Senior Expert Data Science

Posted Yesterday
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Grania, Barcelos, Braga, PRT
In-Office
43K-79K Annually
Senior level
Biotech • Pharmaceutical
The Role
Develops scalable data science solutions using AI, machine learning, statistical models, and automation to address complex life sciences and business problems. Responsibilities include analyzing structured and unstructured data, managing enterprise data lifecycles, researching novel methods, creating visualizations, translating insights for stakeholders, and collaborating across business functions to support medical and organizational outcomes.
Summary Generated by Built In

Salary Range:

€42,600.00 - €79,200.00

Job Description Summary

#LI-Hybrid
Location: Barcelona, Spain
Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support. Please apply only if this location is accessible.
As a Senior Expert Data Science, you will play a key role in delivering impactful data science solutions, collaborating closely with business stakeholders and expert peers to transform complex project needs into meaningful outcomes for patients and the organization.

Job Description

Key Responsibilities 

  • Project manage own tasks and works with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and drives issues to resolution, minimizes surprise escalations, with initial support from supervisors
  • Understand life science data sources including preclinical, clinical, sales, contracting, promotions, social media, patient claims and Real World Evidence
  • Research and co-develop with supervisor in data management, new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data
  • Support the evaluation of the need for technology and novel scientific software, visualization tools and new approaches to computation to increase the efficiency and quality of the Novartis practices
  • Independently identifies research articles and proposes them for application to Novartis business problems
  • Develop automation for data management, repeatedly refreshing analysis and generating insights
  • Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. 
  • Manage the 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.

Essential Requirements:

  • 4+ years of relevant experience in Data Science
  • Track record delivering global solutions at scale.
  • In-depth mastery of external environment and trends
  • In depth knowledge of Artificial Intelligence (AI), Machine Learning
  • Experience in Python is a must
  • Professional level of English, both written and spoken
  • Strong collaboration skills and ability to work effectively across functions and teams.

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.


 

Skills Desired

Agentic AI, Agentic AI, Artificial Intelligence (AI), Artificial Intelligence Technologies, Biostatistics, Business Mindset, Change Management, Change Management Processes, Curious Mindset, Data Governance, data governance and management (Inactive), Data Literacy, Data Quality, Data Quality Management, Data Science, Data Visualization, Deep Learning, Deep Learning Algorithms, Digital Literacy, Generative AI, Graph Algorithms, Learning Agility, Learning agility, being curious (Inactive), Logistic Regression Model (Inactive), Machine Learning (ML) {+ 14 more}

Skills Required

  • 4+ years of relevant data science experience
  • Track record delivering global solutions at scale
  • In-depth knowledge of artificial intelligence and machine learning
  • Professional-level written and spoken English
  • Professional experience with Python
  • Strong collaboration skills and ability to work effectively across functions and teams
  • In-depth mastery of external environment and trends

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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