Ph.D. Level Biostatistician (temporary)
WELCOME to Aetion! We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Aetion Evidence Platform is 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 EU headquarters in Barcelona.
- European Medicines Agency selected Aetion to support safety and efficacy research in Europe
- Collaboration with the National Institute for Health and Care Excellence (NICE)
- Strategic partnership with Quinten Health to use Artificial Intelligence and Real-World Evidence to reduce research timelines
- Aetion and Cegedim Health Data long-term partnership to expand real-world evidence research in Europe
Aetion and Aetion’s leadership are recipients of several prestigious awards:
- Built In Boston, Built In New York, & Built In Los Angeles 2023 Best Places to Work
- Parity.org’s 2022 Best Companies for Women to Advance
- NYC Health Business Leaders’ 2022 Digital Health 100
- CB Insights’ 2022 Digital Health 150
Come join us!
As a science-driven healthcare analytics company with a rapidly growing customer base, Aetion is looking for experienced biostatisticians to support study design and execution. This is a temporary position expected to work up to 40 hours per week and we anticipate the assignment to last for 6 months.
As a Biostatistician, you will provide statistical expertise in applied research activities, drive methodologic research, and contribute to the prioritization and development of analytic platform features. This position will report to the Head of Biostatistics.
Applied Scientific Research
- Lead and support the implementation of multiple projects
- Comfort implementing novel methodologies from statistical literature.
- Maintains knowledge base in pharmacoepidemiology, HEOR, and/or biostatistical methods as applied to observational RWE studies.
- Conduct statistical analyses to support the Scientific Research team’s deliverables (e.g. for research collaborations) and research agenda
- Supports syntheses and preparation of statistical results for external presentation
- Implements data processing pipelines and analyses.
- Support and promote educational activities and knowledge sharing, including the development of best practice documents.
- Mentor early-career biostatisticians/epidemiologists in quantitative methods.
- PhD in biostatistics, statistics, epidemiology, or related quantitative field
- At least 2 years of relevant experience conducting analytics with secondary data sources (e.g., claims, registries).
- Extensive expertise in the design of observational/epidemiological studies. Experience in the clinical trials space may meet this requirement.
- Extensive expertise in the application of biostatistical and causal inference methods to yield decision-grade real-world evidence (RWE) from secondary data sources (e.g. claims, registries). Proficiency in at least one statistical programming language (Python or R preferred).
- Ability to self-motivate
- Resilient, collaborative, flexible, and innovative
- Available for up to 40 hours per week, on average
- Proficient in R statistical programming language
- Experience working in cross-functional teams
- Experience with Databricks and Spark clusters
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.