Senior Associate Scientist

United Pharma

California

On-site

USD 90,000 - 140,000

Full time

8 days ago

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Job summary

United Pharma in California seeks a process development scientist who will plan and execute formulation and process development studies, applying core engineering and science skills. The role emphasizes UF/DF, lyophilization, and robust analytical testing.

You will document results, perform data analysis with JMP/SAS, and contribute to technology transfers while maintaining rigorous records and compliance with GMP practices.

Qualifications

  • Masters degree and 2 years of experience OR
  • Bachelor's degree and 4 years of experience
  • Experience in U/HPLC of various method types, UF/DF setup and operations, Lyophilization
  • Familiarity with pharmaceutical/biotechnology process development
  • Knowledge of Drug Product unit operations (i.e. ultrafiltration/diafiltration, filling, filtration, mixing) and analytical techniques (SEC, CEX, HIAC, MFI)
  • Understanding of protein stability and ADC familiarity preferred
  • Proficiency in at least one statistical software package (SAS, JMP or Minitab)
  • Excellent communication and organizational skills

Responsibilities

  • Participate in the planning and design of formulation and process development studies by applying basic science/engineering skills and prior knowledge
  • Participate in the execution and documentation of laboratory studies with a high degree of accuracy (e.g. UF/DF, filtration, freeze-thaw, stability)
  • Evaluate product and process performance through analytical testing (e.g. U/HPLC, particle analysis, moisture content)
  • Perform data analysis using statistical analysis software (e.g. JMP, SAS, etc.)
  • Apply advanced digital tools to automate data structuring, analyze large and diverse datasets and build intuitive visualizations.
  • Author/review technical protocols and reports
  • Participate in team meetings by sharing study designs, results and technical challenges

Skills

UHPLC
UF/DF
Lyophilization
Analytical methods
Data analysis
SAS/JMP/Minitab

Education

Masters degree
Bachelors degree

Tools

HPLC systems

Job description

  • Degree in Chemical Engineering, Biomedical Engineering, Biochemistry, Biotechnology, Pharmaceutics or related field
  • 1+ years of experience in pharmaceuticals/biotechnology that includes process characterization, formulation development, equipment design and implementation, technology transfers
  • Familiarity with pharmaceutical/biotechnology process development
  • Knowledge of Drug Product unit operations (i.e. ultrafiltration/diafiltration, filling, filtration, mixing, etc.) and experience with relevant analytical techniques (i.e. SEC, CEX, HIAC, MFI)
  • Understanding of physical/chemical stability of proteins and how process-related stresses impact molecule attributes and product quality. Familiarity with ADCs is preferred.
  • Proficiency in at least one statistical software package (e.g. SAS, JMP or Minitab)
  • Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and align with company policies
  • Self-motivation, adaptability and a positive attitude
  • Critical thinking, problem solving and independent research skills
  • Good organizational skills with strong attention to detail
  • Excellent communication (oral and written)
Basic Qualifications:
  • Masters degree and 2 years of experience OR
  • Bachelors degree and 4 years of experience
Must Have Skill Sets:
  • Experience in U/HPLC of various method types, UF/DF setup and operations, Lyophilization
Day to Day Responsibilities:
  • Participate in the planning and design of formulation and process development studies by applying basic science/engineering skills and prior knowledge
  • Participate in the execution and documentation of laboratory studies with a high degree of accuracy (e.g. UF/DF, filtration, freeze-thaw, stability)
  • Evaluate product and process performance through analytical testing (e.g. U/HPLC, particle analysis, moisture content)
  • Perform data analysis using statistical analysis software (e.g. JMP, SAS, etc.)
  • Apply advanced digital tools to automate data structuring, analyze large and diverse datasets and build intuitive visualizations.
  • Author/review technical protocols and reports
  • Participate in team meetings by sharing study designs, results and technical challenges
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