Immunology Bioinformatics Internship Opportunity
4 days ago
At BioSpace, Inc., we are seeking a highly motivated intern to join our Immunology Bioinformatics Team at Genomics Research Center. As a member of our team, you will have the opportunity to work with energetic colleagues and inspirational leaders, gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry.
The Immunology Bioinformatics Team is responsible for providing computational solutions and conducting computational research for immunology discovery and translational programs. We partner with discovery and clinical scientists to identify genes and pathways operant in human diseases through the interrogation of complex multi-omics data sets generated from clinical samples.
As a bioinformatics intern, you will develop a large language model (LLM)-based tool for cell type annotation in single-cell analysis. This tool will generate cell-type annotations that are comparable to those made by human experts, as indicated in recent studies. It will utilize our in-house LLM models and leverage previous expertise in cell-type annotation within immunology.
Key responsibilities include:
- Develop an internal LLM-based tool with necessary prompt engineering for cell-type annotation
- Evaluate the performance by comparing it to traditional marker-based methods (e.g., SingleR) using public gastrointestinal single-cell RNA-seq data
Qualifications
We are looking for a highly motivated and enthusiastic individual with a strong interest in and the essential skills for developing a computational tool for single-cell RNA sequencing. The ideal candidate will have:
- Currently enrolled in university, pursuing a Master's or PhD in Mathematics, Statistics, Computer Science, Bioinformatics, or other related field
- Must be enrolled in university for at least one semester following the internship
- Required skills and knowledge include:
- Proficiency in a programming language, e.g., R or Python
- Experience with software development in Linux environment
- Proven experience with single-cell RNA Seq data analysis
- Hands-on experience of developing machine learning/deep learning algorithms
- Excellent written and verbal communication skills
- Highly motivated and enthusiastic with the ability to work independently with minimal supervision
- Energetic and eager to tackle new projects and generate new ideas
- Willing to be on-site in Cambridge, MA for at least three days a week
Benefits and Amenities
We offer a competitive pay, relocation support for eligible students, select wellness benefits, and paid holiday/sick time. As an equal opportunity employer, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. We do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.
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