Precision AQ

Associate Research Scientist

Posted 19 days ago

Job summary

  • Job post source

    This job is directly from Precision AQ

  • Job overview

    The Associate Research Scientist at Precision AQ is responsible for leading real-world evidence studies that impact healthcare outcomes, working as a data expert and thought leader within the HEOR space.

  • Responsibilities and impact

    The role involves conducting real-world studies including data feasibility assessments, developing study protocols, creating analytic datasets, performing data analyses, and communicating study results both internally and externally.

  • Compensation and benefits

    The salary range is approximately $66,000 to $94,000 USD, with eligibility for a discretionary annual bonus, health insurance, retirement savings, life and disability insurance, parental leave, and paid time off for sick leave and vacation.

  • Experience and skills

    Candidates should have a Master’s degree in health-related fields, proficiency in programming languages like R, Python, SQL, or SAS, and 0-2 years of relevant research experience; strong organizational and communication skills are preferred.

  • Career development

    The position offers opportunities to work on multiple cross-functional projects and develop expertise in real-world evidence studies within the pharmaceutical and biotech sectors.

  • Work environment and culture

    The company promotes a diverse and inclusive work environment with a fully remote work option and values effective individual and team collaboration.

  • Company information

    Precision AQ is a company specializing in health economics and outcomes research, focusing on real-world evidence studies to improve healthcare outcomes globally.

  • Team overview

    The candidate will join the Real-World Evidence team, working alongside cross-functional staff as the analytics expert on projects.

  • Job location and travel

    This is a fully remote position, allowing work from any location.

  • Application process

    Applicants should submit their application online and may contact the company for accommodations if needed; the company emphasizes a formal interview process and warns against fraudulent job offers.

  • Unique job features

    The role is distinguished by its focus on real-world evidence studies in the pharmaceutical and biotech space and offers a fully remote work setup.

Company overview

Precision AQ is a leading company specializing in advanced air quality monitoring solutions. They develop and manufacture high-precision sensors and data analytics software that help industries and municipalities monitor and manage air pollution levels. The company generates revenue through the sale of its proprietary hardware, subscription-based software services, and comprehensive environmental consulting. Founded in 2010, Precision AQ has a history of innovation, having pioneered several industry standards in air quality measurement and reporting. Their commitment to sustainability and technological excellence makes them a prominent player in the environmental tech sector.

How to land this job

  • Position your resume to highlight your experience or academic projects in real-world evidence studies, focusing on data feasibility assessments, study protocol development, and analytic dataset creation as these are key responsibilities at Precision AQ.

  • Emphasize proficiency in programming languages such as R, Python, SQL, or SAS, and your ability to independently perform data preparation and analyses, as well as your communication skills for study results.

  • Apply through multiple channels including Precision AQ’s corporate careers page and LinkedIn to maximize your application visibility and ensure you don’t miss any openings or updates.

  • Connect with professionals in the Real-World Evidence division at Precision AQ on LinkedIn; use ice breakers like commenting on recent RWE publications by the team or asking about their experience working remotely in this field.

  • Optimize your resume for ATS by including keywords such as 'real-world evidence,' 'data feasibility assessments,' 'study protocols,' 'R,' 'Python,' 'SAS,' and 'health economics' to ensure it passes initial automated screenings.

  • Use Jennie Johnson’s Power Apply feature to automate tailored applications, identify relevant job portals, and find LinkedIn contacts in the division, allowing you to focus more on preparing for interviews and networking effectively.

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