pistoia alliance debates: moving research informatics into the cloud: 25th may 2016

May 25, 2016

Moving Research Informatics to the Cloud

A Pistoia Alliance Debates Webinar

Chaired by Brad Michel – Accenture

Poll Question 1: How would you rate your

personal knowledge of the cloud?

A. I’m an expert

B. I use it

C. I’ve heard of it

D. I still use a typewriter

This webinar is being recorded

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Moving Research Informatics to the Cloud 4

The Panel

25 May 2016

Darryl Spencer, VP Technology, ElsevierDarryl Spencer is the VP of Technology for Elsevier Life Science Solutions where he’s been working the past 3 years to improve their pharmaceutical development products and migrate them to the cloud. Darryl has over 18 years experience in software development for the life sciences in both research and regulated environments working for companies such as Danaher, SCIEX and Applied Biosystems. Darryl holds a PhD in Chemistry from MIT and an MBA from the Kellogg School of Management.

Brad Michel, Managing Director Life Sciences, AccentureBrad Michel is a Managing Director in Accenture’s Global Life Sciences Practice, focused in Life Sciences R&D where he has worked for the last 17 years. Brad has a broad background in business advisory and management consulting, IT strategy and solution delivery, and outsourcing operations within Pharmaceutical R&D. As part of Accenture’s Life Sciences leadership team, Brad manages large client account relationships with Top 20 pharmaceutical He is also responsible for overseeing Accenture’s Life Sciences R&D Strategic Growth Initiatives.

Devendra Deshmukh, Executive Director, MRL Global Research IT, MerckDevendra has responsibility for all aspects of IT in support of Merck¹s global research agenda, spanning human genetics and pharmacogenomics, biologics and vaccines discovery, therapeutic area biology, pharmacology and high throughput screening, medicinal and process chemistry, pharmaceutical sciences, laboratory platforms and scientific computing. Prior to joining Merck, Devendra served as VP and GM for PerkinElmer¹s Informatics business unit where he led a 450 person global with responsibility across Product Management, R&D, Professional Services, Customer Service and Operations.

Joe Corkery, Product Management, Cloud Computing, GoogleJoe is the Product Lead for the Healthcare and Life Sciences vertical for Google Cloud Platform. Prior to Google, Joe spent 15 years providing software to the pharmaceutical / biotech industry as a software engineer, product manager, and business leader. He was most recently Senior Vice President, Business Development at OpenEye Scientific Software, Inc. Prior to his time at OpenEye, he was a scientist at Vertex Pharmaceuticals. Joe received his M.D. from Harvard Medical School and his BSE in computer science from Princeton University.

Poll Question 2: How does your company

utilize the cloud for R&D IT today?

A. Actively using multiple applications in

the cloud

B. Experimenting with the cloud

C. Not currently using the cloud

D. I don’t know

Setting the context

Brad Michel - Accenture

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Agenda

25 May 2016

• The context of the challenge• The changing paradigm for data• A migration use case• A platform approach for research informatics

725 May 2016 Moving Research Informatics to the Cloud

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The industry is experiencing a common set of challenges in Research Informatics

25 May 2016

Data Aggregation

Data Quality and Context

Collaboration & Externalization

Data Accessibility

Maintenance Cost and

Complexity

Key Research Informatics Challenges:

Re-application of Scientific Learnings

Complex and Crowded Vendor

Landscape

Pace of Innovation

Key Industry Trends:

Emergence of precompetitive collaboration

Acceptance of platform strategies

Maturity of cloud and analytics solutions

ALSC

How can these industry challenges be solved in a new and different way?

Poll Question 3: What is your organizations

greatest barrier to moving to the cloud?

A. Cloud technology maturity

B. Application technology maturity

C. Data security/privacy

D. Legal issues

E. All of the above

Joe Corkery - Google

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N=1

N=millions

Source: https://www.genome.gov/sequencingcosts/

https://www.genome.gov/sequencingcosts/

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Source: http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002195

http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002195

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Traditional Way: Bring data to the researchers

ProblemsData sharing = data copyingRequires big infrastructure

Largely fixed computeIndividual security implementations

Cloud Way: Bring researchers to the data

SolutionsTrue data sharing

Elastic compute and storageCentralized security implementation

Programming

Resource provisioning

Performance tuning

Monitoring

Reliability

Deployment & configuration

Handling growing

scaleUtilization

improvements

Typical Big Data Jobs

Big Data with GoogleFocus on insights.Not infrastructure.

Programming

Understanding

At Google, security is a feature● Two-factor authentication● Data loss prevention● 500+ security experts● Elliptic curve cryptography● Encryption by default● Multi-layered physical security● First to start reward program● Purpose-built from chips to datacenters● End-to-end chain of custody

Poll Question 4: What cloud vendors

is your organization using?

A. Amazon Web Services

B. Google Cloud Platform

C. Microsoft Azure

D. Multiple/other

E. None/don’t know

An Elsevier Cloud Migration Story

Darryl Spencer - Elsevier

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Moving Apps to AWS’s IaaS Gave Us

• Speed– Infrastructure changes now take hours rather than

weeks thus slashing the time it takes to innovate, experiment and test.

• Price/Performance Optimization– Rapid change cycles with performance metrics

means quick optimization.– Rent short term for short term needs.

• Scale– Neither capitol expenditures nor long lead times

needed to expand capacity for new customers or projects.

• Robustness– The above makes it easier and more affordable to

deploy fault tolerant, highly available solutions.


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Plan and Manage the Learning Curve

• Don’t move everything at once.

• Build dev and ops teams’ experience through increasingly difficult projects.

• Standardize cloud tools & procedures

• Automate everything! (e.g. deployment, monitoring, alerts).

• Prepare to redesign to take full advantage of cloud.

• Take opportunity to standardize and reuse services across apps (e.g. authentication).

Train Staff

1st Project: Simple Migration

2nd Project: Medium Complexity, Some Redesign

3rd Project: Higher Complexity and Redesign


A Platform Approach enabled by the Cloud

Brad Michel - Accenture Devendra Deshmukh - Merck

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Taking a Platform Based Approach

25 May 2016

Partner logo if required

• Modern data aggregation and analytics layer

• Simplified application architecture

• “Appification” of the Research Landscape

• Cohesive user experience (UX/UCD)

• Integrated workflow and data flow

• Cloud-based infrastructure

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Getting there over a multi-year roadmap

25 May 2016


Establish foundation

Transform informatics landscape

Simplify Research process

Evolve landscape (steady state)

Year 1

Years 2-3

Years 4-5

Years 5+

Audience Q&APlease use the Chat or Question function in GoToMeeting

The PhUSE framework for the adoption of cloud technology in the regulated life sciences industry

The next Pistoia Alliance Debate Webinar:

Moderator: Tony Hewer Senior Quality & Regulatory Affairs Director at Medidata Solutions

Date: To be announced check http://www.pistoiaalliance.org/events/ for the latest information

http://www.pistoiaalliance.org/events/

[email protected] @pistoiaalliance www.pistoiaalliance.org