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Forward Deployed Engineer; FDE Data

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Novartis Group Companies
Part Time position
Listed on 2026-07-09
Job specializations:
  • Software Development
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 160300 - 297700 USD Yearly USD 160300.00 297700.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Engineer (FDE) Data42

Job Description Summary

Location:

Cambridge, USA; #LI-Hybrid 3 days/week in office.

Internal job title:
Forward Deployed Engineer (FDE) Data
42.

About the Role

The Forward Deployed Engineer (FDE) at Data
42 is an embedded technical delivery leader who partners directly with domain teams to turn high‑value problems into working data and AI applications. You will rapidly prototype, iterate, and product ionize solutions on Palantir Foundry, bridging users, product, and platform engineering to deliver measurable outcomes. This role blends software engineering, data engineering, and product-oriented problem solving, with a strong emphasis on user workflow adoption and operational durability.

Key Responsibilities
  • Embedded delivery and problem solving: Embed with domain teams to understand workflows, define success criteria, and translate needs into shipped capabilities; lead discovery, solution framing, and iterative delivery from prototype to production.
  • Build on Palantir Foundry: Design and implement end‑to‑end solutions in Foundry, including data pipelines, transformations, ontology alignment, and application workflows; configure and optimize Foundry‑based applications to support operational decision‑making and repeatable analytics; apply Foundry‑native patterns for permissions, auditability, performance, and release management.
  • Data engineering and modeling: Ingest, transform, and model diverse datasets to make them usable and trustworthy for analytics and applications; define data quality checks and ensure datasets are fit for intended use (document assumptions and limitations).
  • Application development and integration: Build user‑facing applications or workflow experiences and integrate with upstream and downstream systems as needed; support deployment, monitoring, and ongoing improvement of production applications.
  • Cross‑functional leadership: Partner closely with product managers, data scientists, data engineers, governance, and platform teams to align scope, timelines, and standards; communicate trade‑offs clearly and unblock delivery through technical and stakeholder influence.
  • Enablement and reuse: Create reusable templates, components, and patterns to accelerate future deliveries across Data
    42; mentor teammates and contribute to internal documentation, playbooks, and delivery standards.
Essential Requirements
  • Bachelor’s degree in Biology, Bioengineering, Bioinformatics, Biostatistics or related discipline.
  • 8+ years of experience working in biomedical research, bioengineering, bioinformatics or related domain.
  • Hands‑on experience with Palantir Foundry building and operationalizing solutions (pipelines, ontology, applications, and access controls), with a Foundry‑first engineering and delivery mindset.
  • Solid experience in partnering with stakeholders to understand challenges and define effective solutions, developing and delivering Proof of Concepts to validate ideas and demonstrate business value.
  • Demonstrated experience delivering software, data, or analytics products in a fast‑paced, user‑facing environment, with expertise in rapid prototyping to production execution.
  • Strong programming skills and comfort working across data and application layers.
  • Strong user empathy and workflow orientation, with proven ability to work directly with end users, clarify ambiguous requirements and deliver iteratively.
  • Excellent communication skills and stakeholder management skills, with strong reliability and operational discipline.
Desirable Requirements
  • Experience delivering solutions in regulated or sensitive‑data environments, with strong attention to access control and audit needs.
  • Familiarity with product discovery methods (problem framing, value definition, iterative MVP delivery).
  • Experience with analytics, AI, or machine learning enablement within production applications.
Salary Range

$ - $ per year.

Benefits Summary

Position includes performance‑based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US‑based eligible employees receive a comprehensive benefits package that includes health, life, and disability benefits, a 401(k) with company contribution and…

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