- 7+ years of solving problems with technology in the Healthcare/Life Sciences Industry experience
- 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Bachelor's degree or equivalent
- 7+ years of working with Data & AI related technologies in Life Sciences R&D and Clinical Development contexts — including knowledge graphs, ontologies, data lakes, AI/ML, GenAI, and/or semantic data integration
- 7+ years of experience driving professional services business development, opportunity shaping, or technical pre-sales for R&D and/or clinical data platforms, AI/ML, or digital transformation programs in pharma/biotech
- Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or experience with AWS Solutions, including EC2, S3, Redshift, EMR (or Hadoop)
- Significant experience in shaping large, complex AI and data transformation programs in pharma/biotech Research & Clinical Development — from ideation and prospecting, through scoping and solution architecture development, to sales closure — with specific exposure to use cases such as target identification, biological foundation models, real-world evidence, or research data harmonization
- Deep understanding of AWS services relevant to R&D workloads — e.g., Bedrock, AgentCore, SageMaker, Neptune, Amazon BioDiscovery
- Deep knowledge and familiarity with regulatory and compliance frameworks relevant to R&D data (e.g., GxP, 21 CFR Part 11, HIPAA, GDPR) as well as data types and standards (e.g., FHIR)
- Excellent communication skills, with the ability to translate complex R&D data architecture concepts for both scientific leaders and C-suite executives as part of pre-sales motion
- Deep familiarity with R&D technology ecosystems and vendors (e.g. Benchling, Palantir Foundry, Veeva Vault, Databricks for Life Sciences) and how AWS complements or displaces them
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Diego – 182,800.00 - 247,300.00 USD annually
USA, CA, San Francisco – 210,200.00 - 284,300.00 USD annually
USA, MA, Boston – 182,800.00 - 247,300.00 USD annually
USA, NJ, Jersey City – 201,000.00 - 272,000.00 USD annually
USA, NY, New York – 201,000.00 - 272,000.00 USD annually
USA, TX, Austin – 182,800.00 - 247,300.00 USD annually
USA, VA, Arlington – 182,800.00 - 247,300.00 USD annually
USA, WA, Seattle – 182,800.00 - 247,300.00 USD annually