Bioinformatics Analyst II
1 year
Cambridge, MA (Hybrid)
Summary
- Immunology team is expanding its early discovery team, focusing on identifying new targets for autoimmune and chronic inflammatory diseases. We are looking for a motivated and talented individual to join us as a Computational Scientist. In this role, you will contribute to computational analyses that predict drug responses using high-throughput molecular profiling data and support the discovery of new therapeutic targets using high-throughput molecular profiling data.
Key Responsibilities:
- Build a Single-Cell Atlas: Utilize publicly available single-cell datasets to build comprehensive single-cell atlases, enhancing our understanding of cellular heterogeneity in immune system and disease contexts.
- Analyze Single-Cell Data: Assist in the analysis of single-cell RNA-seq, TCR-seq, and BCR-seq data to identify disease-associated regulatory networks and biomarkers.
- Support Multi-Omics Integration: Help integrate various omics data (e.g., gene expression, proteomics) to gain insights into disease mechanisms and identify potential drug targets.
- Develop Machine Learning Models: Contribute to the development and implementation of machine learning models for data analysis and target identification.
- Communicate Findings: Support the team in interpreting results and presenting scientific data to both internal and external stakeholders.
- Collaborate with Teams: Work with cross-functional teams to leverage computational methods in therapeutic development.
Basic Qualifications:
- Bachelors or Masters degree in bioinformatics, computer science, computational biology, or a related field.
- Some experience in a relevant academic or industry setting is preferred.
- Proficiency in programming languages, particularly Python, with a solid understanding of data analysis and visualization techniques.
- Familiarity with omics data types (e.g., RNA-seq) and basic machine learning concepts.
- Strong problem-solving skills and a desire to learn.
Preferred Qualifications:
- Exposure to immunology or experience with biological data analysis.
- Familiarity with cloud computing and data management environments.
- Collaborative work style and effective communication skills.