Data Scientist - Remote, USA

Are you ready to change the future of kidney stone treatment? We are seeking high achievers who want to be part of a dynamic team working in a fun, diverse atmosphere.

We are seeking a Data Scientist to support evidence generation across the medical device product lifecycle. This role, under the direction of the Manager of Biostatistics & Data Science, will transform real-world, clinical, and preclinical data into reliable, reproducible datasets, analyses, and insights that suppor...

The ideal candidate brings strong hands-on data science and statistical skills, with the ability to translate research questions into fit-for-purpose datasets and analytical approaches. The role will support both real-world data initiatives and the statistical execution of preclinical and clinical studies, including...

Bachelor’s degree in data science, statistics, biostatistics, computer science, epidemiology, public health, or a related quantitative field, plus 7 years of relevant experience; or a master’s degree in a related field, plus 5 years of relevant experience. 
Practical experience using R to prepare, analyze, visualize, and validate complex datasets. 
Experience translating a research question into a well-defined dataset, analysis plan, and transparent, reproducible analytical workflow. 
Experience with statistical analysis of clinical, preclinical, observational, or other health-related data. 
Working knowledge of study design, endpoint definition, analysis planning, and interpretation of clinical or preclinical study data. 
Ability to develop, review, and document statistical programs and analytical outputs with appropriate quality control and traceability. 
Strong data-quality, documentation, problem-solving, and communication skills. 
Ability to work independently while collaborating effectively in a cross-functional team environment. 
Full-time employment. 
Ability to travel up to 10% of the time. 
Master’s degree or PhD in biostatistics, statistics, epidemiology, data science, or a related quantitative field. 
Familiarity with SAS, Python, and SQL. 
Experience with real-world data, EHR records, claims data, clinical trial data, or other longitudinal healthcare data. 
Familiarity with observational study methods and real-world evidence generation. 
Experience with clinical text, natural language processing, regular expressions, or clinical concept extraction. 
Experience supporting preclinical or clinical study design, statistical analysis plans, sample size or precision calculations, or statistical reporting. 
Experience creating Tables, Listings, and Figures or contributing to clinical study reports, publications, abstracts, posters, or regulatory submissions. 
Experience working in a medical-device, clinical-research, pharmaceutical, or other regulated environment. 
Familiarity with applicable clinical research and data standards, including GCP, ISO 14155, ICH E9, and relevant FDA guidance. 
A passion for turning complex data into reliable evidence that supports better decisions and patient impact. 
A solution-focused mindset with the ability to anticipate challenges and propose pragmatic, high-quality approaches. 
Careful attention to detail and a commitment to reproducibility, transparency, and scientific rigor. 
Curiosity and adaptability across data science, biostatistics, clinical research, and real-world evidence. 
The ability to communicate clearly, collaborate generously, and contribute to shared team outcomes.