Associate Data Manager, Clinical Data Sciences
About this opportunity
Use Your Power for Purpose
At Pfizer, our Worldwide Medical and Safety colleagues are pivotal in bridging evidence-based medical decision support with stakeholders to enhance health and treatment outcomes. Whether you are developing frameworks to ensure our evidence is scientifically robust, offering unbiased and medically essential expertise, or exploring ways to address data gaps, our mission remains clear: to empower healthcare decisions regarding the safe and appropriate use of medicines for patients. You will play a crucial role in improving patients' lives by ensuring the accuracy and integrity of clinical data. Your work will directly impact the development of new treatments and therapies, helping to bring innovative solutions to patients in need.
What You Will Achieve
Engage in Data Monitoring and Management (DMM) activities, including data review, query management, and investigating logic check flags.
Ensure the quality of database design through documentation, testing, validation, and implementation of clinical data collection tools or systems.
Serve as the first Point of Contact for customers needing assistance with Clinical Trial Management System (CTMS) questions and issues.
Adhere to applicable Standard Operating Procedures (SOPs) and working practices.
Collaborate with Study Team Points of Contact, Document Owners, and Trial Master File (TMF) Study Owners to resolve document-related discrepancies and issues.
Contribute to process improvement initiatives and additional projects as they arise.
Here Is What You Need (Minimum Requirements):
BA/BS with any years of experience
Demonstrated experience of ICH/GCP (International Council for Harmonization/Good Clinical Practice) documentation requirements
Hands-on experience with electronic documentation management systems and/or web-based data management systems
Awareness of the clinical development process, including a deep understanding of the principles of Good Clinical Practice
Solid grasp of regulatory requirements and relevant data standards
Strong oral and written English communication skills
Proficiency in Microsoft Office Suite
Bonus Points If You Have (Preferred Requirements):
Experience with clinical trial management systems (CTMS)
Familiarity with data validation and quality control processes
Ability to work collaboratively in a team environment
Strong problem-solving skills and attention to detail
Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use
Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .

Medical
Job details
How this role compares
Computed from every other active Medical Affairs role in our database, not just this employer's listings.
We currently track 218 comparable Manager Medical Affairs roles across 70 biopharma companies.
Salary context
31 of 218 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 218 comparable roles
+ 31 more countries
Seniority mix
218 of 218 peers have a known seniority level
Therapeutic area mix
75 of 218 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.