Katalyst CRO
Overview
Join to apply for the
Senior RWD Programmer
role at
Katalyst CRO . Qualifications
Master's degree in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics or doctoral degree (PhD, DrPH, ScD). At least 5 years of experience programming with R or Python in the Data Science field in a professional capacity. Pharmaceutical industry experience preferred. Experience working with U.S. longitudinal RWD assets. (e.g., claims, electronic health records, and/or surveys). Must have sufficient experience working with Optum Market Clarity data. Proficiency with statistical methods (e.g., causal inference, survival analysis, general linear models, etc.); machine learning experience welcome, though not essential. Highly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferred. Peer-reviewed publication track record is a plus. Collaborative approach to problem-solving and ability to plan and multi-task. Excellent written and oral communication skills. Proven results producing visualizations for analytical understanding and communication purposes. Experience communicating advanced analysis and models to non-technical audiences. Clear passion for using data to generate insights and enable data-driven decision making. Seniority level
Associate Employment type
Contract Job function
Information Technology Industries
Pharmaceutical Manufacturing
#J-18808-Ljbffr
Join to apply for the
Senior RWD Programmer
role at
Katalyst CRO . Qualifications
Master's degree in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics or doctoral degree (PhD, DrPH, ScD). At least 5 years of experience programming with R or Python in the Data Science field in a professional capacity. Pharmaceutical industry experience preferred. Experience working with U.S. longitudinal RWD assets. (e.g., claims, electronic health records, and/or surveys). Must have sufficient experience working with Optum Market Clarity data. Proficiency with statistical methods (e.g., causal inference, survival analysis, general linear models, etc.); machine learning experience welcome, though not essential. Highly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferred. Peer-reviewed publication track record is a plus. Collaborative approach to problem-solving and ability to plan and multi-task. Excellent written and oral communication skills. Proven results producing visualizations for analytical understanding and communication purposes. Experience communicating advanced analysis and models to non-technical audiences. Clear passion for using data to generate insights and enable data-driven decision making. Seniority level
Associate Employment type
Contract Job function
Information Technology Industries
Pharmaceutical Manufacturing
#J-18808-Ljbffr