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.

The Position

A healthier future. Its 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. Thats what makes us Roche.

We are seeking a Software Engineer with extensive GPU programming experience and a passion for bioinformatics and advanced algorithm development to create GPU-accelerated tools for DNA sequencing data this role you will design and implement high-performance computational algorithmsleveraging both traditional bioinformatics methods and deep learning modelsoptimized for the throughput and accuracy requirements of next-generation sequencing technologies. You will work closely with a multidisciplinary team of scientists and engineers to transform sequencing data into actionable biological insights.

The Opportunity:

• 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.

Who you are:

• Bachelors 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.

Relocation benefits are not available for this posting.

Who we are

A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver life-changing healthcare solutions that make a global impact.

Lets build a healthier future together.