Our client is a biotechnology company that uses cutting-edge science to develop innovative medicines for challenging health conditions worldwide.
Position Overview
We are seeking a highly motivated Computational Scientist to join our Computational Oncology team. This is a full-time contract position through the end of 2025, remote in Pacific Standard time.
Assignment Duration- through the end of 2025
Location- Remote, must work in PST House
Pay- $45-$55/hour
Key Responsibilities
Collaborate with Computational Oncology scientists to analyze large-scale bulk RNA and WES clinical datasets, addressing key scientific hypotheses and generating novel insights.
Develop and apply advanced analytical approaches to integrate and interpret multi-omic data, uncovering insights into disease biology and mechanisms of action to advance our pipeline and clinical research goals.
Document code, analytical processes, and findings, ensuring the standardization of workflows and reproducibility of results.
Qualifications & Requirements
6+ years of experience in large-scale bulk data analysis (RNA, WES), utilizing both gold-standard methods and advanced analytical techniques, such as:
Multivariate statistical analyses
Multimodal data integration
Predictive and prognostic modeling
Expertise in oncology-related areas, including cancer biology, clinical omics, real-world data, or breast cancer research.
PhD in Computational Biology, Bioinformatics, or a related field.
Strong programming skills in R, Python, and shell scripting.
Experience with Git and high-performance computing (HPC) environments.
Self-motivated with a commitment to delivering high-quality, reproducible results and the ability to work independently to meet critical deadlines.
Excellent communication skills and a track record of working effectively within cross-functional teams.
Passion for computational biology and a strong interest in breast cancer research.
This job description is a complete list of all desired skills, but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you!