Senior Scientist, Analytical Genomics

Novartis•Cambridge, MA

11d•$93,800 - $174,200•Onsite

About The Position

We are seeking a highly skilled and motivated scientist to join our laboratory, specializing in NGS and in advanced spatial and single-cell genomics. The successful candidate will be responsible for the planning, execution, and optimization of experiments using spatial transcriptomics and single-cell protocols and instrumentation. This role is pivotal for supporting research projects, driving innovation, and ensuring high-quality data generation.

Requirements

BS or MS in Molecular Biology, Genomics, Biochemistry, or a related field, with 4+ years of hands-on experience with spatial transcriptomics and/or single-cell sequencing technologies.
Strong understanding of molecular biology techniques like PCR, qRT-PCR, enzymatic reactions, DNA & RNA purification and manipulation.
Proficiency in protocol development, troubleshooting, and optimization for complex genomics assays.
Knowledge of NGS library preparation and sequencing workflows.

Nice To Haves

Experience with tissue processing and imaging, IHC, microscopy.

Responsibilities

Plan and perform experiments utilizing state-of-the art single cell and spatial profiling platforms.
Implement and optimize protocols for sample preparation, library construction, and sequencing.
Ensure rigorous documentation and reproducibility of all laboratory procedures.
Operate and maintain relevant instruments, including troubleshooting and routine care.
Train and mentor junior staff on instrument use and protocol adherence.
Perform initial data processing for spatial and single-cell genomics datasets using appropriate bioinformatics tools.
Collaborate with Data Scientists to interpret results, prepare reports, and present findings internally.
Work closely with cross-functional teams, including molecular biologists, bioinformaticians, and project leaders at Novartis Biomedical Research, local and remote.
Contribute to experimental planning and reporting.
Document work and monitor quality control measures to ensure data integrity and compliance with laboratory standards.
Stay current with advances in single-cell and spatial genomics technologies and integrate best practices into lab workflows.