2027 Future Talent Program - Translational Medicine - Intern at MSD | CA, US | Rezi

2027 Future Talent Program - Translational Medicine - Intern at MSD

2027 Future Talent Program - Translational Medicine - Intern

MSD · CA, US

2 weeks ago

2027 Future Talent Program - Translational Medicine - Intern

MSD · CA, US

15 days ago
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About the Role

This 12-week internship in the Research and Development Division offers graduate students expertise in bioinformatics, genomics, and computational biology the chance to analyze and interpret genomic and pharmacogenomic datasets, supporting precision medicine and translational research initiatives.

Responsibilities

  • Analyze and interpret genomic and pharmacogenomic datasets using bioinformatics and computational approaches.
  • Evaluate data generated from multiple genomic technologies, including array-based, short-read, and long-read sequencing platforms.
  • Develop and apply analytical workflows to support genomic characterization and translational research objectives.
  • Collaborate with scientists across disciplines to generate biological insights and support precision medicine initiatives.
  • Communicate results through scientific presentations, reports, and reproducible documentation.

Requirements

  • Currently pursuing a Master's or PhD in Bioinformatics, Computational Biology, Human Genetics, Genomics, Pharmacogenomics, Biostatistics, Computer Science, or a related scientific discipline.
  • Experience analyzing genomic or next-generation sequencing (NGS) data, including familiarity with common bioinformatics file formats (e.g., FASTQ, BAM/CRAM, VCF, FASTA).
  • Experience in Python, R, and/or other scientific programming languages, with experience working in Linux/Unix environments.
  • Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively in a multidisciplinary research environment.
  • Must be enrolled in an academic program and returning to continue studies following completion of the internship.

Skills

  • Bioinformatics
  • Genomics
  • Computational Biology
  • Python
  • R
  • Linux/Unix environments
  • Pharmacogenomics concepts
  • Genomic data analysis
  • High-performance computing
  • Cloud computing environments
  • Long-read sequencing technologies
  • Haplotype analysis
  • Structural variant detection
  • Copy number analysis

Location

  • US and Puerto Rico Residents Only

Work Type

  • Intern/Co-op (Fixed Term)
  • No relocation
  • No Travel Required
  • 1st - Day shift

Experience Level

  • Graduate student

Education Level

  • Master's or PhD

Salary/Compensations

  • $39,108 through $111,111

About the Company

  • The Clinical Pharmacogenetics group provides scientific leadership in the application of human genetics and pharmacogenomics across the drug development continuum.
  • We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds.
  • The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment.
  • 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.
  • For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights
  • EEOC GINA Supplement
  • Learn more about your rights, including under California, Colorado and other US State Acts
  • 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