OneStudyTeam

Software Engineer

• Delivery & Roadmap Execution: Own the tactical execution of the engineering roadmap. Partner with Product and Design to break down product requirements into clear milestones, ensuring the team consistently ships high-quality software on time.
• Hands-on Architectural Guidance: Unblock engineering teams by participating in technical design reviews. Ensure the team builds a stable, scalable platform that successfully ingests and processes complex clinical trial data sources without technical debt.
• Feature & Tooling Implementation: Drive the day-to-day development of predictive models and analytics tools. Work directly with data and software engineers to ensure these tools accurately surface trial bottlenecks and function reliably for end-user.
• Sprint & Resource Management: Manage sprint capacity, budget tracking, and day-to-day resource allocation. Balance technical debt with feature delivery to maximize engineering velocity and keep data collection timelines on track.
• Agile Process Optimization: Run, refine, and optimize the agile ceremonies and development workflows within your department. Identify and eliminate operational friction to improve the team's daily shipping cadence.
• Line Management & Career Mentorship: Manage Engineering Managers and Tech Leads directly. Conduct regular 1-on-1s, deliver performance reviews, write career growth plans, and actively interview and onboard new engineering hires.
• Team Health & Collaboration: Maintain a high-performing, inclusive team culture. Resolve interpersonal or cross-team friction and ensure clear communication boundaries between engineering squads.
• Cross-Functional Execution: Serve as the primary technical point of contact for project stakeholders. Translate technical blockers, updates, and risks into clear operational timelines for non-technical partners.

Director, Engineering

Product Operations

• Requirements Definition & Backlog Management: Deliver the Core Artifacts, Maintain the Backlog, Roadmap Slicing.
• Feature Validation & QA Coordination: Functional Validation, Defect Triage, UAT Support.
• Release Tracking & Communication: Schedule Ownership, Stakeholder Updates, Rollout Preparation, Cross-Team Communication.
• Compliance & Operational Metrics: GxP Alignment, Performance Monitoring.

Product Operations Lead

Sales

• Sales Strategy and Proposal Development: Serve as partner and advisor to Account Executives to produce high caliber proposals, optimized pricing, and appropriate deal structures. Articulate customer value as a natural component of Reify Health’s solutions. Support a range of opportunities ranging from single-study projects to multi-product enterprise agreements.
• Value Engineering: Be the architect of financial success stories. Conduct deep-dive value analyses to quantify cost savings and efficiency gains, translating complex data into compelling narratives that resonate with customers.
• Contract Development: In partnership with sales leaders, legal, and other stakeholders, translate proposals into formal contracts. Support customer negotiations with creative problem solving.
• Pricing: Develop and enhance pricing models for a range of software and services offerings. Quantitatively analyze the impact of pricing and bundling strategies.
• Go-to-market strategy: Research and analyze market data to inform broad planning and customer engagement. Use creative problem solving to translate product strategy into GTM motions in partnership with sales and executive leadership.
• Client Relationships: Participate in client meetings across discovery, proposal, and delivery stages. The role includes both direct relationship building and supporting others across sales and delivery.

Director, Sales Strategy – Value

Security Analyst

• Lead and support customer security audits, responding to security questionnaires and demonstrating compliance with security frameworks.
• Prepare, coordinate, and manage ISO 27001 audits, including evidence collection, control implementation, and auditor engagement.
• Ensure ongoing compliance with HIPAA, NIST CSF, and other regulatory requirements applicable to healthcare data security.
• Develop and maintain policies, procedures, and security documentation to meet regulatory and contractual obligations.
• Perform gap analyses and risk assessments to identify and remediate compliance risks.
• Manage and improve security governance frameworks, ensuring alignment with industry best practices and business objectives.
• Conduct third-party vendor risk assessments, ensuring compliance with security policies and contractual obligations.
• Monitor security controls, ensuring effectiveness and continuous improvement in alignment with security frameworks.
• Support security awareness training initiatives, ensuring employees understand compliance responsibilities.
• Stay current on ISO 27001, HIPAA, NIST 800-53, and other relevant standards, translating them into actionable security controls.
• Assist in defining security metrics and reporting on compliance status and risk posture to leadership.
• Work closely with legal, security, IT, and business teams to align compliance requirements with security operations.

Senior Security Compliance Analyst

Security Engineer

• Lead and manage the GRC and Security Engineering teams, including strategy, objectives, staffing, coaching, and performance management.
• Own governance, risk, and compliance programs. Maintain ISO 27001 and related controls. Drive audit readiness for HIPAA and other frameworks. Coordinate policy lifecycle management and control testing.
• Run vendor assessment and qualification program. Oversee third party risk management, due diligence, contractual security requirements, and continuous monitoring.
• Provide AI related security assessments and guidance. Establish acceptable use guardrails for AI, assess model and data risks, and advise on controls for AI enabled solutions.
• Oversee security architecture for cloud environments and enterprise platforms. Partner with engineering on secure design for AWS, Azure, identity, network, and data protection.
• Direct security engineering operations. Manage EDR and threat detection with CrowdStrike, SIEM operations, CSPM posture management, vulnerability management, and SOAR automation.
• Lead incident response readiness and execution. Run tabletop exercises, coordinate investigations, and deliver root cause and lessons learned.
• Own and manage security budgets, multiyear planning, vendor contracts, and cost optimization while meeting control objectives.
• Report program status and risk posture to executives and the board. Define and track KPIs and KRIs. Communicate clearly with technical and non technical stakeholders.
• Establish and enforce secure software development practices and SDLC controls with engineering leadership.
• Maintain a current security roadmap and maturity plan aligned to business priorities.
• Oversee metrics, dashboards, and reporting for program performance and risk reduction.
• Coordinate with Legal, Privacy, and Compliance on regulatory obligations and customer security assessments.
• Champion security awareness training and culture, sponsor targeted training for engineering and high risk roles.
• Evaluate, select, and manage strategic security vendors and platforms, drive successful implementations and integrations.
• Represent security in customer meetings and due diligence, provide credible technical and compliance answers.

Director of Security

Machine Learning Engineer

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
• Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.
• Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform.
• Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI and proactively bring new ideas to the team.

Senior Machine Learning Engineer

Data Scientist

• Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites.
• Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion.
• Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making.
• Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant.
• Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment.
• Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling.
• Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations.

Senior Data Scientist

Operations

• Deliver the Core Artifacts: Write clear business requirements, user stories, acceptance criteria, and functional specifications.
• Maintain the Backlog: Prioritize, refine, and sequence the product backlog in close coordination with product, engineering, and business stakeholders.
• Roadmap Slicing: Convert high-level roadmap items into smaller, practical delivery milestones and value slices.
• Functional Validation: Validate newly developed features against initial requirements and expected system behavior before release.
• Defect Triage: Review QA findings to determine whether issues are system defects, requirement gaps, or usability concerns.
• UAT Support: Coordinate User Acceptance Testing (UAT) and consolidate feedback from business users and clients.
• Schedule Ownership: Track product delivery schedules, release readiness, risks, blockers, and open functional decisions.
• Stakeholder Updates: Provide regular delivery updates and support internal or executive presentations regarding release progress and tradeoffs.
• Rollout Preparation: Support Go-To-Market (GTM) efforts by preparing customer facing release notes, documentation, and feature limitation communications.
• GxP Alignment: Ensure requirements and final release packages adhere to GxP compliance standards, validation protocols, and audit-readiness in a regulated healthcare software environment. Partnering with Compliance and Quality teams to drive automation to make this process as efficient as possible.
• Performance Monitoring: Track and summarize adoption metrics, usage statistics, and product KPIs to inform future feature prioritization.

Production Operations Lead

• As a Senior Engineering Manager you may be expected to code, however, you will still be reviewing code and ensuring our engineers are making good design decisions.
• Drive and review technical designs, ensuring solutions are scalable, reliable, secure, and aligned with long-term platform goals.
• Lead a constantly improving agile engineering process. You must have a strong sense of ownership for your deliverables and milestones.
• Help product feature teams to accelerate product feature development by building capabilities that simplify OneStudyTeam architecture and by reducing technical debt.
• Ensure the team delivers consistently and predictably through effective planning, prioritization, and stakeholder communication.
• Manage, mentor, and grow a team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement.
• Recruit and hire engineers consistent with organizational values.
• Manage an engineering team of up to 5 engineers.
• Experience with our stack is not required. We use: ReactJS, Javascript, Typescript, Clojure, AWS, Postgres, Kafka, Terraform, Kubernetes, Docker and Git.