Principal Scientist, Data Science (Data Products,...
Role details
Job location
Tech stack
Job description
The Principal Scientific Data Scientist will lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
This individual will be responsible for creating scalable, interoperable, and AI-ready data products that connect discovery, preclinical, clinical, safety, and real-world evidence domains, and enable the creation of validated-biomarker data assets . The role will establish the data architecture, integration strategy, metadata framework, and productization approach needed to support semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI applications.
Working closely with scientific stakeholders, knowledge architects, AI engineers, and Amazon BioDiscovery platform teams, this individual will define the future-state scientific data ecosystem and ensure high-quality data products are delivered to support translational science and patient safety initiatives.
Build AI reasoning models to support data-driven translational safety decision making.
Mission
Build and operationalize AI-ready scientific data products that enable seamless integration, harmonization, and reuse of data across the drug discovery and development lifecycle., Scientific Data Product Strategy, + Define the implementation strategy for scientific data products deployed on AWS
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Partner with Amazon engineering and deployed platform resources to deliver scalable data pipelines and data products.
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Provide technical leadership and architectural oversight for implementation activities aligned recommendations from the Data Strategy group.
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Ensure digital solutions align with enterprise architecture, security, governance, and AI-readiness requirements.
Data Product Development
- In collaboration with Data Strategy group, lead design and implementation of
Requirements
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Master's or PhD in:
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Computer Science
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Data Engineering
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Bioinformatics
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Biomedical Informatics
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Information Systems
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Computational Biology
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Related scientific discipline
Experience
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5+ years of experience in scientific data engineering, data architecture, data products, or life sciences informatics.
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Demonstrated experience designing and delivering enterprise-scale scientific data products.
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Experience supporting drug discovery, development, clinical research, or pharmacovigilance organizations.
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Experience developing predictive models in drug discovery, development, clinical research, or pharmacovigilance organizations.
Technical Expertise
Strong expertise in:
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Data architecture
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Data modeling
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Data product design
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Cloud-native data platforms
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Metadata management
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Data governance
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Predictive model development
Experience with:
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AWS-based data platforms
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Data lakes and lakehouses
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Distributed data processing
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APIs and data services
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Data cataloging and lineage solutions
Scientific Data Standards
Strong familiarity with:
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SEND
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SDTM
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ADaM
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MedDRA
Preferred familiarity with:
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FHIR
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OMOP
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DICOM
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Biomarker and omics data standards
Preferred Qualifications
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Experience supporting knowledge graphs, semantic architectures, or GraphRAG initiatives.
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Experience building AI-ready data products and feature stores.
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Familiarity with ontology-driven data integration approaches.
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Experience partnering with cloud providers or external platform teams.
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Experience operating in highly regulated scientific environments.
Leadership Competencies
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Strategic thinker capable of defining long-term data product roadmaps.
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Strong communicator who can bridge scientific and technical communities.
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Ability to influence cross-functional teams without direct authority.
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Strong execution focus with a bias toward scalable, reusable solutions.
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Passion for transforming biomedical R&D through data, AI, and modern engineering practices.
Benefits & conditions
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis
The anticipated base pay range for this position is :
$117,000.00 - $201,250.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year