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Clinical Pharmacology and AI/ML Fellow

Role overview

Qualifications

  • PhD or MS
  • Strong background in Clinical Pharmacology and Pharmacometrics
  • Experience in AI/Machine Learning or advanced analytics
  • Proficiency in R programming and software tools for QSP, PBPK, PK/PD models

Responsibilities

  • Conduct modeling and simulation in clinical pharmacology to support drug development
  • Develop and validate semi-mechanistic models and predictive models using AI/ML
  • Review literature and manage data for modeling purposes
  • Participate in department meetings to understand the drug development process

Key facts

Hard skills

Other skills

  • Critical Thinking
  • Problem Solving
  • Teamwork
  • Analytical Thinking
  • Communication

About the company

BeiGene logo

BeiGene

Biotechnology

BeiGene is a global oncology company that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a broad portfolio, we are expediting development of our diverse pipeline of novel therapeutics through our internal capabilities and collaborations. We are committed to radically improving access to medicines for far more patients who need them. Our growing global team of more than 10,000 colleagues spans five continents. To learn more about BeiGene, please visit www.beigene.com and follow us on LinkedIn, X (formerly known as Twitter) and Facebook.

Company details

Company typeXLarge
IndustryBiotechnology
Company size10001

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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.

Education Required:  PhD or MS    

**When applying, please upload curriculum vitae (CV) and your unofficial college transcript** 

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 hour

BeOne 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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