Senior Expert Bioinformatics

Job Description Summary

Senior Bioinformatics Expert/Scientist within the Quantitative Science and Statistics group. Working in a highly collaborative environment the successful candidate will build and develop bioinformatics support to next generation sequencing (NGS) technologies and platforms in advancing cell and gene therapy platform. The successful candidate is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.

Job Description

Key Responsibilities:

• Work as a lead bioinformatics scientist both independently and as a member of cross-functional teams to lead the effort on NGS experimental design data analysis and interpretation.
• Develop bioinformatics pipelines for NGS data analysis data management and enabling data analysis pipelines in routine analysis. Provide troubleshooting and maintenance supports.
• Produce high quality written documentation including study protocols data analysis plans and reports.
• Refine algorithms and tools for sequencing data analysis and propose improvements.
• Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.
• Lead bioinformatics pipeline validation and transfer.
• Support the wider R&D team with general bioinformatics need

Essential Requirements:

• PhD in bioinformatics computational biology biostatistics molecular biology virology or related discipline.
• At least 5 years of relevant industry work experience is required.
• Strong domain knowledge in genomics excellent programming skills and deep experience with next-generation sequencing and analysis.
• End-to-end complete life cycle experience in analysis and workflow/pipeline development for major NGS platforms for mutation analysis genome mapping variant calling and interpretation.
• Strong communication skills ability to work both independently and collaboratively to manage multiple concurrent fast-paced projects and to work with multidisciplinary teams.
• Ability to set up bioinformatics computation systems from ground up.
• Experience in virology or viral gene therapy and working experience in GxP environment is considered a plus

The salary for this position is expected to range between $132300 and $245700 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 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 or call 1 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$132300.00 - $245700.00

Skills Desired

Bioinformatics Computer Science Data Analysis Data Science Drug Discovery Innovation People Management Waterfall Model