Current open positions
Lead Computer Vision Machine Learning Engineer
We are seeking a motivated Senior Data Scientist to develop and optimize image-based Machine Learning algorithms for our novel biomedical optical products. This position will help define the architecture and methodology, as well as drive improvements to our classification algorithms that are the foundation upon which our products are built.
CytoVeris Inc. is changing the paradigm in cancer surgery through the introduction of optical-based “guided surgical tools”. CytoVeris is working at the convergence of optical science, cancer biology, and machine learning and translating that convergence to clinical application. Our technology helps surgeons to discern between cancer tissue and healthy tissue in real-time during surgery and as a result, will increase the probability of successful surgical outcomes. We use multi-spectral light analysis, coupled with machine learning, to provide an optical “fingerprint” of tissue.
If you’re inspired by the possibilities of technology to improve patients’ lives and you thrive on working in a dynamic environment where each person can make a significant difference, consider joining our team. We offer competitive salaries and the benefits of a startup, including stock options and flexible work location.
Position: Lead Computer Vision Machine Learning Engineer
We are seeking a motivated Senior Data Scientist to develop and optimize image-based Machine Learning algorithms for our novel biomedical optical products. This position will help define the architecture and methodology, as well as drive improvements to our classification algorithms that are the foundation upon which our products are built. This position reports to the Chief Software Architect and manages a team of ML engineers and guides the direction and implementation of the Company’s algorithm development efforts. The right person will offer a balance of strategic direction in ML and the ability and willingness to deep dive into the code of machine learning algorithms.
Responsibilities:
- You will play a key role in the software design, development, testing, and support of a new class of guided surgical devices.
- Collaborate with a diverse team of engineers, scientists, clinicians, and business development professionals and work in a dynamic and fast-paced environment.
- Improve our existing algorithms and develop new deep learning/ML approaches for image processing and classification.
- Lead and mentor other members of the software and engineering teams on ML initiatives.
- Work directly with and help direct our outside ML advisors.
- Stay abreast of the latest machine learning techniques by reviewing the literature, attending conferences, etc.
- Work within our ISO13485 medical device development processes.
Requirements:
- 3+ years of experience as a practicing Computer Vision Engineer or Data Scientist, with 2+ years of experience as a technical lead, including mentoring ML scientists.
- MS or Ph.D. in Artificial Intelligence, Machine Learning, Statistics, or a related field or equivalent on-the-job experience.
- An ideal candidate will also have published work in top-tier ML/medical imaging conferences and journals.
- Fluency in Python.
- Extensive, practical knowledge of Machine Learning techniques for images, deep learning network architectures (CNNs, GANs, etc.), regularization, loss functions, optimization strategies, etc.
- Expertise in one or more scientific analysis and prototyping environments such as the SciPy/NumPy stack or with a deep learning framework such as TensorFlow/Keras or PyTorch.
- Previous experience in a new product development environment, preferably healthcare-related.
- Ability to quickly turn general user requirements into high-quality software and perform fast iterations. Familiarity with Agile software development methods is a plus.
- Experience working as part of a multi-disciplinary team, in a fast-paced prototyping and product development environment.
- Experience in working in an ISO 13485 environment is a plus.
- Experience with spectroscopy, lasers, and medical device equipment is a plus.
- The ability and desire to work collaboratively and a passion for learning, teaching, and new technologies.
Job Type: Full-time
Benefits:
- 401(k)
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Paid time off
- Vision insurance
Schedule:
- Monday to Friday
Education:
- Master’s (Preferred)
Experience:
- Software development: 5 years (Required)
- Computer vision: 3 years (Preferred)
- Machine learning: 3 years (Required)
Work Location: 400 Farmington Ave, Farmington, CT 06032
Machine Learning Software Engineer
We are seeking a motivated ML Engineer to help develop, and optimize our image-based Machine Learning algorithms for our novel biomedical optical products. This position is a key member of the software team and will contribute to the development and improvement of classification algorithms that are the foundation upon which our products are built. The successful candidate will research, help design and write the code intelligence/machine learning algorithms.
CytoVeris Inc. is changing the paradigm in cancer surgery through the introduction of optical based “guided surgical tools”. CytoVeris is working at the convergence of optical science, cancer biology, and machine learning and translating that convergence to clinical application. Our technology helps surgeons to discern between cancer tissue and healthy tissue in real-time during surgery and as a result will increase the probability of successful surgical outcomes. We use multi-spectral light analysis, coupled with Artificial Intelligence, to provide an optical “fingerprint” of tissue.
If you’re inspired by the possibilities of technology to improve patients’ lives and you thrive on working in a dynamic environment where each person can make a significant difference, consider joining our team.
Position: Machine Learning Software Engineer
We are seeking a motivated ML Engineer to help develop, and optimize our image-based Machine Learning algorithms for our novel biomedical optical products. This position is a key member of the software team, and will contribute to the development and improvement of classification algorithms that are the foundation upon which our products are built. The successful candidate will research, help design and write the code intelligence/machine learning algorithms.
Responsibilities:
- As part of a small team, you will play a key role in the software design, development, testing, and support of a new class of guided surgical devices.
- Collaborate with a diverse team of engineers, scientists, clinicians and business development professionals and work in a dynamic and fast-paced environment.
- Research and develop algorithms for image processing and classification, including deep learning and AI platforms.
- Data mining and warehousing of spectral data to optimize classification accuracy
- Test and document software consistent with ISO13485 medical device development processes.
Requirements:
- B.S. in Data Analytics, Computer Science, Engineering, Mathematics or related field
- Fluency in Python, R, or C++, with an aptitude for picking up new languages quickly.
- Extensive, practical knowledge of Deep Learning techniques applied to image processing, various network architectures (CNNs, GANs, etc.), regularization, loss-functions, optimization strategies, etc.
- Experience with one or more scientific analysis and prototyping environments such as the SciPy/NumPy stack or with an ML framework such as TensorFlow or TORCH
- 3 plus years of demonstrated experience in software programming
- Previous experience in a new product development environment
- Database and data mining experience a plus (SQL Server, MySQL).
- Ability to quickly turn general user requirements into high quality software and perform fast iterations. Familiarity with Agile software development methods a plus.
- Experience working as part of a multi-disciplinary team, in a fast-paced prototyping and product-development environment.
- Experience in working in an ISO 13485 environment is a plus
- Experience with spectroscopy, lasers and medical device equipment is a plus
- The ability and desire to work independently and a passion for new technologies and learning new skills is required.
Job Type: Full-time
Benefits:
- 401(k)
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Paid time off
- Vision insurance
Schedule:
- Monday to Friday
Education:
- Bachelor’s (Required)
Experience:
- Software development: 2 years (Required)
- Machine learning: 2 years (Required)
Work Location: 400 Farmington Ave, Farmington, CT 06032
Clinical Research Associate
We are seeking a motivated, organized Clinical Research Associate who will play an integral role on the Clinical Research Team. This person will directly support the execution of medical device clinical trials, including but not limited to clinical development, clinical engineering, and clinical operation activities. This role will be focused on the needs of the organization throughout pre-clinical and clinical research cycles. The successful candidate will be willing to grow with the company’s clinical pipeline, including operating devices in the pathology labs and in a growing capacity as planned clinical trials progress into the operating room.
Position: Clinical Research Associate
We are seeking a motivated, organized Clinical Research Associate who will play an integral role on the Clinical Research Team. This person will directly support the execution of medical device clinical trials, including but not limited to clinical development, clinical engineering, and clinical operation activities. This role will be focused on the needs of the organization throughout pre-clinical and clinical research cycles. The successful candidate will be willing to grow with the company’s clinical pipeline, including operating devices in the pathology labs and in a growing capacity as planned clinical trials progress into the operating room.
In this role, the incumbent is responsible for executing and implementing the approved clinical standard operating procedures for clinical trials at multiple clinical sites and supporting those clinical activities in an externally-facing position. This role is expected to: (1) execute, track, document, and confirm that clinical study activities are conducted in accordance with approved protocols (2) serve as the liaison in the hospital and clinical setting, operating specific medical devices and supporting their use across clinical settings, (3) support the research team in the overall execution of IRB-approved clinical trials using Good Clinical Practice (GCP), (4) and provide education and clinical feedback to support the overall integration, use, and deployment of the Company’s medical devices.
Responsibilities:
- Support the coordination and execution of assigned protocols and SOPs from pre-clinical specimen imaging to clinical trial recruitment through study closure
- Assist in the development and maintenance of clinical study documents (e.g. IRB documents, protocols, Clinical Research Forms, Clinical Trial Master File, etc.).
- Review study protocols and provide input on clinical feasibility in clinical operations; interprets protocol details and supports overall study activities including the creation of study documents, adverse event tracking, and patient consent
- Contributes to designing activities, policies, and procedures to improve day to day efficiency of the pre-clinical and clinical operations activities and ensures that clinical partners perform activities within an established research protocol
- Collects data and provides device support in the pathology lab and operating room of various clinical sites as needed to support clinical development and testing
- Provides updates on protocol issues, obtains signatures, interprets clinical significance on lab reports, monitors adverse events and other documents as required, and communicates with clinical staff as needed to support clinical activities
- Perform study initiation and close-out activities including but not limited to protocol review with site personnel, regulatory support, study procedures, monitoring activities, site study file reconciliation, data query resolution, and data integrity activities
- Maintains relationships and helps coordinate with clinical collaborators, investigators, and institutional research teams
- Applies functional understanding of the FDA’s Code of Federal Regulation (CFR), Good Clinical Practices (GCP), ICH guidelines, and completion of CITI Ethics training to all aspects of the position
Requirements:
- 4-year college degree preferably in Health Sciences, Biology, or a related field
- Medical device experience preferred
- 1 – 5 years clinical education, clinical trials experience, or clinical experience required
- Protocol execution and site monitoring experience preferred
- Proven track record of successful interactions with medical professionals and scientists
- Ability to communicate clearly with internal, external, and cross-functional partners – in both written and verbal communications
- Customer-service oriented, personable, flexible, and positive attitude
- Proven ability to schedule and coordinate research activities as well as work with a team to develop action items and other means to keep projects moving along according to timeline
- Must be able to function in a fast-paced, deadline-driven environment including flexibility to frequently travel to clinical sites
- Professional certification (e.g. ACRP, SoCRA, RAPS) is a plus
Job Type: Full-time
Benefits:
- 401(k)
- Dental insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Paid time off
- Vision insurance
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Education:
Bachelor’s (Preferred)
Experience:
Clinical research: 1 year (Preferred)
Work Location: CytoVeris Inc. in Farmington, CT 06032
Apply Today
We are on a Mission
At CytoVeris, we are a passionate group driven by collaborative teamwork. We are innovative, agile, and problem solvers. If you’re motivated and inspired by the possibilities of technology to improve patients’ lives and you thrive on working in a dynamic environment where each person can make a significant difference, consider joining our team.
If you have the passion to help realize CytoVeris’ vision and you bring highly relevant skills and expertise that will help us achieve our goals, please reach out to us to discuss; we are always interested in talking with individuals who share our drive for innovation and achieving our vision of significantly improving patient outcomes in cancer surgery.