
Multinational pharmaceutical company.
AI Research Scientist (R2) at Merck
About the role
Job Description:
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 one energetic, forward-thinking professional. It is a AI Research Scientist position (1-2+ years' experience) in our Technology Center in Singapore.
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
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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
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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
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Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company
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Assist in technical training to up-skill colleagues to raise the data science competency levels within the company
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Proactively scan and keep up to date with AI research
Requirements
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Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Computer Vision, Image processing is highly preferred
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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
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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)
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Hands-on code development experience and familiarity with the Python scientific computing stacks
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Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
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Proficiency in GenAI, deep learning, NLP, CV, and ML frameworks, other AI disciplines regarded useful
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Familiarity with developing and deploying within a cloud-based infrastructure and services (AWS or MS Azure environment) is plus
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Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, or commercial is plus
What we offer:
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Exciting work in a great team, global projects, international environment
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Opportunity to learn and grow professionally within the company globally
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Hybrid working model, flexible role pattern
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Internal reward system plus referral program
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Competitive salary, incentive pay, and many more
Required Skills:
Artificial Intelligence (AI), Bioinformatics, Communication, Computer Science, Computer Vision, Data Analysis, Data Science, Deep Learning, Foster Innovation, Generative AI, Global Team Collaboration, Image Processing, Information Communication Technology (ICT), Interpersonal Communication, Machine Learning (ML), Natural Language Processing (NLP), Personal Development Planning, Professional Development, Scanning, Scientific Research, Software Development, Team Collaboration
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: VISA Sponsorship:Travel Requirements:
Flexible Work Arrangements:
Hybrid
Shift: Valid Driving License:Hazardous Material(s):
Job Posting End Date:
07/31/2026
**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.
Required skills
Machine learning
Generative AI
Model evaluation
Proof-of-concept development
Research methods
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About Merck

Merck
PublicMultinational pharmaceutical company.
10,001+
Employees
Rahway
Headquarters
$208B
Valuation
Reviews
10 reviews
4.3
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
4.5
Career
3.5
Management
4.0
78%
Recommend to a friend
Pros
Supportive management and colleagues
Excellent health benefits and retirement plans
Flexible working hours and remote work options
Cons
High-pressure and demanding work environment
Limited career advancement opportunities
Pay issues for entry-level positions
Salary Ranges
2,514 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Director
Junior/L3 · Data Scientist
0 reports
$146,595
total per year
Base
-
Stock
-
Bonus
-
$124,607
$168,583
Interview experience
6 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
17%
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Background Check
6
Offer
Common questions
Behavioral/STAR
Past Experience
Technical Knowledge
Culture Fit
Case Study
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