Nova Biomedical: One Global Brand. One Vision. Together under one name.

Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets.

Job Summary:

We are looking for a Senior computer vision and machine learning software engineer to support Research & Systems Engineering. Facilitating the research, design and deployment of new machine learning/artificial intelligence models, to embed within the current and future products portfolio. Owning the technical responsibility for all Artificial Intelligence (AI) features in the image processing and model training Portfolio.

Responsibilities:

• Design and lead innovative AI projects from beginning to end and provide technical guidance to other team members.
• Be able to assist in the breakdown of new AI features into actionable work items, and work with the team to
• Estimate the time and complexity involved them.
• Produce coherent and concise technical documentation of AI-based projects, providing summaries and evidence of
• work completed.
• Manage AI model codebases from research to production level.
• Communicate with other teams (Systems, Software Development team) to perform team tasks more effectively.
• Contribute to the creation and filing of patents to protect intellectual property generated through research
• efforts, working closely with legal and intellectual property teams as necessary.
• Implement state-of-the-art AI and ML models and evaluate performance with regards to key business objectives,
• Introducing research prototypes and features into the company’s portfolio of market leading instruments

Experience Requirements:

• Strong Python/C++ coding ability.
• Strong experience in ONNX model and Microsoft ML interface
• Strong image processing knowledge
• Ability to readily absorb complex bioinformatic concepts.
• Excellent problem-solving, analytical, and communication skills.
• Strong knowledge of the biotech industry with a focus on cell development practices.
• Deep knowledge of convolutional models and latest techniques.
• Proficiency in major deep learning frameworks (PyTorch, Yolo, CellPose)
• MSc or higher in CompSci, Mathematics, Physics, AI, Computational Biology or any other relevant quantitative
• discipline, OR equivalent master’s level work experience delivering AI/ML solutions
• 2+ years of experience applying ML/AI to microscope images or biological problems.
• 3-4 years of experience with any of the major deep learning frameworks (PyTorch, Yolo, CellPose)
• Demonstrable industry experience of delivering computer vision-based AI projects (preferably in biotech

Physical Requirements and Working Conditions:

• Ability to stand or sit for extended periods.
• Manual dexterity required for handling laboratory equipment and instrumentation.
• Ability to lift and carry up to 25 pounds.
• Ability to perform repetitive tasks.
• Ability to work in a laboratory environment with exposure to chemicals or biological materials.
• Ability to use required personal protective equipment (PPE).
• Occasional bending, reaching, or movement within lab environment.

Why Work for Nova Biomedical

• Flexible Medical, Dental, & Vision Coverage
• Competitive 401k company match
• Bonus Program, Generous PTO and paid holidays
• Generous Tuition reimbursement
• Hybrid and flexible work arrangements
• Professional development, engagement and events
• Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices
• Company subsidized cafeteria in our Waltham, MA office

Work Location: Onsite work schedule on-site in Waltham, MA

Targeted Salary Range: $145000 - $170000/year

Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education.

About the company

At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care.

Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences.

With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity.

Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health.

Explore what’s next with us at novabiomedical.com or aicompanies.com

EEO Statement:

Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

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