The Sr. Data Scientist will lead advanced analytics initiatives and partner with cross‑functional teams—including Commercial Insights, Manufacturing, Supply Chain, Engineering, Data Teams, External Vendors, Service Owners, and IS partners—to design and implement analytical models that solve complex business challenges across the PR Operations Organization. This role is responsible for end‑to‑end project execution, from problem definition and methodology selection to model development, deployment, and communication of insights. The Sr. Data Scientist will drive innovation and deliver measurable business impact through strategic use of data science, machine learning, and artificial intelligence.
Key Responsibilities
- Lead, develop, and apply data science, machine learning, and AI capabilities across operational and commercial functions.
- Serve as project lead within cross‑functional teams to generate insights that deliver substantial business value.
- Work independently with minimal supervision, proactively identifying analytical opportunities.
- Conduct business needs assessments, perform SWOT analyses, propose analytical approaches, secure stakeholder alignment, and execute projects end‑to‑end.
- Build high‑performance algorithms, prototypes, predictive models, and proof‑of‑concepts using Python.
- Develop and execute SQL and other database queries across relational and graph databases.
- Collaborate with stakeholders to define methodologies and analytical frameworks that address specific business questions.
- Present analytical concepts, project updates, and results in a clear, compelling, and actionable manner.
- Create strong data‑driven narratives and presentations using PowerPoint; demonstrate proficiency in Excel and the MS Office suite.
- Ensure compliance with regulatory, security, and privacy requirements related to data assets.
Skills
- Background in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
- Proven experience leading and executing analytics projects end‑to‑end.
- Strong experience with relational, SQL, and graph databases.
- Programming proficiency in Python, R, or SAS; familiarity with ML libraries such as scikit‑learn, MLlib, Keras, TensorFlow, PyTorch, etc.
- Ability to write well‑abstracted, reusable code; comfortable working in Linux environments.
- Strong logical reasoning, problem‑solving, and decision‑making skills.
- Excellent organizational skills and ability to manage large, complex datasets.
- Ability to collaborate and influence cross‑functional partners to drive analytics initiatives.
- Exceptional communication skills with the ability to translate complex analysis into clear, actionable insights.
- Experience with distributed computing tools (Spark, Hive, etc.) and large‑scale data environments.
- Passion for continuous learning and staying current with advanced analytics trends.
- Experience in biotech or pharmaceutical environments preferred.
Requirements
Required Education & Experience
- Doctorate OR
- Master’s + 2 years of experience in data science, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or related fields OR
- Bachelor’s + 4 years of experience in related fields OR
- Associate’s + 8 years of experience in related fields OR
- High School/GED + 10 years of experience in related fields
Highly Preferred:
- Degree in Computer Engineering or Computer Science
- Specialized courses or certifications in Artificial Intelligence / Machine Learning
Preferred Qualifications
- Experience supporting manufacturing operations; vial filling experience highly preferred.
- Experience deploying or integrating AI solutions into manufacturing or operational environments.
- Strong foundation in artificial intelligence, software development, and digital technologies.
- Hands‑on experience developing AI/ML models for process optimization or task automation.
- Knowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
- Experience with Python, TensorFlow, PyTorch, OpenCV, or similar AI/ML frameworks.
- Basic statistical analysis skills using JMP or similar tools.
- Experience generating technical documentation, protocols, reports, and development records.
- Knowledge of Good Documentation Practices (GDP), quality systems, and compliance requirements.
- Strong project management and problem‑solving capabilities.
- Ability to communicate effectively with both technical and non‑technical stakeholders.
- Quality‑focused mindset with strong attention to detail.
- High digital literacy and proficiency with AI tools and modern technologies.
Benefits
- 5-month contract with possible extension
- Administrative Shift
Skills Required
- Doctorate OR Master's + 2 years OR Bachelor's + 4 years OR Associate's + 8 years OR High School/GED + 10 years in relevant fields
- Proven experience leading and executing analytics projects end-to-end
- Programming proficiency in Python, R, or SAS
- Build high-performance algorithms, prototypes, predictive models, and proofs-of-concept using Python
- Develop and execute SQL and other database queries across relational and graph databases
- Strong experience with relational, SQL, and graph databases
- Familiarity with ML libraries (scikit-learn, MLlib, Keras, TensorFlow, PyTorch, etc.)
- Experience with distributed computing tools and large-scale data environments (Spark, Hive, etc.)
- Ability to write well-abstracted, reusable code and work in Linux environments
- Strong communication skills; ability to present insights and produce stakeholder-facing presentations (PowerPoint) and use Excel/MS Office
- Background in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
- Experience supporting manufacturing operations; vial filling experience
- Experience deploying or integrating AI solutions into manufacturing or operational environments
- Specialized courses or certifications in Artificial Intelligence / Machine Learning
- Experience in biotech or pharmaceutical environments
- Knowledge of OpenCV, Generative AI, Large Language Models (LLMs)
- Basic statistical analysis skills using JMP or similar tools
- Familiarity with Good Documentation Practices (GDP), quality systems, and compliance requirements
What We Do
BioPharma Consulting JAD Group provides a complete portfolio of technical support and solutions for the FDA regulated industry. We deliver solutions with a flexible cost effective approach to meet your company’s needs. BPC JAD group is a company created to help our customers bridge the gap between their business strategy and results. Our mission is to help our clients succeed by partnering with them and providing value added business solutions on the validation, engineering and compliance fields. We will carry out our mission by creating a long-term partnership with our customers and provide reliable and cost effective technical solutions. BPC JAD Group objective is to deliver reliable tailored solutions; from providing consultation to becoming part of your staff. We will develop customized frameworks to help our customers unlock the hidden value in their plants, facilities, equipment and people with an optimal integration of resources regulations and technology.
