Loading ...
Loading ...
Associate Director, Portfolio Data Science and Advanced Analytics
View: 148
Update day: 29-03-2024
Location: Basel Basel-Stadt BS
Category: R & D Science Labor Other
Industry: Pharmaceutical Manufacturing
Position: Associate
Job type: Full-time
Loading ...
Job content
Job Description9 Billion! The amount Novartis invests in Research & Development. Novartis Institutes for BioMedical Research (NIBR) is the innovation engine of Novartis, where 5,600 people dedicated to drug discovery harvest the power of new technologies to produce therapeutic breakthroughs to patients. Their efforts are organized in hundreds of research and early development projects that provide reach source of portfolio data, from exploratory to clinical proof-of-concept. We at Portfolio Forecasting, Analytics and Reporting team aim to unlock the potential of this data to support senior management boards in enterprise-wide portfolio decision making.
As the Associate Director, Portfolio Data Science and Advanced Analytics – you will be responsible for establishing industry-leading portfolio simulation and advanced analytics methodologies for NIBR research and early development (R&ED) pipeline. This role brings deep technical expertise in statistics, predictive analytics and modelling to lead the development of portfolio forecasting, optimization and information intelligence capabilities within NIBR. The other key purpose of the role will be to apply advanced analytical methodologies in close collaboration with Disease Areas, Global Platforms, Portfolio Strategy Directors, Project Management and Project Teams, to support significant business decisions for R&ED pipeline. The role will also act as an expert thought leader in portfolio data science and advanced analytics.
Your responsibilities will include:
- Design and lead the establishment of industry-leading portfolio simulation and advanced portfolio analytics capabilities to support senior management boards in their decision-making process to advance our R&ED pipeline.
- Provide support to business decisions that have significant impact on our pipeline by applying innovative/quantitative analytical and modeling approaches and collaborating with Project Teams / Project Management, and Disease Areas / Global Platforms to enable actionable recommendations to senior management boards.
- Lead cross-divisional portfolio simulation and analysis with an objective to align, shape and connect current NIBR portfolio simulation systems and analysis capabilities to deliver a complete and consistent integrated view of global drug R&D projects, marketed products and new opportunities across Novartis in close collaboration with S&G, GDD, Commercial and Corporate.
- Develop and establish advanced portfolio concepts, methodologies and metrics in collaboration with portfolio functions within Disease Areas and across the enterprise, integrating latest AI and digital analytics.
- Enable and empower major stakeholders to solve relevant business questions by applying developed analytical and forecasting tools.
- Act as an expert thought leader in portfolio theory, data science and data analytics, establishing state-of-the-art methodologies and capabilities for portfolio management across Novartis.
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.
Minimum Requirements
What you’ll bring to the role:
- Science/engineering/data science degree (Master, PhD) or business degree (MBA) required; degrees in at least two fields highly desirable.
- Minimum of 10 years of professional experience in the pharma / biotech industry, of which at least 5 years preferably in R&D setting.
- Strong multi-disciplinary background with previous experience and deep understanding of R&D portfolio management, decision science, data science, data analytics and statistics.
- Technical skills required: data wrangling; descriptive and inferential statistics; trend analysis; agent-based modelling; forecasting and simulation; single and multi-objective optimization; data visualization (R Shiny is a plus); basic machine learning expertise; SQL, R, and python; experience with Git and Bitbucket.
- Deep understanding of drug discovery and/or development process. Track record of impact on drug discovery and/or development pipeline.
- Proven ability to quickly understand complex abstract technical ideas and concepts, translate them into simple and effective solutions and communicate them effectively to non-technical audiences.
- Track record of innovation by transforming the way to solve the problem using data science and artificial intelligence.
- Analytical and strategic thinker and problem-solver.
- Strong cross-functional matrix leadership experience with proven track record of leading inter-disciplinary internal and external project teams to solve critical business problems. Able to establish strong partnerships without formal authority, strong team player.
- Strong planning and organization skills, project management skills, process orientation.
- Strong mentoring and coaching skills.
750 million. That’s how many lives our products touch. And while we’re proud of that, 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 empowered to ask new questions, make bolder decisions and take smarter risks.
We are Novartis. Join us and help reimagine medicine.
Division
NIBR
Business Unit
PORTFOLIO MANAGEMENT - NIBR
Country
Switzerland
Work Location
Basel
Company/Legal Entity
Novartis Pharma AG
Alternative Country 1
USA
Alternative Country 2
India
Functional Area
Research & Development
Job Type
Full Time
Employment Type
Regular
Shift Work
No
Early Talent
No
Loading ...
Loading ...
Deadline: 13-05-2024
Click to apply for free candidate
Report job
Loading ...
Loading ...
SIMILAR JOBS
-
⏰ 22-04-2024🌏 Basel-Stadt BS, Riehen
-
⏰ 23-04-2024🌏 Riehen, Basel-Stadt BS
-
⏰ 24-04-2024🌏 Riehen, Basel-Stadt BS