Urwah Admin

Pfizer

<div><div>Use Your Power for Purpose</div><div>
Our manufacturing logistics and supply team makes sure that customers and patients have the medicines they need, when they need them. You&rsquo;ll help bring medicines to the world even faster by embracing challenges, imagining what&rsquo;s possible and taking action.</div><div>
What You Will Achieve</div><div>
Working with a dynamic team of Logistics and Supply Chain experts, you will play a critical role in the movement of materials within the plant, office or warehouse. As a materials handling expert, you will be entrusted with receiving, storage, inventory control, internal distribution, and shipping, in compliance with corporate standards. To enable you to accomplish this task, you will make use of a variety of equipment, such as forklifts, hand carts, and power trucks.</div><div>
As part of technical operations, you will be a team member who is relied to have a good understanding of procedures, techniques, tools, materials and equipment. Your decision making will help you prioritize workflows based on the available resources. You will follow standard procedures to complete tasks, some of which may vary in scope, sequence, complexity and timing. You will contribute to the team&rsquo;s success by sharing your knowledge from previous experiences.</div><div>
It is your dedication and commitment that will make Pfizer ready to achieve new milestones and help patients across the globe.</div><div></div><div>
How You Will Achieve It</div><ul><li><div>
Manage own time, professional development, prioritizes workflows, and accountable for own results.</div></li><li><div>
Comply with Good Manufacturing Practices (GMP), sanitation procedures and general housekeeping as well as all safety practices and procedures.</div></li><li><div>
Communicate effectively up and down the Chain of Command and maintain acceptable attendance.</div></li><li><div>
Work in a team environment that supports all aspects of the material handling function.</div></li><li><div>
Maintain material verification and inventory accuracy ensuring regulatory compliance in receiving, staging, delivering, shipping, and warehousing.</div></li><li><div>
Operate forklift or other powered or manual material handling equipment to unload and load goods through the facility.</div></li><li><div>
Maintain direct interaction with all relevant departments, such as production, finance, external vendors, contractors, quality assurance etc.</div></li><li><div>
Facilitate an environment of continuous improvement with all team members.</div></li></ul><div>
Qualifications</div><div>
Here Is What You Need (Minimum Requirements)</div><ul><li><div>
High School Diploma or GED</div></li><li><div>
2+ years&rsquo; experience</div></li><li><div>
Basic Computer Skills</div></li><li><div>
Valid Drivers License</div></li><li><div>
Experience operating a Stand up and Reach forklift</div></li><li><div>
Ability to read, comprehend, and respond to verbal and written instructions/facility documents in English &middot;</div></li><li><div>
Capable of completing documentation relative to the movement of inventory</div></li><li><div>
Ability to work unsupervised, be a team player</div></li><li><div>
Able to adapt to changing environment and situations in a constructive manner</div></li></ul><div></div><div>
Bonus Points If You Have (Preferred Requirements)</div><ul><li><div>
Experience with SAP inventory systems</div></li><li><div>
Knowledge and understanding of Good Manufacturing Practices (GMP)</div></li><li><div>
CDL or Hazardous certification</div></li></ul><div></div><div><br>
PHYSICAL/MENTAL REQUIREMENTS</div><div>
Lifting up to 50 pounds required</div><div>
5 to 8 hours walking, bending, lifting, moving material</div><div></div><div>
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS</div><div></div><div>
Overtime is mandatory</div><div></div><div>
OTHER JOB DETAILS</div><div>
Last Date to Apply for Job: Dec 22, 2025.</div><div>
Referral Bonus Eligibility: YES</div><div>
Eligible for Relocation Package: NO</div><div><br>
Work Location Assignment: On Premise</div><div></div>
The salary for this position ranges from $21.36 to $35.59 per hour. In addition, this position offers eligibility for overtime, weekend, holiday and other pay premiums depending on the work schedule and the Company&rsquo;s policies. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life&rsquo;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 &ndash; 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 applies only to the United States - Massachusetts - Andover location.<div></div><div>
Relocation assistance may be available based on business needs and/or eligibility.</div><div></div><div><div><div><div><div><div><div><div><div>
Sunshine Act</div><div>
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&rsquo;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.</div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div>
EEO &amp; Employment Eligibility</div><div>
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.</div><div></div><div>
Pfizer endeavors to make <div>www.pfizer.com/careers</div> 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 <div>disabilityrecruitment@pfizer.com</div>. 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.</div></div></div></div></div></div></div></div></div><div></div>
Logistics &amp; Supply Chain Mgmt</div><div></div>

Warehouse Technician 2

<div>
 <strong>
  Use Your Power for Purpose
  <br/>
  <br/>
 </strong>
 Reporting to the Research &amp; Development division, you will be integral in bridging evidence-based medical decision support with colleagues and stakeholders to enhance health and treatment outcomes. By developing frameworks to ensure our evidence is scientifically robust, providing unbiased and medically necessary expertise, or investigating data gaps, our mission remains clear: to empower healthcare decisions regarding the safe and appropriate use of medicines for patients. Your work will support better health outcomes, ensuring that our evidence is sound and that healthcare decisions are informed and safe for patients.
 <br/>
 <br/>
 <strong>
  What You Will Achieve
  <br/>
  <br/>
 </strong>
 In this role, you will:
 <br/>
 <br/>
 <ul>
  <li>
   STUDY IMPLEMENTATION &amp; MANAGEMENT
  </li>
  <li>
   Support via execution of operational tasks the conduct of studies and projects (Non-Interventional Studies, Low Interventional Studies, etc.) by working collaboratively with all involved departments and groups
  </li>
  <li>
   Coordinate and execute operational responsibilities for assigned studies in compliance with Pfizer policies and procedures
  </li>
  <li>
   Schedule, participate in and take minutes during scheduled team meetings (if required) &ndash; distribute minutes, action items, follow-up for completion as needed
  </li>
  <li>
   Create or assist with study documents as requested by Clinical Scientist or Study Team (MS Word, Excel, Powerpoint)
  </li>
  <li>
   Create folders and file documents in shared drive locations (Sharepoint, Teams, etc) for Study Team to actively manage the project
  </li>
  <li>
   Prepare and assist others with required internal study documents including, but not limited to, concept submission, due diligence checklist, laboratory worksheets, supply requests, study team rosters, vendor lists, etc.
  </li>
  <li>
   May act as primary contact for vendors, including laboratory and/or Clinical Research Organizations and maintenance of associated documentation (i.e., vendor management plans)
  </li>
  <li>
   Liaise with external vendors to ensure laboratory supplies and sample shipment arrangements are made in accordance with protocol requirements and follow-up with vendor to ensure supply fulfillment is completed as expected
  </li>
  <li>
   Prepare study/project timelines and track progress against stated milestones and deliverables
  </li>
  <li>
   Track Pfizer SOP process steps from concept development through study close-out and ensure Study Team is completing all required items per the relevant SOP and or Medical Affairs processes
  </li>
  <li>
   Liaise with external collaborators, key opinion leaders, to obtain relevant required documentation need in support of various research activities
  </li>
  <li>
   Manage financial aspects of research projects including, but not limited to, tracking invoicing and payment activities, and alignment with departmental budget forecasts, facilitate execution of Confidentiality Disclosure Agreements, study contract and updates
  </li>
  <li>
   Maintain study master file and file study documents in the appropriate Pfizer repository (i.e. GDMS, PTMF, etc)
  </li>
  <li>
   Maintain study details in required systems as necessary from concept to close-out (Siebel, SToD, etc)
  </li>
  <li>
   Support audits/inspections as applicable
  </li>
  <li>
   DEPARTMENT LEVEL SUPPORT
  </li>
  <li>
   Assist with entry of study details into any of a variety of systems on behalf of department colleagues
  </li>
  <li>
   Work with Clinical Scientist team and other operational colleagues on department-wide financial updates and information collection/reporting
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Here Is What You Need (Minimum Requirements)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS Degree in science, health-related field or epidemiology with at least 5 years of relevant (prior clinical trial, non-interventional study and/or epidemiologic study) experience.
  </li>
  <li>
   Experience with participating in and supporting a multidisciplinary team
   <br/>
   <br/>
  </li>
 </ul>
 Experience in project management - managing fully-outsourced projects or vendor oversight is highly desired for this position
 <br/>
 <br/>
 <ul>
  <li>
   Exercises own judgement leveraging knowledge and experience. Works independently with instruction on complex problems.
  </li>
  <li>
   Fluent in English with exceptional written and oral communication and cross-functional collaborative skills
  </li>
  <li>
   Outstanding organizational skills, managing several projects concurrently that are often time pressured; strong ability to effectively multi-task and prioritize
  </li>
  <li>
   Proficiency in the full Microsoft suite of applications (MS Word, Excel, Powerpoint, Teams, etc)
   <br/>
   <br/>
  </li>
 </ul>
 Work Location Assignment: Hybrid
 <br/>
 <br/>
 Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
 <br/>
 <br/>
 Medical
</div>


Study Operations Manager

<div><ul><li><div>ROLE SUMMARY</div><div>
Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital&rsquo;s Commercial Creation Center &amp; CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer&rsquo;s transformation into a digitally driven organization, using data science and AI to change patients&rsquo; lives, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.</div><div></div><div>
As a Data Science and AI Technical Product Owner, you will be a leader charged with setting a vision for and championing analytic and AI industrialized asset products that serve a broad base of users ranging from analysts, data scientists, and engineers to marketers, medical experts, and researchers. You will create, own the roadmaps for, and lead the development of an array of products that generalize point solutions into analytic and AI systems to simplify and fuel insight generation.</div><div></div><div>
ROLE RESPONSIBILITIES</div><ul><li>
Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development</li><li>
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs</li><li>
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate</li><li>
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components); Performance and resource optimization of managed pipelines and models</li><li>
Lead the advancement of at scale &ldquo;industrialized&rdquo; AI and data science capabilities and industrialized asset products</li><li>
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components.</li><li>
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products.</li><li>
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)</li><li>
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)</li><li>
Define, monitor, and achieve product success and value metrics</li><li>
Coordinate with other product and digital teams to ensure data science and AI products fully enable and are integrated into the Commercial data science, analytics and AI ecosystem</li></ul><div></div><div>
BASIC QUALIFICATIONS</div><ul><li>
Bachelor&rsquo;s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)</li><li>
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects</li><li>
2-3 years of hands-on product management experience</li><li>
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS</li><li>
Track record of managing cross-functional stakeholder groups and effecting change</li><li>
Clearly articulates expectations, capabilities, and action plans; actively listens with others&rsquo; frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority</li><li>
Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in</li><li>
Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team</li><li>
Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional &amp; technical guidance and SME support</li><li>
Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions</li><li>
Strong business analysis, product design, and product management skills</li><li>
Deep expertise with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, Azure AI Foundry or other data science and AI platforms</li><li>
Strong hands-on skills in analytics engineering and data science (e.g., Python, R, SQL, industrialized ETL software)</li><li>
Experience working with various types of data (structured / unstructured)</li><li>
Deep understanding of MLOps principles and tech stack (e.g. MLFlow)</li><li>
Highly self-motivated to deliver both independently and with strong team collaboration</li><li>
Ability to creatively take on new challenges and work outside comfort zone</li><li>
Strong English communication skills (written &amp; verbal)</li></ul><div></div><div>
PREFERRED QUALIFICATIONS</div><ul><li>
Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline</li><li>
Hands on experience working in Agile teams, processes, and practices</li><li>
Experience in developing Machine Learning based products, preferably with Large Language Models and AI/Agentic AI solutions</li><li>
Experience in developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable</li><li>
Experience developing and deploying data and analytic products for use by technical and non-technical audiences</li><li>
Pharma &amp; Life Science commercial functional knowledge</li><li>
Pharma &amp; Life Science commercial data literacy</li><li>
Experience with Dataiku Data Science Studio</li><li>
Experience with Agentic AI platform such as Azure AI Foundry</li></ul><div></div><div>
LI#PFE</div></li></ul><br>
<br>
Work Location Assignment: Hybrid<div></div><div><br>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Marketing and Market Research</div><div></div>

Senior Manager, Data Science and AI Technical Product Owner

<div><div>ROLE SUMMARY</div><div>
Are you passionate about transforming media data into actionable insights for marketing success? Do you thrive in a dynamic environment that blends data science, media analytics, and commercial strategy?</div><div></div><div>
Join our team as a Senior Manager, Data Science &amp; Analytics, where you will lead the development and deployment of advanced analytics solutions for media marketing mix optimization. You&rsquo;ll leverage cutting-edge technologies&mdash;including AI, machine learning, and cloud-based analytics platforms&mdash;to drive strategic decisions and maximize ROI across digital and traditional media channels. This global role offers the opportunity to collaborate with cross-functional teams, influence marketing strategies, and shape the future of data-driven media planning.</div><div></div><div>
The ideal candidate is an expert in data science with experience working in diverse and cross-functional teams, bridging the gap between data, technology, and people, experience with media analytics and impact assessment using techniques like marketing mix, A/B testing, etc. to deliver the promise of AI/ML to improve patients&rsquo; lives.</div><div></div><div>
ROLE RESPONSIBILITIES</div><ul><li><div>
Lead the design, development, and implementation of media mix modeling and marketing analytics solutions using advanced statistical and machine learning techniques.</div></li><li><div>
Drive the evolution of analytics processes for media data integration, campaign performance measurement, and resource allocation across digital, TV, print, and social media channels.</div></li><li><div>
Oversee experimentation frameworks (A/B testing, multi-touch attribution, econometric modeling) to quantify media impact and optimize marketing spend.</div></li><li><div>
Serve as the subject matter expert for media data analytics, providing strategic guidance to senior marketing and commercial leaders.</div></li><li><div>
Collaborate with cross-functional teams (marketing, finance, IT, agencies) to align analytics initiatives with business objectives and ensure seamless data integration.</div></li><li><div>
Lead and mentor a team of data scientists and analysts, fostering technical excellence and professional growth.</div></li><li><div>
Develop and maintain reusable analytics assets, custom data pipelines, and dashboards for media performance tracking and visualization.</div></li><li><div>
Communicate complex analytical findings to non-technical stakeholders, translating data insights into actionable recommendations.</div></li><li><div>
Stay abreast of industry trends in media analytics, marketing technology, and data science, proactively identifying opportunities for innovation.</div></li><li><div>
Lead planning and prioritization of Promotion Impact services and change management with cross functional stakeholders.</div></li></ul><div></div><div>
Technical skills and competencies:</div><ul><li><div>
Strong strategic, conceptual and analytical thinker with the ability to understand analytics needs, leverage learnings from other industries and use sophisticated analytical tools and techniques to build effective solutions.</div></li><li><div>
Expertise in media mix modeling, multi-channel attribution, and marketing ROI analysis.</div></li><li><div>
Advanced proficiency in Python, R, SQL, and cloud analytics platforms (e.g., Azure, AWS, GCP).</div></li><li><div>
Applied knowledge of machine learning, deep learning, and statistical modeling for media data.</div></li><li><div>
Experience with data visualization tools (Tableau, Power BI, Looker) and interactive analytics.</div></li><li><div>
Strong understanding of media data sources (ad impressions, GRPs, reach/frequency, digital analytics, social listening, CRM).</div></li><li><div>
Ability to architect scalable data solutions and automate analytics workflows.</div></li><li><div>
Exceptional project management and stakeholder engagement skills.</div></li><li><div>
Demonstrated insight and understanding of the pharma health care space (physician-level prescribing, institutional sales data, payer-prescriber-level data, formulary data, patient-level data, etc.), trends, and issues combined with experience in the areas of marketing mix optimization and Field Force Sizing</div></li><li><div>
Proven ability to recognize interactions between insights, identify trends, proactively recognize future business needs and link them to current and future analytics.</div></li><li><div>
Exceptional communicator: Can readily align interpersonal style with the individual needs; can understand, translate, and distill complex, technical concepts to a layperson</div></li><li><div>
Highly collaborative: Shares responsibility and credit; develops self and others through teamwork; comfortable working in global environment and across time zones</div></li><li><div>
Strong at project management: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently</div></li></ul><div></div><div>
BASIC QUALIFICATIONS</div><ul><li><div>
9+ years of experience in advanced analytics, with a focus on Media data, Marketing mix modeling, or Digital marketing analytics.</div></li></ul><ul><li><div>
2+ years in a leadership role managing analytics teams and cross-functional projects.</div></li><li><div>
STEM degree (Statistics, Computer Science, Engineering, Mathematics, Economics) with quantitative emphasis.</div></li><li><div>
Expert proficiency in Python, R, SQL, and media analytics platforms.</div></li><li><div>
Demonstrated experience in statistical analysis, machine learning, and optimization.</div></li><li><div>
Strong verbal and written communication skills; ability to influence and collaborate across teams.</div></li><li><div>
Applied knowledge of statistical analysis, experience with R, Python, Excel, etc.</div></li><li><div>
Strong background in optimization, mathematical modeling, machine learning, algorithms, and data structures</div></li><li><div>
Superior analytical skills required; Strong verbal and written communication skills</div></li><li><div>
Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa</div></li></ul><div></div><div>
PREFERRED QUALIFICATIONS</div><ul><li><div>
Industry experience in media, advertising, or marketing analytics coupled with basic understanding of the pharma domain.</div></li><li><div>
Consulting experience and proven project management skills.</div></li><li><div>
Experience with Bayesian statistics, cloud computing, and big data technologies.</div></li><li><div>
Familiarity with media datasets (Nielsen, Kantar, Comscore, digital ad platforms, CRM, social media analytics).</div></li></ul><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Marketing and Market Research</div><div></div>

Senior Manager, Data Science & Analytics (Media Mix Modelling)

<div><div>Use Your Power for Purpose</div><div>
At Pfizer, technology drives everything we do. You will play a pivotal role in implementing impactful and innovative technology solutions across all functions, from research to manufacturing. Whether you are digitizing drug discovery and development, identifying innovative solutions, or streamlining our processes, you will be making a significant impact on countless lives.</div><div></div><div>
What You Will Achieve</div><ul><li>
Develop and lead/co-lead complex projects to achieve objectives.</li><li>
Coordinate with Solutions Delivery Engineers to identify opportunities for technology alignment and efficiency of implementation, executing process improvements.</li><li>
Act as the primary technical interface between the business application platforms team and the assigned Digital Technology business line.</li><li>
Develop user stories and epics to encapsulate business requirements for prioritization against the master BAP backlog.</li><li>
Assist teams with the execution of test cases and scripts, ensuring customer expectations are met through the delivery of services or projects.</li><li>
Communicate project status, milestones, and issues to project sponsors, drive Master Data Management best practices, create technical designs and implementation plans, and perform technical evaluations of commercial blockchain-based solutions.</li></ul><div></div><div>
Here Is What You Need (Minimum Requirements)</div><ul><li>
BA/BS with 6+ years of experience or MBA/MS with 5+ years of experience or PhD/JD with 1+ year of experience or MD/DVM with any years of relevant experience</li><li>
Proven expertise in collaborating with sponsors and business leadership teams to develop and deliver technology roadmaps, strategies, and operating plans</li><li>
Demonstrated understanding of key Agile techniques and a deep comprehension of systems and information architecture</li><li>
Broad knowledge of corporate enterprise systems</li><li>
Innovative mindset with strong delivery-oriented values</li><li>
Excellent stakeholder relationship management skills</li><li>
Exceptional interpersonal and communication abilities</li></ul><div></div><div>
Bonus Points If You Have (Preferred Requirements)</div><ul><li>
A Master's degree with relevant pharmaceutical industry experience</li><li>
Experience working on global programs</li><li>
A good understanding of business customers' expectations and preferences, and how digital fits in</li><li>
Experience with SharePoint, Microsoft NET, and Microsoft and Oracle application platforms</li><li>
Ability to anticipate and troubleshoot roadblocks, influencing teams to meet division targets</li><li>
Strong analytical and problem-solving skills</li><li>
Ability to manage multiple priorities in a fast-paced environment</li><li>
Strong leadership and team management skills</li></ul>
<br>
Work Location Assignment: Hybrid<div></div><div><br>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Information &amp; Business Tech</div><div></div>

Senior Manager, AI and Data Science Solution Engineer

<div><div>The Global Commercial Analytics (GCA) team within the Chief Marketing Office (CMO) organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge Machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.</div><div></div><div>
We are looking for a Senior Associate, Data Science and AI who will be responsible for delivering data-derived insights and/or AI-powered analytics tools to Pfizer&rsquo;s Commercial organization and will support a brand or therapeutic area. This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights. We are seeking a hands-on Data Scientist to design and implement advanced analytics and machine learning solutions that drive commercial decision-making in the pharmaceutical domain. The ideal candidate will have strong expertise in statistical modeling, forecasting, segmentation, clustering, classification, and regression, with experience in Bayesian methods. Familiarity with pharma or healthcare data is highly desirable. Exposure to agentic AI frameworks is a plus.</div><div></div><div>
This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.</div><div></div><div>
Key Responsibilities</div><ul><li><div>
Predictive Modeling &amp; Forecasting</div><ul><li><div>
Develop and deploy forecasting models for sales, demand, and market performance using advanced statistical and ML techniques.</div></li><li><div>
Apply Bayesian modeling for uncertainty quantification and scenario planning.</div></li></ul></li><li><div>
Segmentation &amp; Targeting</div><ul><li><div>
Implement customer/physician segmentation using clustering algorithms and behavioral data.</div></li><li><div>
Build classification models to predict engagement, conversion, and prescribing patterns.</div></li></ul></li><li><div>
Commercial Analytics</div><ul><li><div>
Design and execute regression models to measure promotional effectiveness and ROI.</div></li><li><div>
Support marketing mix modeling (MMM) and resource allocation strategies.</div></li></ul></li><li><div>
Machine Learning &amp; AI</div><ul><li><div>
Develop ML pipelines for classification, clustering, and recommendation systems.</div></li><li><div>
Explore agentic AI approaches for workflow automation and decision support (good-to-have).</div></li></ul></li><li><div>
Data Management &amp; Visualization</div><ul><li><div>
Work with large-scale pharma datasets (e.g., IQVIA, Veeva CRM, claims, prescription data).</div></li><li><div>
Create interactive dashboards and visualizations using Tableau/Power BI for senior stakeholders.</div></li></ul></li><li><div>
Collaboration &amp; Communication</div><ul><li><div>
Partner with Commercial, Marketing, and Insights teams to understand business needs.</div></li><li><div>
Present analytical findings and actionable recommendations through clear storytelling.</div></li></ul></li></ul><div></div><div>
Required Qualifications</div><ul><li><div>
Education: Master&rsquo;s or Ph.D. in Data Science, Statistics, Computer Science, or related quantitative field.</div></li><li><div>
Experience: 2&ndash;4 years in Data science or Advanced analytics, preferably in Commercial Pharma or Healthcare.</div></li><li><div>
Technical Skills:</div><ul><li><div>
Strong proficiency in Python (pandas, scikit-learn, statsmodels, PyMC for Bayesian).</div></li><li><div>
SQL for data extraction and transformation.</div></li><li><div>
Experience with ML algorithms: regression, classification, clustering, time-series forecasting.</div></li><li><div>
Familiarity with Bayesian modeling and probabilistic programming.</div></li><li><div>
Visualization tools: Tableau, Power BI.</div></li></ul></li><li><div>
Domain Knowledge: Pharma/healthcare datasets and commercial analytics concepts.</div></li><li><div>
Soft Skills: Excellent communication and ability to translate complex analytics into business insights.</div></li></ul><div></div><div>
Preferred Skills</div><ul><li><div>
Experience with agentic AI frameworks (good-to-have).</div></li><li><div>
Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.</div></li><li><div>
Exposure to marketing mix modeling (MMM) and promotional analytics.</div></li></ul><div></div><div>
Cross-Functional Collaboration</div><ul><li><div>
Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.</div></li><li><div>
Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively.</div></li><li><div>
Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making.</div></li></ul><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Marketing and Market Research</div><div></div>

Senior Associate, Data Science & AI

<div><div>Use Your Power for Purpose</div><div>
Pfizer is committed to ensuring every batch meets the highest standards of Good Documentation Practices (GDP). Your role will directly impact compliance and patient safety by maintaining accurate, complete, and consistent documentation throughout the batch review process.</div><div>
What You Will Achieve</div><div>
In this role, you will:</div><ul><li>
Perform comprehensive GDP reviews of batch records to ensure accuracy, completeness, and compliance with Pfizer Quality Standards and regulatory requirements.</li><li>
Verify that all critical data entries, signatures, and dates are properly documented and aligned with GDP principles.</li><li>
Identify documentation gaps or errors and collaborate with relevant teams to resolve discrepancies promptly.</li><li>
Ensure timely closure of batch record reviews to support uninterrupted product release.</li><li>
Maintain and update GDP review checklists and SOPs to reflect current standards and best practices.</li><li>
Document findings and provide clear feedback to manufacturing and quality teams.</li><li>
Support continuous improvement initiatives related to documentation quality and compliance.</li></ul><div>
Here Is What You Need (Minimum Requirements)</div><ul><li>
High school diploma (or equivalent) with 5+ years of experience, or associate&rsquo;s degree with 3+ years, or BA/BS with 2+ years of experience.</li><li>
Strong knowledge of Good Documentation Practices and batch record requirements in pharmaceutical manufacturing.</li><li>
Attention to detail and ability to identify inconsistencies in documentation.</li><li>
Excellent technical writing and communication skills.</li><li>
Proficiency in Microsoft Office and electronic documentation systems.</li></ul><div>
Bonus Points If You Have (Preferred Requirements)</div><ul><li>
Experience in batch record review within a GDP environment.</li><li>
Familiarity with electronic batch record systems and quality management tools.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work independently and manage multiple reviews under tight timelines.</li></ul>
<br>
Work Location Assignment: On Premise<div></div><div><br>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Quality Assurance and Control</div><div></div>

SOQ HUB Senior Associate

Join Pfizer and explore 26   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.