Associate Research Scientist, Real World Evidence

Summary

Precision AQ is hiring an Associate Research Scientist to join its Real-World Evidence team. The role supports multiple cross-functional projects as an analytics expert by preparing and analyzing primary and secondary data, developing protocols and analysis plans, designing real-world evidence studies, and communicating study results.

Responsibilities

• As an Associate Research Scientist on the RWE team at Precision AQ, you will contribute to multiple projects comprised of cross-functional staff, serving as the analytics expert on the project. You will prepare and perform analyses of primary and secondary data, develop protocols and analysis plans, design RWE studies, and communicate study results internally and externally

Skills

• * You have experience in the conduct of real-world studies, including data feasibility assessments, developing study protocols, analytic dataset creation, data analyses, and study reports
• * You can perform data preparation and analyses independently and are comfortable making recommendations to the client and team members on study direction
• * You can anticipate and identify considerations relevant to the implementation of various approaches, including potential facilitators of and barriers to successful project and task execution
• * Master's degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health
• * Proficiency in one or more of the following programming languages: R, Python, SQL, or SAS
• * 0-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs
• * Ability to work effectively individually and as part of a diverse team
• * Strong organizational skills, including the ability to meet deadlines and balance competing demands
• * Willingness and desire to learn and share knowledge
• * Excellent oral and written communication skills

Qualifications

Must Haves

• * You have experience in the conduct of real-world studies, including data feasibility assessments, developing study protocols, analytic dataset creation, data analyses, and study reports
• * You can perform data preparation and analyses independently and are comfortable making recommendations to the client and team members on study direction
• * You can anticipate and identify considerations relevant to the implementation of various approaches, including potential facilitators of and barriers to successful project and task execution
• * Master's degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health
• * Proficiency in one or more of the following programming languages: R, Python, SQL, or SAS
• * 0-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs
• * Ability to work effectively individually and as part of a diverse team

Nice to Haves

• * Strong organizational skills, including the ability to meet deadlines and balance competing demands
• * Willingness and desire to learn and share knowledge
• * Excellent oral and written communication skills

Benefits

• This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation
• Fully remote position