About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Data Infrastructure and Analytics.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking an experienced Data Analyst to support real-world data (RWD) analytics, observational study execution, and advanced analytical methods. You will partner across clinical, commercial, and data engineering teams to design studies, analyze claims/EHR datasets, and translate results into clear scientific and business insights.

• Design, execute, and report observational studies using claims, EHR, registries, and patient-generated data
• Conduct feasibility assessments to identify appropriate RWD sources
• Create and manage analytic datasets, table shells, and statistical analysis plans
• Apply advanced statistical techniques: survival analysis, regression, IPTW, MAIC, and causal inference
• Perform programming and analysis using SAS, R, and/or Python
• Lead AI/ML pilot projects for RWD applications and evaluate emerging analytics tools
• Support survival and economic modeling for HTA and health-policy initiatives
• Ensure studies meet scientific, regulatory, and quality standards; implement QC processes
• Present designs, interim results, and final findings to technical and non-technical stakeholders
• Partner with data and engineering teams to improve pipelines, reproducibility, and scalability
• Mentor junior scientists and programmers; help build best-practice governance for study execution

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Minimum Qualifications

• Bachelor’s degree in a quantitative field required; graduate degree (MS/PhD) in Epidemiology, Biostatistics, Public Health, or related field preferred
• 10+ years of experience in real-world evidence generation, observational research, or epidemiology analytics
• Proven expertise in observational study design and epidemiologic methods
• Hands-on experience with claims and/or EHR datasets
• Strong statistical programming skills in SAS, R, and/or Python
• Practical experience with AI/ML frameworks and advanced analytics
• Excellent written and verbal communication, presentation, and stakeholder-management skills
• Ability to work independently, manage multiple priorities, and meet tight deadlines

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Preferred Skills

• Oncology experience or exposure to pharmaceutical/biotech research strongly preferred
• Track record of peer-reviewed publications or demonstrated research accomplishments
• Experience leading complex observational research programs
• Commercial and clinical strategic mindset; experience with HTA or market-access analytics

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Compensation & Logistics

• For U.S.-based candidates, the proposed salary range is: $231,280 – $346,920 per year.
• Employment type: Part-time (as posted). Final offer and employment terms will be set by Confidential Client.
• Location: Princeton, NJ (on-site or hybrid as defined by the hiring manager). Candidates must be authorized to work in the U.S.

Confidential Client is committed to reasonable accommodation for applicants with disabilities. If you require an accommodation during the application or interview process, please indicate this and Careertakes will connect you with the hiring team.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.