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Data Scientist

RADcube - A NLogix Company

Job Location:

Indianapolis, IN - USA

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 7 August 2026 (Yesterday)

Application Deadline: 4 November 2026

Vacancies: 1 Vacancy

Job Summary

Data Scientist

Hybrid Indianapolis IN

About the Role

We are seeking a Data Scientist with 35 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.

Key Responsibilities

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 productionize models and integrate outputs into reporting/decision workflows
Monitor model performance over time and iterate as needed

Requirements

Required Qualifications

35 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
Bachelors or masters degree in data science Statistics Computer Science or a related quantitative field

Preferred Qualifications

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

Required Skills:

Required Qualifications 35 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 Bachelors or masters degree in data science Statistics Computer Science or a related quantitative field Preferred Qualifications 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

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