Job Description

Locations

• Boston, Massachusetts, United States
• Jersey City, New Jersey, United States
• Austin, Texas, United States
• Seattle, Washington, United States
• Arlington, Virginia, United States
• New York, New York, United States
• San Francisco, California, United States
• San Diego, California, United States

Salary

Skills Required

• AWS Solutionsintermediate
• shaping largeintermediate
• regulatoryintermediate
• R&D technology ecosystemsintermediate

Required Qualifications

• 7+ years of solving problems with technology in the Healthcare/Life Sciences Industry experience (experience, 7 years)
• 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience (experience, 7 years)
• Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Bachelor's degree (degree in computer science)
• 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 (experience, 7 years)
• 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 (experience, 7 years)

Preferred Qualifications

• 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) (experience)
• 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 (experience)
• Deep understanding of AWS services relevant to R&D workloads — e.g., Bedrock, AgentCore, SageMaker, Neptune, Amazon BioDiscovery (experience)
• 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) (experience)
• 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 (experience)
• 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 (experience)
• 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. (experience)
• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)

Responsibilities

• Serving as the practice's dedicated specialist and deep domain expert in R&D — including Amazon BioDiscovery and AI-native research — designing and delivering solution architectures that solve complex customer problems across both domains
• Developing innovative GTM strategies, offerings, and accelerators for the data and context layer space spanning research and clinical — identifying whitespace, shaping new service offerings, and positioning the practice to capture emerging demand across the R&D-to-clinical continuum
• Counseling HCLS executive customers to explore the art of the possible with AI-driven transformation across Research and Clinical Development, pushing the frontiers of innovation to achieve breakthrough outcomes from discovery through late-stage trials
• Collaborating with internal teams to innovate AWS solutions, services, accelerators, and demos that address evolving research and clinical data-readiness customer needs
• Designing complex, scalable, and secure data foundation, ontology-orchestration, and Agentic AI architectures on AWS to achieve customer business outcomes (CBOs) across Research and Clinical Development
• Driving large, complex opportunities — spanning research, clinical, or both — from ideation, through vision building and scoping, solution architecture development, all the way to sales closure — owning technical qualification, de-risking delivery, and participating in the Sales-to-Delivery (S2D) motion
• Acting as a trusted advisor and thought leader to customers and internal colleagues on industry trends in R&D and clinical AI, data and context architectures, knowledge representation, and emerging technologies across the Life Sciences landscape
• Leading senior engagement on the practice's highest-potential opportunities — including AI-native drug discovery programs, clinical data platform modernization, data foundation builds, and enterprise ontology-orchestration initiatives — across a portfolio of strategic Life Sciences accounts

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