Similar Jobs at Pfizer
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads incentive compensation strategy, quota-setting, recognition programs, analytics, governance, implementation, and continuous improvement across Pfizer’s international markets. Partners with business leaders and cross-functional teams to design compliant, motivating, and financially responsible programs, deliver data-driven recommendations, oversee payouts and operational timelines, and maintain audit readiness. The role requires strong quantitative analysis, commercial operations expertise, project management, stakeholder influence, and experience supporting pharmaceutical or healthcare organizations.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads marketing channel delivery and medical samples services across Malaysia, Indonesia, Singapore, and the Philippines. Oversees sample planning, logistics, compliance, campaigns, HCP portal strategy, social communications, ePermission governance, and omnichannel reporting. Partners with marketing, digital, commercial, legal, compliance, and delivery teams to implement services, manage performance, train stakeholders, maintain audit readiness, and drive process improvement and AI-enabled innovation.
Top Skills:
AIEmail MarketingOmnichannel Reporting DashboardsPfizerpro
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports global and regional pharmaceutical regulatory strategy, lifecycle maintenance submissions, CMC Module 1 preparation, labeling updates, safety reporting, and Health Authority responses. Coordinates submission components, performs quality checks, maintains regulatory trackers, and collaborates with global, regional, country, clinical, safety, quality, supply, and commercial teams. Contributes to process improvement, automation, and standardized regulatory workflows while ensuring timely, accurate, and compliant deliverables.
Top Skills:
Approved Ai ToolsAutomationCmc SubmissionsData AnalyticsDocument Management SystemsElectronic Applications (Eaf)Electronic Submission ToolsPearl ReportsProduct Data Management SystemsRegulatory Information Management SystemsWwrs Reports
Senior Scientist: Process Modeling and Hybrid Modelling
The Manufacturing Intelligence (MI) team within Pfizer's Global Technology & Engineering (GT&E) is responsible for driving the development and implementation of advanced analytics including AI/ML, soft sensor, advanced process control, and process condition monitoring solutions in support of manufacturing and future capabilities in Pfizer Global Supply (PGS).
As a member of MI, this role will have the opportunity to develop and implement advanced analytics, real-time soft sensors, machine learning, advanced process control and IIoT solutions/capabilities in manufacturing settings to achieve actionable insights and enable continued improvement for pharmaceutical manufacturing and quality operations.
Responsibilities
Basic Qualifications
Preferred Qualifications
Work Location Assignment: Remote
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech
The Manufacturing Intelligence (MI) team within Pfizer's Global Technology & Engineering (GT&E) is responsible for driving the development and implementation of advanced analytics including AI/ML, soft sensor, advanced process control, and process condition monitoring solutions in support of manufacturing and future capabilities in Pfizer Global Supply (PGS).
As a member of MI, this role will have the opportunity to develop and implement advanced analytics, real-time soft sensors, machine learning, advanced process control and IIoT solutions/capabilities in manufacturing settings to achieve actionable insights and enable continued improvement for pharmaceutical manufacturing and quality operations.
Responsibilities
- Technical contribution to high-impact projects that require data analytics, advanced modeling, and optimization expertise.
- Identify high value opportunities for applying Advanced Analytics, Advanced Process Control (APC), Artificial Intelligence (AI), Machine Learning (ML) and Industrial Internet of Things (IIoT), Generative AI and develop and deploy innovative fit-for-purpose solutions in manufacturing environment
- Drive development of mathematical and machine learning models and support GMP implementation of such analytics solutions
- Apply engineering principles, modeling tools, and experimental skills using data-rich lab/pilot/manufacturing equipment to improve process understanding and facilitate real-time process monitoring and control
- Collaborate with cross-functional teams and key stakeholders, effectively communicate progress to management, and drive project progress in a timely manner.
Basic Qualifications
- B. Tech computer science is preferred.
- Expert-level knowledge in Python is a must. Experience in any of the following languages is a plus: R, Matlab, JavaScript.
- Ability to perform data engineering on real world big-data ranging from structured time-series datasets with thousands of features.
- Track record in applying data science and machine learning methodologies to real-world data to generate insight and support decision making.
- Ability to work collaboratively in diverse cross-functional teams on innovative solutions and tools with an open attitude towards fast learning.
- Knowledge of upstream and downstream Biopharmaceutical Manufacturing
- Demonstrated experience of story-telling to technical experts and non-technical stakeholders
- Independent, self-motivated personality with excellent oral and written communication skills
Preferred Qualifications
- Expertise in first principles (thermodynamics, reaction modeling, heat transfer, mass transfer principles), hybrid modeling. Ability to develop practical process models for real-time applications is a strong plus.
- Experience deploying Interpretable Machine Learning or Explainable AI and knowledge of Shapley values and plots
- Experience in cloud-based code development and deployment environments such as AWS SageMaker.
- Familiarity with cloud computing based data-warehouses such as Snowflake or Redshift, and relational SQL databases.
- Familiarity with feedback control algorithms, real-time communication protocols, industrial process historians, and industrial automation platforms such as DeltaV and ASPEN.
- Experience in data visualization and real-time GUIs using Streamlit, Plotly, Spotfire, etc.
- Knowledge of Cell Culture, Fermentation and Vaccines Conjugation
Work Location Assignment: Flexible
Work Location Assignment: Remote
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
