Research Scientist I, Evidence & Strategy

Avalere Health • Washington DC, WA

1d • Hybrid

About The Position

Avalere Health is seeking a Research Scientist I to join its Evidence & Strategy Practice. The practice addresses value-based assessments, evidence generation, quantitative and qualitative research, feasibility studies using open- and closed-source datasets, and go-to-market strategies for evidence-differentiated offerings. The team applies subject matter expertise and an understanding of client business issues to assess how changes in healthcare evidence, market access, and policy affect pharmaceutical companies, managed care plans, providers, and consumers. It also provides analytic support and advisory services, including legislative strategy, regulatory analysis, and quantitative modeling of proposed and enacted policies for clients across the healthcare industry.

This role performs data management and analysis using large patient and claims databases to support economic and outcomes modeling and client strategic objectives. The Research Scientist I independently develops and troubleshoots code, manages workflow, contributes to research and analysis, and ensures analytic outputs are accurate, high-quality, and consistent. The role works across analytics teams and contributes to proposals, scopes of work, budgets, and analysis plans.

Avalere Health uses a flexible working approach, with employees working in-office or at home based on team and client needs. The position may be performed remotely or in a hybrid arrangement.

Requirements

• BA/BS or higher in computer science, economics, mathematics, statistics, data science, epidemiology, or a related discipline.
• At least 3 years of SAS or SQL programming experience in a work setting.
• Experience analyzing large administrative pharmacy and medical claims databases, both public and private.
• Experience importing, transforming, cleaning, merging, and editing data, and applying extensive quality and accuracy measures.
• Working knowledge of basic statistical techniques and/or econometric skills.
• Demonstrated problem-solving, analytical reasoning, and decision-making skills, with a strong commitment to meeting goals and deadlines.
• Positive, flexible, and self-motivated attitude, excellent teamwork skills, and ability to work in a multidisciplinary environment.
• Comfort working in a remote or hybrid environment and demonstrated ability to be productive and self-guided.

Nice To Haves

• Background in healthcare policy and analysis.
• Experience analyzing healthcare survey data, such as the Medical Expenditure Panel Survey and Medicare Current Beneficiary Survey.
• Experience interpreting basic statistical output and analyses.

Responsibilities

• Import, transform, merge, and validate data to create analytic-ready datasets using SQL and/or SAS.
• Perform descriptive and basic statistical analyses of large patient and/or claims databases in support of economic and outcomes modeling and client strategic objectives.
• Develop and troubleshoot code independently, resolve data issues, and seek guidance on higher-risk methodological or client-impacting decisions.
• Contribute to concept proposals, scopes of work, budgets, and analysis plans.
• Independently manage workflow and contribute directly to research and analysis.
• Work within and across organizational analytics teams to identify opportunities to deliver innovation to clients.
• Ensure the accuracy, quality, and consistency of analytic outputs.

Benefits

• 401(k) plan with employer match contributions up to 4%, immediately vested.
• Life insurance and disability coverage.
• Medical, dental, and vision plans.
• Flexible working arrangements, including hybrid and remote work, with the option to work anywhere in the world for two weeks each year.
• 20 vacation days, one personal well-being day, nine public holidays, gifted end-of-year holidays, and an early Summer Friday finish in June, July, and August.
• Free employee assistance program counselling and personalized health support.
• Enhanced maternity, paternity, family leave, and fertility policies.
• On-demand training, professional development support, and global mobility opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level