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Senior Scientific Data Engineer / Data Analyst v Praha, Česko

Merck Sharp & Dohme Corp

  • HybridníKombinace kanceláře a práce na dálku

Praha, Česko

Do you enjoy data modeling, scripting in Python and SQL, and want to see the tangible results of your work?

Do you know how to integrate data into a data lake and find the opportunity to use your skills to save human lives appealing?

Senior Scientific Data Engineer / Data Analyst

We are looking for a Senior Scientific Data Engineer / Data Analyst to join us in the development of medicines and vaccines. Your role will be to bridge the gap between IT and laboratories. You will build reliable data foundations and integrate data into our data lake. The results of your work will directly serve scientists in designing new chemotherapies and medicines that save human lives worldwide. You will gain access to cutting-edge technologies and real-world scientific research where your work has a clear and meaningful purpose.

What exactly you will do

  • Perform hands-on data engineering , which includes designing, building, and maintaining data pipelines for processing experimental, chemical, and biological data.
  • Integrate scientific data into the data lake from various sources and prepare it for analysis.
  • Prepare data for AI/ML models used by scientists for chemical design and research workflows.
  • Ensure data connection and visualization in LiveDesign, DataGrok, and Spotfire platforms so researchers can work with them daily.
  • Collaborate closely with scientific and technology teams to help translate scientific questions into functional data solutions.


What you should have

  • At least 5 years of experience with the Databricks platform , which is essential for our data workflows.
  • At least 5 years of experience with SQL and Python for data modeling, scripting, coding, and ETL data transformations.
  • Understanding of AI/ML principles and the ability to prepare data for the deployment of these models.
  • Experience with scientific platforms (LiveDesign, DataGrok, Spotfire) , ideally combined with a background in chemical, biological, or pharmaceutical research.

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
  • Competitive salary & incentive pay
  • Pension and health insurance contributions
  • Internal reward system and referral scheme
  • 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, Foodora, and discount programes
  • Up-to-date laptop and iPhone
  • Parking in the garage, showers, refreshments, massage chairs, library, music corner

Ready to take up the challenge? Apply now!

Know anybody who might be interested? Refer this job!

Additional location(s) Compensation Information:

Required Skills:

Data Access, Data Analysis, Data Engineering, Data Modeling, Data Quality Improvement, Data Science, Data Services, Data Visualization, Predictive Modeling, Python (Programming Language), Reproducible Research, Software Development Life Cycle (SDLC), System Designs, TIBCO Spotfire, Workflow Analysis

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. 

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