refresh

热门公司

Trending

招聘

JobsMerck

AI Research Scientist

Merck

AI Research Scientist

Merck

CZE - Central Bohemian - Prague (Five)

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

Pension

Parental Leave

Unlimited PTO

Remote Work

Flexible Hours

Gym

Learning Budget

Healthcare

Parental Leave

Unlimited Pto

Remote Work

Flexible Hours

Gym

Learning

Required Skills

Python

Artificial Intelligence

Machine Learning

Generative AI

Natural Language Processing

Computer Vision

Deep Learning

Data Science

Mathematics

Statistics

Analytics

Job Description:

Join the **premier biopharmaceutical company **that has the global presence and helps to save lives and seize the opportunity to be a part of a global Artificial Intelligence organization in Prague.

Our IT team partners with the business to design innovative solutions across research, manufacturing, commercial, and animal health. You’ll help to shape company-wide products using generative AI and intelligent agents to boost productivity and drive innovation.

We are seeking two energetic, forward-thinking professionals – one medior (2 years' experience, ideally on full-time, but part-time is also possible in justified cases – e.g. return from maternity/paternity leave, etc.) and one senior (5 years' experience) 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.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Primary Responsibilities

  • Perform research, assessments, and technical evaluations of AI models, methods, and frameworks to solve problems or derive benefits 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

  • Lead delivery of smaller projects – understand the problem, propose technology solution, and align with stakeholders on expected results outcomes

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

  • Assist in technical training to up-skill colleagues to raise the data science competency levels within the company

  • Proactively scan and keep up to date with AI research

Requirements

  • Bachelor's, Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, Computer Vision, Image processing 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

  • Relevant working experience in fields related to artificial intelligence, machine learning, data science

  • Understanding of artificial intelligence research landscape and ability to review research publications, particularly in one of the following fields: generative AI, Machine Learning (ML), Natural Language Processing (NLP), or Computer Vision (CV)

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

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

  • Proficiency in GenAI, deep learning, NLP, CV, and ML frameworks, other AI disciplines regarded useful

  • Familiarity with developing and deploying within a cloud-based infrastructure and services (AWS or MS Azure environment) is plus

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

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

  • 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 according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card

  • Vodafone, Raiffeisen Bank, Foodora, and other discount programs

  • Up-to-date laptop and i Phone

  • Parking in the garage for drivers or showers for bikers

  • Competitive salary, incentive pay, and many more

Ready to take up the challenge? Apply now!Know anybody who might be interested? Refer this job!

The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the Apply button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/

Required Skills:

Amazon Web Services (AWS), Analytics, Artificial Intelligence (AI), Bioinformatics, Computer Vision, Data Science, Generative AI, Machine Learning (ML), Mathematics, Microsoft Azure, Natural Language Processing (NLP), Physics, Python (Programming Language), Statistics

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:

Yes

Travel Requirements:

No Travel Required:

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

02/14/2026

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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Merck

Merck

Merck

Public

Multinational pharmaceutical company.

10,001+

Employees

Rahway

Headquarters

Reviews

3.6

19 reviews

Work Life Balance

3.8

Compensation

3.2

Culture

3.0

Career

2.8

Management

2.5

60%

Recommend to a Friend

Pros

Large company with networking opportunities

Good work-life balance

Decent benefits and salary

Cons

Limited upward and lateral mobility

Slow promotion timeline

Favoritism in advancement

Salary Ranges

2,500 data points

Junior/L3

Senior/L5

Director

Junior/L3 · Data Scientist

0 reports

$146,595

total / year

Base

-

Stock

-

Bonus

-

$124,607

$168,583

Interview Experience

20 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 10%

Neutral 50%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Final Decision

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Case Study