Sr. Computational Biologist I

Job DescriptionJob DescriptionJob Details

Sr. Computational Biologist

Join 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 Responsibilities

• Software 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 Qualifications

• Education: 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 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 Skills

• Motivation: 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.