remote
Staff Scientist, Bioinformatics - Thermo Fisher Scientific
Software Engineer
Lead advanced bioinformatics research, developing scalable pipelines for next‑generation sequencing data analysis using Python and R, and applying statistical modeling and machine learning to uncover biological insights.
About the role
Key Responsibilities
- Design, implement, and optimize end‑to‑end bioinformatics pipelines for large‑scale next‑generation sequencing datasets.
- Apply statistical modeling and machine learning techniques to extract biologically meaningful patterns and predictions.
- Collaborate with cross‑functional teams to translate computational findings into actionable biological insights.
- Maintain and enhance open‑source and in‑house software tools, ensuring reproducibility and scalability.
- Publish results in peer‑reviewed journals and present at scientific conferences.
Requirements
- Ph.D. or equivalent experience in Bioinformatics, Computational Biology, or related field.
- Proficiency in Python and R for data analysis and pipeline development.
- Strong background in next‑generation sequencing technologies and genomic data analysis.
- Experience with statistical modeling, machine learning, and large‑scale data processing.
- Excellent communication skills and ability to work collaboratively in a multidisciplinary environment.
Skills
pythonmachine learning