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Clinical Pharmacology Fellow

Beam Therapeutics

Beam Therapeutics

Cambridge, MA, USA
Posted on Wednesday, November 2, 2022

The Clinical Pharmacology fellowship program focuses on developing skills of a modern clinical pharmacology scientist. The fellow will gain expertise in nonclinical and clinical development through honing skills in areas such as nonclinical pharmacokinetics, clinical pharmacology, translational strategies, modeling and simulation/pharmacometrics. As part of the training, the fellow will engage in the design nonclinical and clinical pharmacology studies, biomarker identification, dose selection, preparation of regulatory documents, extensive data analysis and visualization, and population PK and PK/PD modeling. The candidate will also participate in cross-functional team interactions across Beam’s therapeutic areas. This training involves hands on work in data analysis, modeling, and written and oral communication. Training could be tailored towards the candidate’s background and career choices.


The successful candidate is expected to:

  • Engage in extensive data analysis, visualization, and presentation of data derived from nonclinical and clinical studies or literature
  • Collaboratively design nonclinical pharmacokinetic and clinical studies
  • Serve (with a senior mentor) as a representative on nonclinical and clinical project teams to guide clinical pharmacology and translational efforts
  • Contribute towards drafting of regulatory documents
  • Contribute towards writing of clinical study protocols and reports
  • Execute, interpret, and present results from PK/PD and/or pop-PK analyses at internal meetings
  • Present work at professional meetings and/or author a scientific publication


  • Pharm.D., MD, or Ph.D. from an accredited university or equivalent
  • Experience and coursework in pharmacology, pharmacokinetics, statistics, and data analytics
  • Excellent oral and written communication skills, ethics, professionalism, leadership
  • Research experience
  • Skills in using data analysis software packages