• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 9th Dec 2023

Preferred Qualifications:

·        Experience working in pharmaceutical, healthcare and biotech industry

·        Strong knowledge of AWS S3, Amazon Redshift, Databricks, Snowflake, Amazon SageMaker, Microstrategy, Mulesoft, PowerBI and Snaplogic.

 

Team:

•             BA

•             Solutions Engineer

•             Agile/ Waterfall

 

Notes:

•             System that has already been stood up but is constantly being changed (look at changes from architectural perspective, keeping blueprint, EA (Enterprise Architecture))

o             Changes based on requirements from business, things to scale out platform

o             Look to see what doesn’t belong on platform

•             Things to create from scratch (different use cases across AI)

•             Custom Solution built on AWS

•             Business side built out existing system

 

Looking For:

•             8-10+ total years of experience

•             AWS Solutions Architecture (2 Years)

•             Data Science background

•             Big Pharma or Healthcare (including agencies)

•             Tools: Lambda, S3 Glacier, Amazon Comprehend, Textract 

Other tools: API gateway, cloudfront, jenkins, amazon comprehend, AC medical, secrets manager, parameter store, node js, amplify, ecr, ec

 

Soft skills:

• Very important since they are working directly with the business
• Good comms, written and spoken. 

 

Nice to Have

•             Enterprise level companies

 

Day to Day:

•             Work with Oncology business unit that built out AI platform

•             40/60 - business/ solutions architecture

•             All on AWS

•             Be aligned to the oncology business unit to help architect the system moving forward

•             Apply governance checks and Security

•             Makes sure they are using AZ strategic platforms

•             Reusing AZ strategic platforms

•             AWS, integrations to other AZ systems and will continue to build

•             Orchestrated Customer Engagement (OCE) CRM - Specific to oncology

 

AI Platform:

•             AWS Stack

•             Integrations to omnichannel system

•             Imbedded with Veeva CRM  and Orchestrated Customer Engagement (OCE) CRM - Specific to oncology