• Deliver production-ready datasets and pipelines to support data science and analytics. • Bridge the gap between ML experimentation and deployment with MLOps best practices. • Build and deploy data-driven applications using Azure services. • Maximize ROI on Azure investment through cloud-native architecture. • Standardize development workflows using GitHub (version control, pull requests, CI/CD). • Automate deployments and accelerate engineering velocity with GitHub Actions. • Reduce bottlenecks for analysts, engineers, and data scientists by improving data accessibility and workflow efficiency. • Enhance data quality, governance, and observability. • Enable future capabilities such as AI, automation, and personalization.

Role Description Assists with safety, pharmacovigilance and regulatory activities including (but not limited to): - Medical Dictionary for Regulatory Activities (MedDRA) coding - Data management activities which includes cleaning and validation of data - xEVMPD product dictionary - Substances, Products, Organizations and Referential (SPOR) / Identification of Medicinal Products (IDMP) data cleansing - Data mapping, data enrichment and data validation activities All activities must adhere to: - Data privacy guidelines - Good Clinical Practice (GCP) - Good Pharmacovigilance Practice (GVP) - Regulatory guidelines - Company and project/program-specific procedures for clinical trials and/or post-marketing safety programs The processing of information may include: - Filtering - Cleansing - Migrating - Analyzing - Reporting - Filing or publication of data and information Qualifications - Bachelor’s degree in scientific field (Life Sciences degree) - 2+ years in scientific/clinical research background with experience in Data handling/Data validation/Regulatory processes - English fluency to collaborate with regional and global teams Requirements - Review existing system data against reference sources - Identify discrepancies and update records per project regulatory guidelines - Analyze data based on BU reference standards - Focus on accurate processing and maintenance of structured data - Update incomplete fields - Create or submit missing information - General data entry and quality improvement Benefits - Passionate about developing our people through career development and progression - Supportive and engaged line management - Technical and therapeutic area training - Peer recognition and total rewards program - Commitment to building an inclusive culture

Role Description As a Software Engineer on our Data Platform team, you will drive the evolution of our identity data backbone, the systems every Lumos product depends on. You will be instrumental in building robust, scalable, and reliable platform software. You will play a key role in designing and operating the software that turns raw identity inputs into a trusted foundation for the product. We’re a startup that values ownership, curiosity, and trust—and we’re looking for engineers who love building platform infrastructure that enables teams to move faster while improving resilience and visibility. - Design, develop, and operate systems that transform high volumes of identity data from third-party integrations to product consumers with correctness, freshness, and operational rigor. - Build the shared primitives and interfaces (APIs, services, materialized models) that abstract raw identity data into the building blocks that power our products. - Contribute to the technical vision for a world-class data infrastructure that empowers engineering, product, and AI teams, enabling seamless access to high-quality data. - Establish SLOs, observability, and operational tooling that catch and remediate failures in identity data systems before they reach customers. - Promote and implement software engineering best practices for building scalable, reliable, and secure data-centric applications. Elevate the principles of software engineering within the data domain. Qualifications - 3-7 Years of experience as a backend or platform engineer building production data systems other teams depend on, either ingestion and sync pipelines (Dagster, Airflow, or comparable orchestration) or service layers in front of a transactional database (MySQL/Postgres) that abstract storage from internal consumers. - Strong backend development skills in Python, Go, or TypeScript, with a focus on clean API design, testability, and observability. - Strong instinct for data correctness, observability, and SLOs in systems where downstream products take action on the output. - Experience designing service or API interfaces over a transactional datastore (MySQL/Postgres) defining contracts that let producers and consumers evolve independently. - Familiarity with identity and access governance (IGA) data (e.g. identities, accounts, entitlements, group memberships) and how its correctness, freshness, and traceability shape downstream governance outcomes at scale. Benefits - Remote-first culture – Work from anywhere within ±4 hours of Pacific Time. - Medical, dental & vision insurance – 100% of premiums covered for employees, 60% for dependents. HSA and FSA available with employer contribution. International benefits align with local standards. - Mental health support – Access to mental health resources and support. - Monthly wellness stipend – A monthly stipend for gym memberships, fitness apps, and whatever helps you recharge. - Life & disability insurance – Life insurance, short-term disability, and long-term disability coverage available. - Flexible PTO – Flexible time off with a minimum annual requirement, because rest is part of doing your best work. - Parental leave – Up to 16 weeks of paid parental leave for expecting parents. - $1,000 annual learning stipend – An annual budget for courses, books, conferences, and certifications. - Company & team offsites – Company and team bonding trips throughout the year, fully covered by Lumos. - 401(k) with matching – Employer 401(k) matching to help you save for the future. Company Description Lumos is the industry's first Autonomous Identity Platform — software that doesn't just surface access risk, but acts on it. We started with a self-service AppStore and grew into the critical infrastructure connecting apps, identities, and data for GitHub, MongoDB, Mars, Pinterest, Anduril, Intercom, Roku, and Netskope. At the center is Albus, our AI agent for identity — mining roles, approving access, and catching the drift humans miss. Since launching out of stealth in April 2022, we've grown from 20 to ~130 Alchemists and raised over $65M from a16z, Scale, Neo, Greg Brockman (President at OpenAI), and Phil Venables (CISO at Google). Named a Strong Performer in the 2026 Gartner Voice of the Customer for IGA — 4.7/5, with 96% of reviewers saying they'd recommend us. Our customers cut time-to-access by 98%, slash IT tickets by 72%, and eliminate excess privilege at scale. Three years running on Forbes' Top 100 Best Startup Employers in America (2024, 2025, 2026) — measured on culture, retention, growth, and job creation.

Role Description As a Microsoft Fabric Data Engineer, you will design, build, and maintain scalable data pipelines and analytics solutions using Microsoft Fabric and Azure Data Services. You will collaborate with cross-functional teams to deliver high-quality, secure, and efficient data solutions that drive business intelligence and advanced analytics initiatives. Duties and Responsibilities - Design, develop, and maintain scalable, reliable, and efficient data pipelines using Microsoft Fabric and Azure Data Services. - Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insights. - Implement data ingestion, transformation, and integration workflows following best practices for security and performance. - Monitor, troubleshoot, and optimize data pipelines and analytics solutions to ensure high availability and accuracy. - Ensure data solutions comply with organizational data governance policies and industry regulations. - Document data architectures, processes, and workflows for operational transparency and knowledge sharing. - Stay current with Microsoft Fabric and Azure ecosystem updates and recommend improvements or new technologies. - Support the deployment and maintenance of business intelligence and reporting platforms. Qualifications - Proficiency with Microsoft Fabric and Azure Data Services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake). - Strong understanding of data engineering concepts including ETL/ELT processes, data pipeline architecture, and data integration. - Experience with SQL and programming languages such as Python or Scala for data manipulation. - Familiarity with cloud computing platforms and best practices for scalability and security. - Knowledge of data governance, data quality, and compliance standards. - Ability to work with business intelligence tools and understand analytics requirements. - Strong problem-solving skills and the ability to optimize performance in large data environments. - Excellent communication and collaboration skills for working with cross-functional teams. Requirements - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. - 3+ years of experience in data engineering, data architecture, or a similar role. - Proven experience working with Microsoft Fabric and Azure Data Services. - Strong programming skills in SQL and at least one language such as Python, Scala, or similar. - Experience designing and implementing complex data pipelines and ETL/ELT workflows. - Familiarity with cloud infrastructure, security best practices, and compliance standards. - Excellent analytical and problem-solving abilities. - Strong communication skills with the ability to collaborate effectively across technical and business teams. - Microsoft certifications such as Azure Data Engineer Associate or Microsoft Certified: Data Analyst Associate are a plus. Working Conditions and Physical Requirements - Reliable high-speed internet connection is required for all remote/hybrid positions. - Must have access to stable Wi-Fi with sufficient bandwidth to support video conferencing, cloud-based tools, and other online work-related activities. - A HIPAA-compliant work environment is required, including a secure workspace free from unauthorized access or interruptions, no use of public Wi-Fi unless connected through a secure company-provided VPN, and compliance with all applicable HIPAA privacy and security regulations.