Research Assistant II


We are seeking a candidate who is highly motivated for laboratory bench research and technology development and is well organized with excellent communication skills. The major responsibility is to conduct high-throughput antibody based proteomics array and bead assays as a core service in support of collaborative research with a broad range of BCM faculty. Moreover, the position requires ability to develop new technology platforms and design research experiments. Additional responsibilities include data management and reporting, Q/C and Q/I procedures, maintenance of high-end instrumentation, and literature searching and summarizing.

Job Duties

- Perform all targeted proteomic platform laboratory technologies that are standard operating procedures (SOP) as Core services.
- Develop new proteomic technology platforms which would expand the range of Core services.
- Design and conduct experiments needed for platform development and other projects.
- Search literature and summarize information about the most advanced and updated proteomic technologies and technology needs in the field.
- Prepare experimental samples for targeted proteomics including cell and tissue protein extracts, body fluids, serum/blood, Q/C and quantification of protein samples and purification of proteins and other samples used as controls.
- Be able to perform SOPs in an independent manner.
- Q/C analysis of raw proteomic data sets and management of processed primary data.
- Careful, timely and thorough documentation and reporting of Core supported user projects.

Minimum Qualifications
  • Bachelor's degree in a Basic Science or a related field.
  • Three years of relevant experience.

Preferred Qualifications
  • Master's degree in biochemistry or equivalent degree in biological sciences.
  • Areas of research experience include protein biochemistry, protein isolation and purification, cell and tissue fraction for extraction of proteins, quantification of proteins, immunochemical methods for protein detection, QC procedures, data analysis software and computational skills with regard to biotechnology.
  • Other preferred experience is with automated robotics instrumentation and associated software platforms, cell culture methods and high throughput assays.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.



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