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- Tasks: Lead innovative tools and processes for clinical reporting on a cloud-based platform.
- Company: Join Novartis, a community dedicated to reimagining medicine and improving lives.
- Benefits: Collaborative culture, opportunities for mentorship, and commitment to diversity and inclusion.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology and passionate teams.
- Qualifications: Experience in R package development, statistical programming, and open-source collaboration required.
- Other info: Empower junior team members and promote an open-source culture.
The predicted salary is between 43200 - 72000 £ per year.
Associate Director, Technology and Scientific Computing
Job ID REQ-10031627
United Kingdom
Summary
Understands complex and critical business problems from a variety of stakeholders and business functions, formulates integrated analytical approaches to mine data sources, employs statistical methods and machine learning algorithms to solve unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. Manages the definition, implementation, and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to work across various business domains. Integrates business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. Independently sets strategy, manages budget, ensures appropriate staffing, and coordinates projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers.
About the Role
Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people’s lives.
To do this, we are optimizing and strengthening our processes and ways of working.
We are investing in new technologies and building specific therapeutic area and platform depth and capabilities – all to bring our medicines to patients even faster.
We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.
Apply today and welcome to where we thrive together!
The Role
This role is pivotal in leading the development and adoption of innovative tools and processes for clinical reporting on a cutting-edge, cloud-based platform. You will collaborate closely with stakeholders from statistical programming and biostatistics to pharmacometrics, facilitating the iterative design of new processes in clinical reporting. This includes supporting the development of open-source tools, with a focus on complex executions, for instance implementing novel statistical methods as well-documented and tested R packages.
Key Accountabilities:
- Develop New Ways of Working: lead discussions about adapting new ways of working to enable provenance, orchestration, versioning of data, outputs, and code from planning of deliverables through to submission.
- Matrix Leadership: work as part of an interdisciplinary team that ranges from current users, process engineers, platform development team, and an innovation team focused on the application of AI and automation.
- Lead Tool Development: develop technical tools such as packages and applications that enable clinical trial teams to design and analyze clinical trials.
- Agile Development Leadership: drive the agile development cycle, from gathering user requirements and prototyping to production release, demos, training, and support.
- Continuous Improvement: work with users to identify opportunities for continuous improvement and modernization of our tooling.
- Problem-solving Skills: demonstrated ability to lead the analysis of complex problems, identify potential solutions, and implement effective outcomes.
- Mentor Team Members: coach junior team members on technical topics and best practices, including R package development, agile development, and managing environments.
- Promote Open-Source Culture: foster a culture of continuous evolution and open-source development by engaging with external communities, contributing new packages/features, and undertaking maintenance and support activities.
Your experience:
- Strong interest in modern ways of working, including git, open source languages, and applying data science principles in a GxP setting.
- Proven experience in leading the development lifecycle of R packages from prototype to production standard.
- Understanding of regulatory requirements (e.g., GxP) and computer system validation principles.
- Current or former maintainer of an open source (R/Julia/Python) package implementing statistical methods.
- Experience as a statistical programmer or statistician.
- Previous experience in collaborating on open-source projects within the pharmaceutical sector, such as those associated with R Consortium, pharmaverse, openpharma, or openstatware.
- Deep understanding of good software development practices (e.g., containers, versioning, CICD, code review) and embedding these in team workflows.
- Proficiency with git and application of git flows.
- Solution-oriented mindset with a collaborative spirit.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
Commitment to Diversity & Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
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Associate Director, Technology and Scientific Computing employer: Novartis Farmacéutica
Contact Detail:
Novartis Farmacéutica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director, Technology and Scientific Computing
✨Tip Number 1
Familiarize yourself with the latest trends in statistical programming and machine learning, especially in the context of clinical reporting. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with open-source projects, particularly those related to R or Python. Highlight any contributions you've made to these projects, as this aligns perfectly with our commitment to fostering an open-source culture.
✨Tip Number 3
Prepare to discuss your approach to agile development and how you've implemented it in past projects. Being able to articulate your experience in leading agile cycles will demonstrate your fit for the role.
✨Tip Number 4
Network with professionals in the pharmaceutical sector who are involved in open-source initiatives. Engaging with communities like the R Consortium or pharmaverse can provide valuable insights and connections that may benefit your application.
We think you need these skills to ace Associate Director, Technology and Scientific Computing
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight relevant experience in technology and scientific computing. Emphasize your skills in statistical programming, R package development, and any experience with agile methodologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for improving patient outcomes through innovative technology. Discuss specific projects where you've led the development of tools or processes that align with the role's key accountabilities.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your ability to analyze complex problems and implement effective solutions. Highlight any experience you have in mentoring team members or leading interdisciplinary teams.
Highlight Open-Source Contributions: If applicable, mention your contributions to open-source projects, especially those related to R, Julia, or Python. This will showcase your commitment to fostering an open-source culture and your technical expertise.
How to prepare for a job interview at Novartis Farmacéutica
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with R package development and how you've led projects from prototype to production. Highlight specific examples where you've implemented statistical methods and the impact they had on clinical reporting.
✨Demonstrate Agile Development Knowledge
Familiarize yourself with agile methodologies and be ready to explain how you've applied them in previous roles. Discuss your experience in gathering user requirements, prototyping, and driving projects through to production release.
✨Highlight Collaboration Skills
This role requires working with interdisciplinary teams. Share examples of how you've successfully collaborated with stakeholders from different functions, such as statistical programming and biostatistics, to achieve common goals.
✨Emphasize Continuous Improvement Mindset
Discuss your approach to identifying opportunities for improvement in processes and tools. Provide examples of how you've contributed to modernizing workflows or enhancing tool usability in past projects.
