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 support research and cross functional business needs.

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 but not limited to study design, endpoint definition, analysis planning, statistical programming, data review, interpretation, and reporting.

This individual will work closely with Scientific, Clinical, R&D, Regulatory, Quality, IT, and external data partners. Success in this role requires technical rigor, sound judgment, clear documentation, and the ability to communicate analytical results to both technical and nontechnical audiences.

Data Science and Real-World Evidence

• Translate research and business questions into cohort definitions, data requirements, analytic plans, and clear deliverables.
• Work with real-world data, EHR records, claims data, clinical data, and other relevant data sources to assess data availability, provenance, quality, and suitability for analysis.
• Build, validate , and maintain reproducible workflows for data extraction, transformation, cohort construction, data-quality checks, and analysis-ready datasets.
• Develop, validate , and document repeatable workflows for structured clinical data and unstructured notes, including clinical concept extraction and natural language processing where appropriate .
• Support real-world evidence and post-market analyses, including trend assessments, subgroup analyses, evidence synthesis, and other analyses needed to evaluate device safety and performance.

Biostatistical Support for Preclinical and Clinical Studies

• Provide biostatistical support for preclinical and clinical studies including but not limited to input on protocols, study design, endpoints, analysis populations, sample size or precision considerations, and data-collection strategies.
• Support development and maintenance of Statistical Analysis Plans, programming specifications, analysis datasets, table shells, and other analysis documentation.
• Review study data and data structures for quality, completeness, consistency, and alignment with planned analyses; identify issues and help coordinate their resolution.
• Perform and quality-check descriptive and inferential analyses, including interim and final analyses, sensitivity analyses, subgroup analyses, and other study-specific analyses, using reproducible and traceable practices.
• Interpret and communicate results in the context of study objectives , limitations, and clinical or scientific relevance, and contribute to study reports, clinical evaluation materials, regulatory submissions, publications, abstracts, posters, and presentations.

Data Workflows, Documentation, and Quality

• Build and implement data workflows in coordination with internal IT and external data partners, following established processes for access, secure storage, audit logging, permitted use, onboarding, and data transfer.
• Maintain clear documentation of data definitions, source systems, data transformations, statistical methods, assumptions, quality checks, and results so that work can be reviewed and reproduced.
• Apply appropriate quality-control practices to datasets, analyses, programs, and outputs, escalating material issues and risks in a timely manner .
• Contribute to the development and continuous improvement of standards, templates, workflows, and best practices for data science and biostatistical analyses.

Cross-Functional Collaboration and Communication

• Translate complex statistical and data-science concepts into clear, actionable explanations for technical and nontechnical stakeholders.
• Present analytical findings, assumptions, limitations, and recommendations to project teams and other internal audiences.
• Contribute to a collaborative, accountable, and scientifically rigorous team environment.

• Manager, Biostatistics

• 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 1 0% 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.

At Calyxo , you will be part of a knowledgeable, high-achieving, experienced and fun team. You will work in a diverse work environment with experienced, proven leaders and have an opportunity to shape our company culture. You will experience constant learning and dynamic challenges to help you grow and be the best version of yourself.

• A c ompetitive base salary of $135,000 - $155,000 and variable incentive plan
• Stock options – ownership and a stake in growing a mission-driven company
• Employee benefits package that includes 401(k), healthcare insurance and paid vacation

Calyxo is deeply committed to fostering an environment where diversity and inclusion are not only valued but also prioritized. We believe a diverse and inclusive community empowers us to act courageously, care deeply, and dream boldly to impact people in big ways. Diverse viewpoints bring diverse capabilities, which strengthen our focus and fuel our growth.

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

At Calyxo, we prioritize a transparent and structured interview process to ensure the best fit for both our candidates and our team. Please be aware of the following:

• Structured Interview Process : Our hiring process includes multiple stages of interviews where you will have the opportunity to communicate directly with Calyxo employees. This ensures that you gain a comprehensive understanding of the role and our company culture.
• Verification of Identity : We do not extend job offers without first meeting candidates, either virtually or in person. This step is crucial to maintain the integrity of our hiring process and to ensure mutual alignment.
• Beware of Scams : Calyxo will never request sensitive personal information, such as your full name, address, phone number, or identification documents, via email or online forms before an official interview. Calyxo representatives will always contact you using an email format of . If you receive a request for information from any other domain, please contact us directly at to verify the legitimacy of the communication.

We appreciate your interest in joining Calyxo and look forward to getting to know you through our official channels.