Associate Data Engineer

Bei Roche kannst du ganz du selbst sein und wirst für deine einzigartigen Qualitäten geschätzt. Unsere Kultur fördert persönlichen Ausdruck, offenen Dialog und echte Verbindungen. Hier wirst du für das, was du bist, wertgeschätzt, akzeptiert und respektiert. Dies schafft ein Umfeld, in dem du sowohl persönlich als auch beruflich wachsen kannst. Gemeinsam wollen wir Krankheiten vorbeugen, stoppen und heilen und sicherstellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und in Zukunft. Werde Teil von Roche, wo jede Stimme zählt.

Die 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 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

Wer wir sind

Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.

Gemeinsam können wir eine gesündere Zukunft gestalten.

Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.