Data Pipelining & Engineering Co-Op
Description
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Department Name department located at our insert your location facility. As an Intern, you will a few sentences describing the basic purpose of the internship.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Duties & Responsibilities
• Run and monitor established pipelines for processing spatial and single cell transcriptomics datasets.
• Perform quality control, normalization, and visualization of spatial and single-cell omics data.
• Align histology images with spatial transcriptomics data using image registration tools.
• Conduct basic image analysis tasks such as tissue segmentation and region-of-interest annotation.
• Integrate molecular data with histological features to support biological interpretation.
• Document workflows and results in a reproducible and collaborative environment (e.g., Git, Jupyter).
• Communicate findings through presentations and contribute to internal knowledge sharing.
Requirements
• Must be a current undergraduate, graduate or advanced degree student in good academic standing.
• Student must be enrolled at an accredited college or university for the duration of the internship/co-op.
• Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred.
• Major or minor in related field of internship/co-op.
• Undergraduate students must have completed at least 12 credit hours at current college or university.
• Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.
Desired Skills, Experience and Abilities
• Experience using Python or R for data analysis, especially with libraries such as Scanpy, Seurat, Squidpy, or Bioconductor packages.
• Familiarity with spatial transcriptomics platforms (e.g., 10x Genomics Visium), single-cell multi-modal technologies (e.g., CITE-seq, CROP-seq), and associated data formats.
• Exposure to histology image analysis, including basic segmentation and visualization techniques.
• Understanding of molecular biology, tissue architecture, or pathology is a plus.
• Ability to work with large datasets and perform data wrangling and visualization.
• Strong attention to detail, documentation, and reproducibility.
• Excellent communication and collaboration skills in an interdisciplinary environment.
Eligibility Requirements
• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical (if required).
• Must be 18 years of age or older.
Compensation Data
This position offers an hourly rate of $20 to $33 commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here