Scientist - Cell-Based Assay Development

6 days ago


Thousand Oaks, United States Planet Pharma Full time

Scientist – Cell-Based Assay Development & Execution


This will be 100% On-Site at our client, a large Biotech in Thousand Oaks, CA (local candidates only please). This position is a W2 contract (at-will) starting 1-year but extendable and open to being hired on FTE by the client at some point down the line based on performance and business. Benefits available during contract period.


We're looking for either recent PhD graduates, MS with 2+ years, or BS with 4+ years experience in cell-based assay development.


What you will do

Let’s do this. Let’s change the world. In this vital role you will be a part of the Therapeutic Discovery organization joining the Lead Discovery and Characterization Department in support of small molecule drug discovery pipeline.


  • The development and optimization of novel cell-based assays ensure successful implementation and routine execution of these assays to support HTS, lead optimization, and mechanism-of-action studies for promising therapeutic targets
  • Design and implement laboratory experiments, generate & interpret data supporting the successful development of new assays and test the biological effects of therapeutic agents
  • Design, implement, and optimize gene-editing workflows in a manner that enables development and evaluation of cell-based functional assays supporting therapeutic target screening or lead optimization studies
  • Learn, apply, and incorporate automation solutions during assay development, assay troubleshooting, mechanism-of-action studies, data analysis, and reporting
  • Investigate, identify, develop, and optimize new methods/techniques to generate reliable and reproducible data promptly
  • Semi-independently plan and implement experiments, adapt readily to changing project needs and develop sophisticated problem-identification and problem resolution skills
  • Maintain proficiency with the latest scientific literature and rationale surrounding drug targets and be an active contributor to the interpretation of results in group discussions
  • Show excellent collaboration and communication skills as this role requires an ability to work closely with other scientists in the group and across
  • Adherence to good laboratory conduct, documentation practices, and safety guideline


What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with these qualifications.

  • PhD degree with less than 5 years of relevant expeirence

Or

  • Master’s degree and 5 years of scientific experience

Or

  • Bachelor’s degree and 10 years of scientific experience


Preferred Qualifications:

  • Ph.D. degree, or a master’s degree with 5+ years postgraduate experience in cell and/or molecular biology or closely related field
  • Experience working as part of a multi-disciplinary team in a biopharmaceutical setting
  • Strong scientific foundation in the understanding and implementation of a wide range of cell-based assays (e.g., TR-FRET, BRET, AlphaLISA, HCS, luminescence and fluorescence-based reporter and/or label-free assays) with experience in the utilization of lab automation across assay development and screening
  • Track record of developing, implementing, and performing novel cell-based screening assays in microtiter plates to support early drug discovery research
  • Ability to design and implement gene editing (CRISPR knock out/in) workflows enabling the development of targets specific and disease-relevant cell-based assays
  • Capacity to identify, evaluate, implement, and become proficient in novel laboratory techniques
  • Ability to create and establish priorities, manage work plans, and meet timelines
  • A flexible approach with strong interpersonal, communication and problem-solving skills
  • Demonstrated initiative, teamwork, collaboration, and passion for developing technical expertise across assay development to routine execution
  • Familiarity with software and statistical platforms for the analysis of large data sets (e.g., Screener, Spotfire)



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