Bioinformatics Scientist
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Job Description
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Key Responsibilities:
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Analyze large-scale biological datasets including next-generation sequencing (NGS) transcriptomics epigenomics and proteomics.
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Develop and maintain robust scalable computational pipelines for data preprocessing alignment annotation and statistical analysis.
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Collaborate with molecular biologists clinicians and data scientists to support interdisciplinary research and product development.
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Interpret and visualize biological data to identify patterns biomarkers or novel mechanisms relevant to human health and disease.
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Maintain accurate and well-documented code protocols and analysis reports to ensure reproducibility.
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Evaluate and integrate new bioinformatics tools algorithms and public datasets into research workflows.
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Present research findings to internal teams and contribute to scientific publications presentations and grant proposals.
Qualifications:
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Ph.D. or Masters degree in Bioinformatics Computational Biology Genomics or a related field.
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25 years of hands-on experience in bioinformatics or computational biology.
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Strong programming and scripting skills (e.g. Python R Bash).
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Experience with NGS technologies and tools (e.g. BWA STAR GATK DESeq2 SAMtools BEDTools).
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Familiarity with biological databases (e.g. Ensembl NCBI UCSC Genome Browser).
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Solid foundation in molecular biology genetics and statistics.
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Strong communication skills and ability to work in a collaborative fast-paced environment.
Preferred Skills:
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Experience with cloud computing environments (AWS GCP) and workflow management tools (Nextflow Snakemake).
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Familiarity with version control (e.g. Git) and containerization (Docker Singularity).
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Background in a specific therapeutic area (e.g. oncology rare disease infectious disease).
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Experience with single-cell data analysis multi-omics integration or clinical genomics.
Employment Type
Full Time
