Analytical Chemistry Scientist
Octant Bio
| Company | Octant Bio |
| Category | Science & Research |
| Location | Emeryville |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 3 Aug 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
COMPANY
Octant is a clinical stage drug discovery company developing correctors for protein misfolding diseases with active programs in rare diseases and oncology. Octant’s platform, The Navigator, combines high-throughput synthetic biology, generative chemistry, and AI/ML to discover and develop therapeutics against complex cellular mechanisms in human cells.
JOB DESCRIPTION
We are seeking an innovative Analytical Scientist to join our dynamic and ante-disciplinary research team. A core focus of your role will be to expand the Octant Navigator platform for the generation of low-cost, high-throughput ADMET datasets to enable high quality mechanistic DMPK models.
The ideal candidate will bring a fresh perspective to traditional analytical chemistry, leveraging both lab-based and computational or data analysis skillsets to drive innovation. You are motivated by Octant’s mission and have a team-first mindset. You bring strong technical skills with cutting-edge analytical methods, excellent communication, and an ability to thrive in a dynamic and fast-paced environment.
IN THIS ROLE, YOU WILL:
Develop and implement high-throughput DMPK assays that are suitable for ML methods
Identify, develop, and deploy chromatographic and mass spectrometric methodologies — including reversed-phase, HILIC, SFC, and 2D-LC/MS separations — to analyze small molecules to support both our in-house high throughput synthesis capabilities and ADME/PK property characterization.
Design, optimize, and troubleshoot LC-MS/MS and UHPLC methods from first principles, including sample preparation, chromatographic separation, and data interpretation across complex biological matrices
Analyze and develop methods to interpret complex analytical data using R, python, and/or other computational tools, and present findings to internal and external project teams
Work hand–in-hand with machine learning scientists, software engineers, biologists, chemists, and automation engineers.
THIS JOB MIGHT BE GREAT FOR YOU IF YOU HAVE:
A PhD in Analytical Chemistry, Biochemistry, Chemistry, Chemical Biology or a related discipline
3-5 years of post-PhD experience in analytical/bioanalytical research. Industry experience preferred.
Deep technical expertise with analytical instrumentation including, but not limited to, HPLC, UPLC, LC-MS, LC-MS, CAD/MS, EchoMS (preferred), and various spectroscopic techniques
Hands-on chromatographic method development experience across multiple modes — reversed-phase, normal-phase, HILIC, SEC, SFC, and 2D-LC/MS — with the ability to select and optimize the right separation strategy for a given analyte or matrix
Strong familiarity with DMPK and its role in small molecule drug discovery. Experience with BBB assay development preferred, but not required.
Experience with chromatography and/or MS data systems (e.g., SciexOS, Xcalibur, MassHunter, Chromeleon, Virscidian, Skyline) and the ability to independently analyze complex chromatographic datasets
Strong computational skills including familiarity with R, python, command-line interfaces and/or statistical analysis
Experience with laboratory automation platforms and high-throughput screening methods
Flexibility to rapidly changing priorities and project needs, with the ability to thrive in a fast-paced, collaborative environment. Comfortable with ambiguity and able to pivot strategies as needed to meet project goals.
Strong problem-solving and decision-making abilities, with a proactive approach to anticipating potential issues and addressing them before they become critical.
A drive to build a successful company in your role as an analytical scientist and beyond.
Optional: Along with your application, please share a paper/preprint/software repo that best highlights your strengths so we can better understand work you've led. If there is nothing public, please summarize that