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Research Scientist I, Evidence & Strategy

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

đź’µ $90k - $110k / year

⏰ Full Time

🟡 Mid-level

đźź  Senior

🧬 Research Scientist

Where this job comes from

Posted on Avalere's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Avalere

Avalere

201 - 500 employees

🏥 Healthcare

🛡️ Insurance

⚖️ Legal

Healthcare • Insurance • Legal

Avalere is a healthcare consulting firm founded in 2000, partnered with leading life sciences companies, health plans, providers, and investors. It provides objective analysis, balanced insights, and innovative, data-driven solutions to complex healthcare challenges. Avalere specializes in services such as market access, HEOR, patient-centered research, implementation science, evaluation, and due diligence. It operates as part of Avalere Health, dedicating efforts to help clients in the life sciences, health plans, providers, and private equity sectors to anticipate and adapt to industry trends. The firm offers insights into federal and state healthcare policies and aids clients in adapting to changes in the legislative and regulatory environment.

đź“‹ Description

• Perform data management activities to generate analysis-ready datasets, including importing, transforming, merging, and validating data using SQL and/or SAS • Perform descriptive and basic statistical analysis using large patient and/or claims databases • Support economic and outcomes modeling, analysis plans, and client strategic objectives • Independently develop and troubleshoot code • 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 across organizational analytics teams to identify innovation opportunities for clients • Ensure accuracy, quality, and consistency of analytic outputs • Provide analytic support and advisory services across healthcare evidence, market access, policy, and quantitative modeling projects

🎯 Requirements

• BA/BS or higher in computer science, economics, mathematics, statistics, data science, epidemiology, statistics, or related discipline • 3+ years of SAS or SQL programming experience in a work setting • Experience analyzing large administrative pharmacy and medical claims databases, public and private • Experience importing, transforming, cleaning, merging, and editing data • Extensive quality and accuracy measurement experience • Working knowledge of basic statistical techniques and/or econometric skills • Problem-solving, analytical reasoning, and decision-making skills • Strong commitment to meeting goals and deadlines • Positive, flexible, and self-motivated attitude • Excellent teamwork skills and ability to work in a multidisciplinary environment • Ability to work productively and self-guidedly in a remote/hybrid environment • Healthcare policy and analysis background • Experience analyzing healthcare survey data, such as the Medical Expenditure Panel Survey and Medicare Current Beneficiary Survey • Experience interpreting basic statistical output and analyses

🏖️ Benefits

• 401(k) plan with employer match contribution up to 4%, immediately vested • Life insurance • Disability coverage • Medical, dental, and vision plans • Flexible working arrangements, including hybrid and remote work • Option to work from anywhere across the globe two weeks each year • 20 vacation days • One personal well-being day • 9 public holidays • Gifted end-of-year holidays • Early Summer Friday finish in June, July, and August • Free counselling through employee assistance program • Personalized health support • Enhanced maternity, paternity, family leave, and fertility policies • On-demand training and professional development support • Global mobility opportunities across the business • Employee Network Groups and social opportunities • Global, cross-capability career moves • Interview adjustments through the Disability Confident Scheme

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