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Novartis Bioinformatics Jobs (NOW HIRING)

The Low Molecular Weight (LMW) team at Novartis Biomedical Research Oncology Data Science is ... Apply advanced bioinformatics and machine learning approaches across multi-modal datasets to ...

Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical ... Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a ...

Novartis may change the published salary range based on company and market factors. Your ... Salary Range $176,400.00 - $327,600.00 Skills Desired Analytical Thinking, Bioinformatics, Clinical ...

Cambridge, MA Novartis is a leader in data science and model-informed drug development. We are ... bioinformatics, computational chemistry, biomedical engineering or related field). * PhD with 5+ ...

... etc.), and bioinformatics, is not required, but a plus The pay range for this position at ... Why Novartis: Helping people with disease and their families takes more than innovative science. It ...

Summary GBS is the unique trusted network of specialists partnering across all of Novartis ... PhD in a field such as epidemiology, public health, biostatistics, statistics, bioinformatics ...

Novartis Bioinformatics information

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$49K

$203.5K

$400K

How much do novartis bioinformatics jobs pay per year?

As of Jun 25, 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 job?

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 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.

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

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 bioinformatics professional at Novartis 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.
More about Novartis Bioinformatics jobs
What cities are hiring for Novartis Bioinformatics jobs? Cities with the most Novartis Bioinformatics job openings:
Infographic showing various Novartis Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 30% Physical, 19% Hybrid, and 51% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Bioinformatician / Data Scientist / Computational Biologist focused on RNA Therapeutics

Novartis Pharmaceuticals Corporation

Cambridge, MA • On-site

$138K - $257K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 29 days ago


Job description

Band

Level 4


Job Description Summary

The Biologics Research Center (BRC) is looking for a bioinformatician, a data scientist, or a computational biologist to join the Bioinformatics and Biotherapeutics modeling team in Cambridge, US.
The team collaborates closely with experimental scientists to analyze different types of screening, omics data sets, define and develop data analysis pipelines and tools to support our xRNA programs, and to improve technology platforms in the xRNA space.


Job Description

Internal job title: Senior Expert I/II, Data Science

Location: Cambridge, MA, onsite #LI-onsite

One of the key responsibilities of the successful candidate is to provide computational, bioinformatic, and statistical support for research and early discovery of RNA therapeutics and RNA platform innovation. You work in a collaborative and multi-disciplinary environment by translating projects' needs into bioinformatics solutions; you identify computational needs and influence the introduction and the design of new/state-of-the-art analysis techniques and tools to leverage the use of bioinformatics in the RNA focus area.

Your Key Responsibilities:

  • Provide bioinformatics support to xRNA pipeline and technology projects by consistently collecting, analyzing, integrating in-silico parameters, screening and omics data to draw relevant and innovative conclusions

  • Independently design, plan, execute, and document complex data analysis, then interpret, summarize and report findings to help drive decisions and set priorities

  • Follow latest advances in the field, raise awareness, and influence the introduction of novel and state-of-the-art computational techniques

  • Collaborate in a matrix environment, working with scientists and teams in different areas to address projects' specific needs and quickly adapt to new technologies and changing needs

  • Develop user-friendly applications to make RNA data accessible to bench scientists for broader and repeated use

  • Communicate data and analyses to broad scientific audience, technical and non-technical team members and colleagues

  • Independently identify and lead, or support, the development of innovative bioinformatics solutions in a matrix environment to answer scientific questions with an impact on the development of the next-generation xRNA therapeutics biology and platform.

Essential Requirements:

  • PhD degree in Bioinformatics, Computational Biology, Cheminformatics, or a closely related discipline, along with a minimum of two years of post-graduate experience, or an MS degree with a minimum of 6 years of relevant work experience, preferably in industry.

  • Demonstrated experience working with next-generation sequencing data (Ilumina short reads and/or PacBio/Oxford Nanopore long reads), its commonly used analysis tools, and ability to develop new pipelines and workflows based on business needs

  • Strong domain knowledge in molecular biology, computational genomics and transcription gene regulation and/or post-transcription gene regulation. Knowledge and research experience in RNA biology. Experience in oligonucleotide therapeutics discovery and/or gene therapy is highly desired

  • Development and application of machine learning algorithms for predictive modeling

  • Solid skills in programming languages, i.e. Python and R, and scientific computing with Unix / high-performance computing environment, including software development practices as version control, testing, documentation, etc

  • Strong communication skills (oral and written), ability to multi-task, and to communicate own results also to collaborators with different expertise

  • Experience in integrating, analyzing, visualizing data from different -omics sources, high throughput screening and ability to troubleshoot critical issues or problems, determine causes and possible solutions

  • Ability to monitor and stay up to date on developments within the field of sequencing and genomics to actively propose improvements and innovation in current workflows

Desired Requirements:

  • Knowledge in oligonucleotide chemistry and RNA structure modeling

  • Experience in lab automation and data management

The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, and $138,600 and $257,400 USD annually for Senior Expert II. The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.


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


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


To learn more about the culture, rewards and benefits we offer our people click here.


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, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.


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 in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com 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.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings


Salary Range

$126,000.00 - $234,000.00


Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis