Manager, AI-Ready Data Modeling

Scorpion Therapeutics; Boston (MA); On-site; USD 116,000 - 182,000; Full time

Benefits offered by this job

Medical/dental/vision benefits

401(k) match

Disability insurance

Life insurance

Tuition reimbursement

Paid vacation/sick time

Holidays

Job summary

Scorpion Therapeutics in Boston is seeking a data modeling expert to design conceptual, logical, and physical models for R&D data assets, translating complex scientific requirements into scalable structures.

You will collaborate with data engineers, architects, and scientists to embed AI/ML workflows, promote data reuse via hubs and APIs, and implement governance, lineage, and quality controls across pipelines.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, Bioinformatics, or related field.
• Experience in data modeling, data architecture, or data engineering.
• Experience with structured data in complex life sciences/R&D environments (preferred).
• R&D domain experience (preferred).
• Conceptual, logical, and physical data modeling; data modeling tools/techniques.
• Data platforms (data lakes, warehouses, APIs), shared data assets, schema design.
• AI/ML or advanced analytics use cases (preferred); ontologies/semantic modeling (nice to have).

Responsibilities

• Design and develop conceptual, logical, and physical data models for R&D data assets.
• Translate business and scientific requirements into structured, scalable data models.
• Support modeling delivery across Research and Clinical domains.
• Apply modeling practices enabling AI/ML and advanced analytics use cases.
• Structure data to improve usability, reusability, and alignment with AI-enabled workflows.
• Develop reusable schemas, templates, and shared data models; apply enterprise standards, ontologies, and naming conventions.
• Promote reuse through data hubs, APIs, and standardized structures.
• Collaborate with domain experts, data engineers/architects, and data scientists to ensure implementable models and integrate them into pipelines/AI workflows.
• Incorporate data quality rules, metadata, and lineage; align with enterprise data governance standards.

Skills

Data modeling

Data architecture

Data engineering

AI/ML analytics

Ontologies/semantic modeling

Education

Bachelor’s or Master’s in Computer Science, Data Science, Bioinformatics, or related field

Tools

Data platforms (data lakes, warehouses, APIs)

Job description

Responsibilities

• Design and develop conceptual, logical, and physical data models for R&D data assets.
• Translate business and scientific requirements into structured, scalable data models.
• Support modeling delivery across Research and Clinical domains.
• Apply modeling practices enabling AI/ML and advanced analytics use cases and consistent downstream data inputs/context.
• Structure data to improve usability, reusability, and alignment with AI-enabled workflows.
• Develop reusable schemas, templates, and shared data models; apply enterprise standards, ontologies, and naming conventions.
• Promote reuse through data hubs, APIs, and standardized structures.
• Collaborate with domain experts, data engineers/architects, and data scientists to ensure implementable models and integrate them into pipelines/AI workflows.
• Incorporate data quality rules, metadata, and lineage; align with enterprise data governance standards.

Qualifications / Skills

• Bachelor’s or Master’s in Computer Science, Data Science, Bioinformatics, or related field.
• Relevant experience in data modeling, data architecture, or data engineering.
• Experience with structured data in complex life sciences/R&D environments (preferred).
• Demonstrated R&D domain experience (preferred).
• Conceptual, logical, and physical data modeling; data modeling tools/techniques.
• Data platforms (data lakes, warehouses, APIs), shared data assets, schema design.
• AI/ML or advanced analytics use cases (preferred); ontologies/semantic modeling (nice to have).

Benefits (as stated)

• U.S. base salary range: $116,000–$182,270.
• Eligibility may include medical/dental/vision, 401(k) match, disability, life insurance, tuition reimbursement, paid vacation/sick time, holidays, and well-being benefits.