Analyst, Feasibility AI Apps

Ambry Genetics • Chicago, IL

1d

About The Position

Tempus is seeking an Analyst, Feasibility AI Apps to support feasibility analysis and core analytics infrastructure. The role translates clinical, genetic, and business requirements into data extraction logic, queries, visualizations, and insights that support client presentations and business development. The analyst works with senior team members and cross-functional partners, using large datasets—including EMR, genetic, and laboratory data—as well as secondary sources such as peer-reviewed publications, to identify eligible patient populations and summarize findings.

The role also supports workflow optimization, automated pipelines, data-source integration and harmonization, quality assurance, and maintenance of reporting dashboards. The analyst is expected to develop working knowledge of oncology and clinical genomics to help translate clinical concepts into accurate technical deliverables. During pre-sale downtime, the position may provide secondary support for core analytics infrastructure.

Requirements

• Bachelor’s degree in an analytical, computational, or healthcare-related field, or a master’s degree in a related field.
• Two to three years of relevant work experience in healthcare analytics, clinical data, or related fields, unless holding a master’s degree in a related field.
• Proficiency in SQL or an equivalent query language and experience with data transformation tools such as dbt.
• Experience with data visualization tools such as Looker or Tableau.
• Demonstrated ability to interpret and implement complex clinical or genetic cohort definitions in code.
• Excellent interpersonal, written, and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.
• 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, along 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.

Nice To Haves

• Familiarity with oncology, clinical trial design, or rare disease research.
• Experience with R or Python for data analysis.
• Experience leveraging agentic tooling to rapidly prototype solutions related to this work.
• Experience working with genetic or molecular data, such as next-generation sequencing or variant annotation.

Responsibilities

• Translate complex clinical, genetic, and business requirements into technical scripts and queries using SQL or similar tools, and turn outputs into data visualizations and insights.
• Work with business development, translational research, and clinical teams to understand cohort eligibility criteria and assist senior team members in converting them into precise data extraction logic.
• Use multi-source data, including EMR, genetic, and laboratory data, and secondary sources such as peer-reviewed publications, to identify eligible patient populations with support from senior team members.
• Generate analytics such as attrition funnels, geographic distributions, and provider and institution metrics for client presentations.
• Support feasibility workflow improvement by helping maintain and document processes, supporting automated pipelines, and enabling handoff for post-sale algorithm development.
• Use SQL and dbt to help combine clinical, genetic, and operational data for patient identification and analytics.
• Follow established quality assurance processes to identify and correct errors, inconsistencies, or gaps in data and feasibility outputs.
• Update and enhance or build dashboards and visualizations, such as in Looker, for feasibility and post-sale reporting and business development.
• Develop working knowledge of relevant oncology and clinical genomics disease areas to support accurate translation of clinical concepts into technical deliverables.
• Provide secondary support for core analytics infrastructure during pre-sale downtime.

Benefits

• Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level