LivantaLLC

Data Analyst

• Work closely with Data/Technology and Operational teams to analyze complex healthcare datasets, develop data models, and generate actionable insights that inform internal products, client solutions, and strategic decisions
• Analyze and interpret large-scale healthcare datasets (e.g., claims, EHR, FHIR, registries) to identify trends, outliers, and key performance indicators
• Collaborate with data engineers, product managers, and domain SMEs to define data requirements, metrics, and quality controls
• Build and maintain curated datasets and dashboards for internal and external stakeholders using SQL, Python, or BI tools
• Support design and execution of analyses for clinical, operational, or policy use cases, including cohort definitions, utilization patterns, and risk stratification
• Develop and document business rules for data standardization, mapping, and transformation
• Assist in data validation and QA efforts for data pipelines and analytics-ready datasets
• Ensure data privacy and compliance with HIPAA, 42 CFR Part 2, and organizational security protocols
• Translate analytic findings into clear, compelling narratives and data visualizations for decision-makers
• Monitor key data health metrics and assist with anomaly detection and root cause analysis
• Support data strategy and architecture decisions through domain-aligned analysis and metric modeling

Data Scientist

• Prepare and analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
• Develop, implement, and optimize machine learning models, including Generative AI, for predictive analytics, classification, and other applications.
• Apply statistical techniques to analyze data and build models that forecast future trends and behaviors (e.g., risk stratification, disease progression, readmission likelihood).
• Create compelling data visualizations and dashboards to effectively communicate findings and insights to stakeholders.
• Connect and match within and across data sources both internal/ external to augment and enhance analyses.
• Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to gather requirements and deliver data solutions.
• Stay current with industry trends and advancements in data science and integrate new techniques and tools into existing workflows.
• Identify, review, and execute impactful analytical approaches from industry whitepapers.
• Translate complex data into actionable insights to support clinical decision-making, care optimization, and operational efficiency, often through dashboards or reports.
• Collaborate with clinicians, informaticists, and SMEs to derive relevant features from health data, such as comorbidity indices, lab value trajectories, or time-to-treatment measures.
• Ensure data use complies with HIPAA, 42 CFR Part 2, and other applicable regulations.
• Apply de-identification, data masking, or differential privacy techniques when needed.
• Help define and sometimes implement workflows for data acquisition, preprocessing, and model inference pipelines, often in cloud-based environments (e.g., AWS, Azure).
• Identify and mitigate potential biases in data or models, and ensure outputs are interpretable by clinical or policy stakeholders.
• Monitor model performance over time and retrain or recalibrate as necessary to maintain accuracy and relevance in evolving clinical environments.

Data Scientist – Federal Health

Pricing Analyst

• Develop and implement pricing strategies for government contracts, considering factors such as cost competitiveness, cost centers, pricing regulations, and profitability goals.
• Establish and maintain standardized pricing for Commence’s software and services, ensuring competitiveness within the market while maintaining maximum profitability.
• Provide support during the proposal development process, including reviewing solicitations, participating in pricing strategy discussions, and contributing to proposal narratives.
• Develop and justify levels of effort based on program requirements in collaboration with SMEs and historical data.
• Prepare detailed price proposals and narratives in response to government solicitations, ensuring accuracy, compliance, and alignment with customer requirements.
• Research and analyze competitor pricing strategies and contract awards to identify pricing trends and inform pricing decisions.
• Facilitate pricing data calls to Commence subcontractors, ensuring compliance with all opportunity requirements.
• Evaluate financial risks associated with proposed pricing strategies and provide recommendations to mitigate risks and maximize profitability.
• Ensure compliance with government pricing regulations, including the Federal Acquisition Regulation (FAR), Defense Contract Audit Agency (DCAA) guidelines, and Cost Accounting Standards (CAS).
• Utilize cost estimation tools and models to forecast project costs accurately and support decision-making processes.
• Collaborate with cross-functional teams, including operations and business development, to develop pricing strategies that align with overall business objectives.
• Develop and maintain pricing databases to streamline pricing analysis and responses.
• Identify opportunities for process improvements in pricing methodologies, tools, and procedures to enhance efficiency and effectiveness.

Pricing Manager

• Lead a team analyzing and interpreting complex healthcare data to support CMS in detecting and preventing fraud, waste, and abuse (FWA)
• Work closely with cross-functional teams, including policy analysts, healthcare professionals, and IT specialists, to support data-driven decision-making
• Provide technical assistance and training to team members on data analysis tools and methodologies
• Analyze large datasets related to Medicare programs to identify trends, patterns, and anomalies indicative of FWA
• Conduct statistical analyses and develop predictive models to support investigations and enhance program integrity
• Utilize machine learning techniques to detect and prevent fraudulent activities
• Collect, clean, and preprocess data from various sources to ensure data quality and integrity
• Maintain and update databases and data systems as necessary
• Create detailed reports and visualizations to communicate findings to stakeholders
• Present data insights and recommendations to CMS leadership and other relevant parties
• Ensure compliance with all relevant data privacy and security regulations, including HIPAA
• Implement best practices for data governance and management

Data Analyst

Data Scientist – Federal Health

Pricing Manager

Health Data Lead