Analyst, Feasibility AI Apps

Ambry Genetics Corporation; Chicago (IL); On-site; USD 70,000 - 105,000; Full time

Benefits offered by this job

Incentive compensation

Restricted stock units

Medical benefits

Job summary

Tempus seeks a data‑savvy analyst to translate clinical and genetic data into actionable insights. You’ll support feasibility analyses, implement SQL extractions, and create Looker dashboards to inform pre‑sale and post‑sale decisions.

Work with EMR, genetic, and laboratory data, harmonize sources with dbt, and collaborate across clinical, business development, and operations teams. A Bachelor’s in a health/analytic field and 2–3 years of healthcare analytics are preferred.

Qualifications

• Bachelor’s degree in an analytical, computational, or healthcare-related field.
• 2–3 years healthcare analytics experience or master’s degree.
• Proficiency in SQL and data transformation tools (dbt).
• Experience with data visualization tools (Looker, Tableau).
• Ability to interpret and implement complex clinical/genetic cohort definitions in code.

Responsibilities

• Execute feasibility analyses and support analytics infrastructure during pre‑sale downtime.
• Translate complex clinical and genetic requirements into data extraction logic.
• Extract and summarize patient data from multi‑source datasets.
• Support automated workflows and handoffs for post‑sale development.
• Build and harmonize data sources using SQL and dbt for analytics.
• Assist in dashboard maintenance and Looker visualizations.
• Develop oncology and clinical genomics knowledge base.

Skills

SQL

dbt

Looker

Genomics

Communication

GSuite/Excel

EMR data

Education

Bachelor’s degree in analytics/computational/healthcare-related field

Tools

dbt (data build tool)

Looker

Tableau

Python

R

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real‑world evidence to deliver real‑time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

What you'll do:

• Act as a technical executor for feasibility analysis and secondary support core analytics infrastructure during pre‑sale downtime: Comprehend and assist in translating complex clinical, genetic, and business requirements (e.g., cohort eligibility, patient journey analysis) & execute established solutions to generate actionable technical scripts and queries using SQL or similar tools and translate outputs into digestible data visualizations and insights.
• Interpret and operationalize clinical cohort definitions: Work closely with business development, translational research, and clinical teams to understand nuanced eligibility criteria (e.g., rare genetic variants, disease subtypes) and assist senior team members in ing them into precise data extraction logic.
• Extract and summarize patient data: Leverage large, multi‑source datasets, including EMR, genetic, and laboratory data, alongside secondary sources such as peer‑reviewed publications to identify eligible patient populations with the support of senior team members. Generate comprehensive analytics and insights, such as attrition funnels, geographic distribution, and provider/institution metrics, to support client presentations.
• Support the optimization of feasibility workflows : Help maintain and document improved process efficiency by supporting automated pipelines and ensuring a seamless handoff for post‑sale algorithm development.
• Contribute to integrating and harmonizing diverse data sources: Use SQL and dbt (data build tool) to help combine clinical, genetic, and operational data, supporting robust patient identification and analytics.
• Support Data Quality: Follow established QA processes to identify and correct errors, inconsistencies, or gaps in data and feasibility outputs.
• Assist in dashboard maintenance Help update and enhance/build data visualizations and dashboards (e.g., in Looker) to streamline feasibility reporting (or post sale reporting needs) and support business development
• Build an oncology and clinical genomics knowledge base: Develop a working knowledge of relevant disease areas (e.g., solid tumors, hematologic malignancies, rare genetic variants) to ensure accurate support of the translation of clinical concepts into technical deliverables.

Required Knowledge and Skills

• 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 masters in related field.
• Proficiency in SQL (or equivalent query language) and experience with data transformation tools (e.g., dbt)
• Experience with data visualization tools (e.g., Looker, Tableau)
• Demonstrated ability to interpret and implement complex clinical/genetic cohort definitions in code
• Excellent interpersonal, written, and verbal communication skills, with 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
• Demonstrated ability to collaborate effectively across technical, clinical, and operations teams, coupled with strong problem‑solving skills.
• Proficient in Google Suite (Gmail, Google Docs, Sheets, etc.) 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 for rapid prototyping solutions regarding this work
• Experience working with genetic or molecular data (e.g., NGS, variant annotation)

$70,000 - $105,000

The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.