Precision Medicine Analyst
7 days ago
Job Title: Precision Medicine Analyst
Estimated Salary: $160,000 - $220,000 per year
About the Role:
We're seeking an experienced Precision Medicine Analyst to join our team at Unreal Gigs. As a key member of our bioinformatics group, you'll be responsible for analyzing and interpreting large-scale genomic datasets to uncover meaningful insights that drive advancements in personalized medicine, genomics research, and biotechnology.
Your Key Responsibilities:
- Analyze and Interpret Genomic Data: Perform in-depth analysis of genomic and genetic data, including DNA sequencing (NGS), RNA-seq, and whole-genome sequencing datasets. You'll identify genetic variants, mutations, and biomarkers that are critical for research and clinical applications.
- Develop and Maintain Data Pipelines: Build and manage data analysis pipelines that automate the processing of large-scale genetic datasets. You'll ensure that these pipelines are efficient, scalable, and able to handle complex data from multiple sources, including high-throughput sequencing technologies.
- Collaborate with Geneticists and Researchers: Work closely with geneticists, bioinformaticians, and clinical researchers to translate genomic data into actionable insights. You'll support their research by providing detailed data analysis, statistical interpretation, and visualization of genetic findings.
- Perform Statistical and Bioinformatics Analyses: Apply statistical techniques and bioinformatics tools to analyze genetic data, identify significant patterns, and validate findings. You'll use tools like R, Python, Bioconductor, and other bioinformatics software to extract meaningful insights from raw data.
- Support Precision Medicine Initiatives: Contribute to precision medicine projects by identifying genetic variants associated with diseases, drug responses, and hereditary conditions. You'll help develop personalized treatment plans and therapies based on individual genetic profiles.
- Visualize and Report Data Insights: Create visualizations, reports, and presentations that communicate complex genetic data clearly and effectively. You'll use data visualization tools to present findings to non-technical stakeholders, including clinical teams and research collaborators.
- Ensure Data Quality and Integrity: Implement robust data quality checks to ensure the accuracy, reliability, and reproducibility of genetic analyses. You'll work to maintain data integrity across different stages of analysis and ensure that results meet high scientific standards.
Requirements:
- Genomics and Bioinformatics Expertise: Extensive experience in analyzing and interpreting genomic data, including whole-genome sequencing (WGS), exome sequencing, RNA-seq, and other high-throughput sequencing datasets. You're familiar with common genetic analysis tools and databases.
- Programming and Data Analysis: Proficiency in programming languages like Python, R, or Perl for data analysis and pipeline development. You're skilled in applying statistical methods to large genetic datasets and interpreting results.
- Data Visualization and Reporting: Experience using data visualization tools like ggplot2, Matplotlib, or Seaborn to present genetic data in an intuitive and accessible manner. You're familiar with tools like GATK, ANNOVAR, and SnpEff for variant analysis.
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