Biostatistics Data Scientist - Real-World Evidence

Calyxo, Inc.; Pleasanton (CA); Remote; USD 135,000 - 155,000; Full time

Benefits offered by this job

Stock options

401(k) and health insurance

Paid vacation

Job summary

Calyxo, Inc. is seeking a Data Scientist to transform real-world, clinical, and preclinical data into reliable datasets, analyses, and insights supporting research and cross-functional business needs.

You will work on study design, endpoints, analysis plans, and reproducible statistical programming, collaborating with R&D, Regulatory, and IT teams. The role emphasizes practical data science, rigorous documentation, and clear communication of results to technical and nontechnical audiences, with

Qualifications

• Bachelor's degree in a quantitative field plus 7 years of relevant experience; or master's with 5 years.
• Practical experience using R to prepare, analyze, visualize, and validate complex datasets.
• Experience translating research questions into well-defined datasets and analysis plans.
• Experience with statistical analysis of clinical, preclinical, or health data.
• Working knowledge of study design, endpoints, analysis planning, and interpretation of study data.
• Ability to develop, review, and document statistical programs with appropriate QA and traceability.
• Strong data-quality, documentation, problem-solving, and communication skills.
• Ability to work independently while collaborating in a cross-functional team.
• Full-time employment.
• Ability to travel up to 10% of the time.

Responsibilities

• Provide biostatistical support for preclinical and clinical studies including input on protocols, study design, endpoints, analysis populations, 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.

Skills

R programming

Statistical analysis

Data visualization

Communication

Independent work

Collaboration

Education

Bachelor's degree in quantitative field (data science, statistics, biostatistics, CS, epidemiology, public health)

Master's degree (preferred)

Tools

SAS

Python

SQL

Job description

Calyxo, Inc. is seeking a Data Scientist to transform real-world, clinical, and preclinical data into reliable datasets, analyses, and insights supporting research and cross-functional business needs.

You will work on study design, endpoints, analysis plans, and reproducible statistical programming, collaborating with R&D, Regulatory, and IT teams. The role emphasizes practical data science, rigorous documentation, and clear communication of results to technical and nontechnical audiences, with