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AI Application Development Engineer

  • Source: LinkedIn
  • Pharmaceutical Company
  • Remote
  • United States
  • Mid level

Job Description

AI Application Development Engineer

Location: Remote, USA

Contract Duration: 12 Months

Work Schedule: 40 hours per week

Work Arrangement: Fully Remote

Job Summary

We are seeking an experienced AI Application Development Engineer to develop, automate, and productionize AI-enabled solutions supporting clinical data, biomarker workflows, and translational medicine. The ideal candidate will have advanced R programming skills, strong software development experience, and hands-on expertise building reliable, reproducible workflows in a regulated life sciences or healthcare environment.

This role will collaborate closely with Digital, Data Management, and Translational Medicine teams to develop scalable applications, automate quality control processes, and deliver practical AI solutions aligned with business and scientific priorities.

Key Responsibilities

  • Develop, automate, test, and productionize AI-enabled applications and data workflows.
  • Build and maintain automated quality control (QC) processes for clinical, biomarker, and related scientific datasets.
  • Develop reproducible, maintainable, and production-ready software solutions using R and, preferably, Python.
  • Translate scientific and business requirements into scalable applications, automated workflows, and data processing solutions.
  • Troubleshoot application and workflow issues, identify root causes, and implement reliable solutions.
  • Collaborate with cross-functional teams to prioritize development activities and align technical solutions with project objectives.
  • Evaluate practical AI capabilities and integrate suitable approaches into existing workflows.
  • Support the transition of AI proofs of concept into production-ready applications.
  • Apply software development best practices, including testing, version control, documentation, and workflow reproducibility.
  • Contribute to the reliability, scalability, and continuous improvement of clinical data and biomarker-related applications.

Required Qualifications

  • Strong, advanced programming skills in R , including the ability to develop and maintain complex analytical or application workflows.
  • Demonstrated software development experience, including writing, debugging, testing, and maintaining code.
  • Experience developing automated workflows and reproducible, production-ready solutions.
  • Hands-on experience with AI-enabled applications, machine learning, or practical AI implementation projects.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work effectively with cross-functional technical and scientific teams.
  • Strong communication and collaboration skills.

Preferred Qualifications

  • Experience working with clinical data, biomarker datasets, clinical research, or translational medicine.
  • Experience in the pharmaceutical, biotechnology, healthcare, or life sciences industry.
  • Proficiency in Python in addition to R.
  • Experience taking AI or machine learning proof-of-concept solutions into production.
  • Familiarity with Databricks, AWS, Apache Airflow, Nextflow, or similar data processing and workflow orchestration technologies.
  • Experience with automated data quality checks, validation frameworks, and reproducible data pipelines.
  • Familiarity with regulated data environments and quality or compliance requirements.

Work Environment

  • Fully remote position within the United States.
  • 40 hours per week, with no regular overtime expected.
  • Core collaboration hours are approximately 9:00 AM to 5:00 PM Pacific Time.
  • Candidates located on the West Coast or near a company site may be preferred for potential future conversion, although candidates on the East Coast are also welcome to apply.

Ideal Candidate Profile

The ideal candidate is a hands-on software and AI application developer who combines advanced R programming with practical AI implementation, workflow automation, and production engineering experience. Candidates with clinical data, biomarker, or pharmaceutical industry experience will be especially well suited to this opportunity.

Skills

  • Python
  • azure-databricks
  • databricks
  • amazon-web-services
  • Airflow
  • apache-airflow

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