Data and Analytics

1 month ago

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

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.

The ideal candidate is a proactive self-starter with robust programming expertise and a curiosity about innovative thinking. They are passionate about data and have a consistent track record of delivering successful projects. In this role, they will focus on building data pipelines, integrating diverse data sources, and creating innovative AI models, driving our mission to harness data for ground-breaking solutions.

The Opportunity

  1. Translate business requirements into data models and data warehousing layers on AWS to support APIs, visualization tools, and data analytics.
  2. Implement ETL pipelines to extract and load data into and from databases; automate manual processes.
  3. Evaluate and participate in designing sprints for database/data warehouse solutions as the organization grows.
  4. Support highly performant APIs, visualization tools, and data analytics while ensuring alignment to FAIR data principles.
  5. Provide technical mentorship and cross-training to peers and team members; collaborate with multidisciplinary teams to ensure data acquisition, integrity, availability, and security.
  6. Contribute to the development and implementation of Roche DIA’s Enterprise Data Management strategy; understand sophisticated scientific problems and develop reliable solutions.
  7. Leverage experience with genomics data, data modeling, ontologies, and strong technical communication skills in a collaborative and dynamic research environment.

Who you are

  1. You have completed a Bachelor’s degree in Management Information Systems, Computer Science, Analytics, or equivalent and at least 3 years of relevant experience in data engineering and/or business intelligence.
  2. You have experience with programming languages such as Nextflow, Conda, Java, or Python for developing data pipelines.
  3. You bring operationalization experience in Data Science projects (MLOps) using popular frameworks or platforms like Kubeflow, AWS Sagemaker, Google AI Platform, h2O, etc.
  4. You have advanced experience in working with graph or relational databases, query authoring, and delivering data-models and pipelines using cloud services and architectures.

Relocation benefits are not available for this 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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