Job Summary
The role of Senior Computational Biologist focuses on leveraging Perturb-seq and single-cell RNA sequencing (scRNA-seq) techniques to gain insights into biological systems. This position requires expertise in computational methodologies to analyze complex datasets, aiming to enhance our understanding of cellular responses and variations at the single-cell level.
Responsibilities
- Utilize advanced computational tools to analyze Perturb-seq and scRNA-seq data.
- Develop algorithms and pipelines for processing and interpreting single-cell datasets.
- Collaborate with experimental teams to integrate computational findings with biological experiments.
- Contribute to research publications by interpreting data and providing biological insights.
- Stay updated with current trends and advancements in computational biology to apply best practices in analysis.
Qualifications
- Ph.D. in Computational Biology, Bioinformatics, or a related field.
- Proficient in programming languages such as Python or R for data analysis.
- Extensive experience with single-cell sequencing data analysis.
- Strong understanding of statistical methods and machine learning as applied to biological data.
- Excellent communication skills for effective collaboration in interdisciplinary teams.
