Data Scientist
New
C
Calyxo, Inc.Medical devices
Remote, USAFull-TimeMiddle
SalaryA competitive base salary of $135,000 - $155,000 and variable incentive plan; Stock options
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Job Details
- Experience
- Bachelor ’s degree in 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.
- Required Skills
- PythonSQLRNLP
Requirements
- 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 research questions into well-defined datasets, analysis plans, and transparent, reproducible analytical workflows.
- 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 quality control and traceability.
- Strong data-quality, documentation, problem-solving, and communication skills.
- Ability to work independently and collaborate effectively in a cross-functional team.
- A master’s degree or PhD in biostatistics, statistics, epidemiology, data science, or a related quantitative field is preferred.
- Familiarity with SAS, Python, and SQL is preferred.
- Experience with real-world data, EHR records, claims data, clinical trial data, or other longitudinal healthcare data is preferred.
- Experience with clinical text, natural language processing, regular expressions, or clinical concept extraction is preferred.
Responsibilities
- Translate research and business questions into cohort definitions, data requirements, analytic plans, and deliverables.
- Assess the availability, provenance, quality, and suitability of real-world, EHR, claims, and clinical data.
- Build, validate, and maintain reproducible workflows for data extraction, transformation, cohort construction, quality checks, and analysis-ready datasets.
- Develop and document 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, subgroup, and evidence-synthesis analyses.
- Provide biostatistical input on study protocols, design, endpoints, analysis populations, sample size or precision considerations, and data-collection strategies.
- Develop and maintain Statistical Analysis Plans, programming specifications, analysis datasets, table shells, and related documentation.
- Review study data and data structures, identify quality or consistency issues, and help coordinate their resolution.
- Perform and quality-check descriptive and inferential analyses, including interim, final, sensitivity, and subgroup analyses.
- Interpret and communicate results and contribute to study reports, clinical evaluation materials, regulatory submissions, publications, abstracts, posters, and presentations.
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