Biometrics Summer Intern, PhD and Masters Students

AstraZenecaGaithersburg, MD
8d$42 - $48Onsite

About The Position

We are seeking Master's and PhD students majoring in Statistics, Biostatistics, Bioinformatics, Biomedical Sciences, Data Science or a related field for 12 Week Student Intern roles in Gaithersburg, MD for a May 18th - August 7th contract period. Position Duties: This role has 5 separate headcount for the descriptions listed below. Bioinformatics Summer Intern: Oncology Data Science and Artificial Intelligence Organoid characterization and clinical relevance assessment. Predictive biomarker discovery and patient selection strategy. Mechanism of action and resistance pathway analysis. Biostatistics Summer Intern: Oncology Data Science and Artificial Intelligence Establish optimal ctDNA molecular response cutoffs for ADC therapy. Assess methodologies for ctDNA molecular response analysis. Enable standardization of ctDNA-RECIST composite endpoints (stretch objective). Bioinformatics Summer Intern: Early Vaccines and Immune Therapies Apply cutting-edge bioinformatics techniques to analyze large datasets from human pathogens which will be used to support viral and bacterial programs. Develop bioinformatics skills and gain experience working in a cross-functional team. Statistics Summer Intern: Respiratory & Immunology Biometrics (2) Work closely with an experienced statistician on one statistical topic from clinical trials, such as Bayesian hierarchical models, estimands, and R programming. Reference literature and regulatory precedent to develop a solution that is practical and valuable. Present the outcomes of the project to a broad audience of Biometrics teams.

Requirements

  • Master's and PhD students majoring in Statistics, Biostatistics, Bioinformatics, Biomedical Sciences, Data Science or a related field.
  • Candidates must have an expected graduation date after August 2026.
  • Coding skills in R/RStan or SAS and data simulation experience is required.
  • Experience with omics data analysis (RNA-seq, WES, or similar high-throughput datasets) required for bioinformatics role.
  • Proficiency in Python required for biostatistics role.
  • Time and self-management skills are required.
  • Microsoft Office experience such as Excel, Word, PowerPoint, and Outlook required.
  • Enthusiasm for collaboration, cross-functional projects, public speaking, and presentation design.
  • US Work Authorization is required at time of application.
  • Ability to report onsite for 3-5 days a week.

Responsibilities

  • Organoid characterization and clinical relevance assessment.
  • Predictive biomarker discovery and patient selection strategy.
  • Mechanism of action and resistance pathway analysis.
  • Establish optimal ctDNA molecular response cutoffs for ADC therapy.
  • Assess methodologies for ctDNA molecular response analysis.
  • Enable standardization of ctDNA-RECIST composite endpoints (stretch objective).
  • Apply cutting-edge bioinformatics techniques to analyze large datasets from human pathogens which will be used to support viral and bacterial programs.
  • Work closely with an experienced statistician on one statistical topic from clinical trials, such as Bayesian hierarchical models, estimands, and R programming.
  • Reference literature and regulatory precedent to develop a solution that is practical and valuable.
  • Present the outcomes of the project to a broad audience of Biometrics teams.

Benefits

  • This role may provide relocation assistance to non-local candidates.
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