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2022 Single Cell Sequencing/Spatial Transcriptomics Computational Biologist Co-op

The Future Talent Program features co-ops for 6 months and will include one or more projects. These opportunities in our Research Division can provide you with great development and a chance to see if we are the right company for your long-term goals.

We are seeking a 6-month co-op in bioinformatics/computational biology, with passion and interest in single-cell sequencing and spatial transcriptomics platforms, to join the Genome Sciences team within the Department of Genome and Biomarker Sciences (GBx) at our Research & Development Division at Cambridge. Our mission is to develop high-throughput cutting-edge technologies to better understand disease mechanisms and to identify and validate new targets and biomarkers. Our group utilizes innovative genetic screening (i.e., CRISPR) and multi-omics single-cell approaches such as simultaneous RNA and protein profiling (i.e., REAP-seq), immune repertoire profiling, CROP-seq/Perturb-Seq, and Spatial Transcriptomics to impact all stages of the drug development pipeline from pre-clinical to clinical development. Genome Sciences collaborates closely with the discovery therapeutic areas (i.e., oncology, immunology, neuroscience, and cardiometabolic disease), pharmacology, and ChemBio groups within the Discovery, Preclinical, and Early Development (DPED) organization to utilize these technologies to pursue key biological questions.

The responsibilities of the candidate include but are not limited to:

  • Participate in the design of experiments utilizing multi-omics single-cell sequencing and/or spatial transcriptomics technologies to discover novel mechanisms of action for our compounds.
  • Perform hands-on data analysis of single-cell sequencing and/or spatial transcriptomics projects.
  • Implement new computational methods and pipelines if needed.

Required Education and Skills:

  • Candidates must be currently enrolled in a minimum of a master's degree program in a relevant field of study.
  • Candidates must be available to work full-time for 6 months beginning in spring/summer/fall of 2022.
  • Candidates must have experience with the analysis of NGS data, especially RNA-seq.
  • Candidates must have proficiency with R or Python and Bash shell scripts.
  • Candidates must have strong communication and collaboration, including an ability to effectively communicate experimental design, results, and conclusions

Preferred Experience and Skills:

  • Candidates should have experience of analyzing single-cell sequencing or spatial transcriptomic data sets.
  • Candidates should have experience with image analysis.

We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” that great medicines can make a significant impact to our world. We believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe. 

Who we are …
We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for …
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.