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TM Data Science Academy Fellow

Employer
Novartis
Location
Basel, Switzerland
Salary
Competitive
Closing date
Apr 6, 2023

View more

Discipline
Physical Sciences, Information Technology
Position Type
Full Time
Organization Type
Pharma

Job Details

Job Description

20 petabytes of data - this is how much data we generated at Novartis across 100s of clinical trials, pre-clinical studies and drug candidate discovery and development projects! All waiting for you to unlock the next breakthrough in medicine.

Do you want to apply your data science expertise to the life sciences? As a Data Science Academy Program fellow, you will join Novartis’ Translational Medicine Unit to help us to unleash the power of data science for drug discovery and development. During your 24 months journey, you will rotate in three departments of our Unit and apply your skills to challenges in translational medicine.

Who are you? You are a passionate and curious data scientist early in your career, eager to bring creative solutions and a novel perspective to biology’s most daunting challenges on our journey to reimagine medicine. Working alongside dedicated physicians and scientists, our data scientists provide the analytical insights that drive translational success.

You will be
- Working as a member of cross-functional teams
- Communicating regularly with collaborators and assisting with answering their questions with the data and analytics
- Using and developing novel machine learning and statistical techniques and apply them to different data modalities
- Generating insights related to discovery, pre-clinical and clinical projects and inform team on their decision making
- Presenting project outcomes to technical and non-technical audiences
- Participating in drug discovery training courses
- Contributing to research papers and publications

Duration: 24 months, planned start: 1 July 2023

2023

Diversity & Inclusion / EEO

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

Minimum Requirements

MSc or PhD in computational sciences, physics, mathematics, economics, computational biology, machine learning, data science or related field

• Expert knowledge of programming in R or/and Python
• some experience in the field of data science
• Strong grasp of statistics and machine learning
• Experience with reproducible data science tools and practices
• Excellent communication skills and ability to translate analytical concepts for diverse audiences and stakeholders (English is our primary language)

743 million. That’s how many lives our products touched in 2022, 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!

Company

At Novartis, we are reimagining medicine.

Our purpose is to reimagine medicine to improve and extend people's lives. We use innovative science and technology to address some of society's most challenging healthcare issues. We discover and develop breakthrough treatments and find new ways to deliver them to as many people as possible.

Novartis has one of the industry’s most competitive pipelines. Many of these projects, which include new molecular entities as well as additional indications and different formulations for marketed products, are for medicines that could significantly advance treatment standards for patients worldwide.

We have entered an exciting era in health and biomedical innovation. Powered by our incredible colleagues, supported by our flexible-hybrid working model, new AI powered learning, personal growth and career platform and a refreshed commitment to diversity, equity & inclusion, we are well-poised to help lead this transformative moment for our industry and for ourselves. Join Us!

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