Data Scientist

• The Clinical Data Manager II/Senior Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects.
• Supervise project data entry process including development of data entry guidelines, training, data entry quality, and resourcing.
• Ensure clinical data management deadlines are met with quality.
• Conduct database build UAT and maintain quality controlled database build documentation.
• Provide input, assess and manage timelines.
• Review and query clinical trial data according to the Data Management Plan.
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders.

Clinical Data Manager II – Senior Clinical Data Manager

• Responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects
• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s)
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
• May perform quality control of data entry
• Provide input, assesses and manage timelines
• Conduct database build UAT and maintain quality controlled database build documentation
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed
• Review and query clinical trial data according to the Data Management Plan
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
• Run patient and study level status and metric reporting
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
• Coordinate SAE/AE reconciliation
• Liaises with third-party vendors
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
• Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation

Clinical Data Manager II/Senior Clinical Data Manager

• Deliver Data Science Projects: Work with your team to execute end-to-end data science projects, including data collection, preprocessing, feature engineering, model development, validation, and deployment.
• Statistical Analysis: Assist in developing advanced statistical techniques to analyze large datasets and uncover patterns, trends, and correlations that provide valuable insights to support business objectives.
• Machine Learning and Modelling: Assist in developing and implementing predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning.
• Data Visualization: Assist in creating clear and compelling visualizations to effectively communicate complex analytical findings.
• Team Collaboration: Collaborate with team members and cross-functional teams like engineering and product.
• Performance Optimization: Continuously improve the accuracy, efficiency, and scalability of your work.
• Collaboration: Work closely with other data scientists and contribute to building a strong data science team.
• Stay Updated: Keep abreast of the latest advancements in data science, machine learning, and related fields, and proactively identify opportunities to leverage emerging technologies and techniques.

Associate Data Scientist – Flutter

• Shape and implement the company’s data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows
• Identify opportunities to leverage data for business value and impact
• Take ownership of the full technical stack for development and deployment
• Design, build, and maintain scalable machine learning models and efficient data pipelines
• Ensure robust data management and engineering practices
• Collaborate with cross-functional teams to gather requirements and deliver insights
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Senior Data Scientist

• Develop and optimize speech-to-text models using deep learning techniques.
• Design and implement post-processing pipelines using LLMs to enhance transcription accuracy, formatting, and contextual understanding.
• Build and deploy end-to-end machine learning pipelines for speech and text processing.
• Fine-tune and evaluate large language models for domain-specific use cases.
• Work with large-scale audio and text datasets, ensuring quality and consistency.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Optimize models for performance, scalability, and latency.
• Conduct experiments, analyze results, and continuously improve model performance.
• Ensure data governance, privacy, and ethical AI practices.
• Document models, methodologies, and findings for knowledge sharing.

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Clinical Data Manager II – Senior Clinical Data Manager

Clinical Data Manager II/Senior Clinical Data Manager

Associate Data Scientist – Flutter

Senior Data Scientist

Senior Data Scientist