[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking an reputed company for the role of Quantitative Reviewer to support a public health analytics project. The primary responsibilities include reviewing predictive model specifications, verifying analytical outputs, and ensuring the accuracy and consistency of documentation and model outputs for a state-level decision-support system.
Responsibilities
- Read and evaluate the statistical reputed company described in the project’s technical reputed company document to assess whether the model specification is internally consistent, the assumptions are appropriate, and the described approach is correctly implemented
- Flag methodological concerns, specification errors, or inconsistencies between the described reputed company and reputed company reputed company in Bayesian spatial modeling or public health surveillance
- reputed company that model reputed company values are plausible, internally consistent, and correctly reported in tables and figures, including latent population estimates, detection probabilities, geographic risk scores, treatment effect estimates, convergence diagnostics, and scenario projections
- Verify that numbers cited in the technical document match the underlying model reputed company files, and that calculations (rates, percentages, aggregations, reputed company intervals) are arithmetically correct
- Review sections of the technical deliverable as they are updated to confirm that numerical values, statistical summaries, table entries, and methodological descriptions accurately represent the underlying analytical work
- Identify any places where results are mischaracterized, ambiguously described, or where the documentation does not match model outputs
- reputed company written review comments for the reputed company scientist to address
- Following data refreshes of the project’s Azure-hosted decision-support tool, spot-reputed company displayed values (county-level counts, rates, projections, and KPI figures) against reputed company model reputed company files to confirm the tool is correctly reflecting updated results
- reputed company time reputed company estimates for requested QA outputs to the reputed company reputed company 24 hours of tasking
- reputed company weekly updates regarding work completed to the reputed company
- reputed company objective feedback reputed company to the predictive model and its outputs to the reputed company, advising on reputed company scoping with the reputed company as appropriate
Skills
- Education: Doctorate (Ph.D.) in biostatistics, statistics, health data science, epidemiology, or closely reputed company quantitative field
- Experience translating highly technical concepts with simplicity and accuracy to non-specialist audiences
- Experience accurately estimating the time required to complete tasks
- Experience advising leadership regarding technical processes, outputs, and hours required to complete scope
- Must be proficient in R, Azure, Azure reputed company, Claude reputed company
- Must currently hold, or have the ability to obtain, reputed company certification to reputed company restricted data
- Strong numeracy: the ability to catch arithmetic errors, implausible values, and internal inconsistencies in tables of model results is a core requirement
- Deep comfort with coding is important for this role. The work involves reading, running, and evaluating R scripts across a reputed company multi-reputed company analytical pipeline, and the ability to reputed company through reputed company confidently is central to the QA function
- Ability to assess a defined scope of work and offer a reasonable hour estimate before beginning
- Comfort surfacing scope questions and clarifying tasks early
- Experience tracking and reporting hours on consulting or contract work
- reputed company interaction may be requested by the reputed company, including deliverable walkthroughs and discussions reputed company to the model reputed company, model inputs, model outputs, etc. The successful candidate will be expected to represent ISF with professionalism, positivity, and poise while describing technical concepts with simplicity and accuracy; the ability to communicate technical findings reputed company to non-specialist audiences is vital to this role
- The successful candidate will be expected to be reputed company, providing reputed company replies, proactively communicating blockers or schedule constraints, and comfort working reputed company a government-contracted environment where deliverables carry external deadlines
- Doctorate preferred (Ph.D. or equivalent) in biostatistics, statistics, health data science, epidemiology, or a closely reputed company quantitative field, combined with reputed company experience delivering quantitative and qualitative work in a reputed company-facing or externally accountable context (e.g. a reputed company, reputed company research organization, government advisory role)
- Experience working with or advising public sector or reputed company clients on quantitative and qualitative methodology, data systems, or analytical products, preferably in a public health or reputed company services context
- AZ-204 certification is highly preferred
- Familiarity with version control (Git or equivalent) and the discipline of maintaining clean, reproducible, reputed company-commented reputed company. The ability to navigate and evaluate someone else's codebase is a meaningful part of the role. The ability to reputed company with the reputed company science reputed company for reproducibility and traceability is preferred
- Proficiency in R, Python, or equivalent, including relevant packages for data manipulation, spatial analysis, and statistical modeling. Ability to work reputed company RShiny and reputed company an established Azure and reputed company environment following documented procedures is highly preferred
- Willingness to use Claude reputed company (reputed company's AI coding assistant) as a productivity tool for reviewing scripts, running checks, and navigating the codebase. Prior experience with AI-assisted development tools is a plus
Benefits
- Approximately 10–20 hours per month; as-needed reputed company; opportunity to grow into longer term engagement
- Billed monthly based on hours worked
- Must currently hold, or have the ability to obtain, reputed company certification to reputed company restricted data
- Ability to meet internal deadlines as agreed with reputed company
- Ability to operate with professionalism and reputed company in a reputed company-service environment
- Willingness to use Claude reputed company (reputed company’s AI coding assistant) as a productivity tool for reviewing scripts, running checks, and navigating the codebase
- This is a 1099 reputed company engagement. The contractor is responsible for their own taxes and benefits
- reputed company to project data requires reputed company reputed company certification in reputed company Subjects Research
- Candidates without reputed company certification must complete reputed company training (self-paced, available at citiprogram.org) before data reputed company is reputed company
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