Job Description

Job Description Summary

About the Role:
Our innovative neuroscience disease area is looking for a data scientist or computational biologist, based at our San Diego site, with expertise in biomarker data analysis. This key role will join a team developing novel approaches in genetic medicine to tackle medical challenges and improve patient outcomes. The successful candidate should be able to integrate, analyze, and interpret large biomedical datasets using various computational tools.


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Job Description

#LI-Hybrid

Internal job title: Senior Expert I or Senior Expert II

Location : San Diego, CA

Key responsibilities:

• Applying established and novel approaches to model multi-modal clinical or pre-clinical data to identify biomarkers predictive of disease progression and treatment response, and to nominate novel therapeutic target hypotheses
• Work with wet lab scientists to develop testable biological hypotheses and collaborate in designing rigorous preclinical experiments
• Collaborate with other data scientists and be a subject matter expert in analyzing data from tissue and biofluids
• Analyze proteomics, transcriptomics or related data from clinical, in-vivo or in-vitro studies

Essential Requirements:

• Senior Expert I: Ph.D. with 2 or more years of experience (ideally in industry) in computational biology, genomics, biological sequence design, or related fields. Senior Expert II 3+ years of industry experience in computational biology, genomics biological sequence design or related fields.
• Experience in programming with Python and/or R
• Experience in processing and analyzing proteomics (Somascan, Olink, MS-based, or similar)
• Solid understanding or pathways, systems biology, biological networks
• Experience in cellular / molecular biology
• Ability to understand inter-species variations
• Experience in neuroscience is highly preferred

Preferred Requirements:

• Experience in analyzing transcriptomics (bulk, single cell, spatial), knowledge of splicing
• Experience with experimental design

The salary for the Senior Expert I position is expected to range between $119,000 and $222,000 per year.

The salary for the Senior Expert II position is expected to range between $132,000 and $245,000 per year.

The final salary offered is determined based 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, life and 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, holidays and 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

$119,700.00 - $222,300.00

Skills Desired

Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling

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