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ABOUT US

We believe the future should be seen, not just imagined

We aim to improve and accelerate preclinical imaging studies by providing automated image analysis and data prediction solutions.

Vision
We’re creating a truly connected and collaborative data analysis ecosystem where the global scientific community is empowered and aligned to accelerate discovery and unlock the answers that matter most to life on our planet.
Mission
We empower scientists to accelerate pre-clinical research, lower costs, and improve outcomes through reproducible data, advanced AI, and a global disease intelligence platform that enhances collaboration and predictive insight.
1.0 IMAGING CAPABILITIES

Order from chaos

Unlock insights hidden deep within your image data. While traditional software restricts workflow by requiring an operator in the loop, InVivoAX elevates efficiency by placing the operator on the loop—transforming data management from a manual bottleneck into an automated, high-level oversight process.

2.0 AUTOMATED ANALYSIS

Unbiased, Predictive Insights

Eliminate human error and subjective variance. Our advanced automated analysis delivers objective data prediction, providing reproducible results and clear metrics you can trust for critical decision-making.

3.0 CLOUD-BASED ARCHITECTURE

Collaborative & Accessible

Break down data silos. Our secure, cloud-native platform ensures your team has instant access to powerful analytics anywhere in the world, fostering seamless collaboration and accelerating global research.

Our team

Founded by Alexander Klose and Neal Paragas in 2014, InVivo Analytics bridges biology and physics to provide automated, cloud-based image analysis that eliminates bias and accelerates preclinical discovery.

Neal Paragas, PhD

Co-Founder & CEO

Neal Paragas, PhD

Co-Founder & CEO

Neal holds a PhD in Biology from Columbia University and specializes in modeling human diseases using advanced molecular imaging and genetics. He leads the company’s strategic vision and the development of hardware and business operations for preclinical R&D.

Alexander Klose, PhD

Co-Founder & CTO

Alexander Klose, PhD

Co-Founder & CTO

Alexander obtained his PhD in physics from Freie University, specializing in radiation transport and computational modeling. With over 20 years of experience, he leads the development of the company’s image reconstruction algorithms and cloud-based automated analysis platform.

Ken Li, BS

Director of Mechanical Engineering

Ken Li, BS

Director of Mechanical Engineering

A pioneer in molecular imaging and co-founder of Xenogen, Chris brings decades of experience in commercializing optical in vivo imaging systems. He currently serves as the Chair of Biomedical Engineering and Director of the IQ Institute at Michigan State University.

Jay Whalen, B.S.

Director of Systems Engineering

Jay Whalen, B.S.

Director of Systems Engineering

Jay has over 15 years of experience developing and commercializing optical-based hardware tools for preclinical research and automated microscopy. He oversees the full lifecycle of instrument development, from initial proof-of-concept to commercial release.

Our advisors

Christopher Contag, PhD

Scientific Advisor

Christopher Contag, PhD

Scientific Advisor

A pioneer in molecular imaging and co-founder of Xenogen, Chris brings decades of experience in commercializing optical in vivo imaging systems. He currently serves as the Chair of Biomedical Engineering and Director of the IQ Institute at Michigan State University.

Steve Schott, BS

Business Advisor

Steve Schott, BS

Business Advisor

Steve is an experienced entrepreneur who has scaled multiple technology companies through IPO and acquisition, including leading Comark and Avidyne. He specializes in driving value through operational excellence and innovative automation solutions for the medical and military sectors.

Kevin Francis, PhD

Scientific Advisor

Kevin Francis, PhD

Scientific Advisor

Kevin is a recognized thought leader in imaging technology and a Fellow at PerkinElmer’s Innovation Group. With over 20 years of experience in the preclinical market, he provides deep expertise in the application and market strategy of optical imaging systems.

David Pazarella, MBA

Business Advisor

David Pazarella, MBA

Business Advisor

David has over 15 years of experience leading global commercial infrastructure and strategic partnerships for top imaging companies like PerkinElmer and Xenogen. He currently serves as VP of Commercialization at Standard Biotools, focusing on market expansion and sales pipeline development.

Working with us

InvivoAX is an all-remote company founded to address the unmet need for an automated and unbiased approach to preclinical R&D non-destructive image analysis. Employees distributed across the U.S. interact daily with their teams and connect during annual in-person retreats. We welcome unsolicited job inquiries. Please do not hesitate to contact us.

Careers

Full-Stack Software Developer/Engineer

FULL/PART-TIME | REMOTE
Preclinical image data (optical tomography, positron emission tomography, x-ray CT) acquired in our patented hardware platform, are uploaded to the InVivoAX database, where proprietary data analysis tools and machine learning algorithms retrieve life-sciences relevant information.

About the Role:

We are seeking an experienced full-stack software developer to drive the ongoing development and management of InvivoAX, our preclinical R&D SaaS for in vivo molecular imaging data analysis. InvivoAX processes in vivo image data acquired from our patented hardware platform—capturing optical imaging, positron emission tomography, and x-ray CT scans—using advanced data analysis tools and machine learning algorithms to extract critical life sciences information. From automated analysis and predictive analytics to synthetic disease modeling, InvivoAX accelerates drug discovery and improves human health and wellness.

Key Responsibilities:

  • Develop and maintain cloud-based data analysis tools for preclinical molecular imaging.
  • Collaborate with a multidisciplinary team of engineers, scientists, and medical professionals.
  • Contribute to the software engineering and coding while also engaging in business-related tasks.
  • Work remotely, full-time or part-time, within the U.S. with a flexible schedule.
  • Pursue professional growth opportunities within our lean, matrix-structured organization.

Qualifications:

  • Required Skills:
    • Proficiency in Python (including NumPy and SciPy)
    • Experience with HTML, JavaScript, CSS, React
    • Expertise in AI applications using Keras, TensorFlow, or PyTorch
    • Knowledge of AWS infrastructure
    • Previous management experience
  • Desirable Skills:
    • Some familiarity with Matlab, Octave, or R
    • Experience with WebGL for 3D image data display
    • Understanding of AI/ML applications like U-Net or transformer nets
    • Skills in image segmentation and feature detection
  • Education and Experience:
    • BS, MS, or PhD in computer science, physics, math, engineering, biology, or a related field.
    • Minimum of three years of professional experience.
    • Experience with MongoDB or similar databases.
    • Proficiency in browser-based data display and presentation.
    • Knowledge of Linux or Unix, C/C++.

Compensation:

  • Salary Range: $60,000 – $168,000 per year, based on experience and abilities, and scale of employment (part-time or full-time).
  • Equity: Commensurate with experience.

About You:

  • You thrive in a lean startup culture and are excited about taking on additional business responsibilities.
  • You are comfortable working remotely and value flexibility in your work schedule.
  • You are eager to work with a diverse team of experts across various fields to make a meaningful impact on human health and wellness.
  • You are a highly motivated self-starter

If you are passionate about leveraging technology to drive innovations in drug discovery and preclinical imaging, we would love to hear from you!

Frontend Software Engineer

FULL-TIME | REMOTE
Preclinical image data (optical tomography, positron emission tomography, x-ray CT) acquired in our patented hardware platform, are uploaded to the InvivoAX database, where proprietary data analysis tools and machine learning algorithms retrieve life-sciences relevant information.

Preclinical image data (optical tomography, positron emission tomography, x-ray CT) acquired in our patented hardware platform, are uploaded to the InvivoAX database, where proprietary data analysis tools and machine learning algorithms retrieve life-sciences relevant information.

From automated analysis to predictive analytics to synthetic disease modeling, InvivoAX accelerates drug discovery and ultimately betters human health and wellness. The prospective candidate enjoys working in the lean startup culture and is interested to take on other business responsibilities along with software engineering and coding. We have both senior software developer and director of software engineering positions available. These interdisciplinary positions work with engineers, imaging scientists, biologists, biochemists, and medical doctors; remote work within the U.S. with a flexible work schedule; professional growth opportunities in a lean company with a matrix organization; a competitive salary and equity commensurate on performance, ability, and experience.

Salary range: $60-168k

Equity (Commensurate on experience)

Expected skills

  • The candidate should have strong skills in some of the following areas: Python/Django (including NumPy and SciPy) HTML web design, Javascript, CSS, React PostgreSQL or similar databases Browser-based data display and presentation (e.g., D3 library) AI applications using either Keras, TensorFlow, or PyTorch cloud computing (Heroku and AWS).
  • Some knowledge in the following areas are helpful: Linux or Unix C/C++, Qt, Matlab, Octave, R WebGL for 3D image data display Artificial Intelligence/Machine Learning applications, e.g., CNN algorithms, data clustering image segmentation and feature detection
  • Education and work experience: Either a BS, MS, or PhD in computer science, physics, math, engineering, biology, or related field is required. Minimum of three years professional experience.

 

To apply

Contact us on jobs@invivoax.com

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The future should be seen, not just imagined.