AI Modeler / Architect, Biopharma R&D

Pyramid Consulting, Inc; Alabama; Remote; USD 103,000 - 117,000; Full time

Job summary

Pyramid Consulting, Inc. is seeking an AI Modeler / Architect to revolutionize forecasting and simulation models in biopharma R&D. This remote role focuses on improving clinical trial accuracy and data-driven decisions using AI/ML.

The ideal candidate has 10+ years in AI/ML modeling, strong Python or R skills, and experience with clinical trial datasets. You will collaborate with R&D and data engineers to advance forecasting capabilities.

Qualifications

• 10+ years of experience in AI/ML modeling, predictive analytics, forecasting, and model validation.
• Hands-on proficiency in Python or R and relevant machine learning and statistical modeling libraries.
• Experience with data profiling, model performance evaluation, backtesting, and forecast error analysis.
• Experience working with clinical trial, pharmaceutical, biomedical, or other complex scientific datasets.

Responsibilities

• Conduct data profiling and use-case-specific data readiness assessments, identifying data quality issues and defining repeatable assessment and governance frameworks.
• Evaluate existing data and forecasting models to establish baseline accuracy, perform error analysis, and identify root causes of prediction failures.
• Train, test, and optimize AI/ML models to improve forecasting accuracy and enable clinical development simulations.
• Define model validation methodologies, performance metrics, acceptance criteria, and reliability standards for functional decision-making.
• Identify missing data sources and data gaps, translating findings into requirements for long-term AI solutions.
• Support the design and implementation of data pipelines, AI/ML infrastructure, and model training and evaluation environments.
• Collaborate with R&D consultants, clinical development teams, data engineers, and functional stakeholders to interpret results and recommend improvements.

Skills

AI/ML modeling

Forecasting

Model validation

Data profiling

Data governance

Tools

Python

R

Job description

AI Modeler / Architect, Biopharma R&D

Join a dynamic team at the forefront of biopharmaceutical innovation. We are seeking an AI Modeler / Architect to revolutionize forecasting and simulation models in biopharma R&D. Leverage your expertise to enhance clinical trial accuracy and drive data-driven decision-making.

The Role

This is a remote position based in the United States. As an AI Modeler / Architect, you will develop and validate AI-enabled models, utilizing clinical trial data to improve forecast accuracy and support strategic decisions.

Pay Rate Transparency

Pay Range: $75 – $85 / hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

What You'll Do

• Conduct data profiling and use-case-specific data readiness assessments, identifying data quality issues and defining repeatable assessment and governance frameworks.
• Evaluate existing data and forecasting models to establish baseline accuracy, perform error analysis, and identify root causes of prediction failures.
• Train, test, and optimize AI/ML models to improve forecasting accuracy and enable clinical development simulations.
• Define model validation methodologies, performance metrics, acceptance criteria, and reliability standards for functional decision-making.
• Identify missing data sources and data gaps, translating findings into requirements for long-term AI solutions.
• Support the design and implementation of data pipelines, AI/ML infrastructure, and model training and evaluation environments.
• Collaborate with R&D consultants, clinical development teams, data engineers, and functional stakeholders to interpret results and recommend improvements.

What You Bring

• 10+ years of experience in AI/ML modeling, predictive analytics, forecasting, and model validation.
• Hands-on proficiency in Python or R and relevant machine learning and statistical modeling libraries.
• Experience with data profiling, model performance evaluation, backtesting, and forecast error analysis.
• Experience working with clinical trial, pharmaceutical, biomedical, or other complex scientific datasets.
• Understanding of data governance, model validation frameworks, and AI infrastructure.

Why Work With Us

• Be part of a pioneering team in biopharma R&D.
• Engage in cutting-edge AI and machine learning projects.
• Enjoy a flexible, fully remote work environment.

Equal Employment Opportunity

Pyramid Consulting, Inc. / Hoonr provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.