Bioinformatics Analyst III - Katalyst CRO : Job Details

Join to apply for the Bioinformatics Analyst III role at Katalyst CRO

Join to apply for the Bioinformatics Analyst III role at Katalyst CRO

• Design and implement bioinformatics pipelines for NGS data analysis (e.g., RNAseq, WES, CRISPR screens).
• Develop and apply statistical models and machine learning algorithms to analyze multi-modal datasets.
• Integrate and interpret genomic, transcriptomic, and other biological data to uncover Client insights into cancer biology and therapeutic targets.
• Collaborate with oncology project teams to address scientific questions and deliver impactful results.
• Create high-quality visualizations (e.g., ggplot2, Plotly) and interactive dashboards (e.g., RShiny) to communicate complex data effectively.
• Leverage HPC clusters, cloud computing platforms, and containerization tools (e.g., Docker) for scalable data analysis.
• Maintain reproducible workflows using version control systems (e.g., GitHub) and scripting (e.g., shell).
• Contribute to publications and presentations showcasing Client methodologies and research findings.

• Design and implement bioinformatics pipelines for NGS data analysis (e.g., RNAseq, WES, CRISPR screens).
• Develop and apply statistical models and machine learning algorithms to analyze multi-modal datasets.
• Integrate and interpret genomic, transcriptomic, and other biological data to uncover Client insights into cancer biology and therapeutic targets.
• Collaborate with oncology project teams to address scientific questions and deliver impactful results.
• Create high-quality visualizations (e.g., ggplot2, Plotly) and interactive dashboards (e.g., RShiny) to communicate complex data effectively.
• Leverage HPC clusters, cloud computing platforms, and containerization tools (e.g., Docker) for scalable data analysis.
• Maintain reproducible workflows using version control systems (e.g., GitHub) and scripting (e.g., shell).
• Contribute to publications and presentations showcasing Client methodologies and research findings.

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Genomics, Cancer Biology, Immunology, or a related field.
• Master's degree with 3-5 years of relevant experience, or Bachelor's degree with 6-8 years of experience in bioinformatics or oncology research.
• Expertise in NGS data analysis, including RNAseq, WES, and CRISPR screens.
• Proficiency in R and Python programming for statistical modeling and bioinformatics applications.
• Experience with HPC environments, cloud platforms, and containerization tools like Docker or Apptainers.
• Advanced data visualization skills using tools like ggplot2, Plotly, and RShiny for dashboard development.
• Solid understanding of oncology, including cancer biology, tumor dependencies, and signaling pathways.
• Strong track record of research publications in oncology and bioinformatics.
• Knowledge of predictive modeling, machine learning, and statistical analysis methods.
• Excellent written and verbal communication skills to present data insights to diverse audiences.
• Familiarity with version control systems (e.g., GitHub) and shell scripting.
• Experience in developing bioinformatics tools and workflows for clinical development projects.

• Seniority levelMid-Senior level

• Employment typeContract

• Job functionResearch, Analyst, and Information Technology
• IndustriesPharmaceutical Manufacturing

Referrals increase your chances of interviewing at Katalyst CRO by 2x

Get notified about new Bioinformatics Analyst jobs in Carrollton, TX.

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.