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AI Solutions Engineer, Translational Medicine

Spectraforce Technologies
United States, North Carolina, Raleigh
500 West Peace Street (Show on map)
Oct 23, 2026
Title: AI Solutions Engineer, Translational Medicine

Location: Remote

Duration: 12 months

Location & Schedule

Fully remote; preference for candidates on the West Coast due to potential future conversion opportunities.

Flexible schedule with core collaboration hours generally around 9:00 AM-5:00 PM PT.

East Coast candidates are acceptable.

Team & Environment

  • Newly formed 6-person team focused on AI strategy, AI integration, biomarkers, clinical data, and translational medicine initiatives.
  • Collaborative environment with frequent interaction across Digital, Data Management, and Translational Medicine teams.
  • Role is primarily independent work with weekly team meetings and regular Teams collaboration.



Key Responsibilities

  • Develop, automate, and productionize AI-enabled solutions.
  • Support automated QC initiatives through coding and workflow development.
  • Troubleshoot, collaborate, and align with team priorities.
  • Minimal presentation responsibilities; mainly status updates during team meetings.



Must-Have Skills

  • Strong software development background.
  • Advanced R programming experience required.
  • Python experience preferred.
  • Experience with automation, reproducible workflows, and production-ready solutions.
  • AI project experience with the ability to discuss practical AI applications.



Preferred Background

  • Clinical data and biomarker data experience highly preferred.
  • Pharma, biotech, life sciences, or related industry experience strongly desired.
  • Experience taking AI projects from prototype/POC to production is a major plus.



Preferred Technologies

  • Databricks, AWS, Airflow, Nextflow, or similar workflow/orchestration tools.
  • Specific platform experience is less important than understanding workflow management concepts and development best practices.



Ideal Candidate

  • Developer-first profile with strong coding skills.
  • AI application development experience.
  • Clinical/pharma domain knowledge.
  • Comfortable building scalable, automated solutions.



Interview Process

  • Likely 2-3 interviews (30 minutes each).
  • Behavioral and experience-focused interviews.
  • No formal coding assessment planned.



Priority is finding a candidate who combines strong R/Python development skills with AI and clinical/life sciences experience.
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