Principal Data Scientist, Global Medical Affairs

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

200+ compounds in Novartis are supported by biostatisticians in 10+ sites around the globe. Biostatisticians transform clinical data into analyses that build the basis for making innovative drugs accessible for patients. They influence decision-making in cross-functional international teams from early to late phase drug development.

We are in search of a Principal Data Scientist supporting Global Medical Affairs. Come to an industry leader where you will lead implementation of modern and innovative trial/experimental designs, statistical models, analysis and data exploration methodologies at the study or project level and you will be responsible for all analytical work, scientific and operational, in collaboration with the clinical trial teams and other quantitative partners in the late phase development team.

Your responsibilities include but are not limited to:

• Responsible for all data science tasks on the assigned clinical or non-clinical projects, and perform these tasks independently.
• Responsible for implementing data science planning, data provisioning, analytical activities including exploratory analyses, reporting and communication of methods and results, ensuring reproducible and agile ways of working.
• Contribute to planning and execution of exploratory analyses, and/or PK, PK/PD analyses, exploratory biomarker and diagnostic analyses, and data science consultation. Initiate, drive and implement novel and innovative methods in alignment with other quantitative team members.
• Explain data science methodology and interpret analysis results.
• Contribute to interactions with external review boards/ethics committees, external consultants, and other external parties with oversight as appropriate. Represent Novartis in data science discussions at external congresses, conferences, scientific meetings.
• Represent the Analytics Line Function on cross-functional teams for the assigned projects. Responsible for functional alignment and ensuring line function awareness throughout the assigned projects.
• Collaborate with other line functions. Explain methods and results in a manner easily understood by non-analytical folks, and provide adequate justifications, sensitivity analyses for actions/decisions/statements, when required.
• Establish and maintain sound working relationships and effective communication with the Medical colleagues as well as the Biostatistics and Pharmacometrics teams.
• Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use.
• Oversee all data science resources and deliverables for assigned projects

Minimum Requirements

What you’ll bring to the role:

• MS (in Statistics or equivalent) with 4+ years relevant work experience or PhD (in Statistics or equivalent) with relevant work experience (including internship)
• Good communication and presentation skills
• Ability to deliver objectives and influence decisions that directly impact assigned projects and teams
• Proven knowledge and expertise in data science and its application to clinical trials. Depending on the assignment, may require proven expertise in modelling, exploratory biomarker, diagnostic analyses, applied Bayesian statistics, or data exploration skills.
• Proficiency in use of software packages (e.g., Python, R, SAS)

Knowledge of drug development and Health Authority guidelines

Why Novartis?

766 million lives were touched by Novartis medicines in 2021, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.

We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.

We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!

Imagine what you could do here at 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.