Senior Scientific Analyst (Research & Analytics)

WELCOME to Aetion! We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Generate, 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 Technology Hub in Barcelona.

Aetion and Aetion’s leadership are recipients of several prestigious awards: 

• Parity.org’s 2024 List of Best Companies for Equal Advancement Opportunities
• Digital Health New York’s 2024 New York Digital Health 100
• Newsweek's World's Best Digital Health Companies of 2024 

Come join us! 

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:

Aetion, a science-driven healthcare analytics company, is looking for Senior Scientific Analysts to join our dynamic Science team. Applications will be reviewed on a rolling basis and we will reach out if a role is available that matches your qualifications and interests! 

As a Senior Scientific Analyst you will become a highly proficient user of Aetion’s Substantiate platform to lead complex implementations, inform complex measure development, QC findings, and interpret results & communicate key takeaways in partnership with client facing scientists.

RESPONSIBILITIES:

• Lead  implementation of 1-2 studies which may include:
• Performing tasks that inform the study design (e.g., literature reviews, identification of code lists, etc.)
• Executing data and sample size feasibility assessments
• Advising Study Leads on protocol implementation feasibility and operationalization of variables/measures.
• Preparing analytic file downloads for the coding team and integrate external results as applicable
• Providing constructive scientific and presentation feedback to the implementation team on performance of assigned tasks with little to moderate guidance from manager
• Creating, QCing, and formatting result tables 
• Summarizing the interpretation of findings and present results to internal stakeholders 
• Participate in Scientific Support rotation to aid clients using Substantiate as either first or second reviewer, pending platform experience and availability
• Develop familiarity in at least one TA and/or data source 
• Collaborate closely within the R&A team and partner closely with leads on the Scientific Consulting team.

Qualifications*:

Required Qualifications

• Bachelor’s degree (or equivalent), preferably in sciences, social sciences, or a related analytic field 
• At least 2 years of full-time experience in a research or analytic area
• Demonstrated experience in analytical research using healthcare data, preferably healthcare claims and/or electronic health records (EHR) data.  
• Outstanding attention to detail and organization.
• Strong ability for critical and logical thinking 
• Strong ability to quickly learn new tools.
• Strong ability to self-motivate and manage conflicting priorities in a fast-paced environment.
• Excellent communication in verbal and written form.

Preferred Qualifications:

• Experience with analytic or statistical software programs.
• Experience with mentoring colleagues, especially in a project team setting.
• Experience with epidemiological studies or familiarity with epidemiology concepts.
• Experience with cross-funct