Senior Computational Biology Specialist

4 days ago


New York, New York, United States Vets Hired Full time
About Vets Hired

Vets Hired is a dynamic and innovative organization dedicated to advancing cancer research through cutting-edge genomic analysis.

Compensation Package

We offer a competitive salary of $120,000 per year, commensurate with experience.

Job Description

This Senior Computational Biology Specialist will play a key role in developing and applying analytical methods for cutting-edge genomic research. The ideal candidate will have a strong background in bioinformatics, computational biology, or computer science, with a focus on molecular biology.

The successful candidate will be responsible for:

  • Software Development: Creating software to advance single-cell genomics research.
  • Data Analysis: Analyzing sequencing datasets to address innovative and clinically relevant research questions.
  • Troubleshooting: Evaluating results and resolving issues with new analytical methods.
  • Research and Application: Exploring new developments in computational biology and applying them to large-scale datasets.
  • Collaboration: Partnering with researchers to address questions in cancer genomics and interpreting results.
  • Training: Mentoring junior analysts in running pipelines, performing quality control, and routine analyses.
Required Skills and Qualifications

To be successful in this role, you will need:

  • A PhD in Bioinformatics, Computational Biology, or Computer Science with a focus on molecular biology, or equivalent practical experience.
  • 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.
  • A portfolio demonstrating coding skills through a code sample or portfolio.
Core Skills

The ideal candidate will possess:

  • Motivation: A drive to develop impactful software for advancing scientific discovery.
  • Biological Expertise: A 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.


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