Job Description

The Position

The Advanced Scientific Compute (ASC) team supports a growing ecosystem of HPC modules and scientific applications used by researchers across Our Company. This role provides dedicated engineering capacity to maintain, improve, and extend that ecosystem — reducing technical debt, optimizing scientific workflows, and responding quickly to researcher needs. The engineer will work closely with the US-based research community, with flexibility to collaborate across EU and US timezones, and will apply modern tooling including AI and GenAI to accelerate solution delivery.

What will you do?

• Maintain and improve the ecosystem of HPC modules and scientific applications used by Our researchers , ensuring builds are reproducible and consistent across clusters.
• Develop new software solutions in collaboration with researchers and HPC engineers — primarily Python — from build automation and internal tooling to researcher-facing applications, with full-stack capability where needed.
• Identify and address technical debt across supported tools and workflows — duplicated builds, version sprawl, and inconsistency between environments.
• Improve how researchers run scientific applications — cutting manual steps, shortening time to result, and making workflows behave predictably at scale.
• Respond to technical issues and researcher requests, providing timely resolution and clear communication.
• Apply AI and GenAI tooling to accelerate development, automate repetitive tasks, and improve researcher self-service.
• Manage the lifecycle of supported software — versioning, deprecation, and retirement — in agreement with the research community, keeping the supported estate current and manageable.
• Contribute to DevOps practices — CI/CD, version control, testing, and deployment pipelines for scientific software.

Qualifications, Skills & Experience Required

• 3+ years of software engineering experience, with strong Python skills.
• Experience maintaining and supporting software ecosystems — modules, libraries, or application portfolios — in a production or research environment.
• Familiarity with HPC or scientific computing environments (job schedulers, cluster workflows, or equivalent).
• DevOps fundamentals — version control (Git), CI/CD pipelines, automated testing, and containerisation (Docker) — applied to building and packaging software, not only deploying it.
• Ability to work flexibly across EU and US timezones to support researcher collaboration.
• Strong communication skills — able to engage directly with non-technical research users and translate their needs into engineering solutions.

Nice to have

• Full-stack development experience (web UI, REST APIs, or workflow tooling).
• Hands-on experience with AI/GenAI tooling — AI-assisted development and agentic coding tools, prompt engineering, or LLM-based automation of repetitive engineering tasks.
• Experience with Python packaging and environment management (Conda/mamba, pip, virtual environments) alongside the scientific Python stack (NumPy, SciPy, Pandas, Jupyter).
• Experience in pharma, biotech, or academic scientific computing environments.

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, 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:

Availability Management, Availability Management, Biodesign, Capacity Management, Change Controls, Cloud Engineering, Data Science, Design Applications, DevOps, DevOps Architecture, Git Version Control System, High Performance Computing (HPC), Incident Management, Information Management, Information Technology (IT) Infrastructure, IT Service Management (ITSM), Pandas (Software), Python (Programming Language), Python Numpy, Release Management, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Administration, System Designs {+ 2 more}

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully 
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:

No relocation

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

09/14/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.