At a Glance
- Tasks: Lead a team to revolutionise data delivery and implement cutting-edge technologies.
- Company: Join Roche, a global leader in healthcare innovation and diversity.
- Benefits: Flexible working, competitive salary, and opportunities for personal growth.
- Why this job: Make a real impact on healthcare by leveraging data and AI.
- Qualifications: Master's degree in a scientific field and experience in data management.
- Other info: Collaborative culture that values your unique contributions.
The predicted salary is between 43200 - 72000 £ per year.
Overview
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Opportunity
The Data Delivery and New Technologies Lead is a visionary leader who provides strategic leadership to the Data Capability, has outstanding collaboration capabilities, and can influence without authority. You will be part of the Data Capability leadership team and lead a world-class team of data modalities experts focusing on accelerating data delivery to our scientists while pioneering new Data technologies to optimize E2E data flows and enable automation.
This role involves team management, and close collaboration within the Data & Digital Catalyst department as well as with stakeholders across pRED and gRED to ensure high quality data product delivery and enhance data sharing and data reuse.
This role offers a unique opportunity to shape the RED’s data landscape, leverage data as a strategic asset and accelerate drug portfolio decision making.
As Data Delivery and New Technologies Lead , you will develop and implement the data delivery strategy and guide a team of experienced experts to guarantee effective management of RED’s data assets. You will make key decisions on talent, resourcing,strategic prioritization, technical roadmaps, business processes and solution development contributing to CS CoE overall success.
In this role you will:
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Provide visionary leadership for Data Delivery and New data technologies within the Data capability while serving as a key member of the Data capability Leadership Team.
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Develop and execute a forward-looking strategy for leveraging AI, automation and advanced technologies to revolutionize data enrichment processes
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Be responsible for hiring, developing, and retaining talent, fostering opportunities for team members to enhance their skills and impact.
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Define objectives, priorities and Objectives and Key Results (OKRs) for the team
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Drive the evaluation and implementation of new data technologies to support complex and emerging data modalities, ensuring timely delivery of AI-ready data assets.
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Oversee large-scale strategic initiatives and data insight development projects, facilitating effective data lifecycle management
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Collaborate with the DDC Domains and capabilities leads as well as with other key stakeholders to align on strategic priorities and support Pharma’s ambition
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Foster strong internal and external partnerships and build a culture of \’data as an asset\’ in Research and Development.
Who you are
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Master\’s degree in a scientific or technical field andsignificant professional experience in the Pharma or Diagnostics sector, with deep R&D process understanding
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Ability to lead, handle ambiguity, and achieve timely and efficient results.
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Proven track record leading major projects; Team leadership experience preferred
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Experience in at least one of the following domains: data curation, data stewardship, data standards, data quality management, masterdata, metadata and data management.
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Hands-on experience with languages ( Python, R, Rshiny, Perl, Java, etc) or visualization interfaces (Spotfire, Tableau, etc)
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Familiarity with regulatory requirements and industry standards related to data privacy and security and quality
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Proven ability to lead large, complex projects and teams, involving multiple stakeholders delivering excellent results
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Excellent partnering, communication skills and ability to foster trustful relationships and a growth-focused, agile environment
#ComputationCoE
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
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Data Delivery Lead employer: Roche
Contact Detail:
Roche Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Delivery Lead
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Roche. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching Roche's culture and values. Show them how you align with their mission of creating a healthier future – it’ll make you stand out!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in data delivery and technology can help Roche innovate and improve healthcare outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining the Roche team.
We think you need these skills to ace Data Delivery Lead
Some tips for your application 🫡
Be Yourself: At StudySmarter, we want to see the real you! Don’t be afraid to express your unique qualities in your application. Show us what makes you tick and how you can contribute to our mission.
Tailor Your Application: Make sure to customise your application for the Data Delivery Lead role. Highlight your relevant experience and skills that align with the job description. We love seeing how you connect your background to what we do!
Showcase Your Achievements: Don’t just list your responsibilities; share your successes! Use specific examples to demonstrate how you've made an impact in previous roles. We’re all about results and innovation here at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Roche
✨Know Your Data Inside Out
As a Data Delivery Lead, you'll need to demonstrate a solid understanding of data management and delivery processes. Brush up on your knowledge of data curation, stewardship, and quality management. Be ready to discuss specific examples from your past experiences where you successfully managed data projects.
✨Showcase Your Leadership Skills
This role requires strong leadership capabilities. Prepare to share instances where you've led teams or projects, especially in ambiguous situations. Highlight how you fostered collaboration and trust within your team, as well as how you influenced stakeholders without direct authority.
✨Emphasise Your Technical Proficiency
Familiarity with programming languages like Python or R is crucial. Be prepared to discuss your hands-on experience with these tools and any visualisation interfaces you've used, such as Tableau or Spotfire. Consider bringing a portfolio of your work to showcase your technical skills.
✨Align with Roche's Vision
Roche values innovation and a healthier future. Familiarise yourself with their mission and be ready to articulate how your vision aligns with theirs. Discuss how you can leverage AI and advanced technologies to enhance data processes and contribute to their goal of improving healthcare access.