Jr Data amp Analytics Engineer - WCG Clinical

JOB SUMMARY:

The Junior Data & Analytics (D&A) Engineer plays a pivotal role in the development of analyticsdriven solutions that optimize and streamline clinical trial processes. Working closely with our data & analytics team and clinical trial experts this role will harness the power of cuttingedge AI and LLM (Machine Learning and Deep Learning) technologies for enhancing decisionmaking in the field of clinical trial process. The Junior D&A Engineer is part of a team that is domain agnostic working handson with structured as well as unstructured data designing algorithms and implementing innovative capabilities that cater to an array of business use cases within the data & analytics function at WCG. As a core member of the data & analytics team the Junior D&A Engineer designs and builds analytics frameworks documents best practices and works with the architecture and infrastructure teams on developing patterns.

ESSENTIAL DUTIES/RESPONSIBILITIES: To perform this job successfully an individual must be able to perform each essential duty and responsibility satisfactorily. The accountabilities listed below are representative of the knowledge skills and/or ability required.

• Data Collection and Integration: Collaborate with crossfunctional teams to collect clean and integrate diverse healthcare and clinical trial data from various sources.
• Machine Learning Model Development: Design develop and implement machine learning and deep learning models to address specific challenges in clinical trials such as patient recruitment data analysis protocol study anomaly detection document entity extraction document generation translation and outcome prediction.
• Data Processing: Create data pipelines and workflows to preprocess and transform data into a format suitable for analysis and modeling.
• Model Evaluation: Conduct rigorous testing and evaluation of machine learning models ensuring accuracy reliability and robustness.
• Data Visualization: Develop interactive data visualizations and dashboards to communicate insights and outcomes to both technical and nontechnical stakeholders.
• Documentation: Maintain detailed documentation of data engineering and analytics processes including code model specifications and best practices.
• Research and Innovation: Stay updated on the latest advancements in AI and LLM technologies and explore their potential applications in improving clinical trial processes.
• Collaboration: Work closely with clinical experts data scientists and engineers to develop and deploy solutions that directly impact the healthcare and clinical research industry.
• Other duties as assigned by supervisor. These may on occasion be unrelated to the position described here.

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