Key Responsibilities:

• Analyzing data from directed evolution campaigns and designing AAV capsid libraries using statistical and machine learning models.
• Custom software development for analysis and machine learning-based engineering of screened capsid sequences and in-silico design of novel capsid variants.
• Development of new experimental methods for preparing Illumina and long read sequencing libraries in the lab.
• Maintaining up-to-date knowledge of emerging technologies and scientific approaches in the field of gene therapy.
• Preparing summaries of data and present internally to colleagues and management.
• Drafting SOPs, following protocols, diligently documenting experimental data in electronic lab notebooks, and authorizing scientific reports for internal documentation or regulatory submissions.
• Leading and contributing to publications and presentations at industry conferences and/or business meetings.
• Actively supporting a culture of innovation, learning, respect, and trust.

Essential Requirements:

• Educational Background: Ph.D. Bioinformatics, Computational Biology, Computer Science (recent Ph.D. welcome to apply) MS degree in bioinformatics, computational biology, computer science, structural biology or a related field with 4 years of relevant industry research experience
• Proficiency in Python and/or R programming languages.
• Prior experience in analyzing Illumina next-generation sequencing data from run QC, read preprocessing, analysis pipeline, and generation of final reports with interpretation and plots.
• Experience with workflow management software such as Snakemake or Nextflow.
• Experience with Amazon Web Services usage for cloud computing workflows and associated programming APIs.
• Machine learning and statistical model experience with biological sequences.
• Independent and critical thinker, multi-tasker, and problem solver with strong verbal and written communication skills, and a team-first mindset.

Desirable Requirements:

• Professional software engineering experience with version control, testing, and code reviews is strongly preferred.
• Familiarity with long read sequencing is a plus.
• Prior wet-lab experience in molecular biology and preparing sequencing libraries.
• A record of productivity and scientific excellence based on consistent high-impact publications, patents, and/or external presentations. 

Novartis Compensation and Benefit Summary: The pay range for this position at commencement of employment is expected to be between: $103,600 and $192,400/year; however, while salary ranges are effective from 1/1/25 through 12/31/25, 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 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.