Level

Pfizer

Senior Associate, Senior Data Manager, Clinical Data Sciences

AI in this role

chatgptcopilot
ai-safety

Application Instructions: Please submit your resume in English when applying.

Work Location Assignment: Buenos Aires, Argentina (Complejo LUMINA – Office Park). This role follows a hybrid model. Colleagues are expected to work from the assigned Pfizer office 2–3 days per week, or as required by business needs.

Use Your Power for Purpose

Our mission is straightforward: support healthcare decisions that ensure the safe and effective use of medications. Whether you are developing the framework to ensure our evidence is scientifically robust, providing unbiased and medically essential expertise, or exploring ways to bridge data gaps, your role is vital. By ensuring our evidence is sound and offering necessary medical insights, we strive to improve patient care and treatment efficacy.

What You Will Achieve

In this role, you will:

  • Serve as Lead Data Manager for one or more clinical trials assuming responsibility for CDS activities including selection and application of data acquisition standards, database design (including specification documentation and testing of clinical data collection tools, both CRF and non-CRF, using an EDC system and/or other data collection systems), development and maintenance of the Data Management Plan, data review and query management, data access and visualization, Data Management metrics reporting, database release, and submission related activities.

  • Independently lead the daily DM activities and allocate study DM resource in the appropriate way.

  • Coach junior Data Managers in the study and perform peer review of study DM's deliverables for quality control.

  • Be responsible to achieve the study DM milestone on time with good quality.

  • In collaboration with the Clinical Data Scientist, ensure operational excellence across all CDS deliverables.

  • Ensure work carried out in accordance with applicable SOPs and working practices.

  • Ensure the required study-specific CDS documents in the Trial Master File (TMF) are of high quality and are filed contemporaneously to support downstream inspection and submission readiness activities.

  • Ensure operational excellence in collaboration with CDS for application of standards, data acquisition, proactive data review and query management, data cleaning, e-data processing, data access and visualization, DM metrics reporting, database release, and submission related activities.

  • Ensure lessons learnt during the course of the study are documented and shared with other study teams to facilitate cross study learning.

  • Be capable to contribute on the DM related continuous improvement activities

Here Is What You Need (Minimum Requirements)

  • Demonstrated knowledge of clinical development process including knowledge and understanding of the principles of GCP

  • Demonstrated knowledge of data management processes and principles in area of responsibility.

  • Working knowledge of all phases of clinical trials and ability to assess and determine study requirement from protocol review

  • Demonstrates strong verbal and written communication skills including ability to communicate remotely

  • Minimum 3 years Data Management experience required

  • Working knowledge of clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements

  • Proficient experience using commercial clinical data management systems and/or EDC products (e.g.  , Inform preferred)

  • Experience using data visualization tools (e.g. Spotfire,  J-Review) preferred

  • Familiarity with MedDRA/WHO-Drug

  • Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)

  • Bachelor’s degree minimum requirement. 

  • Experience of project management skill in terms of resource management and timeline and quality control preferred.

Bonus Points If You Have (Preferred Requirements)

  • Master's degree

  • Relevant pharmaceutical industry experience

  • Experience using data visualization tools

  • Proficient experience using commercial clinical data management systems and/or EDC products

  • Awareness of regulatory requirements and relevant data standards

  • Strong analytical and problem-solving skills

  • Ability to work collaboratively in a team environment

  • Excellent organizational and time management skills

  • 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

EEO (Equal Employment Opportunity) & 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, or disability.

 

 

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

How we rate this

Senior Associate, Senior Data Manager, Clinical Data Sciences at Pfizer rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI SafetyChatGPTCopilot

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Walk me through how you've used ChatGPT in your day-to-day work.
  3. What are the limits of Copilot that you've run into, and how did you work around them?

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  • List these exact terms on your resume: AI Safety, ChatGPT, and Copilot. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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