Senior Computational Biology Specialist
4 days ago
Vets Hired is a dynamic and innovative organization dedicated to advancing cancer research through cutting-edge genomic analysis.
Compensation PackageWe offer a competitive salary of $120,000 per year, commensurate with experience.
Job DescriptionThis 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.
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.
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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