Senior Director, Biostatistics

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.

PERKS Of Being An A-Teamer

• Unlimited PTO
• 401(k) with 4% employer match
• 16 weeks of fully paid parental leave
• Daily in-office lunch stipend (and a fully stocked kitchen) in New York and Boston
• Commitment to professional development opportunities
• Employee-led programming including regularly scheduled events hosted by our employee resource groups
• Comprehensive medical, dental, and vision coverage w/ multiple plan options including an HSA plan with annual Aetion contributions.
• Free membership to OneMedical
• Peer & company recognition programs
• Educational lunch & learns
  
  

Description

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

As a Senior Director in the Research and Analytics team, you will hold an active people manager role. As a successful candidate, you will manage a team of R programmers executing analyses for client projects, serve as a statistical/epidemiologic expert in applied research activities, champion methodologic research, and contribute to the development of software product features.

This position will report to the Head of Research and Analytics, Chief Science Office.

Responsibilities

Applied Scientific Research

• Direct or matrixed management of a team of R programmers to ensure the timely delivery of robust analyses for Aetion’s real-world study portfolio, via rigorous code strategy, code review, and quality control review
• 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
• Autonomously conduct R programming, including data management, interpretation of results, and draft or review of sections relevant to the methods or results for reports or manuscripts
  
  

Thought Leadership/Methodological Research

• Support the identification, prioritization, design, and execution of methodological projects and staff training to ensure Aetion’s Science Team is equipped with best practices for robust real-world study design and conduct
• Be active in external thought-leadership as aligned with Aetion’s strategic priorities, such as submission of conference abstracts, authorship of manuscripts, participation in regulatory events, workshops and webinars, etc.
  
  

Product

• Provide input on the appropriate application and prioritization of analytic product features and support their testing in collaboration with the Product Management and Engineering teams, based on use cases and input from clients and internal scientists.
  
  

Additional Responsibilities

• Maintain knowledge base in statistical and/or epidemiologic methods as applied to observational (real-world) studies
• Support and promote educational activities and knowledge sharing, including development of best practice documents
• Mentor early-career programmers and biostatisticians/epidemiologists in R coding practices and quantitative methods
  
  

Qualifications

Required

• PhD in biostatistics, statistics, or related quantitative field.
• 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.
• Experience in people management, or cross-functional team management and decision making.
• Excellent oral and written communication skills.
  
  

Preferred

• Extensive expertise in the design and conduct of descriptive or inferential observational/epidemiological studies using secondary sources of real-world data to address.
• Experienced in people management.
• Experienced in strategic decision-making and leadership.
• 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.

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

$205,000—$225,000 USD