Waste Characterization Specialist Jobs in California

Direct experience with characterization techniques such as ICP-OES, IC, GC-MS as well as lab skills such as precision pipetting and weighing

1-2 years of hands-on chemical lab experience, in academic or industry environment

Strong foundation in lab safety with good organizational skills

Experience working with quality control and some of the statistical analysis that come with it (Control Charts, MSA, Control Limits)

Combine data from multiple characterization tools to establish connections between process parameters and cell performance

Improve existing SOP of analytical methods with the aim of decreasing noise and augmenting instrument precision

C. Other Knowledge, Skills or Abilities Required

Communicates with other supervisors and managers about operations and/or dispatch issues.

Completes and maintains a variety of reports as directed by the department manager.

Uses software tools to manage a variety of tasks, such as procurement, time and attendance, safety incidents, and contract labor.

Education: High school diploma or G.E.D. (accredited)

Experience: No prior work experience required.

May manage, support and expand local buy-back centers.

One year of related experience in resource recovery (e.g., waste disposal, recycling), or training.

Develops strategies to effectively manage current and future challenges and opportunities; develops recommendations and actionable plans.

Demonstrates ability to use computers and technology capabilities.

Demonstrates strong proficiency and knowledge in area(s) of expertise as well as company business and proficiency in strategic and financial processes.

The largest employee owned resource recovery company in the industry with terrific benefits to help you prosper.

Exceptional organizational & time management skills, and attention to detail.

Experience/knowledge with expression and purification of recombinant therapeutic proteins including design and execution from DNA to protein

Experience and knowledge of protein and antibody structure, sequences, engineering and design.

Experience/knowledge of machine learning and artificial intelligence for the ab initio design and optimization of biologics.

Skills/Knowledge in one or more of the following areas are a plus:

Manage lab/equipment organization and maintenance.