Associate Director, Data Science, AI Solutions

Jobtailor; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in the United States (New Jersey) seeks an experienced AI/ML professional to build and maintain advanced AI applications, including custom RAG architectures, for regulated environments. You will work on forecasting, simulations, and optimization for R&D quality challenges and scale analytics in enterprise platforms such as Dataiku and Posit Workbench.

You will collaborate on governance, validation playbooks, and monitoring protocols while explaining AI models to leadership and

Qualifications

• BS/BA degree in a relevant area.
• 5+ years of experience in pharma, biotech, or technology industries.
• 5+ years designing and deploying ML, forecasting, or optimization models using Python, R, and SQL.
• Hands-on experience developing custom RAG architectures.
• Experience with LLM APIs and MLOps fundamentals (Git, monitoring, model maintenance).
• Strong dashboards with Power BI or Spotfire and ETL/data structures knowledge.
• Experience hosting AI solutions in AWS/Azure/GCP; regulatory GxP exposure and software validation familiarity.
• Excellent communication to distill complex tech for non-technical stakeholders.
• Experience supporting cross-functional teams in global, matrixed organizations.
• Interest in emerging tech including generative AI.

Responsibilities

• Build, deploy, and maintain advanced AI applications including custom RAG pipelines.
• Develop analytics solutions such as forecasts, simulations, and optimizations for R&D quality challenges.
• Monitor and scale operational analytics in enterprise platforms like Dataiku and Posit Workbench.
• Collaborate on GxP AI governance, validation playbooks, and monitoring protocols.
• Explain AI models, algorithms, and limitations to stakeholders and leadership.
• Partner with business leaders to identify high-value AI use cases.
• Learn processes and stakeholder needs to drive meaningful outcomes.
• Educate QA teams on modern tech stacks, LLMs, and data literacy.
• Represent the company in cross-functional forums such as IMPALA.

Skills

Python Programming

R Programming

Advanced SQL

MLOps

LLM APIs

GxP Compliance

Data Visualization

ETL Pipelines

Cloud Platforms

Cross-functional Collaboration

Education

BS/BA degree in a relevant area

Tools

Dataiku

Posit Workbench

Power BI

Spotfire

AWS

Azure

GCP

Git/Version Control

Job description

• Build, deploy, and maintain advanced AI applications, including custom RAG pipelines and agentic systems
• Develop traditional analytics solutions such as forecasts, simulations, and optimizations for R&D quality challenges
• Monitor, enhance, and scale operational analytics systems in enterprise platforms such as Dataiku and Posit Workbench
• Collaborate with the GxP AI Governance Program on regulatory frameworks, validation playbooks, and monitoring protocols
• Explain AI algorithms, models, and limitations to non-technical stakeholders and leadership
• Partner with business leaders to identify challenges and propose high-value data science and AI use cases
• Learn business processes and stakeholder needs to drive meaningful outcomes
• Educate and upskill QA team members on modern technology stacks, LLMs, and data literacy
• Represent the company in cross-functional forums such as IMPALA

Requirements

• BS/BA degree in a relevant area
• 5+ years of experience in the pharmaceutical, biotech, or technology-related industry
• Minimum 5 years of professional experience using Python, R, and advanced SQL to design and deploy machine learning, forecasting, or optimization models
• Hands-on experience developing custom RAG architectures
• Experience working with LLM APIs
• Core MLOps experience, including Git/version control, monitoring, and model maintenance
• Proficiency designing user-friendly dashboards using Power BI or Spotfire
• Foundational understanding of ETL pipelines and data structures
• Familiarity with hosting and deploying AI solutions or agentic pipelines in AWS, Azure, or GCP
• Prior experience in a regulated pharmaceutical GxP environment
• Exposure to software validation or AI governance frameworks
• Exceptional communication skills and ability to distill complex technical terminology into actionable insights
• Experience supporting cross-functional teams in a global, matrixed organization
• Interest in emerging technologies, including generative AI

Core Competencies

Demonstrates expertise in building and deploying advanced AI applications, including custom RAG architectures and MLOps practices. Proficient in using Python, R, and SQL for machine learning and analytics solutions within regulated environments.

Highest-signal resume keywords

• Python Programming
• R Programming
• Advanced SQL
• MLOps Experience
• GxP Compliance

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Forecasting Models
• Optimization Models
• Custom RAG Architectures
• Data Analytics Solutions
• ETL Pipelines
• User-Friendly Dashboard Design

Soft Skills

• Exceptional Communication
• Stakeholder Engagement
• Cross-Functional Collaboration

Industry Keywords

• Pharmaceutical Industry
• Biotech Industry
• AI Governance
• Regulatory Frameworks
• Software Validation

Tools & Technologies

• Dataiku
• Posit Workbench
• Power BI
• Spotfire
• AWS
• Azure
• GCP