About this role
Position Description Summary
Responsible for defining, implementing, and maintaining data standards and governance frameworks across research and laboratory environments. This role ensures high-quality, interoperable, and FAIR (Findable, Accessible, Interoperable, Reusable) data to support scientific discovery, digital innovation, and regulatory readiness. This role has accountability across the R&D and the Technical Operations teams to ensure that data enables the R&D Submission and the Technology Transfer cycle time and milestone targets. In addition, this role has accountability for working with the Search team to identify opportunities and obstacles in external collaborations and acquisitions.
Main Responsibilities & Accountabilities
Develop and maintain data standards for research and lab-generated data, such as assay data, instrument outputs, and metadata, ensuring consistency across platforms and teams
Establish governance frameworks to ensure consistent data capture, annotation, and integration across digital systems (e.g., ELNs, LIMS, data lakes)
Collaborate with scientists, lab managers, IT, and data stewards to embed data standards into lab workflows and digital systems, supporting seamless data integration and usage
Monitor compliance with established data standards, identifying opportunities for improvement and driving continuous quality enhancements
Represent the organization in external data standards bodies and consortia (e.g., Allotrope, FAIR sharing, Pistoia Alliance) to ensure alignment with global data standards and best practices
Support data quality, lineage, and traceability efforts, enabling the use of data for advanced analytics, AI/ML applications, and regulatory submissions
Provide training, guidance, and support to internal teams on data standards, ontologies, and governance best practices to ensure consistent adoption across the organization
Qualifications & Experience Requirements
- Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Data Science, or a related field
- 12+ years of experience in research data management, lab informatics, or data governance
- Must have experience working within Research and Life sciences
- Strong knowledge of scientific data standards (e.g., Allotrope, AnIML, ISA-Tab), ontologies (e.g., OBI, ChEBI), and metadata frameworks
- Must have sound experience working within a AI digital strategy team setting
- Experience with lab systems (e.g., ELN, LIMS, CDS) and data integration platforms
- Excellent communication, stakeholder engagement, and documentation skills, with the ability to influence and guide teams on data governance best practices
About CSL Behring
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.
CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/.
Our Benefits
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL.
You Belong at CSL
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging
Equal Opportunity Employer
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement.
Other facts
About CSL
CSL Plasma is one of the world’s largest collectors of human plasma. We are committed to excellence and innovation in everything we do. Our work ensures that tens of thousands of people with rare and serious diseases are able to live normal, healthy lives. We are committed to our work because people’s lives depend on us. See our community guidelines: https://bit.ly/2IApjpz.
Supported by parent company CSL Behring, the global leader in plasma protein biotherapeutics, CSL Plasma has more than 280 plasma collection centers globally. CSL Plasma also has a state-of-the-art testing laboratory that features some of the most advanced technology, instrumentation and automation in the field; two logistics centers, one in Dallas and one in Indianapolis. Our corporate headquarters in Boca Raton, Florida.
Our U.S. plasma collection centers are committed to the highest standards of quality and safety. When you donate, you give a valuable gift to those who require plasma-derived therapies to live healthier lives.
The CSL Group has a combined heritage of outstanding contribution to medicine and human health with more than 100 years experience in the development and manufacture of vaccines and plasma protein biotherapies.
With major facilities in Australia, Germany, Switzerland and the US, CSL has over 30,000 employees working in more than 35 countries. See our community guidelines: https://bit.ly/3QZbZeZ
What you'll do
- The Director is responsible for defining and implementing data standards and governance frameworks across research and laboratory environments. This includes ensuring high-quality, interoperable data to support scientific discovery and regulatory readiness.
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