Senior Expert Data Science
About this opportunity
#LI-Hybrid Location: Barcelona, SpainRelocation 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.
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 supervisorsUnderstand life science data sources including preclinical, clinical, sales, contracting, promotions, social media, patient claims and Real World EvidenceResearch and co-develop with supervisor in data management, new algorithms, methods, statistical models and business models and providing insight into structured and unstructured dataSupport 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 practicesIndependently identifies research articles and proposes them for application to Novartis business problemsDevelop automation for data management, repeatedly refreshing analysis and generating insightsUnderstand 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 ScienceTrack record delivering global solutions at scale.In-depth mastery of external environment and trendsIn depth knowledge of Artificial Intelligence (AI), Machine LearningExperience in Python is a mustProfessional level of English, both written and spokenStrong 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.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 96 comparable Senior Data & Digital roles across 27 biopharma companies.
Salary context
19 of 96 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 96 comparable roles
+ 7 more countries
Seniority mix
96 of 96 peers have a known seniority level
Therapeutic area mix
2 of 96 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.