Data Scientist

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

• Digital Transformation and strategy consulting.
• Custom Software Development tailored to specific business needs.
• Advanced Data Analytics and AI-driven platforms.
• Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

• 2026 TechPoint Mira Awards Finalist:
  Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
• Public Sector Excellence:
  Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

We are seeking a Data Scientist with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame problems, build models and analyses that answer them, and communicate results in terms that drive pharma business decisions.

• Develop statistical models, machine learning models, and advanced analyses using large-scale datasets in Databricks
• Access, prepare, and engineer features from data processed through Apache Spark and AWS data services
• Partner with business groups to understand pharma-specific problems and translate them into data science approaches
• Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows
• Communicate modeling results, insights, and recommendations clearly to both technical and non-technical business stakeholders
• Apply pharma domain knowledge to ensure models and analyses are relevant and interpretable in a business context
• Collaborate with data engineers and analysts to product ionize models and integrate outputs into reporting/decision workflows
• Monitor model performance over time and iterate as needed

• 3-5 years of data science / applied statistics / machine learning experience specifically within the pharma industry
• Hands-on experience with Databricks for data science/ML workflows
• Working knowledge of AWS data services
• Strong experience with Big Data processing using Apache Spark, PySpark.
• Experience building ETL pipelines to support data science workflows
• Strong Python and SQL skills; experience with ML libraries
• Demonstrated ability to understand pharma business needs and speak to pharma business groups
• Strong communication skills with demonstrated ability to present technical findings to business stakeholders
• Bachelor's or master's degree in data science, Statistics, Computer Science, or a related quantitative field

• Experience with Delta Lake, Snowflake, or similar modern data platforms
• Familiarity with MLOps practices and model deployment/monitoring
• Prior experience supporting pharma commercial, clinical, or R&D data science functions