Data Engineer - Operations

SOPHiA GENETICS combines deep expertise in life sciences with mathematical capabilities in data computing to create the future of AI-assisted Medicine.

We are looking for Data Engineer - Operations to join our team! As the Data Engineer – Operations, your mission is to build, leverage and maintain our genomics data query platform, evaluate data requests, and ensure timely delivery of data to stakeholders. The Data Engineer - Operations reports to the Head of Data Engineering and is responsible for developing and using part of the Data Hub infrastructure, building processes to organize data queries, run data quality checks, and maintaining the accompanying documentation for the Data Operations team activities.

SOPHiA GENETICS (NASDAQ: SOPH) combines Data-Driven Medicine, Genomics and Radiomics, to ensure that the data used to help patients today will also benefit the patients of tomorrow. SOPHiA DDM™ Platform in supporting multimodal data-driven medicine. Our healthcare platform is a one-of-a-kind globally distributed information system that brings together hospitals and labs to provide data ingestion and processing, analysis and modeling, reporting and intelligence, distribution and sharing of a multitude of complex sources of structured and unstructured data, including genomics, imaging, and clinical data, delivered as a multi-tenant SaaS platform on the cloud.

What we can offer you:

• You will be responsible for the research and development of data products based on multimodal data that aim to effectively connect patients to the right pharmaceutical treatment. You will collaborate daily with senior technical staff in- and outside of the team, across software engineering and data science. You will have the opportunity to recommend and drive new initiatives and support our fast-growing organization.
• An exciting company mission that brings together science and technology to directly impact the lives of patients
• A fast-growing company with plenty of opportunity for personal growth and development
• A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, machine learning

Requirements

RESPONSIBILITIES

• Engineer data models and queries to answer a wide range of data requests ranging from genomics, scientific, cloud pipelines and product usage related data.
• Build, maintain and leverage the data query platform, ensuring data is easily accessible to your team and authorized stakeholders.

• Successful management of data request, ensuring timely delivery of data to stakeholders, including evaluation of data requests on legal and compliance perspectives.
• Own processes to organize data requests and run data quality checks, ensuring data accuracy and consistency.
• Contribute to platform documentation and guidelines for the Data operations team activities.

Requirements

• • Bachelor’s degree in computer science, data science, mathematics, or a related field.
  • Strong knowledge of SQL, data storage & management solutions,
  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Good knowledge of data analysis tools and techniques (ETL, Python, dashboarding).
  • Knowledge of scalable data lake technologies (Parquet, Delta Tables, Spark, Databricks or similar)
  • Proven ability to work in a fast-paced and dynamic environment.
  • Strong attention to detail and ability to prioritize tasks.
  • Familiarity with Agile Scrum and Kanban methodologies.

Benefits

• A flexible, friendly and international working environment with a collaborative atmosphere
• An exciting company mission that brings together science and technology to directly impact the lives of patients with life threatening illness.
• A fast-growing company with plenty of opportunity for personal growth and development

• Exchanges and collaborations with experts within the company (AI, genomics, medicine, etc.)
• Passionate colleagues working to make a real different in patient care. Help us change the world!

Location: Rolle, Switzerland (ONSITE 3 days in the office)

Start Date: ASAP

Contract type : Permanent, Full Time

Application process

If you think you fit this position, please send a CV and a cover letter. Please note that incomplete applications will not be considered.

After an initial screening process, candidates will be invited for remote interviews. Selected candidates will then be invited for personal interviews.