Machine Learning Engineer in Bioinformatics

Job Description

As a Machine Learning Engineer in Bioinformatics you will:

• collaborate with a team of software engineers, machine learning experts and bioinformaticians
• develop new solutions with real-world impact that help scientists understand disease and invent treatment

What should you know / have:

• Current MSc or PhD student
• Strong programming skills
• Strong knowledge of Python
• Familiarity with UNIX systems and bash scripting
• Machine learning experience (Scikit-learn, pytorch)
• we will be happy if you know some of these:
  • data visualization (Matplotlib, Plotly)
  • Amazon Web Services (AWS)
  • basic statistics (R language)
  • Docker
  • backend development in Python (Flask, Django)
  • frontend development (HTML, JavaScript)

What will you do / learn:

• leverage cutting-edge computing resources (AWS, internal high-performance cluster) for executing computational tools on big biological datasets
• contribute to real-world applications of state-of-the-art technologies (machine learning, deep learning, NLP) on biological problems
• meet motivated and technically-skilled colleagues who will be happy to coach you on different topics from the industry
• establish relationships with scientists from our different laboratories around the World, with opportunities for short-term company visit abroad as part of your future career in our company.

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 in Prague, flexible role pattern

• 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, Foodora, and Mall.cz 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!

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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Amazon Web Services (AWS), Applied Engineering, Biodesign, Bioinformatics, Computational Biology, Computer Science, Convolutional Neural Networks (CNN), Data Engineering, Data Visualization, Design Applications, Django Web Framework, Flask (Web Framework), Information Security, Machine Learning, Natural Language Processing (NLP), Python (Programming Language), Python Matplotlib, Scikit-Learn, Social Collaboration, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing

Preferred Skills:

Job Posting End Date:

07/22/2025

*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.