Experience

Digital Transformation via Strategic Implementation

• Collected clients' executive requirements related to digital transformation, data strategy improvement, and ML/AI solution enablement — proposing approaches and outlining identified risks of different digital solutions.
• Identified known and unrealized pain points at partner organizations; leveraged intimate industry knowledge to implement digital solutions that optimize R&D operations, information systems, and data accessibility.
• Determined scientifically-cognizant software solutions and designed digital infrastructure improvements for supporting R&D information systems for small molecule and biologics.
• Engaged with clients' technical stakeholders to define system specifications, ensure security policy adherence, assess compatibility, and scope requirements for seamless adoption.
• Designed solutions to centralize global R&D data, optimize user interfaces for research scientists, and accelerate scientific R&D by leveraging cutting-edge predictive ML and agentic AI tools.

Enterprise Platform Support & Technical Project Delivery

• Served as the primary contact for a $5.5M book of business and facilitated a 22% YoY average expansion across 18+ partnerships — five of these partners are among the top 20 pharma by revenue.
• Fulfilled and negotiated RFIs & RFPs; drafted and revised technical SOWs for platform deployments, advanced technical projects, and software co-development opportunities.
• Ensured both the fulfillment of granular support inquiries and timely delivery of enterprise-level projects, serving as a liaison between scientific & technical stakeholders.
• Scoped and managed a wide variety of technical projects including enterprise cloud SaaS deployments, assay & registration data system integrations, custom feature development, and HPC integrations.
• Encouraged widespread platform adoption by highlighting direct value to crucial scientific stakeholders; provided recommendations for strategies that maximize platform value via customized workflows, ETL methods, and supervised learning ML/AI strategies.

Market Knowledge & Product Development

• Learned intimately about pharma organizations' digital obstacles and broader industry challenges by frequently engaging via conferences and partner site visits.
• Identified and documented high-impact product features that would further enable or optimize R&D workflows for multiple organizations.
• Continuously monitored the market for additional relevant tools and software that could complement platform functionality or pose competitive risk.
• Authored & reviewed user stories, identified risks & mitigation strategies, assessed impact against technical lift of new feature proposals; presented concepts through presentations, process flow diagrams, and example UX mockups.

Digital R&D Solution Design & Business Analysis

• Contributed to professional service software projects for three of the top 10 pharma companies by revenue.
• Led consultation meetings for clients' stakeholders, organizing progress updates and solution proposals into concise presentations and process diagrams.
• Analyzed clients' IT infrastructure and operational workflows to identify improvement opportunities within their data practices, analytic pipelines, and R&D digital assets.
• Identified clients' scientific, technical, and business requirements, using these to determine strategic software & cloud solutions and R&D optimizations as part of their digital transformation initiative.
• Determined a client-specific software product solution stack and created a comprehensive 100+ page proposal for an enterprise data strategy and implementation plan.

Product Management

• Crafted comprehensive user stories that conveyed the needs of scientific users and addressed gaps in workflows; collaborated closely with product management and engineering teams to develop meaningful features.
• Assisted engineering teams in determining which sprint tasks to prioritize or delay based on client needs and challenges encountered in using the software effectively.

Data Integration & Automation

• Developed a data architecture for seamless integration across endpoint systems and configured synchronous ETL to streamline data entry and processing for chemists.
• Utilized chemical vendor APIs to consolidate building block inventories and automated decomposition of targets into available constituents, creating an algorithm to identify optimal fragment choices based on synthetic pathways, lead times, availability, and price.
• Established a process for real-time data transformation, providing management with a live BI dashboard and regular snapshots of key lab KPIs to guide senior leadership decision-making.

Cheminformatics & Machine Learning

• Used chemistry software and libraries — mainly RDKit, Open Babel, and CACTVS — to extract and store chemical data.
• Proficiently constructed cheminformatic pipelines: physicochemical property calculations, R-group enumeration, reaction enumeration with SMARTS, substructure matching, fingerprinting, atom mapping, and chemical structure visualization.
• Familiar with structural information formats including SMILES, SMARTS, MOL/SDF, CDXML, RXN, XYZ, and PDB.
• Applied regression analysis, classification, ensemble learning, neural networks, and K-means clustering for SAR analysis to predict properties by training ML models with chemical data and experimental results.

Responsibilities

• Supported and conducted high-throughput chemical synthesis production in an automated lab for campaigns consisting of library sizes over 100.
• Developed operational workflows and systems to support greater sample sets of chemical synthesis, allowing these to be processed by the automation platform and proceed to purification, QC analysis, and biological assay experimentation.
• Oversaw and optimized processes to purchase and intake large orders of building blocks and reagents for chemical synthesis; expedited and economized building block purchasing across various vendors using batch query tools.

Responsibilities

• Performed analytical biochemical methods and techniques for profiling changes in clients' proteins and peptides under various stress conditions to determine drug active component stability in various formulation buffers.
• Executed various assays on sample sets, minimizing errors and result alteration due to analyst or instrument fault.
• Assay methods: SE- and IEX-HPLC and UPLC; IsoQuant; SDS-PAGE; CE-SDS; icIEF; freezing point osmometer; UV-VIS spectrometry; subvisible particle analysis by DLS, FlowCAM, MFI, and HIAC.