Job Description
The Position
We are seeking a Research Enablement Support Specialist to help support and enhance scientific workflows in Bioinformatics area within our IT this role you will assist in developing maintaining and optimizing workflows data environments and HPC resources that enable population PK/PD modeling and bioinformatics analyses. The ideal candidate has practical experience with R (Posit/RStudio) and exposure to NONMEM/PsN with solid foundational programming and problem-solving skills.
You will be collaborating closely with PK/PD modelers statisticians and bioinformaticians to ensure reliable scalable and well-documented workflows that accelerate drug discovery and development.
What will you do
- Get exposed to troubleshooting and maintenance of pipelines and workflows supporting PK/PD modeling and bioinformatics analyses.
- Assist with running and supporting population modeling workflows using NONMEM and PsN including basic model execution monitoring and routine post-processing.
- Help build and maintain R-based analytical environments (Posit/RStudio Server/Workbench Connect Package Manager) including package/library management and environment setup.
- Use R (and basic Python) to create scripts for data processing automation and visualization
- Support integration of Jupyter notebooks and RStudio/Posit for exploratory analysis and reproducible reporting.
- Participate in HPC job submission and monitoring (e.g. Slurm) learn to optimize runs under mentorship and assist with containerized workflows as needed.
- Troubleshoot common software environment and data issues; provide user support onboarding and documentation of standard procedures.
- Follow established best practices for version control reproducible environments and data provenance; contribute to improving documentation and SOPs.
- Stay current with relevant tools and practices in PK/PD R/Python ecosystems and scientific computing; proactively develop skills in agreed growth areas.
Qualifications skills & experience required
- Bachelors degree in computer science Bioinformatics Biostatistics Computational Biology Pharmaceutical Sciences or a related field; or equivalent practical experience
- Hands-on experience with R for data analysis and visualization; familiarity with relevant packages
- Foundational Python skills for scripting and automation tasks
- Exposure to PK/PD or pharmacometrics workflows and tooling (e.g. NONMEM PsN) and eagerness to deepen expertise
- Comfort using Linux-based systems and command-line tools at admin level
- Basic experience with version control (Git) and reproducible environments (e.g. renv or similar)
- Familiarity with job schedulers (e.g. Slurm/PBS) or willingness to learn HPC job submission and monitoring
- Strong problem-solving mindset attention to detail and willingness to document and share learnings
- Effective communication and collaboration skills; customer-oriented approach to user support
Nice to have
- Experience administering Posit/RStudio environments (Workbench/Server Connect Package Manager) and managing R package repositories
- Practical experience with NONMEM diagnostics and workflow automation (e.g. PsN pipelines VPCs bootstraps)
- Experience with Jupyter notebooks Quarto/R Markdown Shiny dashboards or reporting automation
- Familiarity with containerization (Docker Singularity/Apptainer) for modeling workflows
- Exposure to workflow management tools (Nextflow Airflow) and basic data engineering
- Knowledge of pharmacometrics practices and complementary tools (Monolix)
- Experience with cloud platforms (AWS) for scalable compute and storage; interest in infrastructure-as-code
- Basic understanding of database technologies (SQL/NoSQL) and data versioning tools
What we offer
- Exciting work in a great team global projects international environment
- Opportunity to learn and grow professionally within the company globally
- Hybrid working model flexible role pattern (e.g. even 80% full-time is possible in justified cases)
- Pension and health insurance contributions
- Internal reward system plus referral programme
- 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution
- Cafeteria for tax free benefits according to your choice (meal vouchers Lítačka sport culture health travel etc.) Multisport Card
- Vodafone Raiffeisen Bank and Foodora discount programmes
- Up-to-date laptop and iPhone
- Parking in the garage showers refreshments massage chairs library music corner
- Competitive salary incentive pay and many more
Ready to take up the challenge Apply now!
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Required Skills:
Business Intelligence (BI) Data Analysis Database Administration Data Engineering Data Management Data Modeling Data Visualization Design Applications Microsoft Azure Software Development
Preferred Skills:
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Employee Status:
Regular
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Hybrid
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Job Posting End Date:
02/2/2026
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