Senior Data Scientist: AI-Driven Analytics Leader

Biopharma-Consulting-Jad-Group; Juncos (PR); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Contract position

Administrative Shift

Job summary

Biopharma-Consulting-Jad-Group is seeking a Senior Data Scientist to lead advanced analytics initiatives and collaborate with commercial, manufacturing, supply chain, and data teams. You will drive end‑to‑end data science projects, build high‑impact ML solutions, and deliver measurable business value through AI and statistical modeling.

You will develop models, dashboards, and visualizations, while ensuring regulatory compliance and data integrity across datasets.

Qualifications

• Doctorate or Master’s with relevant experience required.
• Strong background in data science, statistics, and ML.
• Experience with biotech/pharma or regulated environments is a plus.

Responsibilities

• Lead design and development of data science and AI capabilities.
• Build predictive models and prototypes using Python and ML libraries.
• Collaborate with cross‑functional teams to deploying analytics solutions.
• Manage multiple datasets with data integrity and governance.
• Present findings clearly to technical and non‑technical stakeholders.

Skills

Data science

Machine learning

AI methodologies

Python

R

SAS

scikit-learn

TensorFlow

Keras

PyTorch

SQL

Graph databases

Linux

Spark

Hive

BI/data visualization

Biotech/pharma exp

Analytical thinking

Communication

Education

Doctorate

Master’s + 2 years

Bachelor’s + 4 years

Associate + 8 years

High school/GED +10 years

Tools

Power BI

Smartsheet

Excel

JMP

Minitab

Power Automate

Job description

Biopharma-Consulting-Jad-Group is seeking a Senior Data Scientist to lead advanced analytics initiatives and collaborate with commercial, manufacturing, supply chain, and data teams. You will drive end‑to‑end data science projects, build high‑impact ML solutions, and deliver measurable business value through AI and statistical modeling.

You will develop models, dashboards, and visualizations, while ensuring regulatory compliance and data integrity across datasets.