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A leading biotechnology company in Mississauga seeks a proficient software developer to create GPU-accelerated algorithms for genomic data analysis. The desired candidate will possess strong skills in C++ and CUDA, as well as experience in bioinformatics. This role requires collaboration with a team of scientists and providing maintainable code. Relocation benefits are not available for this position.
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Develop and optimize GPU-accelerated algorithms for real-time analysis of sequencing data, including basecalling, alignment, variant detection, and other genomic data processing tasks.
Collaborate with bioinformaticians and molecular biologists to translate computational challenges in genomics into robust, scalable software solutions.
Implement and optimize neural network and other machine learning algorithms on GPU, adapting them for large-scale, high-throughput sequencing data.
Contribute to the design and implementation of novel sequence analysis algorithms, including signal processing, error correction, and statistical modeling.
Author dependable, readable, maintainable, and well-structured code in C++ and CUDA, following best practices for scientific and production software.
Work with the data scientists to accelerate existing algorithms or pipelines.
Stay current with advances in computational genomics, GPU computing, and algorithmic techniques; proactively research and integrate new methods as appropriate.
Bachelor's degree in Computer Science, Computer Engineering, or a related field with 3+ years of relevant experience; MS/PhD is a plus.
Strong expertise in bioinformatics algorithm development, with emphasis on sequence analysis, variant calling, or genomic workflows.
Proficient in C++ object-oriented programming and GPU programming using CUDA, with experience in GPU-accelerated libraries like cuDNN or Thrust.
Extensive experience in systems programming for parallel Linux applications, including writing, debugging, and performance optimization.
Strong understanding of machine learning and deep learning, especially applied to biological datasets, with hands-on experience in frameworks like PyTorch, TensorFlow, or JAX.
Proficient in Python for rapid prototyping, data analysis, and integrating bioinformatics pipelines with custom algorithms.
Proven analytical, problem-solving, and collaborative skills, with effective communication for technical and scientific contexts.
Relocation benefits are not available for this posting.
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Roche is an Equal Opportunity Employer.