• Analyze clinical trial data and support the statistical analysis process to ensure high-quality results. • Lead on statistical programming tasks requiring technical depth, with a focus on quality and continuous improvement. • Develop and validate SAS programs for statistical analysis and reporting of clinical trial data. • Collaborate with biostatisticians to define analysis plans and statistical methods to be applied to clinical data. • Perform quality control checks on statistical outputs and ensure accuracy and consistency in reporting. • Assist in the preparation of statistical reports, presentations, and publications for regulatory submissions. • Contribute to process improvements by identifying efficiencies in programming practices and methodologies.

Role Description The mission of the Senior Software Engineer is to architect and deliver high-quality, reliable solutions to Curology’s most critical technical challenges—playing a central role in evolving our platform from a monolithic system into a scalable constellation of microservices. Reporting to the Senior Engineering Manager, this role spans both patient-facing applications and internal tools that support business scale. Success requires the judgment to move quickly without sacrificing quality, the rigor to own outcomes end-to-end, and the technical leadership to raise the bar for the engineers around you. The ideal candidate ramps fast, contributes to production code early, and brings deep backend expertise paired with the curiosity to operate across the stack. Essential Functions and Impact Areas - Platform Migration & Architecture - Lead the migration of services from our monolithic codebase to a distributed microservices architecture—designing for scalability, reliability, and long-term maintainability. - Design and build microservices that integrate cleanly into our broader distributed system, with strong attention to observability and fault tolerance. - Apply sound architectural patterns across APIs, database schemas, and event-driven systems—making decisions that won’t box the team in as we scale. - Anticipate where architectural decisions create downstream risk, raise them early, and bring a concrete path forward. - Engineering Execution & Delivery - Deliver production-ready code at a high cadence—contributing meaningfully within the first 30 days and sustaining that pace as scope grows. - Write advanced, adaptable code that captures the core essence of the solution and holds up as requirements evolve. - Identify and resolve production issues—individually or as part of a team—and take technical ownership of the health of systems you touch. - Distinguish reversible from irreversible decisions and act accordingly: move fast where it’s safe to, slow down where it matters. - Cross-Functional Partnership - Serve as a technical partner in cross-functional settings—representing the engineering perspective to technical and non-technical audiences with clarity. - Work collaboratively with product, design, and data science to ship solutions that meet patient and business needs. - Communicate progress, blockers, and risks proactively—not at the deadline. - Mentorship & Technical Standards - Mentor and coach mid-level and senior engineers—helping them grow their craft through direct feedback, pairing, and code review. - Role model high technical, cultural, and process standards: quality is the baseline, not the goal. - Continuously build and share domain expertise—turning what you learn into leverage for the team. - AI-Augmented Engineering - Actively use AI tools (e.g., ChatGPT, Claude, Gemini) to accelerate design, code generation, debugging, and documentation—with a clear point of view on where AI helps and where human judgment is non-negotiable. - Review AI-generated outputs critically before acting on them—take personal accountability for everything you ship, regardless of how it was produced. - Share what’s working and what isn’t with your team—AI fluency grows collectively, not just individually. Qualifications - 5–7+ years of experience in a full-stack, frontend, or backend software engineering role delivering production-ready code (majority backend; full-stack a strong plus). - Hands-on experience designing, building, and operating microservices in a production distributed system. - Hands-on experience with AWS infrastructure and/or DevOps-related tasks. - Strong programming skills in TypeScript/Node.js, Python, SQL, JavaScript, and React (or similar modern front-end frameworks). - Experience with architectural patterns of large, high-scale applications, including well-designed APIs, database schemas, and event-driven architectures. - Working knowledge of both relational (e.g., MySQL/PostgreSQL) and NoSQL databases. - Experience working collaboratively with cross-functional teams including design, product, and data science. - Proficiency with automated testing, continuous integration, and modern engineering workflow practices. - Builder mindset: hands-on, willing to jump in, explore the unknown, and make things happen on ambiguous, fast-moving projects. - Demonstrated AI fluency: hands-on experience using enterprise AI tools in your engineering workflow to accelerate design, code generation, code review, debugging, and documentation. - Strong judgment in AI-assisted work: a track record of critically reviewing AI-generated outputs before acting on them, and a clear point of view on where AI augments engineering versus where human oversight is non-negotiable. Requirements - Preferred: - Experience with contract testing (Pact or similar) across service boundaries. - Experience in HIPAA-regulated environments with PHI handling requirements. - Familiarity with saga patterns, Step Functions, or orchestration testing. - Experience with service-oriented or microservices architectures. - Experience coordinating manual QA, including offshore teams. - Nice to have: - Familiarity with AWS-native tooling (EventBridge, SQS, Lambda, Step Functions). - Experience testing e-commerce platforms. - Exposure to testing subscription billing or payment processor integrations. - Experience with observability tooling as part of a quality strategy. - Familiarity with feature flag testing strategies (LaunchDarkly or similar). - Exposure to mobile testing surfaces (iOS/Android) in addition to web. Benefits - 💰 Competitive compensation and equity package (RSUs). - 🥼 Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k). - 🧘🏻‍♀️ Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program. - 🌴 Flexible paid time off and holiday policy. - 🐣 Paid parental leave (birthing and non-birthing parents). - 💜 Employee donation matching program. - 🫱🏻‍🫲🏽 Culture Committee and employee resource groups for virtual and in-person connectivity. - ✨ Complimentary VIP Subscription to Curology or Agency, plus online retail discount. Company Description Curology’s mission is to make effective, personalized skincare accessible. We were founded by dermatologists who believe everyone should have access to skincare products that actually work. Today, our licensed dermatology providers have helped millions of patients across all 50 states make that mission a reality.

Role Description Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes: - Developing the physical operators for data retrieval and manipulation - Improving the runtime for complex analytical and transactional workloads - Owning critical components such as our new execution engine In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Qualifications - 10+ years of hands-on, professional experience in query engine development or database internals - Experience with building production-level code with a large user base, robust design structure and rigorous code quality - Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture - Experience with large code bases written in C++ or another systems programming language - Proven track record of technical leadership: demonstrated ability to define and drive roadmaps for a component over the medium term - Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain Requirements - Play a key role in defining the 12-month roadmap for Query Execution by researching state-of-the-art systems and leveraging your deep knowledge of industry trends to provide technical vision and direction - Take direct responsibility for delivering on long-term (6-18 month) goals to innovate in high-performance query execution and other areas of responsibility - Advise management on key decisions related to our architecture and processes, and collaborate with stakeholders across the company on large initiatives - Influence and grow team members through active mentoring, coaching, and leading by example Success Measures - In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series - In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features - In twelve months, you have contributed to the long-term technical roadmap of the MongoDB Query team by directly owning and driving a component level roadmap Benefits - Equity - Participation in the employee stock purchase program - Flexible paid time off - 20 weeks fully-paid gender-neutral parental leave - Fertility and adoption assistance - 401(k) plan - Mental health counseling - Access to transgender-inclusive health insurance coverage - Health benefits offerings Company Description MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone.

Role Description The Director of AI Engineering leads the strategy, design, and implementation of advanced artificial intelligence solutions across the organization. This role oversees teams responsible for building scalable AI models, integrating machine learning into products, and ensuring ethical and compliant AI practices. The director collaborates with product, data, and engineering leaders to drive innovation, optimize performance, and deliver AI capabilities that enhance customer experience and business outcomes. This role will lead a team of approximately 25+ engineers and manage engineering delivery of several products. Digital Product and Platform Leadership: - Lead the full product lifecycle: strategy, prioritization, development, deployment, and evolution. - Ensure alignment between business strategy, clinical operations, and end-user needs. - Apply Agile methodologies to deliver scalable, high-impact digital solutions. - Translate user insights into actionable roadmaps that shape clinical and consumer-facing platforms. - Familiarity with regulatory standards (e.g., HIPAA, WCAG), especially in healthcare settings. Experience Design and Research: - Champion a culture of user-centricity and evidence-based decision-making. - Lead persona development, journey mapping, and usability testing efforts. - Oversee the execution and maturation of experience design research methodologies, tools, and process standardization. - Apply service design principles to identify friction points and inform optimization strategies. Design Systems and Content Strategy: - Oversee governance and scalability of enterprise-wide design systems and UX standards. - Drive creation and maintenance of reusable UI components, accessibility standards, and brand guidelines. - Collaborate with engineers and designers to ensure a consistent and inclusive digital presence. - Develop content strategy frameworks to support institutional communication and engagement. Information Security Leadership: - Partner with technical teams and compliance leaders to guide cybersecurity priorities. - Provide governance for enterprise information security policies and tools. - Support incident response and risk mitigation activities with tactical leadership. - Promote a culture of data stewardship, awareness, and proactive threat response. Team Leadership and Organizational Development: - Track record of innovation in complex, matrixed environments. - Demonstrated ability to navigate ambiguity and lead through change. - Build and nurture high-performing, diverse teams across geographies and disciplines. - Mentor and develop team members, instilling accountability and innovation. - Establish measurable goals, support professional development, and promote collaboration. - Drive operational excellence through structure, planning, and transparency. Qualifications - Deep understanding of machine learning algorithms, supervised/unsupervised learning, and reinforcement learning. - Expertise in deep learning architectures (CNNs, RNNs, Transformers). - Strong grasp of natural language processing (NLP), computer vision, and recommendation systems. - Familiarity with model versioning and continuous training pipelines. - Advanced skills in Python and libraries like TensorFlow, PyTorch, Scikit-learn. - Knowledge of distributed computing frameworks (Spark, Ray, etc.). - Hands-on experience with cloud AI services (AWS SageMaker, Azure ML, GCP AI Platform). - Knowledge of Generative AI (LLMs, diffusion models). - Familiarity with edge AI and real-time inference. - Experience with AI compliance frameworks and model interpretability tools (SHAP, LIME). - Knowledge of AI ethics, bias mitigation, and explainability. - Familiarity with privacy regulations (GDPR, CCPA) and secure data handling. Leadership & Strategic Skills - Experience in building and scaling AI engineering teams. - Strong stakeholder management and ability to translate complex AI concepts into business value. - Vendor evaluation and partnerships with AI technology providers. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future.