Job Description

About the job Sr. Computational Biologist I

Job 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 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 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.

Job Tags

Full time,

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