Role: Computational Biologist (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 Opportunity: This role offers the chance to contribute to groundbreaking research in precision medicine, leveraging advanced computational techniques to impact patient care globally. The contract includes access to high-performance computing resources and collaboration with domain experts in genomics and clinical research.

Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

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