WELCOME to Aetion! We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Discover and Substantiate applications, powered by the Aetion Evidence Platform, are used to 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 is headquartered in the US and has expanded throughout Europe with a Research and Development Hub in Barcelona.
Aetion and Aetion’s leadership are recipients of several prestigious awards:
Come join us!
PERKS of being an A-Teamer:
Work-life Balance
- 25 vacation days
- Flexible start and end of working day
- Flexible in-office work commitment
- Sabbatical opportunity after five years of employment
Benefits
- Daily in-office lunch stipend and a fully stocked kitchen
- Comprehensive private health coverage w/ out-of-network reimbursement options
- Relocation to Barcelona supported with external provider services (for qualified candidates w/ EU work authorization)
Learning & Development
- Commitment to professional development opportunities
- Employee-led initiatives including annual company-wide innovation day & DEI resource groups
- Peer & company recognition programs
- Monthly educational lunch & learns
DESCRIPTION:
You will lead and support the design and execution of multiple projects.
You will be a statistics expert in applied research activities and support methodologic research.
RESPONSIBILITIES:
Applied Scientific Research
- Leads and supports the implementation of multiple studies, such as real-world descriptive and comparative studies and studies involving re-analysis of clinical trial data, for biopharma and regulatory agencies as well as other customers
- Maintains knowledge base in pharmacoepidemiology, HEOR, and/or biostatistical methods as applied to observational RWE studies, as well as current healthcare databases used in these studies
- Supports synthesis and preparation of statistical results for external presentations
- Supports the development of tools for automation, ensuring scalability of the Biostatistics team's analytics capabilities
- Implements data processing pipelines and analyses
- Supports software product development and validation
QUALIFICATIONS*:
Required Qualifications
- Master biostatistics, statistics, epidemiology, or related quantitative field
- At least 1 year of relevant experience conducting analytics with secondary real-world data (RWD) sources (e.g., claims, registries)
- Extensive expertise in the design of observational/epidemiological studies, or relevant experience with clinical trial design and analysis.
- Extensive expertise in applying biostatistical and causal inference methods to yield decision-grade real-world evidence (RWE) from secondary RWD sources (e.g., claims, registries).
- Proficient in the R statistical programming language
- Excellent communication skills, verbal and written.
- Proficiency in English is required.
- Ability to self-motivate
- Resilient, collaborative, flexible, and innovative
- Experience with Github
Preferred Qualifications
- Experience working in cross-functional teams
- Experience with Databricks and Spark clusters
- PhD in biostatistics, statistics, epidemiology, or related quantitative field
*We understand not everyone will meet all the above qualifications on day one. As a team of lifelong learners, we encourage you to apply if you are passionate about the role and want to grow your skills. We are excited to meet people who believe in Aetion's mission and can contribute to our team in a variety of ways.
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.
