REQ-10010515
27 juin 2024
Suisse

Résumé

We are seeking a Data Scientist to work alongside quantitative scientists, domain experts and product developers to ensure teams succeed in answering scientific questions using the data42 platform. You will help our users to apply and develop analytical methods and predictive models that deliver impact on research and drug development programs. Furthermore, you will collaborate on analytical pipelines (e.g. for imaging or omics) that can be re-used across the platform. Within the project and when working with our users, data42 data scientists will develop and advocate for good data science practices. This role reports to the Scientific Lead - data42.

About the Role

Key Responsibilities:

  • Ensure that scientific teams are enabled and supported to achieve their goals at data42

  • Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses

  • Develops frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with our data scientist users.

  • Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team.

  • Acts as an advocate for good data science practice across data42

Essential Requirements:

  • PhD in a quantitative / computational science (e.g. bioinformatics, engineering, machine learning, statistics, physics, mathematics)

  • At least 2 years of professional experience in the pharmaceutical sector.

  • Experience with bioinformatics (around DNA / RNA / proteomics data analysis) and/or statistical genetics and/or biostatistics

  • Strong experience with R or python for data analysis and statistical modelling

  • Experience in using machine learning models to predict clinical endpoints using multimodal data

  • Experience with use of AI/GenAI/LLMs for automating or accelerating data- or data science related processes

  • Experience with the principles and tools of good data science practice (e.g git/versioning)

  • Excellent communication and stakeholder management skills

Desirable Requirements:

  • Knowledge of CDISC data standard (SDTM, ADaM)

  • Experience with pooling of clinical trial data

  • Understanding of the drug discovery and development process

  • Experience working in the field of immunology

  • Experience with computational environments for large-scale data science (e.g. high-performance computing or Spark)

  • Biostatistics for the analysis of clinical data (SDTM/ADAM) and/or RWE data

  • Experience in using the Foundry platform for data analysis

Why Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

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.

Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

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? https://www.novartis.com/about/strategy/people-and-culture

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: https://talentnetwork.novartis.com/network

Biomedical Research
Pharma Research
Suisse
Basel (City)
Data Science
Full time
Regular
No

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

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REQ-10010515

Data Scientist Expert II

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