ZipRecruiter

Log In

1

Novartis Bioinformatics Jobs (NOW HIRING)

previous page

Showing results 41-43

All JobsTechnology JobsNovartis Bioinformatics Jobs

Novartis Bioinformatics information

See salary details

$49K

$203.5K

$400K

How much do novartis bioinformatics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for novartis bioinformatics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is a Novartis Bioinformatics?

A Novartis Bioinformatics job involves analyzing biological data, such as genomics or clinical trial data, to support drug discovery and development at Novartis. Bioinformaticians at Novartis use computational tools, programming, and statistical methods to interpret complex biological information and help scientists make data-driven decisions. These roles often require collaboration with researchers, data scientists, and clinicians to advance the company's research and development pipelines. A strong background in biology, computer science, and data analysis is typically required.

What are the key skills and qualifications needed to thrive as a Novartis Bioinformatics professional?

To thrive as a Novartis Bioinformatics professional, you need a strong background in bioinformatics, computational biology, and statistics, typically supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, experience with next-generation sequencing data, and knowledge of bioinformatics tools and databases are essential, along with experience using platforms such as Linux and cloud computing resources. Critical thinking, problem-solving skills, and effective communication are valuable soft skills for collaborating with multidisciplinary teams and translating complex data into actionable insights. These competencies are vital to drive impactful research, enable data-driven decisions, and advance drug discovery and development.

How does a Novartis Bioinformatics professional typically collaborate with cross-functional teams during a drug discovery project?

Bioinformatics professionals at Novartis play a key role in multidisciplinary drug discovery projects by working closely with biologists, chemists, statisticians, and data scientists. They are often responsible for analyzing large-scale biological data, interpreting results to inform experimental design, and presenting findings in a way that supports decision-making across teams. Collaboration usually involves regular meetings, shared digital platforms, and contributing to joint publications or project milestones. This dynamic environment enables bioinformaticians to have a direct impact on advancing research while developing a broad skill set through exposure to various scientific domains.

What is the difference between Novartis Bioinformatics vs Novartis Bioinformatics Scientist?

AspectNovartis BioinformaticsNovartis Bioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or Ph.D. in Bioinformatics, Computational Biology, or related fields
Work EnvironmentResearch labs, cross-functional teams, collaborative projectsResearch-focused, data analysis, algorithm development, scientific reporting
Employer & Industry UsagePharmaceutical industry, biotech companies, research institutionsPharmaceutical industry, biotech firms, research organizations

Novartis Bioinformatics roles typically involve supporting research projects with bioinformatics tools, while Novartis Bioinformatics Scientists focus on designing experiments, analyzing complex data, and developing new computational methods. Both roles require strong technical skills, but the Scientist position often demands advanced degrees and deeper scientific expertise.

More about Novartis Bioinformatics jobs

What cities are hiring for Novartis Bioinformatics jobs?

Cities with the most Novartis Bioinformatics job openings:

What job categories do people searching Novartis Bioinformatics jobs look for?

The top searched job categories for Novartis Bioinformatics jobs are:

Novartis Bioinformatics jobs near you
Infographic showing various Novartis Bioinformatics job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Associate Director, Semantic & Knowledge Engineering (2 Openings)

East Hanover, NJ • Hybrid

Novartis
Pharmaceutical and Medicine Manufacturing • 10K+ employees
Learn more about Novartisexternal

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Novartis rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical

Job description

Job Description Summary

#LI-Hybrid
Reporting to the Executive Director, Semantic and Knowledge Engineering, the Associate Director, Semantic and Knowledge Engineering designs, builds, and governs enterprise semantic models, ontologies, taxonomies, business vocabularies, knowledge graphs, metadata services, and semantic APIs. The role enables AI, analytics, enterprise search, interoperability, retrieval-augmented generation (RAG), agentic AI, contextual search, and reasoning engines by embedding reusable semantic capabilities into products and workflows across Strategy, Platforms & Transformation.
The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.
There are 2 positions available.


Job Description

Key Responsibilities:

Enterprise semantic modeling and knowledge engineering

Design, develop, andmaintainenterprise ontologies, taxonomies, businessvocabularies, and semantic models thatestablishconsistent meaning across products, data, and AI capabilities.

Build and enhance knowledge graphs, metadata services, and semantic APIs that support AI, analytics, enterprise applications, and commercial decision enablement.

Semantic capabilities for AI and product workflows

Collaborate with Product, Applied AI, Analytics Engineering, and Platform Engineering teams to embed semantic capabilities into products, workflows, platforms, and reusable solution patterns.

Support semantic foundations for RAG, agentic AI, contextual search, reasoning engines, enterprise search, analytics, and interoperability initiatives.

Metadata governance andknowledgelifecycle management

Implement metadata governance, semantic quality controls, stewardship practices, and lifecycle management for enterprise knowledge assets.

Promote quality, consistency, reuse, transparency, and governed evolution of semantic assets across the SPT ecosystem.

Technology evaluation and architecture evolution

Evaluate emerging semantic technologies, standards, graph capabilities, and knowledge engineering approaches to inform the evolution ofthe enterpriseknowledge architecture.

Contribute reusable engineering patterns and technical guidance that reduce duplication and improve scalability across semantic and knowledge engineering work.

Technical mentorship and cross-functional collaboration

Mentor semantic and knowledge engineers while promoting reusable engineering patterns, technical excellence, disciplined documentation, and pragmatic implementation.

Communicate technical trade-offs, risks, dependencies, andrecommendations clearlyto product, engineering, analytics, AI, and business stakeholders.

Essential Requirements:

  • Education: Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline; advanced degree preferred.
  • 6+ years of progressive experience in semantic technologies, knowledge engineering, metadata management, data/information architecture, data product engineering, or AI-enabling data platforms.
  • Hands-on experience designing andmaintainingontologies, taxonomies, controlled vocabularies, business glossaries, semantic models, RDF/OWL, SKOS, SPARQL, graph databases, knowledge graphs, metadata catalogs, data lineage, and semantic APIs/services.
  • Experience building semantic assets that enable AI grounding, RAG/GraphRAG, enterprise search, contextual search, reasoning engines, analytics consistency, interoperability, and reusable product capabilities.
  • Working knowledge of data governance, stewardship models, provenance, quality controls, access/security controls, lifecycle management, privacy, and compliance expectations for enterprise knowledge assets.
  • Ability to translate complex business/domain concepts into reusable semantic models and partner effectively with Product, Applied AI, Analytics Engineering, Platform Engineering, Architecture, and business domain experts.
  • Strong engineering delivery discipline, including documentation, versioning, validation/testing of semantic assets, standards adherence, backlog execution, reusable patterns, and pragmatic implementation in agile/product teams.
  • Strong analytical, communication, stakeholder management, and collaboration skills, with the ability to explain semantic design choices, technical trade-offs, risks, and dependencies to technical and non-technical stakeholders.

Desirable Requirements:

  • Experience applying semantic technologies in pharmaceutical, healthcare, life sciences, commercial, clinical, medical, real-world data, or another regulated data environment.
  • Experience supporting generative AI, agentic AI, LLM-powered products, RAG/GraphRAG, vector databases, graph-enhanced retrieval, knowledge graph embeddings, enterprise search, or AI-ready semantic layers.
  • Familiarity with FAIR data principles, master/reference data modernization, metadata platform roadmaps, ontology governance forums, stewardship operating models, and enterprise knowledge architecture practices.
  • Experience with cloud-based data and AI ecosystems, graph/vector tooling, semantic layer technologies, API-based semantic services, and integration with enterprise search or analytics platforms.
  • Experience mentoring junior semantic/knowledge engineers, shaping reusable engineering patterns, and contributing to technical standards or communities of practice.
  • Advanced degree or relevant certification in Computer Science, Information Science, Data Science, Artificial Intelligence, Bioinformatics, Knowledge Engineering, Ontology Engineering, ora relateddiscipline.

Novartis Compensation Summary:

The salary for this position is expected to range between $176,400 and $327,600 per year.

The final salary offered isdeterminedbased on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health,lifeand disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days,holidaysand other leaves.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$176,400.00 - $327,600.00


Skills Desired

Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

What Novartis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply