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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing AI algorithms, particularly in clinical settings, with a strong focus on NLP, LLMs, and data-driven solutions. Proven ability to collaborate with cross-functional teams to translate complex clinical needs into effective algorithmic workflows.
Highest-signal resume keywords
Algorithm Development Using PythonNatural Language Processing (NLP)Large Language Models (LLMs)Agentic WorkflowsSoftware Engineering Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Algorithm DevelopmentData AnalysisTroubleshootingTestingContinuous Improvement
Soft Skills
Interpersonal SkillsCommunication SkillsTeam Collaboration
Tools & Technologies
GenAIDeep LearningText-Based Algorithms
Industry Keywords
Clinical Decision SupportMedical Data ProcessingProduction Environments
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows tailored to real-world challenges in clinical settings
- Prepare, process, and analyze complex medical data to support algorithm development and validation
- Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement
- Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions
- Research, develop and integrate cutting-edge text-based algorithms on medical text
- Apply NLP and Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support
- Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning
- Organize and actively participate in seminars, book clubs, and conferences
Requirements
What you’ll need- Minimum of 5 years of hands-on experience in algorithm development using Python
- A strong foundation in software engineering principles and clean, efficient coding practices
- Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows
- Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments
- Strong interpersonal and communication skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers.
Benefits
Comp & perks- Dental insurance
- Performance-based bonuses
- Cibus meal allowance
- Meals at the office
- Medical insurance
- 401(k)
- Generous vacation
