Clinical Pharmacology and AI/ML Fellow

BeiGene
Location
Remote (US)
Job Type
Full-time
Posted
October 6, 2026
Views
3

Job Description

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

** When applying, please upload your curriculum vitae (CV) and unofficial college transcript in PDF format under the "CV/Resume" section of the application.

Education Required:  PhD or MS

General Description/Scope of Responsibilities:

  • This is a one-year fellowship program in Clinical Pharmacology and Pharmacometrics, a discipline that plays a pivotal role in accelerating drug development through model-informed strategies and advanced simulation technologies.
  • Open to pharmaceutical scientists and AI engineers eager to apply advanced analytics to drive innovation in drug development
  • This fellow would conduct work in the field of clinical pharmacology, using various modeling and simulation tools to support drug development, including scientific machine learning pharmacodynamic models and autoencoder generative machine learning model.  This role requires critical thinking and problem-solving in a complex, cutting-edge area of drug development.
  • The fellow will apply AI/Machine Learning or Large Language Model to work with large clinical datasets, and to participate in developing a predictive model.
  • Develop proficiency in the use of software tools for the development of QSP, PBPK, PK/PD models and the R programming language for data management
  • Literature review and data management: Review and capture literature source for used in the modeling.
  • Model development, verification and validation: develop semi-mechanistic models to support drug development; apply AI/large Language Model to support the analysis and reporting in accelerated drug development.
  • Attend Department meetings to gain exposure to drug development process
  • Flexible start date
  • Remote or on-site options available

Supervisory Responsibilities

  • No

Pay Rate: 75K/Year

Global Competencies

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

  • Fosters Teamwork
  • Provides and Solicits Honest and Actionable Feedback
  • Self-Awareness
  • Acts Inclusively
  • Demonstrates Initiative
  • Entrepreneurial Mindset
  • Continuous Learning
  • Embraces Change
  • Results-Oriented
  • Analytical Thinking/Data Analysis
  • Financial Excellence
  • Communicates with Clarity

Salary Range: $ - $ per hourBeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process.  Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

** When applying, please upload your curriculum vitae (CV) and unofficial college transcript in PDF format under the "CV/Resume" section of the application.

Education Required:  PhD or MS

General Description/Scope of Responsibilities:

  • This is a one-year fellowship program in Clinical Pharmacology and Pharmacometrics, a discipline that plays a pivotal role in accelerating drug development through model-informed strategies and advanced simulation technologies.
  • Open to pharmaceutical scientists and AI engineers eager to apply advanced analytics to drive innovation in drug development
  • This fellow would conduct work in the field of clinical pharmacology, using various modeling and simulation tools to support drug development, including scientific machine learning pharmacodynamic models and autoencoder generative machine learning model.  This role requires critical thinking and problem-solving in a complex, cutting-edge area of drug development.
  • The fellow will apply AI/Machine Learning or Large Language Model to work with large clinical datasets, and to participate in developing a predictive model.
  • Develop proficiency in the use of software tools for the development of QSP, PBPK, PK/PD models and the R programming language for data management
  • Literature review and data management: Review and capture literature source for used in the modeling.
  • Model development, verification and validation: develop semi-mechanistic models to support drug development; apply AI/large Language Model to support the analysis and reporting in accelerated drug development.
  • Attend Department meetings to gain exposure to drug development process
  • Flexible start date
  • Remote or on-site options available

Supervisory Responsibilities

  • No

Pay Rate: 75K/Year

Global Competencies

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

  • Fosters Teamwork
  • Provides and Solicits Honest and Actionable Feedback
  • Self-Awareness
  • Acts Inclusively
  • Demonstrates Initiative
  • Entrepreneurial Mindset
  • Continuous Learning
  • Embraces Change
  • Results-Oriented
  • Analytical Thinking/Data Analysis
  • Financial Excellence
  • Communicates with Clarity

Salary Range: $ - $ per hourBeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process.  Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in Remote (US). Beigene offers flexible remote or on-site options for this fellowship.
What are the required qualifications and education level for this role?
Candidates must hold either a PhD or an MS degree. The fellowship is open to pharmaceutical scientists and AI engineers eager to apply advanced analytics to drug development.
What are the key responsibilities of the fellow?
Responsibilities include using modeling, simulation, and AI/ML or Large Language Models on clinical datasets. You will develop semi-mechanistic models (QSP, PBPK, PK/PD), use R programming for data management, conduct literature reviews, and attend department meetings.
What is the salary for this fellowship?
The pay rate for this fellowship is $75,000 per year.
What benefits and compensation perks are offered?
Beigene offers a comprehensive benefits package including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness. Employees are also eligible for discretionary equity awards and can participate in the Employee Stock Purchase Plan and annual bonus plan.
What is the application process and what documents do I need to submit?
When applying, you must upload your curriculum vitae (CV) and an unofficial college transcript in PDF format under the "CV/Resume" section of the application.
Will I have any supervisory responsibilities in this role?
No, this position does not have any supervisory responsibilities.

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Job Information

Source: manual
AI Relevance: 88/100 (Highly relevant)
Remote Type: remote
Allowed Locations: Worldwide
Skills & Tags:
beigene machine learning clinical
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