- Role
: Computational Biologist & Genomics Analyst (Remote)
- Location
: Remote (Work from Anywhere)
- Job Type
: Contract
- Payout
: $40 - $60/hour

Role Overview:

We are hiring for one of our clients seeking a Computational Biology & Genomics Analyst to analyze genomic data, interpret biological significance, and develop computational models for precision medicine applications. The role involves processing large-scale sequencing datasets to identify biomarkers and therapeutic targets while collaborating with cross-functional teams to translate findings into actionable insights.

Key Responsibilities:

• Process and analyze next-generation sequencing (NGS) data, including WGS, WES, and RNA-Seq, using standardized bioinformatics pipelines.

• Interpret genomic variants and their implications for disease mechanisms, drug responses, or patient stratification.

• Develop and validate machine learning models to predict clinical outcomes from genomic and phenotypic data.

• Generate reproducible research outputs, including reports, visualizations,



and statistical summaries for stakeholders.

• Stay current with emerging computational biology tools and genomic databases to enhance analytical methodologies.

Required Skills & Qualifications:

• Proficiency in programming languages such as Python or R for genomic data analysis and statistical modeling.

• Experience with bioinformatics tools (e.g., GATK, BWA, STAR, DESeq2) and databases (e.g., ClinVar, TCGA, gnomAD).

• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) applied to biological datasets.

• Familiarity with cloud computing platforms (e.g., AWS, GCP) for scalable genomic data processing.

• Strong background in computational biology, genomics, or a related quantitative field (e.g., bioinformatics, systems biology).

More About the Prospect:

This role offers the chance to contribute to groundbreaking research in precision medicine, leveraging advanced computational techniques to impact pa

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