Associate Data Engineer

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 The PTE (Pharma Technical Operations Digital Analytics & Operational Excellence) organization will catalyze the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We will build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients. PTE’s Digital Data Backbone Chapter will enable this vision by making FAIR data available across the organization establishing a decentralized, value driven and data product centric approach. As a member of the PTE Data Engineering and Architecture Team, you will work in multi-disciplinary environments harnessing data to provide real-world impact for our processes and products. You’ll work closely with a team of data scientists, subject matter experts and other data engineers in order to curate, transform and construct features which feed directly into our modeling approach. Additionally, you will contribute to the delivering FAIR data products. This role requires an individual who can and wants to collaborate, listen and learn from colleagues, challenge thoughtfully and prioritize impact of work. You will be responsible for finding improvements in advanced data analytic models and data architecture. We are looking for someone who can quickly adapt to an ever changing environment, has a passion to learn and can be trusted to work in the best interests of colleagues. Job Responsibilities Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Building modular pipeline to construct features and modeling tables Collect clear requirements from SMEs and process experts. Hybrid technical role interfacing with process SMEs using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Understanding, assessing and mapping the data landscape Work with our process experts to model their data landscape, obtain data extracts and define secure data exchange approaches Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models Supplementary Responsibilities Maintaining our Information Security standards on the engagement Defining the technology stack to be provisioned by our infrastructure team Use new and creative techniques to deliver impact for our clients as well as internal R&D projects Who you are Education and Experience University Degree with a minimum of 3+ years of relevant work experience in the bio-pharmaceutical industry specializing in bioprocess manufacturing sciences and technology or 5+ years of working experience with a degree in Statistics, Data Science, Mathematics, Software Engineering, Bioinformatics or a related field. Knowledge, Skills and Abilities Proven and significant experience building and managing data pipelines. Ability to build and manage data pipelines with Python, Scala or Java. Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability. Commercial client-facing project experience is helpful, including working in close-knit teams Capable of working across structured, semi-structured, and unstructured data, extract information and identify linkages across disparate data sets. Meaningful experience in multiple database technologies (such as Hadoop, MS SQL Server, Oracle, MySQL, Teradata, Snowflake). Confirmed ability in clearly communicating complex solutions Deep understanding of Information Security principles to ensure compliant handling and management of process data Experience and interest in Cloud platforms such as: AWS, Azure, or Google Platform Familiarity with data warehousing and deploying ETL processes with Python. Extraordinary attention to detail. Strong organizational and interpersonal skills: can get things done in a way that optimizes results, strengthens internal and external relationships, and with consideration of resources. Knowledge of cGMP’s, Health Authority regulations, and Quality Systems. Work Environment/Physical Demands/Safety Considerations Ability to work in an international/global environment. 5-15% travel anticipated. May work in the clean room environment that requires gowning in the form of hospital scrubs, Ability to sit, stand and move within work space for extended periods Able to work on co-located or remote cross-functional teams Who we are A healthier future drives us to innovate. Together, more than 100’000 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. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.