InSyte Bio
This range is provided by InSyte Bio. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Compensation Base pay range: $65,000.00/yr - $83,500.00/yr
Role overview You will aid in the development of machine learning algorithms for intraoperative computer vision and user interface for InSyte Bio’s platform for molecularly guided surgery. We are looking for an outstanding software engineer (BS/BA with lab experience in HW/SW co-design). Experience deploying machine learning or computer vision algorithms in applications such as robotics, and a passion for innovative approaches to solving engineering challenges, are desired.
Being comfortable with computer vision, localization algorithms, image processing, co-registration across imaging modalities, 3D visualization, and data integration from multiple sensor streams is a major plus.
What You Will Be Doing Design and build the user interface to enable rapid, quantitative visualization of image and sensor data. Collaborate with surgical co-advisors to optimize the interface and ensure seamless integration into the operating room. Develop machine learning algorithms that combine data from our custom sensor device with live video to support surgical guidance.
What You Can Expect
A fast-paced, innovative, multidisciplinary environment spanning engineering, optics, biology, and oncology as we redefine cancer surgery. Work with the founder and a growing team on a first-in-class intraoperative imaging platform.
Opportunities for growth and exposure across multiple verticals including software engineering, electronics, optics, biology, and surgery.
Equity
Collaboration with leaders in imaging and surgery
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 (class or personal projects).
Work well in a close-knit collaborative environment. Strong organizational skills for managing multiple stakeholders and bringing the product together.
Hands-on laboratory experience with electronics (formal education/coursework/degree is less important than hands-on lab work)
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
About InSyte Bio InSyte Bio is an early-stage startup dedicated to dramatically improving cancer outcomes by ensuring cancer surgeries remove all tumor cells. The company aims to reduce the need for additional surgeries, chemotherapy, or radiation by enabling more complete tumor cell removal in a single operation.
Equity, benefits, and culture Compensation is commensurate with experience and includes a competitive base pay and equity with upside in the company’s early stage. Leadership opportunities and titles are available. Sign-on/relocation bonuses and milestone-based bonuses may be provided. InSyte Bio offers a full range of benefits, including health care, retirement, and vacation days. The company is committed to a diverse and welcoming environment. Employment decisions are made without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by law.
Important note InSyte Bio does not accept unsolicited applications submitted by third-party recruiters or agencies. Any resume or application submitted without a vendor agreement will be considered unsolicited and may not be compensated.
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Compensation Base pay range: $65,000.00/yr - $83,500.00/yr
Role overview You will aid in the development of machine learning algorithms for intraoperative computer vision and user interface for InSyte Bio’s platform for molecularly guided surgery. We are looking for an outstanding software engineer (BS/BA with lab experience in HW/SW co-design). Experience deploying machine learning or computer vision algorithms in applications such as robotics, and a passion for innovative approaches to solving engineering challenges, are desired.
Being comfortable with computer vision, localization algorithms, image processing, co-registration across imaging modalities, 3D visualization, and data integration from multiple sensor streams is a major plus.
What You Will Be Doing Design and build the user interface to enable rapid, quantitative visualization of image and sensor data. Collaborate with surgical co-advisors to optimize the interface and ensure seamless integration into the operating room. Develop machine learning algorithms that combine data from our custom sensor device with live video to support surgical guidance.
What You Can Expect
A fast-paced, innovative, multidisciplinary environment spanning engineering, optics, biology, and oncology as we redefine cancer surgery. Work with the founder and a growing team on a first-in-class intraoperative imaging platform.
Opportunities for growth and exposure across multiple verticals including software engineering, electronics, optics, biology, and surgery.
Equity
Collaboration with leaders in imaging and surgery
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 (class or personal projects).
Work well in a close-knit collaborative environment. Strong organizational skills for managing multiple stakeholders and bringing the product together.
Hands-on laboratory experience with electronics (formal education/coursework/degree is less important than hands-on lab work)
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
About InSyte Bio InSyte Bio is an early-stage startup dedicated to dramatically improving cancer outcomes by ensuring cancer surgeries remove all tumor cells. The company aims to reduce the need for additional surgeries, chemotherapy, or radiation by enabling more complete tumor cell removal in a single operation.
Equity, benefits, and culture Compensation is commensurate with experience and includes a competitive base pay and equity with upside in the company’s early stage. Leadership opportunities and titles are available. Sign-on/relocation bonuses and milestone-based bonuses may be provided. InSyte Bio offers a full range of benefits, including health care, retirement, and vacation days. The company is committed to a diverse and welcoming environment. Employment decisions are made without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by law.
Important note InSyte Bio does not accept unsolicited applications submitted by third-party recruiters or agencies. Any resume or application submitted without a vendor agreement will be considered unsolicited and may not be compensated.
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