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Experienced Artificial Intelligence, Analytics and Data Science leader in research, clinical, healthcare and tech contributing to new medicines, improved outcomes, enterprise systems and significant revenue. Deep experience at Genentech, Amazon, Kaiser, AstraZeneca and successful startups across strategy, people management, innovation, operations and technical delivery. Highly skilled harnessing data to create insights, actions and improved outcomes with AI/ML, data science, analytics, mobile apps, data governance and data-driven culture. Seeking a role to partner, drive strategies, build innovative systems, deliver insights and business growth by bringing medicines and better outcomes to patients.• Manage up to twenty two people in artificial intelligence, data science, analytics and data engineering.• Negotiate investments, partnerships, licensing and manage delivery both internally and externally.• Create data and AI strategy and manage teams at Genentech: align with stakeholders, build teams, integrate data, 400+ ML models, advanced analytics, an AI Copilot, and a measured value of >$50M.• Deep experience in all stages of drug discovery and development - leading to Zelboraf, Viracept and seven clinical candidates - developing and applying methods actively used in teams to advance programs.• Develop strategy for clinical trials: combining data, AI/ML and partnering to give competitive advantages.• Develop and run Kaiser’s enterprise Patient 360 system and National Claims Analytics platform.• Develop software, analytics, ML models and simulation systems for real-time data center operations.• Manage Amazon search analytics, worldwide search data quality and data governance at scale.
Applied Intelligence
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Head Of Data And AiApplied Intelligence Jan 2024 - Present• Consulting in data and AI for a startup clinical stage biotechnology company.• Areas include applying data and AI for cohort identification, inclusion / exclusion criteria, operations, analyses leveraging biomarkers, EHR, omics data, images, RWD, and evaluating external partners.
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Director Of Artificial Intelligence And Data ScienceGenentech Dec 2021 - Dec 2023South San Francisco, California, Us• Promoted to lead the data and AI strategy and delivery across people, process, data and technology.• LT member, build the steering group, matrixed data product portfolio, and cross-functional partnerships.• Align the strategy, roadmap and budget - deliver the data product ecosystem across functions.• Recruit and manage seven data scientists, data engineers and analysts in local and global initiatives.• Deliver the dashboard suite, 400+ ML models, AI Copilot, data lake, partnered simulation platform.• Deliver >$50M annual savings via actionable insights (dashboards & models) in cross-functional teams.• Deliver the first AI / NLP copilot: >90% accuracy and >50% FTE efficiency gain annually.• Implement the first systematic, multi-tier data quality governance, measurement, transparency.• Develop and implement education, classes and tools supporting people using data, analytics and AI.• Build a community of practice of 150+ members to present, share innovations and promote collaboration. -
Director, Artificial Intelligence StrategyGenentech Jun 2020 - Dec 2021South San Francisco, California, Us• Create the AI strategy, roadmap and budget, build consensus and show proof of value.• Deliver >$15M commercial savings annually from predictive models used in cross disciplinary teams.• Build the Genentech AWS data lake and data science environment, and align with global Roche.
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Us West Lead, Artificial Intelligence And Data Science, Healthcare And Life SciencesAccenture Sep 2016 - Mar 2020Dublin 2, Ie• Communicate vision and value with C-level Kaiser leaders on future opportunities aligned with strategy.• Build and run the National Claims Analytics platform at Kaiser; used in daily operations. Managing twenty two people in three departments - delivering actionable insights from 78 metrics and 12 dashboards.• Build the Patient 360 system at Kaiser – digital health insights for payers, providers and patients. This system combines all available data and allows insights to improve decision making, outcomes and costs.• Kaiser committed the budget for the Patient 360 system after the claims analytics platform was delivered.• Lead AI, data science and analytics initiatives for pharmaceutical companies including Genentech.• Establish governance models around data and digital health insights at Kaiser and Genentech. -
Expert In Residence, Artificial Intelligence (Ai Incubator)Bootstraplabs Feb 2015 - Sep 2016San Francisco, Us• Consulting head of Data Science at Opswat and portfolio companies. -
Director Of Applied Intelligence SoftwareIo Sep 2013 - Feb 2015Phoenix, Az, Us• Led data, analytics, ML and data science to run data centers worldwide at scale. • Recruited and managed data engineers, data scientists and simulation experts in a matrixed environment.• Delivered simulations, ML models, analyses, an analytics portal, reports, metrics, and AWS data lake. • Partnered with McLaren Applied Technologies (UK) to develop 3D data center simulations. -
Search Analytics Program Manager & Senior Data ScientistAmazon Oct 2011 - Sep 2013Seattle, Wa, Us• Ran search analytics globally for all operations across the lifecycle: all products, customers, countries, businesses and platforms – every interaction of every customer with every Amazon offering worldwide.• Delivered actionable insights to run the company (by country, platform, business, customer, and product). • Real time actionable intelligence included: live personalized customer recommendations for products “you might also like”, dashboards to run business areas like Prime Video and Kindle, metrics to measure user behavior and search quality worldwide, and predicting AWS needs for events like Black Friday.• Wrote a weekly one-page report for the CEO, LT and +1’s on the data driven insight of the week - such as identifying when usage on the mobile app showed “hockey stick” growth to become the dominant platform.• Delivered ad hoc insights for strategic questions - like why and how are Prime members more valuable.• Ran data governance and operations across a billion points of data a day for deployments, workflows, data quality, metrics, ML, continuous improvement, features, A|B testing, and business alignment.• Manage software engineering for search analytics development and deployment across dev, test, prod.• Ran search data quality worldwide including measurement, metrics, detection, alerts, and repair.• Member of the search relevance team deploying features and ML models in A|B testing / production. -
Founder & Head Of Data And AiSerious Solutions Llc May 2008 - Oct 2011• Consulting while caring for a family member.• Generated millions of dollars of revenue in several portfolios and startups – retained over several years.• Performed modeling with teams in drug discovery projects at HI, LI and LO stages to attain milestones - spanning CROs, protein structure analysis, SAR, fragment-screening, combinatorial library design, similarity search for hit follow up, pharmacophores, constrained docking, and ADMET Lead Optimization.• Negotiated and implemented informatics (chemical and screening databases) for several companies. -
Senior Scientist, Computational Chemistry And InformaticsAstrazeneca 2006 - 2008Cambridge, Cambridgeshire, Gb• Promoted in 2006 for advancing projects and developing modeling methods used company-wide.• Co-inventor of four clinical compounds and six patents.• Lead modeler on the must-win projects.• Member of the lead generation project planning and prioritization group - setting computational chemistry strategies for new targets and programs based on target biology, chemistry, SAR and computation.• Developed and applied predictive modeling in cross-disciplinary drug discovery teams spanning target evaluation, project planning, screening, hit to lead, lead optimization, and clinical trial backups - assessing project and team needs, chemical series and data to apply well-chosen computation to advance programs. • Created Lead Optimization (ADMET) multi-dimensional molecular design and optimization techniques that gave the company a strategic advantage in LO, and were applied to discover four clinical compounds.• Helped set project team culture of inclusion, teamwork and data / hypothesis driven design. -
Scientist, Computational Chemistry And InformaticsAstrazeneca 2003 - 2006Cambridge, Cambridgeshire, Gb• Developed and applied predictive modeling in cross-disciplinary drug discovery teams spanning target evaluation, project planning, screening, hit to lead, lead optimization, and clinical trial backups - assessing project and team needs, chemical series and data to apply well-chosen computation to advance programs.• Helped set project team culture of inclusion, teamwork and data / hypothesis driven design.• Developed a globally used consensus 2D / fingerprint search method, validated on 500+ benchmark target classes - delivered > 50% reduction in false positives and millions of dollars of cost savings annually.• Developed, validated and applied ligand-based and structure-based models with commercial and in-house software, including active site and induced fit analysis, scaffold and combinatorial library design.
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Director Of Computational ChemistryPlexxikon, Acquired By Daiichi Sankyo 2001 - 2003South San Francisco, California, Us• Eighth employee, created the strategy, plan, budget and negotiated licenses for Computational Chemistry.• Recruited and led four PhD computational scientists. Led a twelve-person Kinase project.• Identified the scaffold of Zelboraf, a targeted Melanoma compound licensed by Roche.• Designed the scaffold of a Phase 2 Diabetes compound partnered with Wyeth (value 403 M).• Developed and applied novel computational scaffold hopping and library design methods.• Created the scaffold/fragment screening library - developed the algorithms and identified the compounds.• Performed Computational Chemistry and Biology modeling on the fragment-based discovery projects - similarity searches, active site analysis, induced fit (molecular dynamics), docking, pharmacophores, etc.• Negotiated, licensed, implemented and ran the MDL informatics platform for chemical structures. -
Director Of Computational ChemistryProspect Genomics, Acquired By Sgx Then Eli Lilly 2000 - 2001• First employee when we were a UCSF startup working in a garage.• Recruited and led three PhD computational scientists and one software engineer.• Developed the computational proteomics pipeline to identify functional sites on target proteins - homology models, active site analysis, scaffold and library design, constrained docking, and molecular dynamics.• Identified functional / ligandable sites on targets, and molecular dynamics to help understand induced fit.• Negotiated a 10 Million Dollar venture investment, and handled the term sheets at acquisition (Aug 2021).• Planned, budgeted, negotiated, licensed, deployed, and implemented the computational infrastructure.
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Post-Doctoral ResearchUcsf University Of California, San Francisco 1998 - 2000San Francisco, California, Us• Developed SitePrint for computational protein active site analysis, clustering and classification.• Developed a proteomics to small molecule pipeline – sequence to structure to docked scaffolds/libraries.• Developed novel scaffold hopping and scaffold design tools. • Co-developed and taught Bioinformatics.• Designed and patented Nuclear Receptor helix-mimic scaffolds and libraries with Karo Bio.
James Arnold Skills
James Arnold Education Details
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University Of California, San FranciscoComputational Biology -
University Of California, Santa CruzW. Todd Wipke Advisor
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University Of ArizonaDaniel P. Dolata Advisor
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Stuyvesant High School
Frequently Asked Questions about James Arnold
What company does James Arnold work for?
James Arnold works for Applied Intelligence
What is James Arnold's role at the current company?
James Arnold's current role is Head of Data and AI.
What is James Arnold's email address?
James Arnold's email address is ja****@****ure.com
What is James Arnold's direct phone number?
James Arnold's direct phone number is +141521*****
What schools did James Arnold attend?
James Arnold attended University Of California, San Francisco, University Of California, Santa Cruz, University Of Arizona, Stuyvesant High School.
What are some of James Arnold's interests?
James Arnold has interest in Children, Education, Health.
What skills is James Arnold known for?
James Arnold has skills like Data Mining, Analytics, Strategy, Software Development, Project Management, Big Data, Start Ups, Management, Bioinformatics, Analysis, Business Intelligence, Machine Learning.
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