Leanna Shuster

About Leanna Shuster

Leanna Shuster is an accomplished global pharmaceutical and informatics professional adept at solving complex problems via high-impact data analytics and visualizations. She has extensive experience with proactive, efficient communication in scientific software development, life sciences R&D, and drug discovery.I thrive in a teamwork environment, collaborating to accelerate the pace of science and bridge the gap between business and technology. I\'m at my best digging into complex datasets, discovering trends and patterns, and presenting findings in actionable and clear ways. Science and technology are firmly linked and I believe that carrying out efficient research requires improvement of technology. I am passionate about incorporating sustainability wherever possible - it\'s best for the business and for our wider community. Context matters to me - I want to understand user needs and learn from what came before.At Revvity Signals, I enjoy working across teams to help customers get the most out of our products. I partner closely with Product Managers, sharing customer feedback and insights to help shape new features. I love digging into new product capabilities so I can better support our scientific user base.In 15 years at GSK, I had the opportunity to be part of many cross-functional matrix program teams and enjoyed learning from and working with colleagues from other disciplines and backgrounds. During 5 years reporting directly to a UK-based manager, I displayed agility and resilience and sharpened my communication skills, including presenting at external meetings. I led a matrix team to overhaul internal health, safety, and environmental sustainability guidance for laboratory solvents and published our findings in a top-tier peer-reviewed journal, a paper with > 850 citations. As a member of the Discovery High-Throughput Chemistry team, I used Excel, Spotfire, and internal advanced software tools to design libraries of drug-like molecules, sampling diverse chemical space and joining theoretical and experimental datasets in order to efficiently solve key problems.KEY Data Analysis 🟣 Data Visualization🟣 Communication - Internal & External🟣 Scientific Quick Thinking🟣 Detail & Goal Oriented🟣 Data-driven Decision Making🟣 Problem SolvingTECHNICAL Chemistry Informatics Spotfire Excel Powerpoint Sharepoint

Experience

1. Field Application Scientist - Chemical Informatics

   Revvity Signals

   Oct 2022 — Present

   Formerly associated with PerkinElmer InformaticsSales Engineer enabling customers to discover how Revvity Signals\' software can make their scientific workflows and decision-making processes more efficient. Working closely with Sales, Marketing, and Product Development teams to continuously improve and promote our 1st in class suite of products.

Education

• Scripps College

  Bachelor of Arts - BA, Chemistry

• UCLA

  Master of Science - MS, Organic Chemistry

Skills

• Lead Change
• Synthetic Organic Chemistry
• Drug Design
• Data Analysis
• Chemistry
• Hplc
• Lc-Ms
• Drug Discovery
• Organic Synthesis
• Analytical Chemistry
• Small Molecules
• Organic Chemistry
• Hit to Lead
• Nmr
• Medicinal Chemistry
• Heterocyclic Chemistry
• Microwave Synthesis
• Pharmaceutical Industry
• Chromatography
• Green Chemistry
• Parallel Synthesis
• Lead Optimisation
• Purification