Senior Genomics Software Engineer (NGS & GPU)

F. Hoffmann-La Roche AG

United States

On-site

USD 145,000 - 270,000

Full time

14 days+

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Job summary

Roche is seeking a Bioinformatics Software Engineer to design, develop, and implement features for bioinformatics components and sequencing data pipelines. You will work within a fast-paced team to deliver scalable software for Roche sequencing products, collaborating with research and algorithm experts to apply techniques and GPU acceleration for improved performance.

The role requires a strong background in Python and C/C++, experience with NGS data, and proficiency with cloud and Linux

Qualifications

  • BS/MS/PhD in Computational Biology, Bioinformatics, Biomedical Engineering or related field.
  • 5+ years experience with NGS data and data analysis pipelines.
  • Strong Python skills and data science libraries; familiarity with C/C++.
  • Experience in large code bases or research repositories.
  • Understanding of core bioinformatics techniques including alignment methods and neural nets.
  • Experience collaborating with experimental teams to gather requirements and implement solutions.
  • Fast-paced, self-driven, detail-oriented, analytical.
  • Proficiency with GCP, AWS and Linux shell environments.

Responsibilities

  • Design, develop and implement features for bioinformatics components and pipelines.
  • Work with a fast-paced team to deliver high-quality software for Roche sequencing products.
  • Collaborate with research and algorithm experts to apply bioinformatics techniques and GPU acceleration.

Skills

Python
C/C++
NGS data
Data analysis pipelines

Education

B.S./M.S./PhD in Computational Biology or Bioinformatics or Biomedical Engineering

Tools

GCP
AWS
Linux
CUDA

Job description

Roche is seeking a Bioinformatics Software Engineer to design, develop, and implement features for bioinformatics components and sequencing data pipelines. You will work within a fast-paced team to deliver scalable software for Roche sequencing products, collaborating with research and algorithm experts to apply techniques and GPU acceleration for improved performance.

The role requires a strong background in Python and C/C++, experience with NGS data, and proficiency with cloud and Linux

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