Role: Data Science and AI Associate

:clipboard: Overview

In my role as a Data Science and AI Associate within the Compound Screening for Drug Discovery team, I developed data models and pipelines for high-content profiling methodologies aimed at expediting the drug discovery process.

:trophy: Achievements

  • Received a £1500 award for employee recognition for developing a new method of interfacing with on-prem servers using an SSH client and an easy to use front-end, allowing biologists to run image pipelines end-to-end and improving efficiency.

:handshake: Collaborations:

  • Carragher Lab, Edinburgh
  • Broad Institute of MIT and Harvard

:bulb: Project Highlights

While most of the project details are proprietary, I summarise below some of the details of my work. Please feel free to reach out if you have further questions, or are interested in certain aspects of the work.

stack

Data Handling and Analysis

  • Leveraged data from DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery.
  • Developed and implemented robust data normalization, visualization, and modeling strategies.
  • Utilized Bayesian methods, particularly the Bayesian Group Factor Analysis framework, to integrate data from various sources effectively.

Automation and Scalability

  • Established scalable data pipelines to streamline project workflows.
  • Automated metadata capture and integrated database inputs via RESTful APIs, reducing human errors and enhancing efficiency and accuracy.

:rocket: Key capabilities developed:

  • UI/UX Design: I worked on designing user-friendly interfaces and experiences.
  • Writing Production-Ready Code: I ensured that the code I wrote was ready for production use, following best practices for efficiency and maintainability.
  • Agile Development: I worked within an Agile development framework, which allowed for iterative progress and flexibility.
  • Data integrity and data quality good practices.

:globe_with_meridians: Outreach Initiatives

In addition to my project work, I was also actively involved in STEM outreach initiatives. I had the opportunity to introduce many under resourced sixth form students to the fields of AI, machine learning, and data science through the leaders in STEM program. By giving them an insight into the work I was doing, I aimed to inspire and engage these students, demonstrating the potential of these rapidly evolving fields.