OXBRIDGE CLINICAL IS HIRING
Biophysicist, Photonics and Bioelectronics
Location: Cambridge, MA, onsite at The Engine | Full time
About Oxbridge Clinical
Oxbridge Clinical is building the new, ultra fast diagnostics technology for infections, contaminations, sterility breaches, and antimicrobial resistances, in minutes instead of days. Our platform spans industries: it works across healthcare, food and beverage, pharmaceuticals, cosmetics, and far beyond. Our lab is based at The Engine, MIT's hub for tough tech companies in Cambridge.
This is applied science with a bold ambition: change how fast a pathogen or contamination event gets identified, how fast the right decision gets made, and over time, how much damage resistant pathogens are able to do. If you have spent years refining one corner of a problem in academia or at a large company, this is a chance to see your own work move at the speed of lightning and reach the outside world.
About the Role
We are looking for a Biophysicist to be part of building the physical core of our sensing platform: the optics, electronics, and fluidics that work together to turn a faint signal into reliable data.
You will work shoulder to shoulder with our founding science and engineering team from day one. Your decisions on optics, electronics, and fluidics will shape how fast and how accurately the platform develops and performs.
What You Will Do
• Design and characterize optical systems: lenses, objectives, collimation, and focusing
• Build and align laser based excitation and detection systems on a photonic bench, using tools such as Thorlabs hardware
• Design front end electronics for small signal detection in high noise environments: amplification, instrumentation amplifiers, and shielding
• Apply fluidics physics to the design of sensing systems
• Work across optics, electronics, and fluidics to build one integrated sensing system
• Support experimental design and validation
What You Bring
• PhD in Biophysics, Physics, Electrical Engineering, or a related field
• Theoretical and practical understanding of photonics, including optics, lenses, and objectives
• Hands on experience with a photonic bench, familiarity with Thorlabs or equivalent hardware
• Working knowledge of lasers: collimation and focusing
• Electronics for small signal, high noise environments: amplification, instrumentation amplifiers, and shielding
• Theoretical understanding of fluidics physics
• Bioelectronics: comfort working at the interface of electronics and biology
Bonus Points
• Experience with fluorescence in biological contexts
• Python, and comfort with PyTorch or Keras for applied machine learning
• Hands on experience with microfluidics
What We Offer
• Salary of $80,000 to $110,000, matched to experience
• Comprehensive health, dental, and vision insurance (employer sponsored)
• Equity grant with a standard 4 year vest and 1 year cliff
• Publications and patent co-authorship, with credit as co-author on the papers and patents you help develop
• Your own research budget to organize and execute your experiments
• Direct, daily access to the founders, not six layers of management between you and a decision
• The chance to help build the next generation of diagnostic detection technology
Why This Role Is Different
As one of our first hires, you will work closely with the founders from week one and actively shape the technology behind the next generation of pathogen and contamination detection.
How to Apply
Send your CV and motivation letter to [email protected].
Skills Required
- PhD in Biophysics, Physics, Electrical Engineering, or a related field
- Theoretical and practical understanding of photonics, including optics, lenses, and objectives
- Hands-on experience with a photonic bench and Thorlabs or equivalent hardware
- Working knowledge of lasers, including collimation and focusing
- Experience with electronics for small-signal, high-noise environments, including amplification, instrumentation amplifiers, and shielding
- Theoretical understanding of fluidics physics
- Comfort working at the interface of electronics and biology
- Experience with fluorescence in biological contexts
- Python and familiarity with PyTorch or Keras for applied machine learning
- Hands-on experience with microfluidics







