Evinova

Evinova provides digital health software to streamline clinical development for sites, sponsors, and CROs. Its Unified Trial Solution enables remote patient monitoring, connected devices, eConsent, eCOA, and telemedicine through a single integrated app. The Drug Development Suite uses data and AI to accelerate study design, portfolio management, and operational excellence, with strong security and global compliance. The platform integrates with EDC, safety, and CTMS systems and supports multiple therapeutic areas across 40+ countries, reducing patient burden and trial timelines.

AIClinical DevelopmentClinical TrialsDigital HealtheCOAPatient ExperienceRemote Patient MonitoringSaaSevinova.com

Evinova

AIClinical DevelopmentClinical TrialsDigital HealtheCOAPatient ExperienceRemote Patient MonitoringSaaSevinova.com

HQBaar, CH

Team Size389

Open Jobs44

Total Funding-

Latest FundraiseUnknown

Join the Team

Principal Machine Learning Engineer - Evinova

On-SiteBarcelona, Catalonia, ES

On-Site • Barcelona, Catalonia, ES

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

Full-timeNovi Sad, RS

Full-time • Novi Sad, RS

DevOps Engineer

Full-timeHamburg, DE

Full-time • Hamburg, DE

DevOps Engineer

ContractTel Aviv

Contract • Tel Aviv

Mobile Developer

ContractTel Aviv

Contract • Tel Aviv

Backend Developer

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

Data Scientist

InternshipManchester, GB

Internship • Manchester, GB

Introduction to role Are you ready to revolutionize the future of healthcare? At Evinova, part of the AstraZeneca Group, we're on a mission to transform clinical trials with cutting-edge AI and Machine Learning. With the goal of increasing success rates by 20%, accelerating timelines by 36 months, and reducing costs by 50%, we are redefining the landscape of drug development. If you're a skilled coder with a passion for innovation and a desire to lead, this is your chance to make a significant impact. Join us as we design advanced machine learning models that tackle complex healthcare challenges and drive digital transformation in the industry.

We are seeking a highly skilled and innovative Principal Machine Learning Engineer to design and implement advanced machine learning models that solve complex healthcare problems. In this role, you will translate analytical prototypes into robust, scalable production systems while leading the end-to-end ML lifecycle from data preparation to deployment and monitoring. You'll develop and maintain critical data pipelines, deliver production-ready code following best practices, and collaborate with cross-functional teams to deliver data-driven solutions that align AI initiatives with business objectives.

This position offers the opportunity to mentor team members, drive digital transformation in healthcare, and work with cutting-edge technologies including traditional deep learning models and modern MLOps practices. You'll be at the forefront of applying machine learning to revolutionize clinical development and drug discovery.

Accountabilities

Design and implement advanced machine learning models to solve complex healthcare problems.
Translate analytical prototypes into robust, scalable production systems.
Lead end-to-end ML lifecycle from data preparation to deployment and monitoring.
Develop and maintain data pipelines supporting model training and deployment.
Deliver production-ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation.
Collaborate with cross-functional teams to deliver data-driven solutions.

Essential Skills/Experience

Desirable Skills/Experience

AWS Machine Learning Engineer or AWS Solution Architect certification.
TypeScript or a similar strongly-typed programming language experience.
Data visualization expertise.
Experience with real-time data processing and streaming.
Performance testing experience with data-intensive applications.
Front-end development familiarity.
Knowledge of healthcare AI/ML regulatory requirements.
Knowledge of drug development and previous experience working in the pharmaceutical industry is nice to have but not required.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we embrace change and invest in technology to redefine healthcare. Our dynamic environment supports innovation through collaboration and creativity. With access to cutting-edge tools and a global network of experts, we drive meaningful change in predicting, preventing, and treating patient conditions. Our commitment to lifelong learning empowers us to make an impact worldwide.

Ready to be part of this transformative journey? Apply now and help shape the future of healthcare!

Date Posted 13-nov-2025

Closing Date 26-nov-2025

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.