Logo of Huzzle

Home

Matches

Explore

Manage

Summer 2025 Oncology - Deep Learning Internship

image

Bristol Myers Squibb

Oct 6, 2024

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

AI generated summary

  • You should be a graduate student in a relevant field, have basic cancer pathology knowledge, proficiency in Python, familiarity with deep learning frameworks, and strong problem-solving skills.
  • You will curate H&E images, collaborate on machine learning pipelines, apply published models, evaluate results, and document processes for final reporting and presentation.

Requirements

  • Graduate student (Ph.D., M.S.) in a relevant field such as Bioinformatics, Biomedical Engineering, Data Science, or similar.
  • Basic understanding of cancer pathology and tissue structure to effectively interpret results and annotations.
  • Strong desire to learn basic image processing techniques for H&E images, such as stain normalization.
  • Proficiency in Python, especially for working with image data and developing simple models.
  • Basic understanding of deep learning frameworks like PyTorch or TensorFlow, particularly for image analysis tasks, with a willingness to further develop these skills.
  • Previous experience with digital pathology platforms such as QuPath, Halo, and Visiopharm would be beneficial, though not required.
  • Experience or willingness to learn how to quantitatively evaluate models using performance metrics like accuracy, precision, and F1-scores.
  • Strong problem-solving skills and the ability to work in a collaborative environment.

Responsibilities

  • Curate and prepare a cohort of H&E images from BMS's image management system for analysis.
  • Collaborate with the Imaging AI team to refine and utilize existing machine learning pipelines for histopathological image analysis.
  • Internalize published models (i.e., CellViT, PatchSorter, PanNuke, etc.) to work on BMS IPS computing infrastructure.
  • Deploy models on BMS images, evaluate and benchmark resulting cell detection and classification results (accuracy, precision, recall, F1-scores, etc.).
  • Document all processes and present results in a comprehensive final report and presentation.

FAQs

What is the focus of the Summer 2025 Oncology - Deep Learning Internship?

The internship focuses on deep learning enabled methods for cell detection and classification in digitized histology slides of human cancer samples, contributing to advancements in precision medicine and understanding the tumor microenvironment in oncology.

What skills are required for this internship?

Candidates should have proficiency in Python, basic understanding of deep learning frameworks like PyTorch or TensorFlow, and a basic understanding of cancer pathology. A desire to learn image processing techniques and quantitative evaluation of models is also important.

Are there any specific tools or platforms experience considered beneficial for this internship?

Yes, previous experience with digital pathology platforms such as QuPath, Halo, and Visiopharm would be beneficial, though it is not required.

What level of education is required to apply for this internship?

Applicants should be graduate students (Ph.D. or M.S.) in a relevant field such as Bioinformatics, Biomedical Engineering, or Data Science.

What type of collaboration can interns expect during the internship?

Interns will collaborate with the Imaging AI team and other BMS colleagues, gaining hands-on experience and insights into deep learning and digital pathology.

Will interns have any access to company infrastructure?

Yes, interns will have access to Bristol Myers Squibb's computing infrastructure to work on their projects.

What kinds of projects will interns work on?

Interns will work on curating H&E images, refining and utilizing machine learning pipelines, deploying models for cell detection, and evaluating performance metrics.

Is there an opportunity for documentation and presentation of results during the internship?

Yes, interns are expected to document all processes and present their results in a comprehensive final report and presentation.

What aspects of workplace culture does Bristol Myers Squibb emphasize?

BMS emphasizes an inclusive culture, promoting diversity, collaboration, accountability, and a shared commitment to transforming patients' lives through science.

What is the vaccination policy at Bristol Myers Squibb?

BMS strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

image

Bristol Myers Squibb

Manufacturing & Electronics
Industry
10,001+
Employees

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.