Oncology Research In Vivo Discovery - Co-Op
Compensation Data
This position offers an hourly rate of $20.00 - $33.00 USD / hour commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here.
Description
The Oncology Research department at Boehringer Ingelheim is seeking a talented Co-Op candidate to join the In Vivo Discovery Pharmacology team at our Ridgefield, CT location. As part of this dynamic team, Co-Op employees will work closely with scientists in the Tumor Immunology Pharmacology team to leverage cutting-edge high-plex spatial proteomic technologies to decode the immune architecture within tumors. This work aims to illuminate how immune cells interact within the tumor microenvironment, uncovering spatial patterns that drive therapeutic response and resistance. By integrating spatial imaging with multi-omics data, including transcriptomics, proteomics, and flow cytometry—students will help build a histology-driven framework that aligns preclinical models with patient-specific populations.
At Boehringer Ingelheim our goal is to serve people through research into diseases with unmet needs and to make transformative therapies for life-enhancing healthcare improvements. As part of the Oncology Research team, Co-Op employees will have an opportunity to learn, grow, collaborate, innovate and improve the lives of patients while working with integrity and passion in a global, diverse and open environment. Candidates with an interest in drug discovery, cancer immunology, imaging, and machine learning, apply today!
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 ouremployees.
Duties & Responsibilities
• Design and optimize multiplexed protein panels for histological analysis of tumor samples.
• Perform high dimensional imaging of tumor tissues and conduct preliminary image analysis for quality control and preprocessing.
• Develop automated image analysis workflows for single-cell phenotyping and spatial statistics.
• Integrate spatial profiles with RNAseq, proteomics, flow cytometry, and spatial transcriptomics data sets.
• Compile results, analyze, visualize data, and present findings.
• Comply with applicable regulations; maintain proper records in accordance with SOPs and policies.
Requirements
- Must be a current graduate or advanced degree student in good academic standing.
- Student must be enrolled at an accredited college or university for the duration of the 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 co-op.
- Graduate and advanced degree students must have completed at least 9 credit hours at current college or university (i.e., biology, molecular biology, cellular biology, chemistry, genetics, immunology, oncology, systems biology).
- Must have previous experience working in a research or clinical lab setting and/or a major related to the field of Co-Op focus: immunology, oncology, cell biology, and/or bioinformatics
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.
Desired Skills, Experience and Abilities
• Previous experience with histology and multiplex immunofluorescence assay development
• Computational experience coding in R, python, and/or coding for data mining of databases (i.e., sequencing analysis).
• Previous experience working with spatial transcriptomic platforms (10X Visium/HD, 10X Xenium, CosMX, GeoMX) and/or multiplex imaging platforms (Phenocycler fusion, COMET).