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Sr. Computational Biologist I

Sr. Computational Biologist I

Vets HiredNew York, NY, United States
8 days ago
Job type
  • Full-time
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.