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RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. With offices in the US, UK, Spain, France, and Sweden, we provide healthcare consulting and research expertise to optimize decision making for pharmaceutical, biotechnology, and medical device products across the development and marketing lifecycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our various practice areas include Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth.

This role is open to remote or hybrid working across the UK or EU, with Barcelona as the preferred work location.

As part of the application process, candidates are required to submit a short cover letter outlining their relevant experience and alignment with the role.

We are currently seeking a Senior Biostatistician to join our growing Biostatistics team. In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data. You will contribute to the development of statistical analysis plans, conduct analyses, and support proposal development under limited supervision while collaborating closely with multidisciplinary project teams on regulatory-grade research deliverables.

• Plan, conduct, and document statistical analyses for observational studies and clinical trials, with an emphasis on causal inference methods.
• Implement target trial emulation analyses using real-world data sources.
• Develop simple to moderately complex statistical analysis plans and contribute to more complex SAPs under supervision.
• Write statistical sections of study reports, protocols, and proposals.
• Ensure the quality, accuracy, and timeliness of statistical analyses and programming outputs.
• Provide statistical and methodological solutions to internal, cross-functional project teams.
• Mentor and oversee less experienced staff on selected project tasks.
• Learn and apply new statistical methods in response to evolving project and research needs.
• Contribute to the scientific reputation and professional development of the biostatistics group and prepare presentations for external audiences.

• Master’s degree with 6 years of relevant experience, or PhD with 1 year of relevant experience in Biostatistics, Statistics, or a related field, or an equivalent combination of education and experience.
• Strong programming skills in R (required), including experience developing reproducible analysis pipelines.
• Experience with causal inference methods (e.g., propensity score methods, weighting, marginal structural models) ; target trial emulation experience is desirable but not required.
• Experience analyzing real-world data (e.g., claims, electronic health records, registries).
• Familiarity with SAS, machine learning, and natural language processing is desirable but not required.
• Background in biostatistics or related quantitative disciplines.
• Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory environments.
• Strong analytical, organizational, and problem-solving skills.
• High level of written and verbal communication skills in English.
• Ability to manage multiple tasks, meet timelines, and work effectively in collaborative team environments.
• Experience in the pharmaceutical industry is a plus.

• Master’s degree with 6 years of relevant experience, or PhD with 1 year of relevant experience in Biostatistics, Statistics, or a related field, or an equivalent combination of education and experience.
• Strong programming skills in R (required), including experience developing reproducible analysis pipelines.
• Experience with causal inference methods (e.g., propensity score methods, weighting, marginal structural models) ; target trial emulation experience is desirable but not required.
• Experience analyzing real-world data (e.g., claims, electronic health records, registries).
• Familiarity with SAS, machine learning, and natural language processing is desirable but not required.
• Background in biostatistics or related quantitative disciplines.
• Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory environments.
• Strong analytical, organizational, and problem-solving skills.
• High level of written and verbal communication skills in English.
• Ability to manage multiple tasks, meet timelines, and work effectively in collaborative team environments.
• Experience in the pharmaceutical industry is a plus.