Senior Clinical Data Scientist I
About this opportunity
Role: Senior Clinical Data Scientist I
Location: Warsaw
Model: hybrid 3+2
Job description
Senior 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.
Education, Qualifications, Skills and Experience
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-2026
Closing Date
10-wrz-2026
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.
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 114 comparable Senior Biostatistics & Data Science roles across 27 biopharma companies.
Salary context
54 of 114 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 114 comparable roles
+ 9 more countries
Seniority mix
114 of 114 peers have a known seniority level
Therapeutic area mix
10 of 114 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.
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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.