2027 Future Talent Program - Translational Genome Analytics - Co-op
Merck · Boston, MA, US
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About the Role
The Future Talent Program within the Research & Development Division Data, AI & Genome Sciences (DAGS) Department is offering two computational co-op positions for a six-month term. These roles provide hands-on experience applying computational methods to drug-discovery questions, skill development, and evaluation of longer-term fit.
Responsibilities
- Analyze and integrate large transcriptomic datasets to understand tumor biology and support target and biomarker discovery.
- Analyze bulk and single-cell RNA-seq data, including quality control, cell-type annotation, and characterization of tumor and tumor-microenvironment cell states.
- Relate molecular profiles to drug and therapy response using large-scale screening and sequencing datasets.
- Characterize the transcriptional response to therapeutic perturbation to inform mechanism of action.
- Build clear, reproducible analyses and visualizations to communicate findings.
- Apply computational methods to immune-profiling datasets to understand disease biology and immune response.
- Analyze immune-focused sequencing data to characterize immune cell states and their changes.
- Analyze, implement, and visualize methods for studying interactions among disease-relevant biological networks.
- Mine internal and external molecular databases to support therapeutic discovery, disease stratification, and biomarker identification.
Requirements
- Currently enrolled in at least a Bachelor's degree program in biological sciences, computational biology, bioinformatics, or a related quantitative field.
- Available to work full-time for six months.
Skills
- Bioinformatics
- Biological Network Analysis
- Biomarker Identification
- Cellular Immunology
- Clinical Research
- Computational Biology
- Computer Programming
- Database Management
- Data Science
- Data Security
- High Performance Computing (HPC)
- Immune Response
- Immunology
- Immunotherapy
- Mechanism of Action
- Molecular Biology
- Oncology
- Project Management
- Python (Programming Language)
- RNA-Seq
- Single-Cell Genomics
- Software Proficiency
- Transcriptomics
- Tumor Microenvironment
- R programming
- Python programming
- Analyzing bulk or single-cell sequencing datasets
- Standard statistical and visualization methods
- Working with large datasets
- Cloud or high-performance computing environments
Location
- Cambridge MA
- Boston MA
- South San Francisco CA
- Remote
Work Type
- Full-time
- Hybrid
- Intern/Co-op (Fixed Term)
Experience Level
- Student
Education Level
- Bachelor's degree program
- Graduate programs (MS or PhD)
Salary/Compensations
- $39,908 - $111,111
About the Company
- Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA