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Summer 2025 Translational Bioinformatics Internship

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Quick Apply

AI generated summary

  • You must be a Master or PhD student in a related field, proficient in R or Python, experienced in omics analysis and Spatial Transcriptomics, with a foundation in biology and oncology.
  • You will analyze spatial transcriptomes, evaluate cell annotation methods, develop workflows, deploy computational techniques, and present findings to inform decision-making.

Requirements

  • Master or PhD student enrolled in computational biology, bioinformatics, statistics, computer science, data science or related fields.
  • Demonstrable hands-on experience in languages like R or Python including extensive experience with specialized packages core in omics analysis such as Seurat, scVI-tools and Scanyp.
  • Demonstrate experience in Spatial Transcriptomic analysis and deep understanding of cutting these cutting-edge technologies.
  • A strong foundation of biology and keen interest in oncology.
  • A foundational understanding on cancer genomics techniques and datasets.
  • Must be able to work full-time for the program duration.
  • Excellent written and verbal communication skills.

Responsibilities

  • Conduct spatial transcriptome analysis using various platforms, such as 10x and Visium.
  • Evaluate Different Cell Annotation and Label Transfer Methods: A key responsibility will be to assess and compare various cell annotation and label transfer techniques, including both single-cell reference-based and reference-free methods. This will involve analyzing the effectiveness and precision of these approaches in different contexts. The intern should have a solid grasp of computational biology and statistical methods to effectively carry out these evaluations.
  • Develop a Systematic Recommendation Workflow for GBM ST analysis: The intern will also be tasked with creating a systematic best practice workflow. This workflow should incorporate the findings from ST analysis and the benchmarking of cell annotation methods, designed to be user-friendly and adaptable for various research needs. Strong skills in data integration and workflow development, as well as clear communication of recommendations, will be essential.
  • Evaluate and deploy cutting edge computational approaches for spatial transcriptome analysis to answer key questions regarding disease biology.
  • Perform analysis and visualizations in a reproducible research framework.
  • Deliver results and present findings for decision making.

FAQs

What is the main focus of the Summer 2025 Translational Bioinformatics Internship?

The main focus is on analyzing spatial transcriptomic data to understand the interplay between Glioblastoma (GBM) molecular subtypes and the tumor microenvironment (TME).

What qualifications are required for this internship?

Candidates should be Master or PhD students enrolled in computational biology, bioinformatics, statistics, computer science, data science, or related fields, with hands-on experience in languages like R or Python and specialized packages for omics analysis.

What kind of experience is preferred for applicants?

Applicants should have demonstrable experience in spatial transcriptomic analysis, a strong foundation in biology, and a keen interest in oncology, as well as foundational understanding of cancer genomics techniques and datasets.

Will the intern work independently or collaboratively?

The intern will work collaboratively within an experienced cross-functional team of clinical, computational, and biology scientists.

Are there specific tools or platforms the intern will use?

Yes, the intern will conduct spatial transcriptome analysis using various platforms, such as 10x and Visium, and will work with specialized packages like Seurat, scVI-tools, and Scanyp.

What are the key responsibilities of the intern?

Key responsibilities include conducting spatial transcriptome analysis, evaluating different cell annotation methods, developing a systematic recommendation workflow for GBM ST analysis, and performing analysis and visualizations in a reproducible research framework.

What type of communication skills are required for this internship?

Excellent written and verbal communication skills are required to effectively present findings and communicate results for decision making.

Is full-time availability required for the internship?

Yes, the intern must be able to work full-time for the program duration.

What are the company's views on diversity and inclusion?

Bristol Myers Squibb promotes an inclusive culture, empowering employees to apply their individual talents and unique perspectives, and values diversity in clinical trials.

Does Bristol Myers Squibb have policies for applicants with disabilities?

Yes, BMS is dedicated to ensuring that individuals with disabilities can excel through a transparent recruitment process and reasonable workplace accommodations.

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Mission & Purpose

At Bristol Myers Squibb, we work every day to transform patients’ lives through science. That work inspires some of the most interesting, meaningful, and life-changing careers you’ll experience. Join us and pursue innovative ideas alongside some of the brightest minds in biopharma, collaborating with a team rich in diversity of experiences, and perspectives. We have built a sustainable pipeline of potential therapies and are leveraging translational medicine and data analytics to understand how we can deliver the right medicine to the right patient, at the right time, to achieve the best outcome. Whether in a scientific, business or supporting function, a career at BMS means you’ll be inspired every day to grow and thrive through opportunities that are uncommon in scale and scope. Here, you’ll be on the cutting edge of powerful innovation in oncology, hematology, immunology, cardiovascular disease, and fibrosis, with colleagues united in the mission to help patients. Through the Bristol Myers Squibb Foundation, we also promote health equity and seek to improve health outcomes of populations disproportionately affected by serious diseases and conditions. Our mission is to give new hope to help patients prevail over serious disease – it drives everything we do.