Role: Senior Clinical Data Scientist I
Location: Warsaw
Model: hybrid 3+2
Job descriptionSenior Clinical Data Scientist I is responsible for developing CM functionalities. May coordinate work of other personnel developing standard and/or study-specific functionalities. Acts as subject matter expert for selected CM functionalities.
Works closely with RbQM leads and other Data Scientists.
Typical Accountabilities- Independent delivery: Will work independently and take responsibility for specific CM deliveries.
- R programming: Demonstrates good R programming skills.
- Standard CM functionalities: Can participate in development of new standard CM functionalities. Tasks can involve gathering of requirements, programming, testing and documentation.
- Study-specific CM analyses: Can design, develop and lead development of study specific CM analyses. Tasks can involve gathering of requirements, programming, testing, documentation, coordination of work of other involved personnel.
- Data mapping: Can design, develop and lead development of data mapping to CM functionalities. Tasks can involve gathering of requirements, programming, testing, documentation and coordination of work of other involved personnel.
- Maintenance and subject matter expertise: Can be responsible for maintenance of data mapping and study specific CM analyses to ensure they continue to work in line with requirements; acts as a subject matter expect.
- Continuous improvement: Identifies opportunities to improve deliveries and best practice.
- Problem solving: Provides practical solutions for problems.
- Leadership: Leads delivery of specific tasks with other CM staff.
- Training and mentoring: Can contribute to function by training and mentoring of more junior staff.
- Project leadership: Can lead activities related to development of CM functionalities for a study or project.
Essential
- Educational degree (BSc/Msc/PhD) in Life Science, Computer Science or Information Science and 2 years of experience in the application of information and knowledge management in a clinical or scientific setting, or equivalent combination of education and experience.
- Has good knowledge of R programming language.
- Good communication skills in both written and spoken English.
- Team player.
- Has basic knowledge of SQL.
Desirable
- Previous knowledge of at least one BI platform is an advantage.
- Previous experience in life science and clinical studies is an advantage.
Date Posted
04-wrz-2026Closing Date
10-wrz-2026AstraZeneca 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.
Skills Required
- Bachelor’s, master’s, or doctoral degree in Life Science, Computer Science, or Information Science, or equivalent education and experience
- Two years of experience applying information and knowledge management in a clinical or scientific setting, or equivalent combination of education and experience
- Good knowledge of the R programming language
- Good written and spoken English communication skills
- Basic knowledge of SQL
- Team-player ability
- Previous knowledge of at least one BI platform
- Previous experience in life sciences and clinical studies
AstraZeneca Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.
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Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
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Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
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Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.
AstraZeneca Insights
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