Data De-identification Technology Lead / Associate Director, Specialist Programmer

AstraZeneca; Województwo mazowieckie; Hybrid; PLN 100,000 - 130,000; Full time

Job summary

A leading pharmaceutical company in Warsaw is seeking a Data De-identification Technology Lead to design and implement privacy-preserving data technologies. Responsibilities include leading the delivery of solutions in compliance with regulations, evaluating new technologies, and mentoring a development team. Successful candidates will have strong AWS and Python experience, along with a relevant degree.

Benefits

Hybrid work model

Training and development

Health insurance

Qualifications

• Experience in developing privacy-preserving data technologies.
• Proven track record in programming leadership.
• Understanding of quality and compliance in systems.

Responsibilities

• Lead the design and delivery of data technologies for de-identification.
• Evaluate emerging privacy-enhancing technologies.
• Coordinate solutions across data types with various teams.

Skills

Hands-on experience with AWS services

Proficiency with Starburst

Strong Python development

Excellent communication

Deep familiarity with GitHub

Education

Degree in a relevant field or equivalent experience

Job description

Overview

Location: Warsaw, Poland | Hybrid model of work: 3 days in office, 2 remote per week

Data De‑identification Technology Lead

AstraZeneca is an innovative, mission‑driven place to work where cutting-edge science meets real‑world impact. Our Data De‑identification Team is committed to protecting patient privacy and enabling transparency while accelerating medical research across the portfolio.

The role

Lead the design and delivery of privacy‑preserving data technologies that enable compliant de‑identification and anonymization at scale. You will design the strategic technology blueprint in close partnership with the Process Owner and System Owner, drive cross‑functional implementation with IT, Data Office, Biometrics, and maintain validated, audit‑ready tools. You will scout innovations inside and outside AstraZeneca, mentor programmers, standardize best practices, and represent AZ in external forums (e.g., PhUSE, TransCelerate, CDISC).

Responsibilities

• Blueprint design: Design a strategic architecture aligned to business goals and vision, collaborating closely with the Process Owner and System Owner.
• Innovation scouting: Evaluate emerging privacy‑enhancing or data processing technologies, and translate them into scalable capabilities.
• Tooling and processes: Develop and maintain production de‑identification pipelines, metadata‑driven automation, and audit‑ready controls.
• Programming leadership: Lead code reviews, manage improvement projects; promote standards and reusable components; mentor and support the team’s technical skills development.
• Validation and compliance: Ensure computer system validation and an audit‑ready state; champion peer review and robust controls.
• Cross‑functional delivery: Coordinate end‑to‑end solutions across data types with IT, Data Office, Biometrics, and various Robotics & Automation Teams.
• External engagement & people development: Influence standards and support recruitment, training, and community practices.

Key requirements

• Cloud & data platforms: Hands‑on experience with AWS services for data/compute; proficiency with Starburst for query federation and governance.
• Software engineering: Strong Python development; solid CI/CD practices (e.g., pipelines, environments), unit testing frameworks, and automated quality gates.
• Collaboration & leadership: Track record driving improvements in tools/processes; excellent communication and stakeholder management across technical and non‑technical teams.
• Quality & compliance: Experience with audits and validated systems; truth‑seeking, quality‑focused mindset; embraces peer review.
• Version control & DevOps: Deep familiarity with GitHub (actions, workflows, code review, branching strategies).

Additional benefits (nice to have)

• SAS expertise and knowledge of clinical data analysis/reporting in regulated environments.
• Familiarity with privacy‑enhancing tech, synthetic data, and re‑identification risk metrics.
• Experience with additional languages or platforms and project/product leadership.

Education

• Degree in a relevant field or equivalent experience.

Date Posted

09‑paź‑2025

Closing Date

23‑paź‑2025

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry‑leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non‑discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.