We are seeking an experienced Computational Scientist to support cutting-edge research in our clients Immuno-Oncology department. This role focuses on the analysis of complex, large-scale datasets related to RNA, TCR, ADT, and ATAC-seq technologies.
Pay Rate: $50-$62/hr, depending on experience
Duration: 1-year contract with potential extension
Responsibilities:
- Partner with oncology researchers to provide data-driven insights from high-dimensional single-cell and bulk sequencing datasets.
- Design and implement robust analytical methodologies to explore disease biology, driving innovation and supporting clinical research objectives.
- Manage and prepare raw datasets, ensuring they are streamlined for analysis.
- Maintain clear documentation of analysis processes and workflow, while communicating findings effectively to collaborators and stakeholders.
Requirements:
- PhD or Master's degree (with significant industry experience) in Computational Biology, Bioinformatics, or a closely related discipline.
- Strong programming skills in R, Python, and shell scripting.
- Proficient in version control systems (e.g., Git) and high-performance computing environments.
- In-depth experience with single-cell sequencing data analysis (RNA, TCR, ADT, ATAC), including advanced methods like: Multimodal data integration, Advanced cell typing approaches, Clonotype and TCR-sequence analysis.
- Solid understanding of immuno-oncology, innate immune responses, and T cell biology.
This is an exciting opportunity to be at the forefront of computational biology research in immuno-oncology, driving impactful discoveries in cancer research.
