Data Scientist Data Automation Specialist

Responsibilities:
* Lead the deployment of automation technologies to streamline the creation and updating of mandatory materials.
* Conduct thorough evaluations of automation technologies tailored to pharmaceutical documentation needs.
* Prioritize vendors with relevant experience and technical expertise in automation projects.
* Develop clear implementation plans outlining scope, timeline, and resource requirements for testing automation solutions.
* Supervise the successful piloting of automation solutions and closely monitor performance.
* Utilize advanced language models to automate FAQ creation from scientific articles.
* Train language models using existing FAQs and scientific literature from databases.
* Establish systems for automatic generation and review of FAQs to reduce manual effort.
* Design algorithms to extract insights and summaries from detailed call notes captured by the Medical Science Liaison team.
* Apply data science techniques to analyze verbatim discussions and identify critical signals and trends.
* Collaborate with team members to translate medical insights captured by MSL into actionable strategies.
* Continuously improve data science models based on feedback and evolving needs.
Detailed Responsibilities:
Automation Integration for Pharmaceutical Documentation:
* Assess available automation technologies tailored to pharmaceutical documentation needs.
* Evaluate solutions based on data extraction efficiency, natural language processing capabilities, and compatibility with existing systems.
* Prioritize vendors with experience in similar automation projects.
* Develop a comprehensive implementation plan, including scope, timeline, and resource requirements.
* Oversee successful piloting of automation solutions, monitoring performance and gathering feedback for optimization.
* Scale automation solutions to encompass all mandatory documents for creation and updates.
FAQ Creation Using Advanced Language Models:
* Utilize advanced language models, such as GenAI, to automate FAQ creation from scientific articles.
* Train language models using existing FAQs and scientific literature from databases like Pubmed or Embase.
* Implement systems for automatic generation and review of FAQs to improve efficiency.
* Ensure accuracy and relevance of generated FAQs through continuous monitoring and refinement.
Data Science for Medical Science Liaison (MSL) Insights:
* Develop algorithms to extract insights and summaries from detailed call notes captured by the MSL team.
* Use data science techniques to analyze and interpret verbatim discussions, identifying key signals and trends.
* Collaborate with MSL team members and managers to translate raw medical voice of customer into actionable insights.
* Design algorithms to evaluate insights with a quality index.
* Implement automated processes to streamline insight generation and assessment.
* Continuously refine and enhance data science models based on feedback and evolving requirements.
Computer Futures is part of the larger SThree group, the global STEM-specialist talent partner.
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Award winner of:
The IT and Technology Recruitment Company of the Year by TIARA Awards 2018 | Best Large Company to Work For by TIARA Awards 2021 | Best CSR Initiative by TIARA Awards 2019 | Best Workplace by Great Place to Work Institution 2019, 2021, 2022 & 2023.