Sr Engineer Data Processing Solutions

The Software and Clinical Data Engineer in Data Processing Solutions acts as an expert in clinical data processing technologies to guarantee support required by the Global Development GD organization As a member of the Data Processing Solution team they will develop in-depth knowledge in clinical data management and programming technologies and take an ownership for projects to either build new or improve existing solutions for the clinical study teams This role will be responsible for developing digital tools and processes to support clinical trial data integrations transformations and analyses as well as clinical data standards management They will also support a clinical trail data flow from acquisition systems through landscape of all downstream systems They will collaborate with data managers clinical and statistical programmers clinical teams biostatisticians medical writers technical specialists and external vendors This position has no direct reports however it may provide direction to external vendors and contractors This role will require building strong internal and external partnerships and will collaborate daily with other team members located in US Europe and Asia It uniquely combines technical and programming skills with a broad exposure to clinical data processing as well as collaboration with multiple functions in clinical development The following are examples of the solutions which may be part of the supported portfolio Data Management Environment DME platform Statistical Programming Environment SCE platform SAAS based solutions tailored to the life sciences industry Customized web platforms to automate clinical data management activities like clinical standards library management clinical study specification setup and clinical data validation Data conversion frameworks and tooling to translate raw data into datasets for regulatory submissions and for analysis and for consumption by various downstream applications Key Responsibilities Develop digital tools programs and processes for use by global user community within Global Development Provide technical support mentorship and or coaching in a domain of their expertise Build and operate infrastructure toolset and deployment pipelines within platforms supported by Data Processing Solutions team Develop scalable and robust code in R or Python Write code that is high quality well documented efficient and is easy to maintain Drive testing and deployment of software solutions including implementing of automated testing to ensure solution quality Improve operational efficiency by developing automation tools and scripts e g CI CD automation Provide ongoing solution support incl incident and problem management L2 root cause analysis and request fulfilment Provide technical expertise in process system and tool improvement initiatives Ensure compliance with regulatory security and other audit requirements at all times Conducts requirements collecting and analysis Share expertise to support the clinical data delivery and analysis teams and Clinical Research Organizations CROs by coordinating trainings Question and Answers sessions and organizing direct support when needed Qualifications A minimum of a Bachelors degree in Computer Science Engineering Science or related field is required A Masters degree is preferred Experience and Skills Required A minimum of 6 years of meaningful experience in software development and engineering clinical development or data science field High proficiency in Python or R including R-Shiny Knowledgeable in modern software design patterns and architectural principles Must have superb communication interpersonal and written skills Must be able to work independantly and without supervision Preferred Knowledge of Data Management or and Statistical Computing platforms Extensive experience with data wrangling data processing and data engineering techniques on large datasets Must have a Global Business demeanor and be able to support system and process improvements with operational excellence Must possess ability to think analytically be quality results oriented and customer focused Technical expertise preferably in pharmaceutical or a regulated industry with extensive experience gained through working with diverse and complex data integration warehousing and ingestion Other Solid understanding of code life cycle management and code repositories is a plus Familiarity with machine learning model development validation and deployment is a plus Functional SDLC toolchain knowledge including but not limited to CI CD pipelines test automation and container-based deployment technologies is a plus Position will require 10 travel