Reveal HealthTech

Full-stack Engineer

• Build dynamic, end-to-end, and innovative software products and applications.
• Work with development teams and product managers to ideate software solutions
• Work with databases, servers, APIs, version control systems, and third-party apps.
• Identify anti-patterns and implement improvement plans to ensure the application's scalability, performance, reliability, and security.
• Stay updated with new tools, frameworks, approaches, and architectures in the development world.
• Collaborating with internal and external stakeholders to understand project requirements, prioritize tasks, and manage project timelines.
• Providing thought leadership and identifying ways to improve quality

Senior Full Stack Developer

Machine Learning Engineer

• Focus on building AI and automation solutions for clients in healthcare and life sciences sectors.
• Work on back-end development, data transformation, experimentation with AI/ML models, and selection of suitable solutions.
• Design scalable and secure solutions within an AWS/Azure based infrastructure.
• Collaborate with cross-functional teams to ensure alignment with client requirements and compliance standards.
• Optimize workflows for security, efficiency, and compliance with lifesciences/healthcare and privacy regulations (e.g., GxP, HIPAA).

• Build dynamic, end-to-end, and innovative software products and applications.
• Work with databases, servers, APIs, version control systems, and third-party apps.
• Identify anti-patterns and implement improvement plans to ensure the application's scalability, performance, reliability, and security.
• Help drive technical decisions and ensuring that software development processes and best practices are followed.
• Hands-on experience working on user-facing products, ensuring seamless user experience and functionality.
• Experienced in agile practices for development and quality delivery.

Fullstack Engineer

Product Manager

• Lead product discovery and definition for life sciences solutions, translating complex scientific, clinical, and regulatory needs into clear product requirements.
• Own the product lifecycle from concept through delivery, iteration, and scale, ensuring alignment with business objectives and compliance standards.
• Partner closely with project management, engineering, design, and quality team members across onshore and offshore locations to drive execution and delivery.
• Manage and prioritize product backlogs, roadmaps, and release plans in collaboration with technical leads and delivery managers.
• Operate effectively within highly regulated environments, ensuring products align with applicable GxP, data privacy, and validation expectations.
• Facilitate clear communication across global stakeholders, including client partners, leadership, and delivery teams.
• Balance strategic product thinking with hands-on execution in a services-based delivery model.
• Gather user feedback and usage insights to continuously improve product usability, performance, and adoption.
• Support change management, enablement, and rollout activities to ensure successful adoption across enterprise users.
• Translate advanced technology capabilities into practical, responsible product features.

Product Manager – Life Sciences

Analyst

• Ensure healthcare data is accurate, timely, and contract-grade.
• Define data quality rules and operationalize validation processes.
• Reconcile payer rosters and eligibility against claims data.
• Investigate data anomalies and document root causes.
• Maintain mapping and documentation with data engineering teams.
• Collaborate with providers and payers on data specifications.
• QA new data feeds for conformity to specifications.
• Contribute to data governance frameworks and audit trails.

Healthcare Data Quality Analyst

Data Analyst

• Build analytics products: Own the full Power BI lifecycle—data modeling, DAX, visuals, RLS, deployment, and documentation.
• Enable value-based care (VBC): Define and track measures (e.g., readmissions, avoidable ER/IP, adherence, risk acuity, PMPM/TCOC), attribution logic, and cohorting.
• Actuarial & contract performance analysis: Support actuarial-oriented analyses including PMPM + risk-adjusted cost modeling, benchmarking, savings reconciliation, trend analysis, and scenario modeling.
• Data wrangling & QA: Ingest, clean, validate, and reconcile claims, eligibility, EMR, and care-management data.
• Performance tracking: Build scorecards and drill-downs for executives, clinicians, care teams, actuarial partners, and payer counterparts.
• Operationalize insights: Create recurring datasets, alerts, and self-service dashboards; document metric definitions, lineage, and reconciliation rules.
• Governance & compliance: Uphold HIPAA/privacy requirements and contribute to data quality standards.
• Ad-hoc analysis: Run cohort analyses, payer/provider comparisons, utilization analysis, risk-adjusted benchmarking, leakage patterns, and trend studies.

Medical Data Analyst – Actuarial Analyst

Marketing

• Play a key role in strengthening and scaling marketing operations
• Ensure data accuracy, campaign success, and consistency in content execution
• Collaborate closely with marketing leaders, designers, and external partners
• Enable lead generation, campaign execution, website updates, and internal tracking
• Contribute meaningfully to measurable marketing impact solutions
• Bring structure to complexity and take ownership of execution

Marketing Associate

Product Designer

• Collaborate with team members across a variety of product and engineering roles to develop and design new software interfaces
• Work spans all stages of development from product discovery through wireframing, prototyping, usability testing, and iteration
• May include work on internal design projects for brand development and marketing purposes