Job Information
University of Washington RESEARCH SCIENTIST/ENGINEER ASSISTANT in Seattle, Washington
Req #: 241299
Department: BIOCHEMISTRY
Posting Date: 11/25/2024
Closing Info: Open Until Filled
Salary: $4,000 - $6,250 per month
Shift: First Shift
Notes: As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here. (https://hr.uw.edu/benefits/wp-content/uploads/sites/3/2018/02/benefits-professional-staff-librarians-academic-staff-20230701_a11y.pdf)
As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world.
UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty.
The Department of Biochemistry has an outstanding opportunity for a Research Scientist/Engineer Assistant to join their team.
This position is engaged in the field of spatial omics technology development, specifically focusing on advancing automated manufacturing methods for high-resolution spatial transcriptomics platforms. The work involves integration of bioengineering, robotics, and microfluidics to improve the efficiency and precision of molecular assays.
POSITION PURPOSE
The research project aims to optimize and automate the fabrication of polony gel arrays for use in spatial transcriptomics. This technology supports the study of tissue architecture at submicron resolution, enabling breakthroughs in understanding molecular mechanisms underlying diseases such as cancer, neurodegenerative disorders, and kidney disease.
DUTIES AND RESPONSIBILITIES Automation of Polony Gel Stamping (50%)
Design, fabricate, and test flow cells to streamline gel fabrication.
Develop and optimize robotic control systems for automated gel stamping.
Troubleshoot and refine automation protocols for reliability and scalability.System Design and Integration (25%)
Collaborate with researchers to design and prototype customized flow cells and robotic components.
Integrate hardware and software solutions for seamless operation of the polony gel stamping system.Data Analysis and Reporting (15%)
Collect and analyze data from stamping processes to evaluate performance and reproducibility.
Document findings, improvements, and troubleshooting steps to ensure system optimization.Lab Maintenance and Team Collaboration (10%)
Maintain and calibrate automation equipment and ensure proper lab protocols are followed.
Work closely with team members to adapt automation systems to emerging research needs. MINIMUM REQUIREMENTS
Bachelors Degree in Electrical Engineering, Mechanical Engineering, Computer Science and Engineering and less than one year of relevant experience, OR combination of education/experience. Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration. ADDITIONAL REQUIREMENTS Technical Knowledge:
Strong understanding of robotics and automated systems for precision engineering tasks.
Basic knowledge of microfluidics and flow cell design.Software and Programming Skills:
Proficiency in programming languages used for robotics, such as Python, MATLAB, or C++.
Experience with CAD software (e.g., SolidWorks, AutoCAD) for designing mechanical components.Problem-Solving Skills:
Ability to troubleshoot and optimize robotic workflows and identify performance bottlenecks.
Strong analytical skills for interpreting automation data and optimizing system design.Collaboration and Communication:
Effective written and verbal communication skills for documenting processes and collaborating with team members.
Ability to work in an interdisciplinary team, integrating input from engineers and biologists.Attention to Detail:
High precision in designing, testing, and implementing automation systems for reproducibility and reliability. DESIRED QUALIFICATIONS Advanced Engineering Knowledge:
Expertise in engineering design.
Experience with 3D printing for prototyping flow cell designs.Automation and Robotics Expertise:
Familiarity with advanced robotics platforms (e.g., OpenTrons, Beckman Coulter, or Tecan automation systems).
Knowledge of machine learning techniques for optimizing robotic workflows (desirable but not essential).Biology and Chemistry Background:
Basic understanding of molecular biology or biochemistry, especially for handling gels, buffers, or related materials.Interdisciplinary Integration:
Prior experience in integrating robotics with biological workflows in a research or industrial setting.
Knowledge of spatial omics technologies, including spatial transcriptomics or related high-throughput methods.Professional Skills:
Ability to manage multiple tasks efficiently and work under deadlines.
Proactive approach to identifying and solving project challenges. Application Process: The application process may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment, you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are access ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.