Computational Biologist/Data Scientist - Regeneration Engine

Company: Sandoz International GmbH
Location: San Diego
Posted on: May 26, 2023

Job Description:

92
That is the number of human diseases for which age is a significant risk factor
Powered with millions of biological data points you will drive the discovery of regenerative approaches to restore cell and tissue functionin diseases of aging and enable the development of new medicines for patients. As part of the Disease of Aging and Regenerative Medicine (DARe) Data Science team, this is an opportunity to shape, and contribute to, high dimensional data driven drug discovery to advance new medicines for ALS, Alzheimer's disease, Osteoarthritis and many more diseases of aging. We are seeking a dedicated, creative, and skilled data scientist to join our global, dynamic, agile, embedded 'dry-lab' research environment. You will have the opportunity to be embedded and closely collaborate with our NIBR regeneration engine in the San Diego NIBR site. As a member of the NIBR data science community, you will also benefit from a > 200 people global community with extensive know how and resources in data analysis, data engineering and machine learning.

Your responsibilities include, but are not limited to:
--- Conduct scientific analyses, data integration, curation, and mining of multi-modal high dimensional pre-clinical data to provide actionable insights.
--- Identify novel therapeutic targets and biomarkers candidates, elucidate the mode of action of drug candidates, advance the understanding of the molecular cross talks involved in cell fate decision and disease trajectories.
--- Work at the interface between in vitro biology investigators, integrated pharmacology, and informatics experts to deliver new and actionable hypotheses based on large-scale molecular, imaging, clinical, and pre-clinical data
--- Contribute to the identification of the most promising new analytical methodologies and data solutions and implement/integrate them within the DARe data science analytic toolbox. Develop and maintain state-of-the-art analytical tools and pipelines.

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.

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.



Diversity & Inclusion / EEO The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. 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 are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. What you'll bring to the role:
--- PhD in computational biology, bioinformatics, or biology
--- 2+ years of experience in applying analytics (statistical inference, machine learning) to high dimensional molecular data and a proven ability to generate actionable hypotheses.
--- Extensive experience analyzing, integrating, and interpreting "omics" data, particularly high-resolution data modalities (scRNAseq and spatial transcriptomics)
--- Knowledge of contemporary deep learning methods, preferably with demonstrated applications on single cell biology.
--- Proficiency in Python and/or R programming, with experience communicating scientific findings through static and interactive reports and visualizations (RMarkdown, R shiny, Plotly, Dash or similar), including web-based deployment of models and results.
--- Experience scripting in a Unix/Linux environment and command-line interaction with high-performance computational clusters. Adept of good coding practices and writing reproducible scripts in version control environments (Git or similar).
--- Proactive and dynamic attitude with a demonstrable inquisitive mindset and a proven ability to formulate, articulate, and critically evaluate data driven scientific hypotheses and build next steps. Proven ability to conduct research independently (publication or packages/libraries).

Desirable Qualifications:
--- Industry experience
--- Research experience in aging or tissue regeneration
--- Experience in human genetics and/or computer vision would be a plus.

Why Novartis?
766 million lives were touched by Novartis medicines in 2021, and while we're proud of this, we know there is so much more we could do to help improve and extend people's lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world's toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!

The pay range for this position at commencement of employment is expected to be between $130,400 - $195,600/ year; however, while salary ranges are effective from 1/1/23 through 12/31/23, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

Keywords: Sandoz International GmbH, San Diego , Computational Biologist/Data Scientist - Regeneration Engine, Other , San Diego, California