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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI algorithms and workflows for clinical applications, with a strong focus on Python programming, deep learning, and natural language processing. Proven ability to lead technical decisions, mentor teams, and collaborate effectively in cross-functional environments.
Highest-signal resume keywords
Algorithm Development Using PythonNatural Language Processing (NLP)Deep Learning Model DeploymentLeadership and MentorshipExperience in Medical Domain
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Algorithm DevelopmentDeep LearningNLPPrompt EngineeringMedical Data AnalysisSoftware Engineering PrinciplesClean Coding PracticesAI Algorithm DeploymentData-Driven SolutionsAgentic Workflows
Soft Skills
Interpersonal SkillsLeadership SkillsCollaboration
Tools & Technologies
PythonPydanticHugging Face TransformersSpaCyAmazon BedrockAWSDockerTensorFlowKerasPyTorch
Certifications & Qualifications
M.Sc. in Computer Science or Related Discipline
Industry Keywords
Clinical SettingsAI AlgorithmsGenAILarge Language Models (LLMs)Medical Domain
Tech Stack
Tools & technologiesAWSDockerKerasPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows and infrastructure for clinical settings
- Prepare, process, and analyze complex medical data for algorithm development and validation
- Ensure algorithm reliability, performance, and accuracy in production through troubleshooting, testing, monitoring, and continuous improvement
- Collaborate with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions
- Research, develop, and integrate Large Language Models to extract insights from medical texts
- Develop intelligent agents for optimized clinical decision support
- Lead development and drive technical decisions affecting the technical domain and related organizational systems
- Mentor and develop algorithm developers through technical guidance and design reviews
- Stay current with advancements in GenAI, LLMs, and Deep Learning
- Organize and participate in seminars, book clubs, and conferences
Requirements
What you’ll need- Minimum of 10 years of hands-on experience in algorithm development using Python
- 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
- Experience developing and deploying deep learning models (CNNs, ViTs, VLMs) for medical data classification, segmentation, and object detection
- Strong interpersonal and leadership skills
- Ability to work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers
- Experience with AWS preferred
- Experience in the medical domain preferred
- M.Sc. or higher in Computer Science or a related scientific discipline preferred
- Python
- Pydantic
- Hugging Face Transformers
- spaCy
- Amazon Bedrock
- AWS
- Docker
- TensorFlow
- Keras
- PyTorch
Benefits
Comp & perks- Competitive cash compensation
- Equity
- Dental insurance
- Performance-based bonuses
- Cibus meal allowance
- Meals at the office
- Comprehensive benefits package
- Mission-driven work making a difference in people’s lives
- Amazing team environment
- Flexible hybrid model
- Curiosity, innovation, and team collaboration
