3 дня назад
Principal Biostatistician FSP, RWE (Real-World Evidence)
111 000 - 309 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Biostatistician FSP, RWE (Real-World Evidence): Providing statistical support for drug development using real-world evidence, including claims, EMR, registry, and clinical trial data, with an accent on RWE study design, advanced analysis, and regulatory and HTA research. Focus on developing protocols and statistical analysis plans, implementing propensity score and other complex models, interpreting healthcare data, and leading cross-functional studies for regulators, payers, and clinicians.
Location: Home-based remote role in the United States or Canada
Annual base pay: $111,000–$309,000
Company
IQVIA provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
- Provide statistical support for drug development based on real-world evidence.
- Lead Biometrics activities for health outcomes and epidemiology studies.
- Design RWE, HEOR, and HTA studies using claims, EMR, registry, and other real-world data.
- Write protocols, statistical analysis plans, study reports, and related study documents.
- Select and implement statistical and machine learning models, including propensity score methods and outcome metrics.
- Collaborate with multidisciplinary stakeholders and support RWE strategies for regulators, payers, and clinicians.
Requirements
- Ph.D. in Statistics, Biostatistics, or a related field and 5+ years of industry experience.
- Hands-on experience leading secondary data analyses using medical claims, EMR/EHR, chart reviews, and registries.
- Advanced SAS programming skills for complex inclusion and exclusion criteria, propensity score matching, and outcome metrics.
- Strong knowledge of RWE databases, LOINC codes, reimbursement and laboratory data, surrogate variable algorithms, and healthcare resource utilization.
- Experience developing LOA, mock TFLs, protocols, and statistical analysis plans, as well as working with CDISC ADaM datasets.
- Knowledge of ICH GCP, E9, global regulatory and HTA requirements, and experience collaborating with medical affairs and health economics stakeholders.
Nice to have
- Understanding of payer landscapes, health economic outcomes, and value demonstration frameworks.
- Experience with regulatory submissions and HTA support.
- Expertise in R programming.
Culture & Benefits
- Home-based remote work with flexible schedules and work-life balance.
- Collaboration with statistical, research, and sponsor teams through an FSP partnership.
- Technical training and a tailored development curriculum.
- Long-term engagements, career development, and potential redeployment opportunities.
- Opportunities to contribute to regulatory submissions and the development of new therapies.
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