2025 Oncology Bioinformatics Intern

Posted on Oct 2, 2024 by AbbVie
South San Francisco, CA
Graduates & Trainees
Immediate Start
Annual Salary
Part-Time - Internship
Job Description

Genomic Research Center - Oncology Bioinformatics Internship Overview

Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns.

This internship opportunity is the result of a collaborative effort between the Computational Oncology, Precision Medicine, and Oncology Discovery Research groups at AbbVie's Genomics Research Center (GRC). The GRC is widely recognized as a center of excellence in various fields, including bioinformatics, functional genomics, human genetics, pharmacogenomics, and the study of multiple population cohorts, with a database containing over 1 million genomes. The GRC's work extends beyond research and development, encompassing areas such as process sciences and corporate strategy. It plays a vital role in our pursuit of world-class genetics and genomics research by focusing on identifying the most suitable targets and enhancing our understanding of not only human disease biology but also the behavior and response of our drugs in clinical trials.

The intern in this role will be responsible for conducting a meta-analysis of pre-clinical datasets to investigate the synergistic effects of antibody drug conjugates (ADCs) in combination with immunotherapeutics. The objective of this analysis is to uncover the potential of combining ADCs with immuno-oncology (IO) targets to maximize their synergistic effects in solid tumors. We are seeking a candidate who will primarily focus on analyzing pre-clinical data (both in vitro and in vivo) to gain a deeper understanding of the mechanism of action (MoA) of the combination therapies. The goal is to facilitate the application of these therapies in clinical settings. Additionally, the intern's project will involve the identification of relevant gene signatures, biomarkers, and molecular subtypes that can assist in stratifying patients for future clinical trials. To ensure the reliability and validity of these findings, the intern will also cross-validate the results using real-world data (RWD) obtained through AbbVie's collaborative efforts. This project will expand our knowledge of innovative therapies and how to make them accessible to more patients eagerly anticipating the next breakthrough in cancer treatment. 

This internship will be based in South San Francisco, CA.

Key responsibilities include:

Consolidate the pre-clinical and real-world data (RWD) sets to create population cohorts for subsequent analyses.

Conduct bulk and single cell RNA-seq analysis to discover new targets and biological pathways.

Validate the identified hypotheses by cross-validating them in larger RWD cohorts and conducting a thorough literature review.

Effectively communicate and present research progress to diverse working groups. 

Reference: 203066645

https://jobs.careeraddict.com/post/95711655

2025 Oncology Bioinformatics Intern

Posted on Oct 2, 2024 by AbbVie

South San Francisco, CA
Graduates & Trainees
Immediate Start
Annual Salary
Part-Time - Internship
Job Description

Genomic Research Center - Oncology Bioinformatics Internship Overview

Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns.

This internship opportunity is the result of a collaborative effort between the Computational Oncology, Precision Medicine, and Oncology Discovery Research groups at AbbVie's Genomics Research Center (GRC). The GRC is widely recognized as a center of excellence in various fields, including bioinformatics, functional genomics, human genetics, pharmacogenomics, and the study of multiple population cohorts, with a database containing over 1 million genomes. The GRC's work extends beyond research and development, encompassing areas such as process sciences and corporate strategy. It plays a vital role in our pursuit of world-class genetics and genomics research by focusing on identifying the most suitable targets and enhancing our understanding of not only human disease biology but also the behavior and response of our drugs in clinical trials.

The intern in this role will be responsible for conducting a meta-analysis of pre-clinical datasets to investigate the synergistic effects of antibody drug conjugates (ADCs) in combination with immunotherapeutics. The objective of this analysis is to uncover the potential of combining ADCs with immuno-oncology (IO) targets to maximize their synergistic effects in solid tumors. We are seeking a candidate who will primarily focus on analyzing pre-clinical data (both in vitro and in vivo) to gain a deeper understanding of the mechanism of action (MoA) of the combination therapies. The goal is to facilitate the application of these therapies in clinical settings. Additionally, the intern's project will involve the identification of relevant gene signatures, biomarkers, and molecular subtypes that can assist in stratifying patients for future clinical trials. To ensure the reliability and validity of these findings, the intern will also cross-validate the results using real-world data (RWD) obtained through AbbVie's collaborative efforts. This project will expand our knowledge of innovative therapies and how to make them accessible to more patients eagerly anticipating the next breakthrough in cancer treatment. 

This internship will be based in South San Francisco, CA.

Key responsibilities include:

Consolidate the pre-clinical and real-world data (RWD) sets to create population cohorts for subsequent analyses.

Conduct bulk and single cell RNA-seq analysis to discover new targets and biological pathways.

Validate the identified hypotheses by cross-validating them in larger RWD cohorts and conducting a thorough literature review.

Effectively communicate and present research progress to diverse working groups. 

Reference: 203066645

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