Aetion
Data Analyst
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.
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)
Sabbatical opportunity after five years of employment
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+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+Analytics, Chief Science Office.
RESPONSIBILITIES:
Applied Scientific Research
Direct and 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 Qualifications
PhD in biostatistics, statistics, epidemiology, 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
Ability to self-motivate
Collaborative, flexible, and solution-oriented
Preferred Qualifications
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
To apply for this job please visit job-boards.greenhouse.io.