Manager, Reimbursement Strategy & Analytics at Tempus

Chicago, Illinois, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

3+ years of experience in healthcare revenue cycle analytics, reimbursement, or healthcare consulting
Experience managing projects or small teams is preferred but not required
Strong attention to detail and ability to manage multiple tasks and priorities
Experience working with large, complex, or disorganized data sets and translating data into actionable insights
Proficient in Excel and PowerPoint; experience with SQL and dashboard tools (e.g., Tableau, Looker) is a plus
Familiarity or experience with AI large language models (LLMs) and/or agents is strongly preferred
Strong analytical and problem-solving skills; comfortable working in a fast-paced, ambiguous environment
Effective communicator with the ability to present data and insights to various audiences

Responsibilities

Analyze reimbursement and claims data to identify trends, opportunities, and risks related to ASP improvement
Support the development and implementation of reimbursement strategies based on payor policy changes and regulatory updates
Assist in structuring and maintaining reimbursement data to ensure accessibility and accuracy for analysis
Develop and maintain dashboards and reports to track key reimbursement metrics and support decision-making
Present findings and recommendations to team members and management, focusing on ASP and reimbursement KPIs
Collaborate with cross-functional teams (Market Access, Finance, Legal, Product, Medical Affairs, Lab Operations) to support payor contract performance and alignment with ASP goals
Participate in projects to optimize reimbursement processes and improve operational efficiency
Respond to ad hoc data requests and support special projects as needed

Skills

Reimbursement Analysis

Claims Data Analysis

ASP Optimization

Forecasting

Dashboard Development

Data Reporting

KPI Tracking

Payor Policy Analysis

Regulatory Updates

Cross-Functional Collaboration

Tempus

AI-driven healthcare data analysis platform

About Tempus

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in healthcare. The company offers a platform that analyzes medical data to provide insights for physicians, helping them make better treatment decisions. This platform also aids pharmaceutical and biotech companies in drug development by identifying new targets and assessing treatment effectiveness. For patients, Tempus identifies personalized therapy options, particularly in cancer care, where their research has shown increased opportunities for tailored treatments. They have developed a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. Tempus generates revenue by charging healthcare providers and companies for access to their platform and insights, setting them apart from competitors by their focus on personalized medicine and extensive cancer research.

Chicago, IllinoisHeadquarters

2015Year Founded

$894.9MTotal Funding

IPOCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Relocation Assistance

Company Equity

Performance Bonus

Risks

Competition from partners like Genialis may lead to conflicts of interest.

Ambry Genetics acquisition could pose financial risks if synergies aren't realized.

Technical challenges may arise in integration with Flatiron's OncoEMR platform.

Differentiation

Tempus uses AI to analyze clinical and molecular data for precision medicine.

Their platform aids in personalized treatment decisions for cancer patients.

Tempus collaborates with biotech firms to enhance drug development using real-world data.

Upsides

Increased AI adoption in healthcare boosts Tempus' partnerships and collaborations.

Acquisition of Ambry Genetics expands Tempus' genetic testing capabilities.

Integration with Flatiron's OncoEMR enhances precision in cancer treatment plans.

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