2027 Future Talent Program – Drug Metabolism and Pharmacokinetics – Co-op at MSD | CA, US | Rezi

2027 Future Talent Program – Drug Metabolism and Pharmacokinetics – Co-op at MSD

2027 Future Talent Program – Drug Metabolism and Pharmacokinetics – Co-op

MSD · CA, US

2 weeks ago

2027 Future Talent Program – Drug Metabolism and Pharmacokinetics – Co-op

MSD · CA, US

15 days ago
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About the Role

The Future Talent Program offers a 6-month Cooperative (Co-op) education opportunity within the Drug Metabolism and Pharmacokinetics (DMPK) group. This role focuses on supporting the discovery and development of antibody-drug conjugates (ADCs) and peptide-drug conjugates (PDCs) using state-of-the-art LC-HRMS technologies and computational tools to investigate drug conjugate stability, biotransformation, and catabolism.

Responsibilities

  • Perform in vitro assays to investigate ADC and PDC biotransformation and catabolism.
  • Analyze LC-HRMS data to identify and characterize drug conjugate catabolites.
  • Support the development of automated tools for data processing, visualization, and reporting.
  • Prepare technical summaries and presentations of project findings.
  • Present project outcomes at the end-of-summer intern/co-op symposium.

Requirements

  • Currently pursuing a Master's, or Ph.D. degree in Analytical Chemistry, Pharmaceutical Sciences, Chemical Biology, Immunology, Biochemistry, Biotechnology, Biology, Data Science, or a related scientific discipline.
  • Experience with high resolution mass spectrometry and data analysis.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Experience using Microsoft Excel for data analysis and visualization.
  • Effective verbal and written communication skills.
  • Ability to work both independently and collaboratively in a team environment.

Skills

  • Analytical Chemistry
  • Analytical Chemistry
  • Biochemistry
  • Bioconjugation
  • Biology
  • Biopharmaceuticals
  • Biotechnology
  • Biotherapeutics
  • Clinical Research
  • Data Analysis
  • Database Management
  • Data Science
  • Data Security
  • Mass Spectrometry (MS)
  • Mass Spectroscopy (MS)
  • Pharmaceutical Research
  • Project Management
  • Python (Programming Language)
  • Sample Preparations
  • Scientific Analysis
  • Scientific Literacy
  • Scientific Presentations
  • Scientific Research
  • Scientific Writing
  • Software Proficiency
  • Familiarity with mass spectrometry data processing tools.
  • Experience with Python, R, or similar analytical tools is a plus but not required.
  • Familiarity with PK, ADME or drug discovery concepts.
  • Familiarity with cell culture is a plus.

Location

  • Rahway, NJ, USA

Work Type

  • Hybrid
  • Intern/Co-op (Fixed Term)

Experience Level

  • Co-op

Education Level

  • Master's degree
  • Ph.D. degree

Salary/Compensations

  • $39,108 through $111,111

About the Company

  • Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, is committed to inclusion and embraces the value of bringing together talented and committed people with diverse experiences, perspectives, skills and backgrounds. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Equal Opportunity

  • As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.
  • San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
  • Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance