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Vgenomics is at the forefront of biotech innovation, leveraging genomics and artificial intelligence to tackle diagnostic challenges for rare diseases. With a team of experts boasting 200+ research articles, 150+ US patents, and over 30 years of cumulative experience, Vgenomics is dedicated to transforming the rare disease landscape.
Key Responsibilities
- Analyze genomic and transcriptomic datasets for rare disease diagnostics.
- Develop and optimize bioinformatics workflows and computational pipelines.
- Collaborate with interdisciplinary teams for actionable insights.
- Manage and curate large-scale genomic datasets.
- Stay updated on the latest bioinformatics tools and methodologies.
- Contribute to scientific publications, presentations, and grant proposals.
Mandatory Qualifications and Skills
Education:
- Master’s degree in Bioinformatics, Computational Biology, Genomics, or related fields.
Experience:
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- 1-3 years of experience in bioinformatics or genomics.
- At least 1 research publication or equivalent project work.
Skills:
- Expertise in NGS data analysis tools (e.g., GATK, HISAT2, STAR).
- Proficiency in Python, R, or similar programming languages.
- Familiarity with biological databases (e.g., Ensembl, UCSC, NCBI).
- Strong computational and statistical analysis skills for large-scale genomic data.
- Knowledge of Linux/Unix systems and high-performance computing.
- Hands-on experience in immuno-oncology.
Preferred Skills
- Experience with cloud platforms like AWS or Google Cloud.
- Familiarity with workflow managers like Nextflow or Snakemake.
- Knowledge of machine learning applications in bioinformatics.
- Expertise in structural bioinformatics or systems biology.
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