Categories: Pharmaceutical, Bioinformatics, Research, IT

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 division. In 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

• Bachelor’s 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! 
Know anybody who might be interested? Refer this job!

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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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

02/2/2026

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