Senior Software Engineer

Company: InSyte Bio

Location: Berkeley, CA

Posted on: July 08

About InSyte Bio

InSyte Bio is an early stage startup dedicated to dramatically improving cancer outcomes by ensuring that cancer surgeries remove most tumor cells. Currently almost a third of cancer surgeries leave cells behind because they cannot be seen or felt, doubling the risk that cancer returns, and requiring patients to get significant additional surgery, chemotherapy or radiation to try to mitigate this risk - often with poor results. Ensuring all tumor cells are removed in a single operation will be a major improvement in cancer care.

About the Role

You will have a leading role in the development of machine learning algorithms for intraoperative computer vision and user (surgeon) interface for InSyte Bios innovative platform for molecularly guided surgery. We are looking for an outstanding Computer Science Expert (PhD level or BS/MS with equivalent experience) with comfortability in advanced computer vision, localization algorithms, image processing, co-registration across different imaging modalities, 3D visualization and data integration from multiple sensor streams. It's a strong bonus if you have working knowledge or experience with hardware (FPGA, PCB design, assembly, debugging). You will closely work with a team of experts in electronics, optics, biology, and oncology as we redefine cancer surgery.

Qualifications

• A degree (MS, PhD, ScD) in Engineering (Computer science, ML/AI, Electrical, EECS, ECE, Bioengineering) or closely related field.
• BA/BS will be considered with 5 or more years of industry experience with demonstrable products/accomplishments.
• For all applicants, please share a summary of your projects or work.

Required Skills

• Works well in a collaborative environment, adaptable with respect to project tasks.
• Organized as you will need to keep track of multiple stakeholders in bringing together the product.
• Experience with advanced computer vision, localization, navigation algorithms.
• Experience with machine learning algorithms for image recognition and 3D rendering is a plus.
• Fusion of sensor streams in ML/AI/CV approaches.
• Image processing.

Preferred Skills

• Hands-on laboratory experience with electronics (formal education/coursework/degree is less important than someone who has spent time in the lab, making something).
• Working knowledge of CCDs, CMOS, and integration into imaging systems.
• Imager operation (CCD, CMOS, etc).
• Comfort with FPGA, PCB design and assembly.
• Good electrical engineering laboratory skills.

Remote/Hybrid/On-Site

Highly qualified candidates who wish to be fully remote - including non-US residents - are encouraged to apply.

Pay range and compensation package

Commensurate with experience, a competitive base-pay and equity package, which has significant upside given the company's early stage. Opportunities for a leadership role and title are available. Sign on/relocation bonus is provided. Milestone-based bonuses are also provided, significantly increasing the total compensation. InSyte Bio offers a full range of benefits, including health care, retirement, vacation days.

Equal Opportunity Statement

InSyte Bio is committed to a diverse and welcoming environment. Individuals seeking employment at InSyte Bio are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. InSyte Bio does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to InSyte Bio without a vendor agreement in place will be considered unsolicited and property of InSyte Bio, and InSyte Bio will not pay a placement fee.

Overview of InSyte Bio

InSyte Bios mission is to eliminate the recurrence by ensuring removal of all cancer cells during surgery. Nearly 1 in 3 cancer surgeries leave cells behind, doubling the rate that cancer returns. InSyte Bio has developed a revolutionary surgical imaging system that can detect cancer cells 10,000 times more precisely than existing solutions in real-time, during surgery, enabling surgeons and oncologists to effectively combat the spread of cancer. The key to our approach is an ultra-miniaturized molecular imager, directly integrated into virtually any surgical instrument, seamlessly operating in the complex, small minimally invasive cavities common to modern cancer surgeries. Unlike any other technology available, InSytes approach not only enables orders of magnitude more precision, but also enables imaging at the tissue surface and deep in tissue, where the earliest signs of cancer spread in lymph nodes can hide. This guides surgery in a far more personalized manner, potentially leading to significantly improved clinical outcomes. The technology has been developed (and patents issued), and InSytes near term goal is a first in human demonstration of this technology. With the ability to completely transform all cancer surgeries into molecularly guided procedures, we are poised to significantly improve the outcomes of the 600-800 thousand patients a year who undergo cancer surgery. Moreover, precision intraoperative imaging will guide cancer care throughout the arc of the patient's journey, shaping the need for postoperative therapy, such as radiation and chemotherapy - enabling these therapies to be allied in a much more personalized fashion.