We are seeking a full-time Application Developer to join a small, fast-moving team in New York. The core of this role is to build alongside the primary architect. You'll ship customer-facing features, harden our data-readiness platform for enterprise deployments, and help turn semantic and FAIR-assessment concepts into working product.
Day in the Life- Build full-stack features across a TypeScript / Express / React / PostgreSQL codebase - from API and data model through to UI
- Develop assessment logic that translates FAIR principles, semantic layers, and ontologies into scoring, validation, and remediation features
- Work with AI-assisted tooling, including Claude Code, as a core part of the development workflow, and help shape how we use it
- Harden the platform for enterprise use - security, audit trails, regulated-industry compliance, and on-premise/private-cloud deployment
- Integrate external systems such as data lakehouses, catalogs, and knowledge-graph stores
- Write clean, tested, maintainable code - strong typing, real test coverage, no stubs or placeholders
- Partner with the founder on roadmap, architecture, and technical trade-offs
What's in it for YouJoin a dynamic team with a Start-Up atmosphere supported by strong roots of 30 years of successful business in Europe. If you are looking for a fast-paced working environment with exciting and innovative mandates around business transformation and if you are enjoying working closely with great colleagues and great clients, then this is a unique opportunity for you.
Career DevelopmentBenefit from joining our fast-growing U.S. team, take over entrepreneurial and leadership responsibilities, and shape the future of Campana & Schott Inc. In addition, take advantage of our generous personal training budget.
Professional & PersonalYou can expect excellent project work and a trusting atmosphere with your colleagues supervisors where you are challenged to contribute to impactful projects across the Project, Program, and Portfolio Management service spectrum of our NY-based team.
Live CollaborationMentoring from senior professionals and engagement in an active exchange of knowledge with over 600 consultants worldwide in forums and special expertise groups.
CompensationThe salary range for this position is $ 84,000 to $ 96,000 per year and total compensation for this role includes base salary, annual discretionary performance bonus, and a comprehensive benefits package described below.
We expect total annualized compensation for New York City-based employees to be approximately the following:
- Base salary between $ 84,000 - $ 96,000 p.a.. Placement within this range will vary based on experience and skill level
- Annual discretionary performance bonus between 0-10%
In addition, we offer a comprehensive benefits package, including:
- 25 days of PTO p.a.
- 10 company paid holidays p.a.
- 5 days of professional development p.a.
- Option for employees to make personal contributions to a 401(k) plan, as well as 401(k) matching offered by Campana & Schott
- Attractive health benefits
- Annual company trip and regular team events
Preferred Qualifications- At least 2 years of application development experience, ideally full-stack
- Anthropic Claude certification at the Architect level
- Working understanding of what a knowledge engineer does, and fluency with semantic layers and ontologies, such as RDF, OWL, taxonomies, and knowledge graphs
- Proficiency across front-end and back-end work in a modern JavaScript/TypeScript stack
- Strong fundamentals in data modeling and relational databases, preferably PostgreSQL
- Comfort working independently in a fast-moving, early-stage environment
Nice to Have- Master's degree in Information Systems, Data Science, or Computer Science
- Experience in life sciences, pharma, or another regulated industry, such as GxP, HIPAA, or 21 CFR Part 11
- Familiarity with FAIR data principles, SHACL validation, or DCAT/data-product modeling
- Hands-on cloud deployment experience with Azure or AWS
- Docker experience
- Experience integrating data platforms such as Databricks, Snowflake, or Stardog
