About the job

Mainz, Germany; Cambridge, US; Gaithersburg, US; Munich, Germany; New Jersey, US | full time | Job ID: 11756

About BioNTech:

BioNTech is a global next generation biopharmaceutical company pioneering novel investigative therapies for cancer and other serious diseases. In oncology, BioNTech is committed to transforming how cancer is treated. Its ambition is to develop innovative medicines with pan-tumor or synergistic potential to address cancer from multiple angles and across the full continuum of the disease from early- to late-stage. Its growing late-stage oncology pipeline comprises complementary treatment approaches spanning immunomodulators, antibody drug conjugates, and mRNA cancer immunotherapies. BioNTech has partnered with multiple global and specialized pharmaceutical collaborators leveraging complementary expertise and resources to accelerate innovation and drive progress, including Bristol Myers Squibb, Duality Biologics, Genentech, a member of the Roche Group, Genmab, MediLink, OncoC4, and Pfizer.

About the Role:

As Clinical Data Integration Operations Lead, you will own and govern the end-to-end clinical data integration landscape across strategy, build, operations, and maintenance. You will be accountable for the performance and results of the Clinical Data Integration domain, setting integration standards, priorities, operating models, and investment trade-offs. In this role, you will establish governance frameworks and performance measures that enable sustainable business value across Clinical R&D. You will contribute to the broader DD&I / GDO data strategy, ensuring that integration capabilities, technology investments, and operational priorities align with enterprise data objectives.

Your Contribution:

Govern the full clinical data integration lifecycle across strategy, build, run, and maintenance, ensuring solutions are scalable, controlled, compliant, and fit for purpose
Define and maintain the integration governance strategy, frameworks, operating standards, and key performance indicators to monitor integration health, delivery performance, operational stability, and stakeholder value
Lead Clinical Data Integration operations, including budget planning, resource allocation, capacity management, and investment prioritization across internal and external resources
Establish the operating model, service-level agreements, and escalation thresholds for pipeline delivery and incident management
Oversee day-to-day pipeline execution, operational monitoring, and service-level adherence to ensure reliable processing, timely data availability, and proactive management of delivery risks
Lead the resolution of incidents, data-quality issues, and reconciliation activities, coordinating root-cause analyses, corrective and preventive actions, and impact assessments across technical and business teams
Coordinate cross-functionally with process owners, enterprise architects, data engineers, platform teams, vendors, and business stakeholders to align priorities and resolve dependencies
Drive the onboarding of new integrations, including requirements assessment, source-to-target clarification, readiness coordination, validation, operational-support planning, and transition into steady-state operations
Identify and deliver continuous-improvement and automation opportunities by standardizing repeatable processes, strengthening monitoring, and reducing manual intervention
Ensure integration activities comply with GxP, CSV, SDLC, data-privacy, and quality-management requirements, including validation evidence, change controls, documentation, and audit readiness
Maintain accurate technical specifications, operational runbooks, data-flow diagrams, ownership records, and data-lineage artefacts
Contribute to the Clinical Data Integration and broader DD&I / GDO data strategies, aligning capabilities and technology investments with enterprise objectives

A Good Match:

Bachelor’s degree or higher in a scientific discipline, such as computer science, information systems, engineering, mathematics, natural sciences, medical science, or biomedical science, combined with relevant professional experience
10-15 years of professional experience, including at least 5 years in Clinical Data Integration or Data Operations
Experience governing the end-to-end data integration lifecycle, including build, run, and maintenance activities
Strong understanding of Clinical R&D processes and clinical systems, such as EDC, CTMS, eTMF, and project-management systems
Demonstrated experience with GxP, computer system validation, CSV, SDLC, data privacy, and quality-management requirements
Strong knowledge of modern data-integration patterns, including ETL/ELT pipelines, API-based integrations, batch and event-driven data movement, source-to-target mapping, error handling, and operational monitoring
Hands-on knowledge of Databricks and AWS capabilities, including scalable data processing, cloud storage, workflow orchestration, security controls, performance optimisation, and production support
Experience with data modelling, metadata management, data lineage, and data-quality practices as well with Spotfire and/or Power BI
Proven ability to translate business, clinical operations, and regulatory requirements into scalable technical solutions
Experience supporting Clinical R&D implementation projects from requirements clarification and solution design through validation, go-live, hypercare, and stable operational support
Experience with vendor management and operational support, strong stakeholder-management, written, and verbal communication skills, with the ability to engage technical and non-technical audiences effectively
Ability to work independently and collaboratively in a multidisciplinary, matrix environment
Ability to prioritise work based on user needs, business value, and return on investment, while managing change effectively

Your benefits and remuneration:

If the position is filled in the US, the Expected Pay Range is $168,100/year to $268,700/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.

Compensation at other locations may vary significantly.

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.

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.

How to apply:

Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.

Please note:

Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider ‘HireRight’. You will be informed accordingly by your BioNTech-Recruiter.

We are looking forward receiving your application.

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Responsibilities