Senior Manager, Data Engineer, Clinical Operations

Description

The company's staff often ask who they are working for, a question that drives collaboration, ownership and a sense of urgency. The company develops new medicines for serious diseases and offers interesting work, room to grow, inclusion, wellbeing and flexibility, plus broad benefits.

This senior manager role supports the wider Data Engineering community in building cutting-edge data and analytics platforms for the Global Drug Development Patient and Site Engagement and Feasibility and Forecasting area.

The role covers the full data product lifecycle: ingesting, storing, processing, governing and using data. You will work with BI&T partners, business analysts, data engineers, clinical operations specialists, trial managers and other domain experts to support data initiatives and improve the company's data ecosystem. You will also apply Generative AI, Databricks and semantic technologies to improve the platforms.

Responsibilities

• Support cross-functional teams on AI and data work across clinical trial operations product lines, moving critical programs forward in a lean, high-impact setting.
• Build and improve data solutions that speed up clinical R&D data use, with strong reliability, interoperability with consumer applications and scalability.
• Work with BI&T partners, clinical study teams, trial analysts, trial managers, clinical operations leads, domain experts and data engineering, product and operations leaders to drive adoption of the Data Platform.
• Work with business and data product owners on product development, standardization, testing, lineage, latency targets and access governance for clinical trial data.
• Tune the data platform for performance, scale, interoperability, availability and cost using cloud-native parallel processing, Delta Lake, caching and partitioning.
• Use Unity Catalog to enforce governance, manage metadata and keep end-to-end lineage for clinical trial data products.
• Help build self-service data discovery tools that make clinical trial operational data easier to find, access and reuse.
• Document processes and structures, share knowledge, and give clear technical recommendations that you can carry out across the enterprise.
• Build and deploy GenAI and NLP applications that produce measurable results in clinical trial operations, such as efficiency, faster timelines, lower risk and automated compliance.
• Work with data product owners, engineers and data scientists to build and run cloud-based GenAI and LLM applications using RAG, fine-tuning and vector embeddings for data discovery and use in clinical operations.
• Track trends in GenAI, RAG, semantic search, Databricks, cloud orchestration and containerization, and apply good practices that improve platform performance, scale and cost.
• Guide and mentor junior analysts, interns and vendor staff on Databricks, technical practice and business alignment, supporting ongoing learning.

Requirements

• At least 7 years across data engineering, analytics and AI/ML, including hands-on work building and running data solutions in the cloud.
• Strong stakeholder engagement and communication skills, with the ability to win support and drive adoption across functional teams.
• Knowledge of clinical trial delivery, including feasibility, site selection, forecasting and trial execution, is a strong plus.
• Hands-on skill with Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, Mosaic AI and MLflow. A Databricks certification, such as Certified Data Engineer Associate or Professional, is a strong plus.
• Proven ability with cloud-native data platforms, ETL and ELT pipeline design, data modeling and semantic analytics on large, complex datasets, plus hands-on DevOps experience.
• Strong Python, SQL and Spark skills, including PySpark on Databricks, and experience with GenAI frameworks. Hands-on work with LLM architectures, RAG, prompt engineering and agentic frameworks is required.
• Experience designing and maintaining data pipeline architecture for large, complex datasets, including semantic modeling within a domain. Life sciences or clinical trial operations experience is preferred.
• Track record of delivering production-grade GenAI applications, predictive models and self-service analytics that support critical clinical business functions.
• Working knowledge of LLM and GenAI methods, including RAG, Chain-of-Thought, fine-tuning, vectorization, agentic frameworks and prompt engineering for more accurate LLM responses.
• Commitment to engineering quality, documentation and process improvement. Functional knowledge of life sciences R&D and clinical trial operations is highly preferred.
• Familiarity with clinical trial management systems such as Veeva Vault, Medidata Rave and IRT, and their underlying data structures.
• The company hires for skills and capabilities, not only credentials. If the role interests you but your resume does not match perfectly, you are encouraged to apply.

Conditions

Princeton, NJ, US: $153,770 to $186,327 starting pay for full-time employees. Eligibility for discretionary incentive cash and stock may also apply.

Pay is set by the nature of the role, required skills, work location, schedule and your experience, and follows pay equity principles and applicable employment laws. Pay programs are reviewed regularly and may change with market conditions and individual, team or company performance.

Roles fall into one of four work models: site-essential, site-by-design, field-based or remote-by-design. This role's model depends on its core responsibilities.

The company welcomes applicants with disabilities and provides reasonable accommodations during recruitment. Requests can be made before a job offer is accepted by contacting.

The company considers qualified applicants with arrest and conviction records in line with applicable law. Location-specific notices apply to Los Angeles County and Washington State roles.

The company never asks for payments, financial information or social security numbers during recruitment. Application status is checked through the Candidate Home Account.

Benefits

• Eligible employees can join comprehensive benefit plans covering wellbeing support, retirement and financial protection, and insurance for medical, dental, vision, life and disability, subject to plan terms.
• US-based exempt employees get Flexible Time Off with no set accrual limit, subject to manager approval, plus 11 paid company holidays a year.
• Non-exempt employees, RayzeBio employees and employees in Puerto Rico get 160 hours of paid vacation for new hires each year, subject to manager approval, 11 paid company holidays and 3 optional holidays.
• Depending on eligibility, employees may get paid sick leave, up to 2 paid volunteer days a year, summer hours flexibility and leave for medical, personal, parental, caregiver, bereavement or military reasons. Eligible employees also get a yearly Global Shutdown from Christmas Day to New Year's Day.
• US-based job seekers can find the full benefits details on the company careers site.