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Aetion

R Programmer / Biostatistics Subject Matter Expert (Contractor)

Sorry, this job was removed at 12:15 p.m. (EST) on Tuesday, Jul 08, 2025
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Remote
Hiring Remotely in US
75-100 Annually
Easy Apply
Remote
Hiring Remotely in US
75-100 Annually

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WELCOME to Aetion! We are one of the country’s leading science-driven technology companies using real-world evidence for better healthcare decision-making. Our Generate, Discover and Substantiate applications, powered by the Aetion Evidence Platform, evaluate the safety, effectiveness, and value of medications, delivering better outcomes to patients, medical professionals, and clients. We’ve partnered with top biopharma companies and are backed by leading venture capital firms to help increase our medical research and expand our product line. 

Aetion has entered into an agreement to be acquired by Datavant, a leading health data platform company. Learn more.

This is a contract position with a minimum commitment of 20 hours and up to 40 hours / week with the potential to be considered for full-time hire. 

DESCRIPTION:

As a science-driven healthcare analytics company with a rapidly growing customer base, Aetion is looking for an experienced R programmer with expertise in biostatistics and/or epidemiologic methods applied to real world data. 

RESPONSIBILITIES:
  • Autonomously conduct and review R programming and data management for complex longitudinal analyses
  • Serve as an internal, client (and other stakeholder)-facing expert in statistical and/or epidemiologic methods to support the design and conduct of robust real-world research, including protocol and statistical analysis plan development and ensuring appropriateness of study design, sample size and statistical methodologies proposed
  • Aid in the interpretation of programmed results (e.g., relevant sections of reports or manuscripts)
QUALIFICATIONS:Required:
  • Advanced degree in Biostatistics, Statistics, Epidemiology, or related quantitative field.
    • PhD with at least 2 years of relevant experience or Masters with at least 5 years of relevant experience.
  • Extensive expertise in the design and conduct of descriptive, prediction, and causal inference observational/epidemiological studies using secondary sources of real-world data, such as administrative claims, electronic health records, and disease registries. Experience in the clinical trials space may meet this requirement.
  • Expertise in processing of raw real-world data files (especially from secondary sources) to obtain analysis-ready datasets, such as engaging with data from multiple tables, stringing data to create drug durations, applying complex algorithms (for example, creating pregnancy episodes), etc.
  • Proficiency in R programming language.
  • Proficiency in Github use.
  • Ability to self-motivate and work autonomously.
  • Collaborative, flexible, and solution-oriented.
Preferred:
  • Extensive expertise in the design and conduct of descriptive or inferential observational/epidemiological studies using secondary sources of real-world data to address key questions in healthcare and pharmacoepidemiology.

The position is compensated at an hourly rate of $75–$100, based on qualifications and expertise.

Aetion is an Equal Opportunity Employer. Aetion is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or genetic information.

At Aetion, internal pay equity across teams is our top priority. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data.

US Pay Range
$75$100 USD
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