Jobs · Analyst · California

Process Development Senior Associate

BioSpace · Thousand Oaks, CA · 2 wk ago
AnalystFull-time

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)
  • Build a wide range of data and analytics solutions, from available commercial dashboarding tools such as TIBCO Spotfire, MS Smartsheet
  • 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

Qualifications

  • Masters degree
  • OR
  • Bachelors degree and 2 years of Scientific experience
  • OR
  • Associates degree and 4 years of Scientific experience
  • OR
  • High school diploma / GED and 6 years of Scientific experience

Preferred Qualifications

  • 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
  • Proficiency in at least one statistical software package (e.g. SAS, JMP or Minitab)
  • Experience with programming (e.g. Python, R, MATLAB) and database languages (e.g. SQL), as well as data visualization tools (e.g. Tableau, Spotfire, D3js)
  • 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)

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