Jobs at Pfizer

18,638 open positions

Pfizer, a leading global biopharmaceutical company, has expanded into digital health and data science to accelerate drug discovery and patient care. Its tech initiatives include AI‑driven molecule screening, cloud‑based clinical trial platforms, and mobile health apps that track medication adherence.

Pfizer hires software engineers, data scientists, cloud architects, cybersecurity analysts, product managers, and embedded systems engineers for its digital health division and R&D labs. Candidates can expect a structured interview pipeline that tests coding, problem‑solving, and domain knowledge, followed by a team‑fit assessment that emphasizes collaboration across research, regulatory, and commercial units.

Job Transparency provides Pfizer listings with exact salary ranges, real‑time employee sentiment scores, and interview experience ratings. This data lets candidates benchmark offers against peers, negotiate confidently, and identify roles that align with their career goals and compensation expectations.

No open positions at Pfizer right now.

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Frequently Asked Questions

What is it like to work at Pfizer?
Pfizer offers a culture of scientific curiosity and global impact, with teams that routinely collaborate across continents. Employees receive comprehensive benefits, flexible remote options for many tech roles, and structured career tracks that include mentorship, internal mobility, and continuous learning through sponsored certifications and conferences.
What types of positions are available at Pfizer?
Pfizer’s tech hiring spans software engineering (full‑stack, backend, mobile), data science (clinical analytics, AI/ML for drug discovery), cloud and DevOps (AWS/GCP expertise), cybersecurity (risk assessments, compliance), product management (digital health solutions), and embedded systems (medical device firmware). Roles exist in both corporate R&D hubs and regional offices worldwide.
How can I stand out as an applicant for Pfizer tech roles?
Tailor your résumé to highlight projects that intersect biology and technology—e.g., building predictive models for clinical outcomes or automating laboratory workflows. Showcase experience with regulatory standards (GxP, HIPAA) and demonstrate cross‑functional collaboration. Prepare for technical interviews by practicing algorithm problems in Python or Java, and for behavioral rounds by framing STAR stories that illustrate teamwork, problem‑solving under uncertainty, and impact on patient outcomes.

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