Principal Scientist, Applied AI, Immune Pathway Discovery

Jobtailor; California (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor seeks a senior AI/ML researcher to independently build and execute technical plans for AI prototypes across scientific use cases, and to design, develop, and evaluate AI solutions including agentic workflows and retrieval-augmented applications.

You will partner with scientists and end users, translate complex needs into testable hypotheses, and collaborate with enterprise AI, data science, engineering, platform, architecture, security and governance teams to move prototypes toward

Qualifications

• PhD in a field relevant to AI and computational science is required.
• 4+ years of industry or applied research experience solving complex problems with computational methods.
• Proven ability to build working AI/ML solutions, prototypes, or research software in R or Python.
• Experience with generative AI, LLMs, retrieval-augmented generation, or related technologies.
• Experience integrating data sources, scientific tools, models, APIs, MCPs, while maintaining governance, security, privacy, IP requirements.
• Strong communication and collaboration across scientific and technical disciplines.
• Exceptional scientific rigor and attention to detail.
• Ability to independently formulate technical plans and deliver usable outcomes.

Responsibilities

• Independently build, align, and execute technical plans for AI prototypes across multiple scientific use cases.
• Design, develop, and evaluate AI solutions including agentic workflows and retrieval-augmented applications.
• Translate complex scientific needs into user requirements, hypotheses, and implementation plans.
• Partner with scientists and end users to gather feedback and iteratively improve solutions.
• Demonstrate value through evaluation of accuracy, reliability, usability, and impact.
• Collaborate with enterprise AI, data science, engineering, and security teams to scale validated prototypes.

Skills

AI Solution Development

R or Python

Generative AI & LLMs

Data Governance & Security

Cross-Disciplinary Collaboration

Technical Planning

Education

PhD in AI/Computational Science

Tools

Cloud Computing

Containers

Version Control

APIs

Scientific Tools

Job description

• Independently build, align, and execute technical plans for AI prototypes across multiple scientific use cases
• Design, develop, and evaluate AI solutions, including agentic workflows, scientific copilots, retrieval-augmented applications, and AI-assisted analytical tools
• Translate complex or ambiguous scientific needs into user requirements, testable product hypotheses, success criteria, and implementation plans
• Partner with scientists and end users to understand workflows, gather feedback, and iteratively improve solutions
• Demonstrate scientific and business value through evaluation of accuracy, reliability, usability, reproducibility, and impact
• Collaborate with enterprise AI, data science, engineering, platform, architecture, security, and governance teams to transition validated prototypes toward scalable solutions

Requirements

• PhD in a field relevant to artificial intelligence and computational science, including Computer Science, Computational Biology, Bioinformatics, Biostatistics, Engineering, or Physics
• 4+ years of relevant industry or applied research experience using computational methods to solve complex scientific or business problems
• Demonstrated experience building working AI or machine learning solutions, prototypes, or research software in R or Python and modern software development environments
• Practical experience with generative AI, large language models, retrieval-augmented generation, agentic workflows, AI-assisted coding, or related technologies
• Experience integrating data sources, scientific tools, models, APIs, MCPs, or computational workflows while respecting data governance, security, privacy, and intellectual property requirements
• Proven ability to communicate and collaborate across scientific and technical disciplines
• Exceptional scientific rigor and attention to detail
• Ability to independently formulate technical plans, troubleshoot complex systems, manage multiple priorities, and deliver usable outcomes
• Preferred: experience applying AI in pharmaceutical research, biotechnology, healthcare, or another regulated scientific environment
• Preferred: knowledge of drug discovery, immunology, molecular biology, translational research, or high-dimensional biomedical data
• Preferred: experience with cloud computing, containers, version control, model evaluation, observability, and secure deployment patterns
• Preferred: experience moving a prototype from proof of concept toward production
• Preferred: product-oriented mindset, including user discovery, iterative design, adoption measurement, and value realization
• Preferred: ability to build and leverage a strong scientific and technical network

Core Competencies

Demonstrates expertise in building and evaluating AI solutions, translating scientific needs into actionable plans, and collaborating across disciplines to deliver impactful outcomes. Proficient in computational methods and technologies relevant to artificial intelligence and scientific research.

Highest-signal resume keywords

• PhD In Artificial Intelligence
• AI Solution Development
• Experience With R Or Python
• Generative AI And Large Language Models
• Data Governance And Security

Hard Skills

• AI Prototyping
• Machine Learning Solutions
• Computational Methods
• Data Integration
• Technical Plan Formulation
• Model Evaluation
• Observability
• Secure Deployment Patterns
• User Requirements Translation
• Iterative Design

Soft Skills

• Collaboration
• Communication
• Attention To DetailProblem-Solving
• Scientific Rigor

Industry Keywords

• Computational Biology
• Biotechnology
• Pharmaceutical Research
• Healthcare
• Drug Discovery

Tools & Technologies

• Cloud Computing
• Containers
• Version Control
• APIs
• Scientific Tools