Boehringer Ingelheim
Oncology Research In Vivo Discovery - Co-Op
Boehringer Ingelheim, Ridgefield, Connecticut, us, 06877
Oncology Research In Vivo Discovery - Co-Op
2 days ago Be among the first 25 applicants
Compensation: hourly rate $20.00 - $33.00 USD / hour commensurate with level of degree program. Overview of benefits available.
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. 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. Candidates with an interest in drug discovery, cancer immunology, imaging, and machine learning are encouraged to apply.
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
Current graduate or advanced degree student in good academic standing.
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 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).
Previous experience working in a research or clinical lab setting and/or major related to the field of Co-Op focus: immunology, oncology, cell biology, and/or bioinformatics.
Eligibility Requirements
Legally authorized to work in the United States without restriction.
Willing to take a drug test and post-offer physical (if required).
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 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).
Want to learn more? Visit https://www.boehringer-ingelheim.com
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Compensation: hourly rate $20.00 - $33.00 USD / hour commensurate with level of degree program. Overview of benefits available.
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. 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. Candidates with an interest in drug discovery, cancer immunology, imaging, and machine learning are encouraged to apply.
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
Current graduate or advanced degree student in good academic standing.
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 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).
Previous experience working in a research or clinical lab setting and/or major related to the field of Co-Op focus: immunology, oncology, cell biology, and/or bioinformatics.
Eligibility Requirements
Legally authorized to work in the United States without restriction.
Willing to take a drug test and post-offer physical (if required).
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 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).
Want to learn more? Visit https://www.boehringer-ingelheim.com
#J-18808-Ljbffr