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Bioinformatics Staff Scientist - The Pennsylvania State University
Software Engineer
Lead bioinformatics research on large-scale genomic datasets, developing analytical pipelines and machine learning models to uncover biological insights using Python, R, and next‑generation sequencing technologies.
About the role
Key Responsibilities
- Design, implement, and maintain scalable bioinformatics pipelines for processing next‑generation sequencing data.
- Apply statistical modeling and machine learning techniques to extract biologically relevant patterns from high‑dimensional genomic datasets.
- Collaborate with multidisciplinary teams to translate computational findings into experimental hypotheses.
- Publish results in peer‑reviewed journals and present at scientific conferences.
- Mentor junior staff and students in bioinformatics methods and best practices.
Requirements
- Ph.D. in Bioinformatics, Computational Biology, or related field.
- Proficiency in Python and R for data analysis and pipeline development.
- Extensive experience with next‑generation sequencing data types (RNA‑seq, ATAC‑seq, WGS).
- Strong background in statistical modeling and machine learning applied to genomics.
- Excellent communication skills and ability to work collaboratively in a research environment.
Skills
pythonmachine learning