Data Science Innovation Postdoctoral Fellow, Diseases of Aging and Regenerative Medicine (San Diego) Job at Novartis Group Companies, San Diego, CA

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  • Novartis Group Companies
  • San Diego, CA

Job Description

Job Description Summary

We are thrilled to seek applications for our Data Science Innovation Fellowship track of the Novartis Postdoctoral Fellowship Program.

This applied research program is designed to change the way we approach drug discovery, offering fellows a unique chance to train in Data Science and AI for biomedical research. As a fellow, you will learn to apply your quantitative and computational skills to make a difference for patients and reimagine medicine at Novartis.

As part of the Data Science Innovation Fellowship track of the Novartis Postdoctoral Fellowship Program, you will join our vibrant, dedicated postdoctoral community for events, including the monthly postdoc seminars and other scheduled events for postdocs. Fellows are surrounded by a supportive, collaborative community of postdocs and scientists, who would contribute to the acceleration of your scientific growth, along with building your professional skillset, e.g., you will have the opportunity to do a Postdoc Practicum in another laboratory or in a business function of Novartis. This applied research program is up to 3 years in length, with the option of applying for an extension of up to 1 year (pending review by the Head of Biomedical Education & Innovation and the postdoc supervisor).

Drug hunting is a team sport, and you will gain experience in Data Science & AI for drug discovery as part of a multi-disciplinary team in Biomedical Research. You will drive innovation by deploying cutting-edge data approaches in collaboration with a vibrant and diverse community of over 300 data scientists globally. The program provides a unique platform to work on real-world, biomedical data at scale, rarely accessible in academia. Seize this chance to be at the forefront of Data Science and AI, and shape the future of drug discovery!

Job Description

Internal Job Title: Innovation Postdoctoral Fellow

Position Location: onsite, San Diego, CA #LI-onsite

The Diseases of Aging and Regenerative Medicine (DARe) Disease Area is seeking a highly motivated and talented Data Science Innovation Postdoctoral Fellow to join our Translational and Data Science Team in San Diego. This is an exciting opportunity to work in a versatile and multidisciplinary team to develop analytical methods to quantify and study aging by integrating various data modalities. The successful candidate will work with patient samples, large multi-omics datasets, and state-of-the-art technologies including scRNAseq, bulkRNAseq, proteomics, metabolomics, and imaging. The ideal candidate will have a strong background in data science, bioinformatics, or a related field, with a proven track record of handling complex datasets and applying advanced analytical techniques.

Through the Novartis Postdoctoral Fellowship Program, you will build your competency as a drug hunter and scientific leader. You will join a professional network supporting your growth and have the opportunity to tackle disease and make an impact by reimagining medicine together.

Start date: September 1st, 2025

Key responsibilities:

  • Work independently as well as with interdisciplinary teams
  • Develop analytical methods to quantify and study aging
  • Work on the complete data analysis workflow: defining problems, data collection, data cleaning and wrangling, exploratory and confirmatory analyses, data visualization, and storytelling
  • Innovate and drive forward-thinking research initiatives
  • Develop and nurture relationships with key collaborators and stakeholders
  • Present research findings and insights at internal and external meetings
  • Stay updated with the latest research trends and advancements

Role requirements:

  • PhD in quantitative science such as biology, medical science, computational biology, or a related discipline
  • Note that PhD students in the last year of their thesis work are eligible to apply. Applicants are only eligible up to 2 years from receiving their PhD (i.e., degrees awarded May 2023 or later).
  • Experience in using omics data to study aging
  • Experience in integrating and interpreting multiple data modalities
  • Strong publication record or other scientific achievements (e.g., awards, patents, grants)
  • Excellent analytical, communication, presentation, and organizational skills
  • Passion for fundamental exploratory research and boundless curiosity

How to apply:

Please submit your CV and cover letter by September 1st, 2025, for consideration. In your cover letter, discuss how this training program will help you fulfill your career goals.

The starting salary for this position is $87,000 per year.

US-based eligible employees will receive a comprehensive benefits package, including health, life, and disability benefits, a 401(k) with company contribution and match, and other benefits. Employees are also eligible for a generous time off package including vacation, personal days, holidays, and other leaves. #PDX#DSIF

EEO Statement:

The Novartis Group of Companies is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or other legally protected status.

Accessibility and reasonable accommodations:

The Novartis Group of Companies is committed to providing reasonable accommodation to individuals with disabilities. If you need a reasonable accommodation during the application process or to perform the essential functions of a position, please email us at us.reasonableaccommodations@novartis.com or call +1(877)395-2339. Please include the job requisition number in your message.

Salary Range

$57,800.00 - $107,300.00

Skills Desired

Chemistry, Clinical Research, Data Analysis, Detail-Oriented, Immunology, Job Description, Law (Legal System), Lifesciences, Molecular Biology, Operational Excellence, Personalized Medicine, Physics, Quality Center (QC), Quality Control, Scheduler, Software Troubleshooting, Team Player

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Job Tags

Full time,

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