Principal Bioinformatics Scientist -Computational Biology

Canada Pharma Campus

Roche

As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.

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Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

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. 

Roche Diagnostics is a global leader in healthcare diagnostics, committed to improving patient outcomes through innovative diagnostic solutions. With a focus on precision medicine and personalized healthcare, Roche Diagnostics develops and commercializes advanced diagnostic tests and technologies across various disease areas, including oncology, infectious diseases, and autoimmune disorders. Our mission is to empower healthcare professionals with accurate, timely, and actionable diagnostic insights to support informed clinical decision-making and improve patient care.

The Opportunity 

  • Apply advanced computational methods and algorithms to analyze and interpret NGS datasets, including whole-genome sequencing, exome sequencing, transcriptome sequencing, ChIP-seq, and other relevant NGS applications. Perform quality control, data preprocessing, alignment, variant calling, and annotation.

  • Design, implement, and optimize AI and machine learning algorithms for analyzing biological data, including but not limited to genomics, epigenomics, transcriptomics, proteomics, and metabolomics data.

  • Develop methods for integrating heterogeneous biological data sources to extract meaningful biological insights, combine the strengths of different data modalities and facilitate data-driven decision-making.

  • Build predictive models and computational frameworks to uncover complex patterns in biological systems, and apply them to risk prediction algorithms, disease detection and classification models, treatment response predictors and disease mechanism discovery.

  • Apply advanced computational methods to define, extract, validate, and characterize biomarkers relevant to diagnostic applications, leveraging multiomic data integration, feature selection techniques, and predictive modeling approaches.

  • Contribute to the development of software tools, pipelines, and computational resources for bioinformatics analysis, data visualization, and knowledge dissemination.

  • Collaborate with interdisciplinary teams of scientists and researchers to understand biological questions, formulate hypotheses, and devise computational strategies to test hypotheses and validate findings.

  • Keep up-to-date with the latest advancements in AI, machine learning, and bioinformatics research, and incorporate relevant methodologies and techniques into project workflows.

Who you are

  • You have a Ph.D. or equivalent degree in bioinformatics, computational biology, statistics, computer science, machine learning, or a related field and bring over 7 plus years’ of experience 

  • You have demonstrated expertise in AI, machine learning, and statistical methods, with a focus on their application to biological data analysis. 

  • You are proficient in programming languages commonly used in bioinformatics and computational biology, such as Python or R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Preferred Qualification:

  • You have prior postdoctoral or industry experience in computational biology, bioinformatics, or a related field.

Relocation benefits are available for this job posting.



 

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

Roche is an Equal Opportunity Employer.

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Tags: Bioinformatics Biology Classification Computer Science Data analysis Data visualization Machine Learning Pharma Pipelines Predictive modeling Python PyTorch R Research Scikit-learn Statistics TensorFlow

Perks/benefits: Career development Equity / stock options Relocation support

Region: North America
Country: Canada

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