Analyst, Feasibility AI Apps

Tempus; Chicago (IL); Vor Ort; USD 70.000 - 105.000; Vollzeit

Benefits dieser Stelle

Benefits package

Zusammenfassung

Tempus is seeking a data analytics professional to translate clinical and genetic requirements into robust data extraction logic and actionable insights. You will work with expeditionary datasets (EMR, genomics, lab) to identify eligible patient populations and support client-ready deliverables.

Collaborating with business development, translational research, and clinical teams, you will build and refine dashboards, maintain data quality, and contribute to post-sale analytics and reporting.

Qualifikationen

• Bachelor's degree in analytical/healthcare field or related.
• 2-3 years in healthcare analytics or clinical data, or a relevant master's.
• Proficiency with SQL and data transformation tools (dbt).
• Experience with data visualization tools (Looker, Tableau).
• Ability to translate complex clinical/genetic cohort definitions into data logic.

Aufgaben

• Act as technical executor for feasibility analysis and analytics infrastructure during pre-sale downtime.
• Interpret and operationalize clinical cohort definitions with cross‑functional teams.
• Extract and summarize patient data from multi-source datasets (EMR, genetic, lab).
• Generate analytics and insights (attrition funnels, geographic distribution, provider metrics).
• Support optimization of feasibility workflows and automated pipelines for post‑sale analytics.

Kenntnisse

SQL

dbt

Looker

Tableau

EMR data

Genomics data

Communication

Ausbildung

Bachelor's degree in a relevant field

Tools

Google Suite

Excel

Python

R

Jobbeschreibung

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.

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives. We’re looking for people who can change the world. Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind is ever faced. Head on.