Jobs
Job Description:
Main Responsibilities:
We are seeking a highly skilled AI scientist to join our team and drive innovation in AI-powered drug evaluation and development. This role focuses on building and optimizing advanced AI systems for drug evaluation and development. The ideal candidate will combine deep technical expertise with domain knowledge in pharmaceutical R&D, enabling rapid iteration and deployment of cutting-edge solutions.
Qualifications:
-
PhD or Master with equivalent practical experience in Computational Chemistry, Computational Biology, AI, Machine Learning, or a related technical field.
-
Experience in AI-based small‑molecule drug evaluation and development is required.
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Experience in disease biology and target research is highly desired, especially the ability to connect target biology with chemical design strategies.
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Experience in drug discovery and development is highly desired, including familiarity with real R&D decision processes and project milestones.
-
Deep understanding and experience of graph neural networks, generative models and other deep learning models for drug discovery applications, including structure prediction, molecule design, property prediction, etc.
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Hands-on experience with ML frameworks such as Py Torch, Tensor Flow, JAX, and scientific software such as Num Py, Sci Py, or Pandas.
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Iterate collaboratively with scientists and domain experts in biology and chemistry. Experience of integrating scientific insights and data into AI models.
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Ability to learn quickly in a fast-paced environment.
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Excellent communication skills for cross-disciplinary collaboration.
Required Skills:
Academic Conferences, Academic Conferences, Bioanalytical Analysis, Bioanalytical Techniques, Biochemical Assays, Bioinformatics, Biomarker Development, Clinical Judgment, Computational Biology, Computational Chemistry, Computational Neuroscience, Creativity, Detail-Oriented, Drug Development, Drug Discovery Process, Ethical Compliance, Immunohistochemistry (IHC), In Vivo Pharmacology, Leadership, Management Process, Mass Spectrometry Analysis, Molecular Biology, Project Management, Python for Data Analysis, Py Torch {+ 5 more}
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:
No Travel Required:
Flexible Work Arrangements:
Not Applicable
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
no
Job Posting End Date:
06/30/2026
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.
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About Merck

Merck
PublicMultinational 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
Director
Director · Associate Director, D&A Strategy
1 reports
$176,890
total / year
Base
$153,800
Stock
-
Bonus
-
$176,890
$176,890
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
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