Merck & Co., Inc. (also known as Merck Sharp & Dohme LLC) in Rahway, NJ, is hiring a Computational Biologist/Data Scientist to deliver protein data science solutions with impact across R&D, manufacturing, and diagnostics. You will combine structural biology, bioinformatics, immunology, and cloud engineering to solve real-world problems.

What You'll Do

Execute data pipelines to deliver engineered proteins for experimental validation.
Identify, evaluate, and benchmark available protein engineering tools from published literature.
Implement and develop documented and reusable cloud data pipelines.
Participate in choosing the right tools and right infrastructure for data science projects.
Access, clean, and prepare data, ensuring it can be reused as needed.
Provide precise and timely communication and collaboration with diverse stakeholders.
Communicate intensively with other platforms/competencies to comprehend new trends and methodologies.
Understand the business context of the decisions to be supported.
Build and maintain knowledge on data sources, data quality and metadata.

What We're Looking For

MSc Degree in Computer Science, Chemistry, Bioinformatics, Mathematics, Statistics, or a related field.
Experience with Python/R, Databricks/HPC, APIs, and readiness to learn new software engineering skills.
Hands-on experience with computational biology tools and other life science topics.
Understanding and knowledge of biological databases such as InterPro, UniProt, etc.
Passion for science and good quality code.
Demonstrated communication and interpersonal skills, including ability to present to diverse audiences.
Experience with version control systems such as Git and other collaboration tools.
Ability to work both independently and collaboratively within a globally dispersed team.
Experience with design of innovative experiments, specifically to idea generation, idea incubation, and/or experimentation, identifying tangible and measurable criteria.

Technical Stack

Languages & Tools: Python, R
Platforms: Databricks, HPC
Tools & Practices: APIs, Git, Cloud data pipelines
Domain: Computational biology tools, Biological databases (InterPro, UniProt)

Team & Environment

You will be part of the Animal Health IT Advanced Analytics team.

Benefits & Compensation

Competitive salary
Pension and health insurance contributions.
Internal reward system plus referral program.
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 (meal vouchers, Lítačka, sport, culture, health, travel, etc.).
Multisport Card.
Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programs.
Up-to-date laptop and iPhone.
Parking in the garage for drivers or showers for bikers.