Software Engineer in United Estate

You will aid in the development of machine learning algorithms for intraoperative computer vision and user (surgeon) interface for InSyte Bio’s innovative platform for molecularly guided surgery.

We are looking for an outstanding software engineer (BS/BA with lab experience in HW/SW co-design). In addition, we are seeking experience in deploying machine learning or computer vision algorithms in applications such as robotics, along with a passion for innovative, out-of-the-box approaches to solving engineering challenges.

Being comfortable with computer vision along with localization algorithms, image processing, co-registration across different imaging modalities, 3D visualization, and data integration from multiple sensor streams is a major plus.

What You Will Be Doing

Design and build our user interface to enable rapid, quantitative visualization of image and sensor data. You will collaborate with our surgical co-advisors to optimize the interface and ensure seamless integration into the operating room. Additionally, you will develop machine learning algorithms that combine data from our custom sensor device with live video to support surgical guidance.

What You Can Expect

1. A fast-paced, innovative, multidisciplinary environment spanning engineering, optics, biology, and oncology as we redefine cancer surgery. Working closely with the founder, Dr. Anwar, and a growing team of innovative engineers and scientists on a first-in-class intraoperative imaging platform.
2. Opportunities for growth and expanding learning/exposure over multiple verticals including software engineering, electronics, optics, biology and surgery.
3. Equity
4. Work with key leaders in the field of imaging and surgery.
5. Collaborations with top universities as sites of first clinical trials.

Requirements

A degree (BS, BA or equivalent) in Physics, Math, or Engineering (Computer science, Electrical Engineering, ECE, EECS, or Bioengineering) or closely related field. Prior work focused on computation and programming along with lab and/or research experience is required. For all applicants, please share a summary of your projects or work. This may be class or personal projects.

Work well in a close-knit collaborative environment.

Strong organizational skills for managing multiple stakeholders and bringing the product together.

Essential Skills/Experience

• Hands-on laboratory experience with electronics (formal education/coursework/degree is less important than someone who has spent time in the lab, making something).
• Creating fast, well-written software in C, C++, and/or Python

Nice-to-Have Skills/Experience

• Advanced computer vision, localization, navigation algorithms
• Experience with machine learning algorithms for image recognition and 3D rendering
• Good engineering laboratory skills
• Fusion of sensor streams
• Image processing
• AR/VR Development
• Hands on experience with software development in a team context

Position Details

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.

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. InsSyte 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 Bio’s 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 InSyte’s 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.