Data Scientist

Intuitive

. Translate evidence needs into research questions, study designs, analytical plans, and data science approaches .

Posted 10/28/2026full-timeRemote • Sunnyvale • California • United StatesMid-LevelSenior💰 $127,600 - $215,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and statistical analysis, with proficiency in Python and SQL for data manipulation and visualization. Capable of designing and executing complex research studies while effectively communicating findings to diverse stakeholders.

Highest-signal resume keywords

Data ScienceStatistical AnalysisPython ProficiencySQL ProficiencyResearch Methodology

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Descriptive StatisticsInferential StatisticsPredictive ModelingMachine LearningCausal InferenceLongitudinal AnalysisExperimental MethodsQuasi-Experimental MethodsData Quality EvaluationAnalytical Problem Solving

Soft Skills

Strong Communication SkillsScientific WritingCollaboration SkillsProject ManagementOrganizational Skills

Tools & Technologies

Analytical WorkflowsData Visualization ToolsHealthcare Data SystemsResearch DatabasesStatistical Software

Industry Keywords

Healthcare DataBiomedical InformaticsQuantitative MethodsResearch StudiesData Provenance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Translate evidence needs into research questions, study designs, analytical plans, and data science approaches
Design, execute, and interpret analyses using surgical-system, product, procedural, research, clinical, financial, and healthcare data
Apply descriptive and inferential statistics, longitudinal analysis, experimental and quasi-experimental methods, causal inference, predictive modeling, and machine learning
Conduct data exploration and feasibility assessments, evaluate data quality, and identify bias or confounding
Support retrospective and prospective research studies through hypotheses, endpoints, feasibility assessments, statistical analysis plans, derived variables, metrics, and analytical methods
Develop reproducible analytical workflows using Python, SQL, and other appropriate tools
Collaborate with data engineering, data management, technical, scientific, medical, clinical, product, and research teams
Establish analysis-ready datasets and understand data provenance and limitations
Communicate methods, findings, uncertainty, limitations, and implications to scientific, clinical, technical, business, and external research stakeholders
Contribute to research reports, abstracts, posters, manuscripts, conference presentations, and collaborations with external investigators and research institutions

Requirements

What you’ll need

Minimum of 5 years of related experience with a Bachelor's degree; 3 years with a Master's degree; a PhD without prior professional experience; or equivalent work experience
Related experience applying data science, statistics, biostatistics, biomedical or health informatics, or other quantitative methods to complex research, healthcare, engineering, or product data
Strong quantitative foundation and knowledge of statistical methods, including regression, hypothesis testing, uncertainty estimation, bias, confounding, and interpretation of observational data
Proficiency in Python and SQL for data manipulation, analysis, visualization, and reproducible analytical workflows
Experience with large, complex, longitudinal, and/or high-dimensional datasets and evaluating data quality and limitations
Demonstrated judgment selecting analytical methods and resolving moderate to complex analytical problems
Strong oral and written communication skills for explaining complex statistical, technical, and scientific concepts
Strong scientific and technical writing, organization, and collaboration skills; ability to manage multiple projects with limited day-to-day direction
Bachelor's degree in Data Science, Statistics, Biostatistics, Computer Science, Biomedical or Health Informatics, Engineering, Applied Mathematics, Epidemiology, or a related quantitative discipline, or equivalent work experience
Training or demonstrated experience in statistical analysis, data science, research methodology, or related quantitative methods
Ability to work in healthcare and surgical environments, including human or animal laboratories, as needed
Ability to travel up to 25% of the time
Current proof of vaccination against certain diseases, including COVID-19, may be required
Preference given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee

Benefits

Comp & perks

Remote work; employees come onsite when requested by the leader
Market-competitive compensation packages including base pay, incentives, benefits, and equity
Potential vaccination coverage/requirement details vary by role
Reasonable accommodations during the application and interview process
Equal employment opportunities and non-discrimination protections