Senior Scientist - Analytical Chemistry

3d3 days ago

Osmo

Elizabeth, US · Full-time · $150,000 – $180,000

About this role

Osmo is a digital olfaction company on a mission to give computers a sense of smell. The Senior Scientist drives strategy and execution of GC/MS-based characterization programs. This high-autonomy role powers the fragrance discovery engine and machine learning infrastructure.

Own end-to-end analytical strategy including method design, validation frameworks, and data quality standards. Define sample preparation methodologies for headspace, liquid-phase, and solid-phase extraction. Maintain the high-throughput analytical pipeline for data integrity and reproducibility.

Partner with Platform and ML teams to structure analytical data for computational use. Determine methods for new assignments independently while coordinating execution. Enforce high standards of scientific rigor and data quality across programs.

Mentor junior and mid-level scientists while establishing best practices. Serve as internal expert resource for analytical chemistry questions. Write, edit, and audit experimental protocols supporting Osmo's scientific programs.

Requirements

PhD in Analytical Chemistry, Flavor/Fragrance Chemistry, Atmospheric Chemistry, Cosmetic Chemistry, or related field with 5+ years of post-degree experience
Deep hands-on expertise in GC-MS method development and validation for targeted quantitation and untargeted profiling
Familiarity with MassHunter Qual/Quant or comparable analysis platforms
Advanced proficiency in sample preparation techniques including LLE, SPE, headspace, and SPME
Demonstrated experience operating with high autonomy in defining analytical scope and coordinating execution
Proven ability to set technical direction including authoring SOPs and establishing QC frameworks
Excellent cross-functional communication skills with non-chemistry stakeholders such as ML engineers

Responsibilities

Own the end-to-end analytical strategy for GC-MS-based programs including method design and validation frameworks
Define and evolve sample preparation methodologies for headspace, liquid-phase, and solid-phase extraction
Maintain and improve the high-throughput analytical pipeline ensuring data integrity and reproducibility
Partner with Platform and ML teams to shape how analytical data is structured and leveraged computationally
Determine methods and procedures for new analytical assignments independently
Enforce high standards of scientific rigor and data quality across the team
Mentor junior and mid-level scientists and establish best practices for analytical capability