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SM/ AD, MCICC - AI

MSD

SM/ AD, MCICC - AI

full-timePosted: Nov 21, 2025

Job Description

Categories: Pharmaceutical, Artificial Intelligence, Research & Development, Drug Discovery

Job Description

We are seeking a highly skilled candidate to join our team and drive innovation in AI-powered drug evaluation and development. This role focuses on building and optimizing advanced AI systems, including large language models (LLMs) and molecular generation and property prediction models. 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, Computer Science, Machine Learning, or a related technical field.

  • Experience in disease and target research is highly desired.

  • Experience in drug discovery and development is highly desired.

  • Deep understanding and experience of LLM model architecture, training, and application in literature mining and scientific insights generation, including deployment, post-training, reasoning, tool-use, alignment, agents, as well as reinforcement learning and fine-tuning.

  • 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.

  • Experience using ML frameworks such as PyTorch, TensorFlow, JAX, and scientific software such as NumPy, SciPy, or Pandas.

  • Iterate collaboratively with scientists and domain experts in biology and chemistry. Experience of integrating scientific insights and data into AI models.

  • Ability to learn quickly in a fast-paced environment.

  • Excellent communication skills for cross-disciplinary collaboration.

Required Skills:

Academic Conferences, Academic Conferences, Accountability, Bioanalytical Analysis, Bioanalytical Techniques, Biochemical Assays, Bioinformatics, Biomarker Development, Clinical Judgment, Computational Biology, Computational Chemistry, Computational Neuroscience, Computer Science, Creativity, Detail-Oriented, Drug Development, Drug Discovery Process, Ethical Compliance, Immunohistochemistry (IHC), In Vivo Pharmacology, Large Language Models (LLMs), Machine Learning (ML), Mass Spectrometry Analysis, Project Management, Science {+ 4 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:

02/28/2026

*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.

Locations

  • Beijing, Beijing, China

Salary

Estimated Salary Rangemedium confidence

94,500 - 165,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)advanced
  • Graph Neural Networksadvanced
  • Generative Modelsadvanced
  • PyTorchadvanced
  • Computational Chemistryadvanced
  • Drug Discoveryintermediate
  • Bioinformaticsintermediate

Required Qualifications

  • PhD or Master's in Computational Chemistry, Computational Biology, Computer Science, Machine Learning, or related field (degree)
  • Experience in LLM model architecture, training, and application (experience)
  • Experience in graph neural networks and generative models for drug discovery (experience)
  • Experience in disease and target research (highly desired) (experience)
  • Experience in drug discovery and development (highly desired) (experience)

Responsibilities

  • Build and optimize advanced AI systems including large language models (LLMs)
  • Develop molecular generation and property prediction models
  • Drive innovation in AI-powered drug evaluation and development
  • Deploy LLM models for literature mining and scientific insights generation
  • Iterate collaboratively with scientists and domain experts in biology and chemistry
  • Integrate scientific insights and data into AI models

Benefits

  • Professional Development: Work with cutting-edge AI technologies in pharmaceutical R&D
  • Career Growth: Rapid iteration and deployment in fast-paced innovative environment
  • Collaboration: Cross-disciplinary collaboration with biology and chemistry experts
  • Work Environment: Location in modern Wangjing Park campus, Beijing

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Tags & Categories

MSDMerckPharmaPharmaceuticalArtificial IntelligenceResearch & DevelopmentDrug Discovery

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MSD logo

SM/ AD, MCICC - AI

MSD

SM/ AD, MCICC - AI

full-timePosted: Nov 21, 2025

Job Description

Categories: Pharmaceutical, Artificial Intelligence, Research & Development, Drug Discovery

Job Description

We are seeking a highly skilled candidate to join our team and drive innovation in AI-powered drug evaluation and development. This role focuses on building and optimizing advanced AI systems, including large language models (LLMs) and molecular generation and property prediction models. 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, Computer Science, Machine Learning, or a related technical field.

  • Experience in disease and target research is highly desired.

  • Experience in drug discovery and development is highly desired.

  • Deep understanding and experience of LLM model architecture, training, and application in literature mining and scientific insights generation, including deployment, post-training, reasoning, tool-use, alignment, agents, as well as reinforcement learning and fine-tuning.

  • 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.

  • Experience using ML frameworks such as PyTorch, TensorFlow, JAX, and scientific software such as NumPy, SciPy, or Pandas.

  • Iterate collaboratively with scientists and domain experts in biology and chemistry. Experience of integrating scientific insights and data into AI models.

  • Ability to learn quickly in a fast-paced environment.

  • Excellent communication skills for cross-disciplinary collaboration.

Required Skills:

Academic Conferences, Academic Conferences, Accountability, Bioanalytical Analysis, Bioanalytical Techniques, Biochemical Assays, Bioinformatics, Biomarker Development, Clinical Judgment, Computational Biology, Computational Chemistry, Computational Neuroscience, Computer Science, Creativity, Detail-Oriented, Drug Development, Drug Discovery Process, Ethical Compliance, Immunohistochemistry (IHC), In Vivo Pharmacology, Large Language Models (LLMs), Machine Learning (ML), Mass Spectrometry Analysis, Project Management, Science {+ 4 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:

02/28/2026

*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.

Locations

  • Beijing, Beijing, China

Salary

Estimated Salary Rangemedium confidence

94,500 - 165,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)advanced
  • Graph Neural Networksadvanced
  • Generative Modelsadvanced
  • PyTorchadvanced
  • Computational Chemistryadvanced
  • Drug Discoveryintermediate
  • Bioinformaticsintermediate

Required Qualifications

  • PhD or Master's in Computational Chemistry, Computational Biology, Computer Science, Machine Learning, or related field (degree)
  • Experience in LLM model architecture, training, and application (experience)
  • Experience in graph neural networks and generative models for drug discovery (experience)
  • Experience in disease and target research (highly desired) (experience)
  • Experience in drug discovery and development (highly desired) (experience)

Responsibilities

  • Build and optimize advanced AI systems including large language models (LLMs)
  • Develop molecular generation and property prediction models
  • Drive innovation in AI-powered drug evaluation and development
  • Deploy LLM models for literature mining and scientific insights generation
  • Iterate collaboratively with scientists and domain experts in biology and chemistry
  • Integrate scientific insights and data into AI models

Benefits

  • Professional Development: Work with cutting-edge AI technologies in pharmaceutical R&D
  • Career Growth: Rapid iteration and deployment in fast-paced innovative environment
  • Collaboration: Cross-disciplinary collaboration with biology and chemistry experts
  • Work Environment: Location in modern Wangjing Park campus, Beijing

Target Your Resume for "SM/ AD, MCICC - AI" , MSD

Get personalized recommendations to optimize your resume specifically for SM/ AD, MCICC - AI. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "SM/ AD, MCICC - AI" , MSD

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

MSDMerckPharmaPharmaceuticalArtificial IntelligenceResearch & DevelopmentDrug Discovery

Answer 10 quick questions to check your fit for SM/ AD, MCICC - AI @ MSD.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.