A leading biotech company in South San Francisco seeks a Bioinformatics Software Engineer to develop innovative tools for data analysis, focusing on transcriptomics and epigenetic data. The ideal candidate will have strong R programming skills, a PhD or equivalent experience, and a background in bioinformatics or related fields. This role involves collaborating with interdisciplinary teams to bridge the gap between data science and biological interpretation, supporting impactful scientific discoveries and drug development.
Qualifications
PhD or Master's degree with relevant experience in bioinformatics.
Expert knowledge of R and familiarity with analytical tools.
Experience in developing software projects throughout all stages.
Responsibilities
Establish and maintain analytical workflows and tools.
Collaborate with various teams to turn data into insights.
Engage with computational scientists to understand their needs.
Skills
R package development
Data analysis
Transcriptomics knowledge
Integration of biological data
Software development practices
Education
PhD in Software Engineering, Computer Science, or Bioinformatics
Master's degree or equivalent
Tools
R
Python
Bioconductor
Tidyverse
Job description
A leading biotech company in South San Francisco seeks a Bioinformatics Software Engineer to develop innovative tools for data analysis, focusing on transcriptomics and epigenetic data. The ideal candidate will have strong R programming skills, a PhD or equivalent experience, and a background in bioinformatics or related fields. This role involves collaborating with interdisciplinary teams to bridge the gap between data science and biological interpretation, supporting impactful scientific discoveries and drug development.