

Unicon Pharma Inc
Director of Analytics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Director of Analytics with a hybrid schedule, requiring quarterly in-office attendance. The position demands expertise in epidemiologic methods, programming in R, SAS, or Python, and a Master's or PhD in a relevant field with significant experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
October 14, 2025
π - Duration
Unknown
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ποΈ - Location
Hybrid
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Analysis #Regression #Leadership #R #SAS #Python #Data Management #Data Mining #Programming #Automation #Visualization #Data Science #Mathematics #Statistics
Role description
Associate Director, Epidemiology Analytics Job Schedule: Hybrid is preferred - would consider a remote-based candidate - must be able to come in once a quarter.
RESPONSIBILITIES Β· Provide data management of diverse data (e.g., real-world setting and clinical trial) to set up epidemiologic data sets for various approaches, quantitative epidemiologic data analysis, interpretation of results, visualization of results, and generate manuscripts to disseminate findings.
Β· Conduct statistical analyses for epidemiological research and safety queries, including but not limited to: o Descriptive summary and multivariable regression o Exploratory analysis for safety endpoints in clinical trial data o Setup and analysis of case-control and cohort study designs o Signal detection analysis in spontaneous reports (e.g., FAERS, EVDAS)
o Signal detection/evaluation analysis in RWD o Data mining (including free-text mining of unstructured data fields) using diverse data sources and methods
o Development of automation platform (e.g., R Shiny App) o Literature review and meta-analysis Β·
Skills: Experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred) Β· Proficiency with programming in R, SAS, or Python for data mining and epidemiologic analysis Β· Strong written, oral and electronic communication skills Β· Excellent leadership skills, with the ability to work effectively in a collaborative team environment Β· The ideal candidate will have a strong background in both biostatistics and epidemiology (or other medical fields)
Education: Β· Masterβs degree (with 7+ years of experience) or PhD (with 4+ years of experience) in Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field
Associate Director, Epidemiology Analytics Job Schedule: Hybrid is preferred - would consider a remote-based candidate - must be able to come in once a quarter.
RESPONSIBILITIES Β· Provide data management of diverse data (e.g., real-world setting and clinical trial) to set up epidemiologic data sets for various approaches, quantitative epidemiologic data analysis, interpretation of results, visualization of results, and generate manuscripts to disseminate findings.
Β· Conduct statistical analyses for epidemiological research and safety queries, including but not limited to: o Descriptive summary and multivariable regression o Exploratory analysis for safety endpoints in clinical trial data o Setup and analysis of case-control and cohort study designs o Signal detection analysis in spontaneous reports (e.g., FAERS, EVDAS)
o Signal detection/evaluation analysis in RWD o Data mining (including free-text mining of unstructured data fields) using diverse data sources and methods
o Development of automation platform (e.g., R Shiny App) o Literature review and meta-analysis Β·
Skills: Experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred) Β· Proficiency with programming in R, SAS, or Python for data mining and epidemiologic analysis Β· Strong written, oral and electronic communication skills Β· Excellent leadership skills, with the ability to work effectively in a collaborative team environment Β· The ideal candidate will have a strong background in both biostatistics and epidemiology (or other medical fields)
Education: Β· Masterβs degree (with 7+ years of experience) or PhD (with 4+ years of experience) in Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field