Associate Director Data Science
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Associate Director Data Science

London Full-Time 54000 - 84000 £ / year (est.) No home office possible
Apply now
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At a Glance

  • Tasks: Lead data science initiatives to solve critical business problems and enhance drug development.
  • Company: Join Novartis, a leader in reimagining medicine to improve lives.
  • Benefits: Enjoy hybrid work options and a collaborative, inclusive environment.
  • Why this job: Make a real impact on patient lives while working with cutting-edge technologies.
  • Qualifications: Ph.D. in data science or related field with 6+ years in clinical drug development required.
  • Other info: Empower your team and drive innovative solutions in a supportive culture.

The predicted salary is between 54000 - 84000 £ per year.

-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 contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. To manage 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 be able to work across various business domains. Integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. Independently set strategy, manage budget, ensuring appropriate staffing and coordinating 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

As an Associate Director Data Science in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine to enrich drug development decisions in close collaboration with internal and external partners.

This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.

Key Accountabilities:

  1. You will contribute to planning, execution, interpretation, validation, and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making.
  2. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.
  3. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.

Your Experience

  1. Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).
  2. More than 6 years experience in clinical drug development with extensive exposure to clinical trials.
  3. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.
  4. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.
  5. Excellent interpersonal and communication skills (verbal and writing).
  6. Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations.

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.

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up.

GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.

Functional Area Data and Digital

Job Type Full time

Employment Type Regular

Shift Work No

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Associate Director Data Science employer: Novartis Farmacéutica

At Novartis, we are dedicated to reimagining medicine and improving lives, making us an exceptional employer for those passionate about data science in the healthcare sector. Our London office offers a collaborative and inclusive work culture, with hybrid working options that promote work-life balance, while our commitment to employee growth ensures you will have access to continuous learning and development opportunities. Join us to be part of a community that values innovation and teamwork, where your contributions directly impact patient outcomes and help shape the future of medicine.
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Contact Detail:

Novartis Farmacéutica Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Associate Director Data Science

Tip Number 1

Familiarize yourself with the latest trends in data science and machine learning, especially as they relate to clinical drug development. This will not only help you understand the role better but also allow you to speak confidently about how your skills can contribute to solving unmet medical needs.

Tip Number 2

Network with professionals in the field of data science and medical affairs. Attend relevant conferences or webinars where you can meet potential colleagues and learn more about the challenges they face. This can provide you with insights that will be valuable during interviews.

Tip Number 3

Prepare to discuss specific projects where you've applied statistical methods and machine learning algorithms. Be ready to explain your thought process, the challenges you faced, and how your contributions made a difference in those projects.

Tip Number 4

Showcase your ability to communicate complex data findings in a clear and impactful way. Practice presenting your analyses and results to non-technical audiences, as this skill is crucial for translating data insights back to business users.

We think you need these skills to ace Associate Director Data Science

Ph.D. in Data Science, Biostatistics, or related quantitative field
6+ years of experience in clinical drug development
Strong knowledge of statistical methods (e.g., time to event analysis, machine learning, meta-analysis)
Expertise in mixed effect modeling and longitudinal modeling
Proficiency in Bayesian methods and variable selection methods (e.g., lasso, elastic net, random forest)
Design of clinical trials
Strong programming skills in R and Python
Data visualization and exploratory analysis
Predictive modeling
Excellent interpersonal and communication skills (verbal and written)
Ability to develop and deliver clear presentations
Agility to work across various business domains
Experience with contextual storytelling and smart visualization tools
Team management and coaching skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Associate Director Data Science position. Tailor your application to highlight how your experience aligns with the key accountabilities mentioned in the job description.

Highlight Relevant Experience: Emphasize your Ph.D. and over 6 years of experience in clinical drug development. Be specific about your exposure to clinical trials and your expertise in statistical methods and programming languages like R and Python.

Showcase Communication Skills: Since excellent interpersonal and communication skills are crucial for this role, provide examples in your application that demonstrate your ability to present complex data insights clearly and concisely to both technical and non-technical audiences.

Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the language and key terms used in the job description. This will help your application stand out and show that you are a good fit for the company culture and the specific role.

How to prepare for a job interview at Novartis Farmacéutica

Understand the Business Context

Make sure to familiarize yourself with the specific business problems that the company is addressing. Be prepared to discuss how your analytical approaches can solve these issues and contribute to unmet medical needs.

Showcase Your Technical Expertise

Highlight your experience with statistical methods and machine learning algorithms. Be ready to provide examples of how you've applied these skills in clinical drug development, particularly in relation to data from clinical trials and real-world evidence.

Communicate Clearly and Effectively

Demonstrate your ability to translate complex data findings into actionable insights. Practice presenting your analyses in a clear and concise manner, as you will need to communicate effectively with both technical and non-technical stakeholders.

Emphasize Team Leadership Skills

If applicable, discuss your experience in managing teams and empowering team members. Share examples of how you've provided guidance and coaching, and how you plan to foster collaboration within the team.

Associate Director Data Science
Novartis Farmacéutica
Apply now
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