Bioinformatics Analyst I/II

Responsibilities

• Analyze large sequence datasets from diverse workflows including bulk RNA-seq, single-cell sequencing, and spatial transcriptomics platforms.
• Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows.
• Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines.
• Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects.
• Consult with researchers on sound experimental design.
• Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the Hutch community.
• Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications.
• Ability to learn new tools and content quickly and independently (although training will be given for specific types of analysis performed in the lab).

Qualifications

• Bachelor’s degree in Statistics, Biostatistics, Bioinformatics or equivalent education. 0-2 years of work experience with bioinformatics in the relevant scientific domain.
• Proficiency in, at least, one modern scripting or programming language (Python, R, etc).
• Bioinformatics Analyst II: Bachelor’s degree in bioinformatics, computational biology, genetics, or related field with at least three years’ direct experience in computational analysis of large sequence-based molecular data sets. Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq).
• Effective use of shell scripting and significant fluency in R and Python 3 are essential.
• Familiarity with commonly used Bioconductor packages, ggplot, tidyverse etc.
• Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).

Preferred Qualifications

• MS degree in Computational Biology, Computer Science, or Bioinformatics, with at least 3 years direct experience in computational analysis of large sequence-based molecular datasets.
• Experience analyzing sequence data with effective use of shell scripting.
• Familiarity with version control and other software development best practices.
• Experience with workflow manager such as NextFlow.
• Record and track analysis processing in GitHub, manage data transfers.
• Familiarity with commonly used Bioconductor packages, ggplot, tidyverse etc.
• Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).
• Excellent written and verbal communication skills are absolutely required.
• Ability to learn new tools and content quickly and independently.
• Strong oral and communication skills.
• Willing to work onsite most days (some flexibility in remote work).
• Ability to work collaboratively with a team of individuals with diverse backgrounds and expertise.
• A strong interest in developing reproducible analyses and reports.
• Experience working in and developing cloud computing environments is a plus.
• Knowledge of and interest in immunology/molecular biology a plus.