Unique PhD Graduate Rotation Program - Virtual Analytics Network

320848BR
Jul 05, 2021
United Kingdom

Job Description

15 months rotating across 3 key areas of the Novartis Analytics Organisation… Novartis continues to accelerate its growth in the data and digital space. You will have the opportunity to work in different disease areas and different phases of drug development, and then at the end of your rotation you will choose the area in which you work permanently! We are excited to offer this unique opportunity to start your career by joining a group of innovative PhD graduates working within our Virtual Analytics Network in the UK. This is an exciting PhD Graduate Rotation Program!


You'll use your strong quantitative skills and curious mind-set to contribute to research projects and/or projects in early or late phase clinical development. Throughout this process, you will be supported with structured training, and a buddy system, plus you'll have the opportunity to meet and to collaborate with colleagues in other locations.

Once you have completed your rotation, you will choose which area you would like to focus on where you will be responsible for all quantitative statistical/pharmacometrics work relating to one or more assigned trials in collaboration with the clinical trial team. You may also, with appropriate supervision, support project level goals and lead the implementation of modern and innovative clinical trial/experimental designs, statistical modeling, statistical analyses and data explorations at the study level.


Your Responsibilities include but are not limited to:

• Being responsible for all statistical tasks on assigned trials, and perform these tasks independently seeking peer input/review as required. This includes protocol development in alignment with the development plan, developing statistical analysis plans, reporting activities. Contributing to planning and execution of exploratory analyses, and/or PK, PK/PD analyses, exploratory biomarker and diagnostic analyses, and statistical consultation. Initiating, driving and implementing novel methods and innovative trial designs in alignment with the Lead Statistician
• Explaining statistical methodologies and interpreting analysis results. Providing statistical expertise to support submission activities and documents, meetings with and responses to Health Authorities and other drug development activities, as required
• Contributing to interactions with external review boards/ethics committees, external consultants and other external parties with oversight as appropriate. Representing Novartis in statistical discussions at external congresses, conferences, scientific meetings
• Representing the Biostatistics & Pharmacometrics Line Function multi-functional teams for the assigned trials. Responsibility for functional alignment and ensuring line function awareness of status and issues related to the as-signed trials
• Collaborating with other line functions. Explaining statistical concepts in a manner that is easily understood by non-statisticians and providing adequate statistical justifications for actions/decisions/statements as required
• Establishing and maintaining sound working relationships and effective communication within the Clinical Trial Team and Biostatistics & Pharmacometrics team
• Overseeing all Biostatistics resources and work for assigned trials. Ensure timeliness and adequate quality of all Biostatistics work for the assigned trials and/or non-clinical related activities

Minimum Requirements

What You'll Need:

• PhD in Statistics, data science, mathematics, computational sciences or equivalent
• Proven knowledge and expertise in statistics and its application to clinical trials / public health
• Proficiency in use of statistical software packages (e.g. R)
• Ability to influence decisions that directly impact the assigned clinical trial and team ability to deliver objectives.
• Good communication and presentation skills, ability to work on and collaborate seamlessly with a multidisciplinary team to achieve team objectives
• Proficiency in English (oral & written)

Nice to Have:

• Depending on your assignment, you it would be helpful to have expertise in one or more of the following areas: pharmacokinetics, exposure-response modelling, exploratory biomarker, diagnostic analyses, applied Bayesian statistics, or data exploration skills

Who can apply?

If you're due to submit your PhD thesis within the next 6 months or have graduated with your PhD within the past 12-24 months and are currently working in a Postdoctoral position, then we'd love to hear from you!

Why consider Novartis?

769 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

Imagine what you could do at Novartis!

Commitment to Diversity & Inclusion:

Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Global Drug Development
CD&A GDD
United Kingdom
London-West
Research & Development
Full Time
Regular
No
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320848BR

Unique PhD Graduate Rotation Program - Virtual Analytics Network

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