Associate Director Data Science

Novartis Farmacéutica; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as an Associate Director of Data Science, where you will leverage your expertise in statistical methods and machine learning to enhance drug development processes. This role involves collaborating with diverse teams to analyze patient-level data, driving innovative solutions that impact decision-making in clinical trials. With a commitment to improving lives, this innovative firm offers a hybrid working model, allowing you to balance office presence and remote work. If you're passionate about data science and its application in healthcare, this is your chance to contribute to meaningful advancements in medicine.

Qualifications

• Ph.D. in data science or related field with 6+ years in clinical drug development.
• Strong programming skills in R and Python with expertise in statistical methods.

Responsibilities

• Lead data science methodologies for patient-level data in drug development.
• Perform hands-on analysis of integrated clinical and real-world data.

Skills

Statistical Methods

Machine Learning

Data Visualization

Programming in R

Programming in Python

Interpersonal Skills

Communication Skills

Education

Ph.D. in Data Science

Ph.D. in Biostatistics

Job description

-Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process 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? Learn more.

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: Join here.

GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.