Computational Biologist - Genomics (Newlands)

Computational Biologist - Genomics (Newlands)

28 Sep
|
Placements24
|
Newlands

28 Sep

Placements24

Newlands

About the Role

Our client is seeking a highly skilled Computational Biologist with a focus on Genomics to join their fully remote, world-class research team. This role is vital for interpreting complex genomic datasets to unlock new biological insights and drive drug discovery efforts. You will employ cutting-edge computational tools and statistical methods to analyze large-scale sequencing data, identify genetic variations, and understand disease mechanisms. The ideal candidate is a proactive problem-solver, adept at managing and analyzing large datasets, and passionate about contributing to genomic research from a remote setting. This is an exceptional opportunity to make a significant impact in a collaborative, innovative environment without geographical limitations.

Key Responsibilities

- Analyze large-scale genomic datasets, including whole-genome sequencing, exome sequencing, and RNA-Seq data.
- Develop and apply computational pipelines for variant calling, annotation, and differential gene expression analysis.
- Identify genetic associations with diseases or specific phenotypes using statistical and bioinformatics approaches.
- Collaborate closely with experimental biologists and clinicians remotely to interpret findings and design new experiments.




- Develop predictive models based on genomic data to guide research and therapeutic development.
- Visualize and present complex genomic data in a clear and understandable format to diverse audiences.

Requirements

- Ph.D. or Master's degree in Computational Biology, Bioinformatics, Genomics, Statistics, or a related quantitative field.
- Proven experience in analyzing next-generation sequencing (NGS) data and related bioinformatics tools.
- Proficiency in programming languages such as Python or R, and familiarity with relevant bioinformatics libraries.
- Strong understanding of statistical methods and their application to biological data.
- Experience with population genetics, variant analysis, or transcriptomics is highly desirable.
- Excellent communication skills, crucial for effective remote collaboration and scientific discourse.

Benefits

- Highly competitive salary and performance-based bonuses.
- Full remote work flexibility, allowing you to work from anywhere.
- Comprehensive health, dental, and vision insurance coverage.
- Generous allowance for home office setup and career development (courses, conferences).
- Access to powerful computing resources and collaborative online platforms for research.

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📌 Computational Biologist - Genomics (Newlands)
🏢 Placements24
📍 Newlands

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