We are looking for a Data Science Specialist for our client, a global, science-driven pharmaceutical company with a long-standing focus on research, innovation, and improving health worldwide. With manufacturing and research operations across multiple regions, the company operates in a highly regulated environment, where quality, data integrity, and scientific rigor are essential.
About the Role
The S&T Data Science & Biostatistics team plays a key role in enabling data-driven decision-making across global animal health manufacturing. We are looking for a Data Science Specialist with a strong background in statistics and applied analytics to support complex pharmaceutical manufacturing processes.
This role goes beyond standard data science use cases. You will work with limited and imperfect datasets, black-box bioprocesses, and highly regulated environments, where robust statistical design, simulation, and interpretation are critical.
You will contribute to areas such as quality control, yield optimization, maintenance, deviation management, and regulatory submissions, while collaborating with international teams across Operations, Quality, Engineering, and Regulatory functions.
Key Responsibilities
- Lead end-to-end data science and statistical projects addressing manufacturing challenges
- Apply advanced statistical and analytical techniques including:
- DOE, SPC, regression, GLMs
- Multivariate analysis, simulations, optimization
- Predictive modeling, time series, machine learning
- Assess data quality, manage metadata awareness, and prepare analytical reports
- Develop reproducible, well-documented code and analytical pipelines
- Automate repeatable analyses and integrate analytics into operational workflows
- Translate complex statistical results into clear, actionable insights for both technical and non-technical stakeholders
- Support documentation for regulatory submissions and audits
- Stay up to date with modern analytics, statistics, and machine learning methods
- Collaborate closely with global cross-functional teams
Qualifications
- MSc or higher in Statistics, Mathematics, Computer Science, Physics, Economics, or a related field
- At least 1–2 years of hands-on experience in data science, statistics, or biostatistics
- Experience in pharmaceutical, manufacturing, or regulated environments is an advantage
Required Skills
- Strong data analysis and statistical foundation
- Practical experience with:
- Statistical modeling, simulations, machine learning
- Working with incomplete or imperfect data
- Proficiency in R or Python
- Good coding practices and experience with version control (Git)
- Strong analytical thinking and problem-solving skills
- Excellent communication and interpersonal skills
- Comfortable working independently and in a global team environment
Nice to Have
- Experience with distributed computing environments (e.g. Spark)
- Exposure to Agile / DevOps tools (JIRA, Confluence)
- Experience with regulatory reporting or audits
- Willingness to travel occasionally
What we can offer
- Salary above industry standard, reflecting the level of expertise and impact of the role
- Hybrid working model, with flexibility to work remotely and a minimum of 1 day per week onsite
- Opportunity to work in a regulated, global pharmaceutical environment, applying advanced statistics and data science to real manufacturing challenges
- Long-term cooperation, including the possibility of transitioning to an internal position within the organization
- Exposure to international projects and cross-functional collaboration across Operations, Quality, Engineering, and Regulatory teams
- Access to a broad range of employee benefits, supporting both personal development and work-life balance
- A stable and structured working environment with room for career growth and continuous learning
- Clear project ownership and the opportunity to see tangible business impact of your work
Contract duration: 1 year with the possibility of extension
Location: Prague, Czech Republic
Working model: Hybrid (minimum 1 day onsite per week)
If this opportunity has caught your interest, please send us your CV and we will be happy to discuss the role with you in more detail.
Ondřej Nešpor
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