Opis oferty:

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Wymagania:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, with 5+ years of relevant experience (MS/PhD is advantageous).
• Expertise in bioinformatics algorithm development, with a focus on sequence analysis, variant calling, or genomic workflows.
• Proficient in object-oriented programming (C++) and GPU programming using CUDA, including familiarity with GPU-accelerated libraries like cuDNN or Thrust.
• Advanced experience in systems programming for parallel Linux applications involving both CPUs and GPUs, with strong debugging and optimization skills.
• Solid grasp of machine learning and deep learning, particularly in relation to biological data, along with experience using frameworks like PyTorch, TensorFlow, or JAX.
• Skilled in Python for prototyping, analysis, and integrating bioinformatics pipelines, as well as interfacing deep learning models with custom algorithms.
• Excellent analytical, problem-solving, and communication skills, with a proven ability to deliver innovative scientific solutions and work effectively in cross-disciplinary teams.

Dodatki i korzyści:

• Develop and optimize GPU-accelerated algorithms for real-time analysis of sequencing data.
• Collaborate with bioinformaticians and molecular biologists to create robust, scalable software solutions.
• Implement and optimize neural network and machine learning algorithms on GPU.
• Contribute to the design of novel sequence analysis algorithms and accelerate existing pipelines.
• Stay current with advances in computational genomics, GPU computing, and algorithmic techniques.