Senior Scientist, Analytical Chemistry

Osmo•Elizabeth, NJ

19h•$150,000 - $180,000

About The Position

Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. Osmo is seeking a Senior Scientist to drive the strategy and execution of GC/MS-based characterization programs that power our fragrance discovery engine and machine learning infrastructure. This is a high-autonomy role for an experienced analytical chemist who thrives at the intersection of rigorous small-molecule analytical chemistry and machine learning.

Requirements

PhD in Analytical Chemistry, Flavor/Fragrance Chemistry, Atmospheric Chemistry, Cosmetic Chemistry, or a related field with 5+ years of post-degree experience, or equivalent combination of advanced degree and demonstrated technical leadership
Deep, hands-on expertise in GC-MS method development and validation across both targeted quantitation and untargeted profiling
Familiarity with MassHunter Qual/Quant or comparable analysis platforms
Advanced proficiency in sample preparation techniques for complex matrices, including LLE, SPE, headspace, and SPME, with the ability to design novel approaches for non-standard substrates
Demonstrated experience operating with high autonomy in defining analytical scope, setting timelines, and coordinating others to execute without close supervision
Proven ability to set technical direction for a team or program, including authoring or redesigning SOPs, establishing QC frameworks, or leading analytical platform decisions
Excellent cross-functional communication skills, with a track record of translating complex analytical requirements into actionable plans for non-chemistry stakeholders (e.g., ML engineers, product teams)

Nice To Haves

Direct experience in the flavor and/or fragrance industry, particularly with odor-active compound analysis or consumer product characterization
Proficiency in Python or other scripting languages for analytical data processing, pipeline automation, or integration with computational workflows
Experience designing or contributing to analytical data infrastructure that feeds ML models or large-scale compound databases
Familiarity with chemometrics, multivariate data analysis, or other data-science-adjacent analytical approaches
Experience with GC-Olfactometry and Gerstel robotic systems

Responsibilities

Own the end-to-end analytical strategy for specific GC-MS-based programs, including method design, validation frameworks, and data quality standards for both targeted and untargeted analyses
Define and evolve sample preparation methodologies for headspace, liquid-phase, and solid-phase extraction of fragrance compounds from complex matrices and consumer products
Maintain and improve Osmo’s high-throughput analytical pipeline, ensuring data integrity, reproducibility, and compatibility with downstream machine learning workflows
Partner deeply with the Platform and ML teams to shape how analytical data is structured, stored, and leveraged computationally, acting as the chemistry-side technical owner of the data interface
Determine methods and procedures for new analytical assignments independently, coordinating execution across team members and collaborating functions as needed
Enforce and hold teammates and colleagues to high standards of scientific rigor and data quality
Mentor and technically develop junior and mid-level scientists, establishing best practices, reviewing work for scientific integrity, and elevating the team’s overall analytical capability
Write, edit, and audit analytical and experimental protocols
Serve as an internal expert resource and external-facing collaborator for analytical chemistry questions across Osmo’s scientific and commercial programs