• Develop new methods that provide clinically actionable results from sequencing data; • Create and optimize bioinformatics pipelines, balancing biological answer quality with computational performance; • Ensure reproducibility and traceability of analyses, guaranteeing that clinical processing is consistent and auditable; • Perform ad hoc analyses of experimental laboratory data to inform decisions about standardizing new pipelines; • Work in a multidisciplinary team, writing clean, maintainable code with good test coverage; • Understand key sequencing metrics and automate quality-control checks.

• Support global compensation programs and cycles • Conduct compensation analysis and pay equity reviews • Prepare reports for annual planning and decision-making • Ensure data integrity and compliance with policies

• Design, develop, and optimize fraud strategies across personal loans and student loan refinance products • Monitor portfolio performance to identify emerging fraud trends, risks, and optimization opportunities • Develop and deploy fraud rules and strategies using segmentation, statistical analysis, and predictive modeling techniques • Own end-to-end fraud mitigation processes, with accountability for fraud loss reduction and performance outcomes • Design and execute A/B tests and champion/challenger frameworks to evaluate strategy effectiveness • Build and maintain scalable analytical frameworks using tools such as Snowflake and dbt • Develop dashboards and reporting (e.g., Looker) to monitor KPIs such as fraud rate, approval rate, and false positives • Generate actionable insights from structured and unstructured datasets, including limited or noisy data environments • Partner with cross-functional teams (Product, Engineering, Risk, Operations) and external vendors to implement fraud solutions • Leverage internal and third-party data to enhance fraud detection capabilities • Continuously evaluate and refine strategies based on performance metrics and evolving fraud patterns • Communicate insights, strategy performance, and model behavior clearly to stakeholders and senior leadership • Support model development lifecycle, including design, validation, and production deployment

• Reviewing and analyzing contracts, agreements, and legal documents related to clinical trial activities and vendor relationships. • Negotiating contract terms and conditions with clients, vendors, and other stakeholders to ensure compliance with regulatory requirements and company policies. • Collaborating with cross-functional teams to assess contract risks, identify opportunities for improvement, and develop strategies to mitigate potential issues. • Maintaining accurate and up-to-date records of contract status, milestones, and deliverables using contract management systems. • Providing guidance and support to internal teams on contract-related matters, including contract interpretation, compliance, and dispute resolution.