Collaborate with clinicians, informaticists, and SMEs to derive relevant features from health data, such as comorbidity indices, lab value trajectories, or time-to-treatment measures. • Ensure data use complies with HIPAA, 42 CFR Part 2, and other applicable regulations. • Apply de-identification, data masking, or differential privacy techniques when needed. • Help define and sometimes implement workflows for data acquisition, preprocessing, and model inference pipelines, often in cloud-based environments (e.g., AWS, Azure). • Identify and mitigate potential biases in data or models, and ensure outputs are interpretable by clinical or policy stakeholders. • Monitor model performance over time and retrain or recalibrate as necessary to maintain accuracy and relevance in evolving clinical environments.