Analytical Scientist II — LNP Characterization & HPLC

RDPartners

San Diego (CA)

On-site

USD 77,000 - 97,000

Full time

6 days ago
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Benefits offered by this job

Medical insurance
Dental & Vision insurance
401k plan
Employee Assistance Program
Long-term disability
Weekly payroll
Expense reimbursement
Online timecard approval

Job summary

R&D Partners in San Diego, CA is seeking a Scientist II – Analytical to analyze lipid nanoparticles and related components using HPLC and BLI. You will develop methods and maintain detailed records of analytical data.

The role requires 5+ years in pharmaceutical sciences or related field, experience with gradient-elution HPLC (RP/IPRP/AEX), and familiarity with LCMS or SPR is desirable. You will collaborate with cross-functional teams to ensure data-driven decisions.

Qualifications

  • Master’s or Bachelor’s degree with 5+ years experience in pharmaceutical sciences or related field.
  • Experience developing methods in gradient-elution HPLC modalities (RP, IPRP, or AEX).
  • Experience with LCMS or SPR is desirable.

Responsibilities

  • Work at the direction of Analytical scientists to analyze lipid nanoparticles (LNPs) using HPLC and BLI.
  • Develop methods to characterize LNPs and LNP components.
  • Establish relationships between physiochemical characteristics and efficacy/safety.
  • Maintain detailed records of analytical data.
  • Interface with other functional teams.

Skills

LNP analysis
Data interpretation
Attention to detail

Education

Master's or Bachelor's degree in pharmaceutical sciences or related field

Tools

HPLC
BLI
LCMS
SPR

Job description

R&D Partners in San Diego, CA is seeking a Scientist II – Analytical to analyze lipid nanoparticles and related components using HPLC and BLI. You will develop methods and maintain detailed records of analytical data.

The role requires 5+ years in pharmaceutical sciences or related field, experience with gradient-elution HPLC (RP/IPRP/AEX), and familiarity with LCMS or SPR is desirable. You will collaborate with cross-functional teams to ensure data-driven decisions.

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