Computational Biologist

4 weeks ago

Mississauga, Ontario, Canada F. Hoffmann-La Roche Gruppe Full time

F. Hoffmann-La Roche Gruppe is committed to fostering diversity, equity, and inclusion, reflecting the communities we serve. In the realm of global healthcare, diversity is a vital component of success. We believe that inclusion is essential for understanding the diverse healthcare needs of individuals. Together, we celebrate uniqueness and share a dedication to exceptional care. Join Roche, where every voice is valued.

Position Overview

At Roche, we are driven by the vision of a healthier future. Our mission is to innovate continuously, advancing science to ensure that everyone has access to the healthcare they require today and for future generations. We strive to create a world where we can spend more time with our loved ones. This is the essence of Roche.

Roche Diagnostics stands as a global leader in healthcare diagnostics, dedicated to enhancing patient outcomes through pioneering diagnostic solutions. With a focus on precision medicine and personalized healthcare, we develop and commercialize cutting-edge diagnostic tests and technologies across various disease areas, including oncology, infectious diseases, and autoimmune disorders. Our goal is to empower healthcare professionals with accurate, timely, and actionable diagnostic insights to support informed clinical decision-making and improve patient care.

Key Responsibilities
  • Utilize advanced computational techniques and algorithms to analyze and interpret next-generation sequencing (NGS) datasets, encompassing whole-genome sequencing, exome sequencing, transcriptome sequencing, ChIP-seq, and other pertinent NGS applications. Conduct quality control, data preprocessing, alignment, variant calling, and annotation.
  • Design, implement, and optimize artificial intelligence and machine learning algorithms for the analysis of biological data, including but not limited to genomics, epigenomics, transcriptomics, proteomics, and metabolomics.
  • Develop methodologies for integrating diverse biological data sources to extract significant biological insights, combining the strengths of various data modalities to facilitate data-driven decision-making.
  • Create predictive models and computational frameworks to uncover intricate patterns within biological systems, applying them to risk prediction algorithms, disease detection and classification models, treatment response predictors, and discovery of disease mechanisms.
  • Employ advanced computational techniques to define, extract, validate, and characterize biomarkers relevant to diagnostic applications, leveraging multiomic data integration, feature selection methods, and predictive modeling strategies.
  • Contribute to the development of software tools, pipelines, and computational resources for bioinformatics analysis, data visualization, and dissemination of knowledge.
  • Collaborate with interdisciplinary teams of scientists and researchers to address biological questions, formulate hypotheses, and devise computational strategies for hypothesis testing and validation of findings.
  • Stay informed about the latest advancements in artificial intelligence, machine learning, and bioinformatics research, incorporating relevant methodologies and techniques into project workflows.
Qualifications
  • A Ph.D. or equivalent degree in bioinformatics, computational biology, statistics, computer science, machine learning, or a related discipline, with over 7 years of experience.
  • Proven expertise in artificial intelligence, machine learning, and statistical methods, particularly in their application to biological data analysis.
  • Proficiency in programming languages commonly utilized in bioinformatics and computational biology, such as Python or R, along with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Preferred Qualifications
  • Prior postdoctoral or industry experience in computational biology, bioinformatics, or a related field.

Relocation benefits are available for this position.

About Us

At Roche, over 100,000 individuals across 100 countries are pushing the boundaries of healthcare. Together, we have become one of the world's leading research-focused healthcare groups. Our success is founded on innovation, curiosity, and diversity.

Roche Pharma Canada employs over 850 individuals in a collaborative and vibrant environment that reflects Roche's innovative culture.

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