Analyst, Feasibility AI Apps

Tempus AI

. Act as a technical executor for feasibility analysis and support core analytics infrastructure during pre-sale downtime .

Posted 10/22/2026full-timeUnited StatesJuniorMid-Level💰 $70,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and data transformation tools like dbt, with a strong ability to translate complex clinical and genetic data into actionable insights and visualizations. Proficient in collaborating across technical and clinical teams while maintaining attention to detail and managing multiple priorities in a fast-paced environment.

Highest-signal resume keywords

SQL ProficiencyData Transformation with dbtData Visualization with LookerHealthcare Analytics ExperienceClinical Genomics Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData TransformationData VisualizationClinical Data AnalysisEMR Data ExtractionR for Data AnalysisPython for Data AnalysisData Quality AssuranceStatistical AnalysisCohort Definition Implementation

Soft Skills

Interpersonal CommunicationOrganizational SkillsAttention to DetailProblem-Solving SkillsCollaboration

Tools & Technologies

DbtLookerTableauGoogle SuiteExcel

Industry Keywords

Healthcare AnalyticsClinical GenomicsOncologyClinical Trial DesignRare Disease Research

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Act as a technical executor for feasibility analysis and support core analytics infrastructure during pre-sale downtime
Translate complex clinical, genetic, and business requirements into technical scripts and SQL queries
Translate analytical outputs into digestible data visualizations and insights
Work with business development, translational research, and clinical teams to operationalize clinical cohort definitions
Extract and summarize patient data from EMR, genetic, laboratory, and secondary sources
Generate attrition funnels, geographic distributions, and provider/institution metrics for client presentations
Support automated feasibility pipelines and seamless handoff for post-sale algorithm development
Use SQL and dbt to combine clinical, genetic, and operational data
Follow QA processes to identify and correct data errors, inconsistencies, and gaps
Maintain and enhance Looker dashboards and other data visualizations for feasibility and post-sale reporting
Develop oncology and clinical genomics knowledge to translate clinical concepts into technical deliverables

Requirements

What you’ll need

Bachelor’s degree in an analytical, computational, or healthcare-related field (e.g., Bioinformatics, Data Science, Public Health, Biology, Computer Science, Biomedical Engineering)
2-3 years of relevant work experience in healthcare analytics, clinical data, or related fields OR master’s in related field
Proficiency in SQL (or equivalent query language)
Experience with data transformation tools such as dbt
Experience with data visualization tools such as Looker or Tableau
Ability to interpret and implement complex clinical/genetic cohort definitions in code
Excellent interpersonal, written, and verbal communication skills
Strong organizational skills and outstanding attention to detail
Ability to work efficiently under time constraints and manage multiple priorities
Ability to collaborate across technical, clinical, and operations teams, with strong problem-solving skills
Proficiency in Google Suite and Excel
Willingness to work in an agile, fast-paced, and expanding team environment
Experience working with EMR, clinical, or claims data
Familiarity with oncology, clinical trial design, or rare disease research
Experience with R or Python for data analysis
Experience leveraging agentic tooling for rapid prototyping solutions regarding this work
Experience working with genetic or molecular data (e.g., NGS, variant annotation)

Benefits

Comp & perks

Incentive compensation may be offered
Restricted stock units may be offered
Medical and other benefits depending on the position