Sr. Computational Biologist I

About the job Sr. Computational Biologist I Job DetailsSr. Computational BiologistJoin a dynamic interdisciplinary team of bioinformatic scientists, molecular biologists, and software engineers passionate about advancing cancer research and computational biology. This role focuses on developing and applying analytical methods for cutting-edge genomic research to improve patient outcomes.Key ResponsibilitiesSoftware Development: Create software to advance single-cell genomics research.Data Analysis: Analyze sequencing datasets to address innovative and clinically relevant research questions.Troubleshooting: Evaluate results and resolve issues with new analytical methods.Research and Application: Explore new developments in computational biology and apply them to large-scale datasets.Collaboration: Partner with researchers to address questions in cancer genomics and interpret results.Training: Mentor junior analysts in running pipelines, performing quality control, and routine analyses.Key QualificationsEducation: PhD in Bioinformatics, Computational Biology, or Computer Science with a focus on molecular biology, or equivalent practical experience.Technical Skills:Proficiency in Linux and programming languages like Python or R.Familiarity with high-throughput sequence data is advantageous.Experience with version control systems such as Git.Portfolio: Demonstrate coding skills through a code sample or portfolio.Core SkillsMotivation: Driven to develop impactful software for advancing scientific discovery.Biological Expertise: Strong interest in molecular and cell biology.Attention to Detail: Skilled in identifying and addressing data anomalies effectively.Collaboration: Adept at working with multidisciplinary teams to provide research-focused solutions.Decision-Making: Strong ability to make timely and effective decisions.Resilience: Capability to overcome challenges and adapt to new situations.Learning Agility: Quick to apply knowledge from past experiences to new opportunities.

Created: 2025-02-25