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Build and enhance backend and frontend to interface with our biosensor platform (web and desktop).
Analyze, design, develop and debug backend software for interfacing and automation of hardware. This is done primarily using Django at the backend.
Build new user-facing features that include analytics, charts and data visualization.
Qualifications and Desired Skills:
B.S/M.S in Computer Science, Information Technology, Electrical Engineering or related. field, or equivalent professional experience.
Extensive experience with programming in Python, Django, Nginx, and docker
Expert in structuring and designing relational databases using Postgresql. Expertise with other database platforms (e.g. SQL, NoSQL etc.) is a plus.
Experience with creating frameworks to extract data via APIs. Prior experience with or understanding of WebSockets or REST (or designing APIs) highly desirable.
Must be comfortable switching and combining development environments, standards, and code bases quickly and effectively.
Proficient at creating self-contained, reusable, and testable modules and components.
Writing automated tests to verify expected behavior.
Experience with quickly cleaning, analyzing and making sense of medium-sized, complex data sets.
Design process flows for integration of digital microfluidics onto active semiconductor device platforms - that includes development and execution Standard Operating Procedures (SOPs) for device fabrication and testing.
Lead the fabrication effort particularly focussed on incorporating microfabrication processes, novel materials and devices into a digital microfluidic platform.
Develop new processing techniques to produce novel biosensor platforms. This position involves significant hands on work in a cleanroom and a wet lab - working with a range of materials.
Knowledge of experimental design is a critical skill, especially for design of short loop experiments to quickly validate process flows.
Post fabrication and packaging of microfluidics and semiconductor devices.
Perform experiments to support product development, troubleshooting and QC.
Collaborate with external partners for process transfer aimed at manufacturing of consumable cartridges.
Design and model device physics to predict and understand device response.
Qualifications and Desired Skills:
M.S./PhD in Mechanical Engineering, Materials Science, Electrical Engineering or other related degree concentration, with 3 years of experience working with digital microfluidic platforms including developing process flows and hands-on fabrication experience in a clean room is required.
Working experience with digital microfluidics for developing assay is required.
Electrical testing and characterization experience with semiconductor devices and microfluidics is required.
Programming using Python, C/C++ is preferred.
Knowledge of semiconductor physics, materials and processing is preferred. You will play in a significant role in the process integration into semiconductor devices
Fabrication experience thin film metallization and dielectric deposition, photolithography, 3D chip stacking, wire-bonding, laser machining, dry and wet etching, wafer bonding (anodic, fusion, etc.) and wafer polishing is preferred.
Fabrication experience with compound semiconductor materials and devices along with knowledge of working with polymer materials such as PDMS, COC etc. is required.
Characterization using thin film metrology, surface profilers, SEM, EDS, XPS and FTIR is preferred.
Experience with surface chemistry, surface functionalization and biochemical assays is a plus.
Clean room experience at the Berkeley Marvell Nanofabrication laboratory is a significant plus.
Extensive experience in developing, building, and applying novel microfluidic solutions.
Comfortable with rapid prototyping and injection molding.
Experience with SolidWorks or other CAD design software is a plus.
Mask Layout experience using L-Edit is a plus.