Hi there, I'm Siddhi, Talent Expert with Collabera LLC. Hope this message finds you well! We're actively hiring for top performers, and I think you could be a great fit. Why apply now? Positions are filling fast, and we're hiring immediately. If this resonates with you, I'd love to chat about how your background aligns with this opportunity. Let's explore if it's the right next move for you. Ready to connect?

Email:

siddhi.kadakia@collabera.com or

Phone:

(847)-440-1112

Job Title:

Associate Scientist Location:

Thousand Oaks, CA 91320

Work Arrangement:

100%

Onsite Schedule:

Monday-Friday, 40 hours/week

Contract:

Initial assignment, with possible extension

Interview:

Phone/Teams; possible panel interview with the full team

Pay Rate :

$20.00 - 23.00 per hour Minimum Qualifications Master's degree, OR Bachelor's + 2 years of experience, OR Associate's + 4 years, OR High school/GED + 6 years Preferred degrees: Analytical Chemistry, Biochemistry, Computer Science, Bioinformatics, or related field. Top 3 Must-Have Skills Modern AI & programming: Claude Code, Codex, Databricks, Python, or similar tools.

Statistical analysis:

Experience with statistical analysis software and data processing.

Laboratory/sample preparation:

Strong hands-on experience with manual and/or automated sample preparation. Core Technical Requirements Protein/peptide mass spectrometry

LC-MS/MS

Peptide mapping mAb characterization PTM identification and quantification Intact mAb

LC-UV-MS

analysis Mass deconvolution Protein/peptide/glycan characterization Reduction and alkylation of disulfide bonds Enzymatic digestion of monoclonal antibodies Manual and automated sample preparation Hamilton liquid-handling automation Statistical data processing Mass spectrometry data post-processing and reporting Preferred Software/Tools Python Claude Code Codex Databricks BioPharma Finder Skyline Byonic Byos Expressionist Statistical analysis software Day-to-Day Responsibilities Characterize pre-clinical monoclonal antibody drug candidates using LC and mass spectrometry. Prepare mAb samples through reduction, alkylation, and enzymatic digestion. Perform

LC-MS/MS

peptide mapping and analyze data for PTM identification and quantification. Develop software/data-processing tools for mass spectrometry data aggregation, reporting, and post-processing. Use Python and modern AI/programming tools to improve analytical workflows. Support automation of sample preparation and peptide digestion using Hamilton liquid handlers. Perform

LC-UV-MS

characterization of intact mAbs. Conduct mass deconvolution and identify mAb forms and fragments. Generate scientific data supporting regulatory submissions, patents, and publications. Evaluate emerging MS-based technologies for therapeutic protein characterization. Document, present, and communicate scientific findings in a multidisciplinary environment.

Best-fit candidate:

A Scientist/Associate Scientist with a background in analytical chemistry, biochemistry, bioinformatics, or protein characterization, with hands-on LC-MS/MS and mAb characterization experience plus strong Python/statistical/data-processing skills.

Major selling point:

This is not a traditional wet-lab-only Associate Scientist role. The strongest candidates will combine biotherapeutic mass spectrometry + laboratory sample preparation + data analysis/programming + modern AI tools.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - These all are subject to applicable eligibility).