Job Description

Our IT team operates as a business partner proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver the services and solutions that help everyone to be more productive and enable innovation.

We are seeking energetic, forward-thinking professionals to join our Information Technology Center in Prague. You will have the opportunity to work on global teams to identify and tackle the biggest opportunities and challenges at the intersection of healthcare, information and technology. We offer project-based rotations to help with your professional development, and a flat, collaborative environment.

Primary Responsibilities

• Perform research, assessments and technical evaluations of AI models, methods and frameworks to solve problems or derive benefit to company AI capabilities and generative AI program

• Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery

• Collaborate with research teams on application of AI in drug design or target identification

• Proactively scan and keep up to date with AI research

• Support the creation of intellectual property

• Develop and implement methodologies, benchmarks, toolkits for different AI approaches

• Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company

Requirements

• Bachelors, Masters or PhD in Artificial Intelligence, Machine Learning, or Computer Science is highly preferred

• We evaluate candidates on a case-by case basis but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, and Bioinformatics

• We seek candidates that combine technical depth with the ability to work collaboratively and create impact

• 2 years of relevant working experience in fields related to artificial intelligence, machine learning, data science

• Proficiency in Generative AI, Deep Learning, and Machine Leaning frameworks is regarded useful

• Experience in application of AI in protein design or cheminformatic is a plus

• Understanding of artificial intelligence research and ability to review research publications

• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity

• Hands-on code development experience and familiarity with the python scientific computing stacks

• Familiarity with developing and deploying within a cloud based infrastructure and services environment is plus

• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions is plus

Required Skills:

Artificial Intelligence (AI), Machine Learning (ML)

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:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

06/7/2026

*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.