Associate Director Data, Digital & Informatics (Senior Data Engineer)

BioNTech

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About The Position

As an Associate Director, Senior Data Engineer (Clinical & Non-Clinical), you will shape, deliver, and maintain enterprise‑grade data engineering solutions that power analytical, scientific, clinical, and operational decision‑making across the company. You will combine deep technical expertise with architectural leadership, building scalable, robust pipelines on Databricks and AWS, and ensuring compliant ingestion, transformation, and harmonization of data across clinical and non‑clinical domains throughout the R&D lifecycle.

You will work in a collaborative, multidisciplinary environment, partnering with colleagues from diverse backgrounds and disciplines. Your work will help make data more accessible, reliable, and usable for teams across the organization, supporting inclusive decision‑making and better outcomes for patients.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, a related field, or equivalent practical experience
• 6 to 10+ years of data engineering experience (Senior Data Engineer/Associate Director) with production‑grade data pipelines and large‑scale distributed systems
• 2 to 6+ years of experience with Databricks and AWS, plus ETL/ELT tools and cloud data lake/warehouse solutions
• Experience in biotech/pharma regulated or complex scientific environments, including GxP/CSV and data governance (privacy, data ethics)
• Strong SQL, PySpark, and Python skills; proficiency with SAS and R; experience with CI/CD, DevOps (GitHub), infra‑automation (Terraform), data modeling, metadata management, and data quality frameworks
• Hands‑on experience with clinical data standards and systems (CDISC, EDC, CTMS, IRT, Rave, biosample systems, BRIMS, PV, MDM) and data masking/blinded-unblinded workflows
• Familiarity with ML/AI workloads and model‑ready data engineering; experience across translational science, clinical development, safety, regulatory, and real-world evidence domains
• Experience working with CROs and external vendors; strong analytical, problem‑solving, communication, and cross‑functional partnership skills
• A customer‑oriented and agile mindset, with the ability to manage competing priorities and to work effectively with people from diverse disciplines, cultures, and backgrounds

Responsibilities

• Design, build, maintain, and optimize scalable, secure, and resilient data pipelines using Spark, Databricks, Delta Lake, and AWS
• Support data flow across clinical systems (EDC, CTMS, IRT, Rave, biosample systems, BRIMS, PV, MDM) and build transformations aligned with CDISC standards (CDASH, ODM, SDTM, ADaM)
• Implement frameworks for data quality, testing, monitoring, and performance optimization; perform clinical data cleaning, reconciliation, validation, and QC
• Partner with Platform, Cloud, and DevOps teams to evolve the clinical data platform; own CI/CD automation, infrastructure as code, observability, lineage, and pipelines monitoring
• Lead complex cross‑functional data engineering initiatives, serving as a senior engineering leader and mentoring engineers on best practices, coding standards, automation, and reproducibility
• Integrate data across R&D lifecycle domains (translational science, clinical development, safety, regulatory, real‑world evidence), including API‑based ingestion (REST, GraphQL) and metadata management
• Collaborate with cross‑functional teams (QA, Data Analysts, Data Scientists, Cloud Ops, Biostats, Clinical Ops), CROs, and external vendors, fostering an open, respectful, and inclusive team culture
• Engage with governance, compliance, and security to ensure GxP, CSV, FAIR, privacy, and data ethics alignment
• Build and maintain data models, specifications, mapping documents, and QC documentation, contributing to enterprise data strategies and architecture roadmaps

Benefits

• BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base.
• We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate’s qualifications and experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level