Are you interested in working in a dynamic and evolving environment? Are you motivated by new challenges and comfortable with ambiguity? Do you want to contribute to the vision of personalised healthcare by influencing Roches’s strategy for data use and re-use?
Are you interested in a novel role where you have the opportunity to work across the Roche enterprise, consult and support teams wishing to access and re-use or externally share the many clinical trial data assets we have?
Do you have experience in data protection/privacy topics particularly as related to health/medical data or clinical trials?
If “yes”, then a Data Privacy Technical Lead role within the Biometrics Medical Data and Information Solutions (MDIS) organisation could be the place for you.
The Data Privacy Technical Lead provides expert leadership, strategic input and consultancy to the Roche organisation, in the area of patient level data (PLD) privacy and data de-identification / anonymisation. They have a deep understanding of the PLD privacy landscape and are able to translate these needs into practical/actionable strategies and deliverables for all external sharing of patient level data instigated across the enterprise.
This is an opportunity to own your career development and be actively encouraged and supported through continual learning opportunities (including courses, webinars and seminars, potential part-time study and rotations into related departments, attending relevant conferences, membership of industry/academic working groups etc.). In addition, as data re-use strategies evolve within MDIS, Biometrics and beyond, there may be opportunities for the role to expand into new areas depending on business needs and your interests.
If you are proud of contributing and feel you have the commitment to teamwork and innovation that we are seeking, then Roche is the organisation for you. In return we offer a competitive salary plus the excellent benefits you would expect from a blue-chip organisation, including a genuine interest in your development and progression.
● Data privacy landscape: Keeps up to date with the evolving data privacy landscape and works with relevant stakeholders to ensure that Biometrics’ (and beyond) processes and systems are compliant with these changes
● Promote data privacy concepts: Promote data privacy within PDB and answer privacy related questions. Support the PDB organisation to have a core understanding of the importance of data privacy and associated good data handling practices e.g. development and deployment of training materials and communications
● Data de-identification/ anonymization: Responsible for developing the patient level data de-identification/ anonymisation processes within Pharma Development Biometrics (PDB) performed on behalf of the Roche pharma organisation (e.g. clinical early development and PD). Strategic input to development of new capabilities/strategies and liaison to promote development of organisation wide solutions. Provides expert guidance and support to molecule teams regarding data privacy and data de-identification / anonymisation, including regular liaison with legal/data privacy functions.
● Company Reputation: Participation in cross-company interest groups and external meetings to help Roche be seen as an industry leader in PLD sharing (e.g Transcelerate, ‘PhUSE’, ‘EFSPI’). Develop a network of external experts working in the data sharing/data privacy area.
Required Technical Qualifications and Experiences:
● BSc or MSc in statistics, biostatistics, mathematics, bioinformatics, IT security/computing or similar areas of academic discipline OR
● Ph.D or MSc in a biological discipline, Bioinformatics, Data Science or similar areas of academic discipline.
● Extensive knowledge of data protection laws e.g. GDPR and data de-identification / anonymization frameworks and methodologies
● Confidence to discuss at biological and data concepts with the ability to connect these with data privacy concepts and IT solutions to enable data access and sharing
● Experienced in working cross-functionally, across sites and cultures and with external groups
● Ideally some experience in applying and managing healthcare data in Industry, Academic or Research settings
● Ideally some knowledge of regulatory filing process and contents, medical data or clinical trials, patient level datasets and study documentation.