Director of Analytics & Research

The Life Raft Group (LRG) is seeking a highly analytical and intellectually curious Director of Analytics and Research to join our Data Management and Research team. This role plays a central role in advancing LRG's research agenda by leveraging the organization's patient registry and collaborating with external researchers, clinicians, and academic institutions. The Director of Analytics and Research will apply advanced biostatistical methods to patient-reported and clinical data while also helping shape research priorities, develop study concepts, and lead research initiatives from idea generation through execution and dissemination. This individual will work closely with internal teams and external partners to generate meaningful insights that improve scientific understanding and ultimately support better outcomes for patients living with rare cancers. The ideal candidate brings strong statistical training, experience conducting applied health or clinical research, and the initiative to proactively identify impactful research questions within complex datasets. This position offers a unique opportunity to work with one of the most comprehensive patient registries in the rare disease community and contribute to research that informs clinical practice and patient care. Key Responsibilities Data Analysis & Biostatistical Modeling Apply advanced statistical and biostatistical techniques to large, longitudinal patient registry datasets containing patient-reported outcomes, treatment histories, and clinical variables. Conduct survival and time-to-event analyses (e.g., Kaplan-Meier estimation, Cox proportional hazards models) to evaluate treatment patterns, progression, and outcomes. Perform multivariate regression modeling, including generalized linear models, mixed-effects models, and hierarchical models appropriate for observational health data. Design, execute, and interpret analyses supporting observational studies, outcomes research, and exploratory investigations. Apply causal inference methods (e.g., propensity score matching, inverse probability weighting) to address confounding in observational registry data. Evaluate missing data patterns, bias, and potential confounding, and apply appropriate statistical approaches such as sensitivity analyses or imputation methods. Develop reproducible analytical pipelines and maintain high standards of analytical rigor and transparency. Ensure statistical accuracy and appropriate interpretation of research findings. Research Development & Scientific Leadership Contribute to shaping LRG's research strategy and agenda by identifying high-impact research questions informed by patient data, clinical trends, and gaps in the literature. Develop research concepts, hypotheses, and study designs in collaboration with internal teams and external partners. Lead or co-lead the preparation of abstracts, posters, manuscripts, and scientific reports for submission to peer-reviewed journals and medical conferences. Serve as a primary or contributing author on scientific publications arising from LRG registry data. Initiate, cultivate, and manage research collaborations with clinicians, academic researchers, and medical institutions. Support the translation of research findings into presentations, publications, and materials that advance scientific understanding and patient care. Data Management & Registry Methodology Partner closely with data management staff to ensure data quality, completeness, and research readiness. Provide statistical guidance on registry structure, variable definition, and derived endpoints to maximize long-term research value. Contribute analytical insight to the design and refinement of data collection instruments and registry enhancements. Strategic & Organizational Impact Translate complex statistical findings into clear, actionable insights for leadership, researchers, and external stakeholders. Identify emerging trends, unmet research needs, and strategic opportunities within LRG data and the broader rare disease research landscape. Contribute to long-term planning by helping prioritize research initiatives that align with LRG's mission, patient needs, and scientific impact. Required Qualifications Master's degree required in biostatistics, statistics, mathematics, data science, or a related quantitative field, or 3 years of experience. Strong training in biostatistical methods applied to health or clinical data, particularly observational or registry-based research.

Strong expertise in:

Predicting clinical outcomes analyses (including Kaplan-Meier and Cox proportional hazards models) Longitudinal and repeated-measures modeling Multivariable regression and generalized linear models Sensitivity analyses and baseline adjustment methods, including propensity score matching and inverse probability weighing Demonstrated ability to independently design, execute, and interpret complex analytical and research projects, from study conception through dissemination of findings. Experience collaborating with clinicians, researchers, academic partners, or cross-functional stakeholders. Proficiency in statistical and analytical tools such as R, SAS, Python, STATA, or similar platforms. Experience preparing scientific manuscripts, conference abstracts, or peer-reviewed publications preferred. Experience working with real-world evidence, clinical registry data, oncology datasets, or rare disease research preferred. Experience with artificial intelligence (AI), machine learning (ML), or large language models (LLMs) is a plus.

Pay:

From $90,000.00 per year

Benefits:

401(k) Dental insurance Health insurance Paid time off

Work Location:

Hybrid remote in Wayne, NJ 07470