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Remote opportunity atPrecision Medicine Group

Associate Research Scientist, Real World Evidence

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Published
22Listing views
2Application actions
10 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

This entry-level Associate Research Scientist role supports real-world evidence (RWE) studies for pharmaceutical and biotechnology clients. The scientist will assess data feasibility, develop protocols and analysis plans, create analytic datasets, conduct primary and secondary data analyses, and communicate findings to internal and external stakeholders. Candidates need a relevant master’s degree and proficiency in R, Python, SQL, or SAS, with up to two years of prior research experience. The role is fully remote within the United States and involves independent analytical work alongside cross-functional project teams.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

3/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

3/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role requires applied epidemiology, health-services research, and programming skills, but it is designed for an early-career professional with 0–2 years of experience. Managing multiple client-oriented studies and translating analysis results into clear recommendations creates a moderately demanding pace.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$80,000
US market range$65k–$95k
AI insightThe disclosed yearly salary range is $66,000 to $94,000 USD, with a midpoint of $80,000. This aligns with an estimated US market range of approximately $65,000 to $95,000 for an early-career real-world evidence or health outcomes research scientist; actual pay may vary by geography, technical depth, and relevant research experience.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe your experience conducting a real-world evidence or observational research study.

In my academic or prior research work, I began by refining the research question and assessing whether the available data could answer it. I then helped develop the study design, define cohorts and outcomes, prepare the analytic dataset, run the planned analyses, and summarize limitations and findings for stakeholders.

How would you approach a data feasibility assessment for a new client study?

I would first clarify the target population, exposure, comparator, outcomes, follow-up period, and required covariates. Next, I would profile the candidate data source for population size, coding completeness, longitudinal coverage, missingness, and linkage constraints, then document whether the data can support the proposed design and any recommended adjustments.

What steps do you take to ensure an analytic dataset is accurate and reproducible?

I use version-controlled code, preserve clear source-to-output data lineage, and create documented cohort-building and variable-definition steps. I also perform quality checks such as record counts, range checks, duplicate reviews, missingness assessments, and independent validation of key derived variables.

How would you explain a complex study result to a nontechnical client stakeholder?

I would begin with the decision-relevant finding in plain language, then explain the magnitude and direction of the result using a simple visual or example. I would clearly distinguish association from causation where appropriate and describe the most important assumptions and limitations without unnecessary statistical jargon.

How do you manage competing deadlines across multiple research projects?

I break each deliverable into scoped tasks, estimate effort and dependencies, and maintain a prioritized work plan. I communicate early if risks arise, align priorities with the project lead, and provide concise progress updates so the team can make timely decisions.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Associate Research Scientist – RWE

Are you looking to work with a dynamic team of industry leading professionals in the HEOR space? Is your passion leading Real World Evidence studies that improve healthcare outcomes worldwide? Our Real-World Evidence team is hiring an Associate Research Scientist to join our team of research professionals conducting real-world studies in the pharmaceutical and biotech space, operating as a thought leader, problem solver, and data expert.

This is a fully remote position.

About You:

  • 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.

About The Role:

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.

Required Experience:

  • 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

Helpful Experience:

  • 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

#LI-Remote

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. 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, among other benefits.

Reasonable estimate of the current range

$66,000—$94,000 USD


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Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.

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