At a Glance
- Tasks: Develop cutting-edge algorithms for next-gen biosensor systems in healthcare.
- Company: Join Analog Devices, a global leader in semiconductor technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with multidisciplinary teams and tackle complex challenges.
- Why this job: Make a real impact on patient care with innovative biosensor technology.
- Qualifications: Degree in engineering or related field; strong Python skills required.
The predicted salary is between 50000 - 70000 € per year.
About Analog Devices: Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world.
The Digital Healthcare business group is seeking an Algorithms Software Engineer to support the development of next‑generation biosensor systems for diagnostic and therapeutic applications. These systems integrate electrochemical and optical sensors, microfluidics, measurement electronics, and software to deliver highly accurate and reliable biomarker measurements.
Role Overview: The successful candidate will take an active, hands‑on role in the development of core algorithms for a key biosensor program. Working closely with the algorithm lead, sensor design engineers, and software teams, they will develop, prototype, and refine algorithms using real experimental sensor data. This role is well suited to an engineer who enjoys focused, in‑depth algorithm development, working on complex sensing problems where solutions are not always known upfront.
Key Responsibilities- Algorithm Development & Data Analytics: Take ownership of specific algorithm components, from concept through prototyping and performance evaluation. Develop Python‑based algorithms for post‑processing and analyzing raw sensor data collected from laboratory experiments. Apply signal processing techniques to extract robust features from noisy, real‑world sensor signals. Explore and apply machine learning techniques to improve measurement accuracy, robustness, and reliability. Combine classical signal processing and data‑driven approaches where appropriate.
- Sensor & System Collaboration: Work closely with sensor design engineers and technical leads to understand sensor operation, physics, and data interpretation. Provide data‑driven insights from algorithm analysis to guide sensor and system design optimization. Develop automated analysis pipelines to evaluate sensor performance across large experimental datasets.
- Prototyping & Deployment Support: Develop algorithm prototypes in Python suitable for real‑time or near‑real‑time execution. Support the software team with algorithm integration and porting to embedded or production environments. Contribute to algorithm verification, test datasets, and performance characterization.
- BEng, MSc, or PhD in Electrical Engineering, Computer Science, Software Engineering, Physics, Mathematics, or a related discipline.
- Experience developing algorithms for sensing, measurement, or data‑driven systems.
- Strong proficiency in Python for algorithm development and data analysis (e.g. NumPy, Pandas, SciPy, scikit‑learn).
- Solid understanding of signal processing techniques for transforming and optimizing raw sensor data.
- Working knowledge of machine learning techniques applied to time‑series or sensor data (e.g. regression, classification, anomaly detection).
- Strong software development skills, including version control (Git) and basic software test methodologies.
- Ability to work independently, take ownership of technical tasks, and maintain focus on algorithm development goals.
- Good communication and collaboration skills.
- Willingness to learn the physics underpinning sensor operation.
- Practical experience working with experimental or laboratory data.
- Experience applying data analytics or machine learning to medical or biosensor datasets.
- Exposure to algorithm development in regulated industries (e.g. healthcare, automotive, aerospace).
- Experience combining signal processing and machine learning in real‑world systems.
- Familiarity with embedded systems or supporting algorithm deployment to constrained platforms.
- Experience documenting algorithms and analysis results in a structured, traceable manner.
We are looking for an engineer who enjoys working on open‑ended problems where the solution is not known upfront, and is comfortable iterating based on experimental data. The ideal candidate demonstrates patience and persistence when dealing with ambiguity, imperfect measurements, and noisy sensor signals, while maintaining a disciplined and focused approach to algorithm development. They are able to take ownership of algorithm development tasks and work on them in a dedicated manner over extended periods, iterating until performance and robustness targets are achieved.
Why Join ADI Digital Healthcare? You will work on real biosensor products that directly impact patient care and clinical decision‑making. This role offers the opportunity to develop deep technical expertise in algorithm development while collaborating closely with multidisciplinary teams across sensors, electronics, and software.
Biosensor Algorithm Engineer employer: Analog Devices
At Analog Devices, we pride ourselves on being a leading employer in the semiconductor industry, offering our Biosensor Algorithm Engineers the chance to work on innovative projects that directly enhance patient care and clinical decision-making. Our collaborative work culture fosters continuous learning and growth, providing employees with opportunities to develop deep technical expertise while working alongside multidisciplinary teams. With a commitment to diversity and inclusion, we ensure that every team member has the support and resources needed to thrive in their career.
StudySmarter Expert Advice🤫
We think this is how you could land Biosensor Algorithm Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your algorithm development projects, especially those related to biosensors. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how you tackled challenges, especially in algorithm development and data analysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Analog Devices.
We think you need these skills to ace Biosensor Algorithm Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Biosensor Algorithm Engineer. Highlight your experience with algorithm development, Python proficiency, and any relevant projects that showcase your skills in signal processing and machine learning.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about biosensor systems and how your background makes you a great fit for our team. Be sure to mention specific experiences that align with the job description and show your enthusiasm for working at Analog Devices.
Showcase Your Projects:If you've worked on any relevant projects, whether academic or personal, make sure to include them in your application. We love seeing practical examples of your work, especially those involving real-world data and algorithm development.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're serious about joining our team at Analog Devices.
How to prepare for a job interview at Analog Devices
✨Know Your Algorithms
Make sure you brush up on your algorithm development skills, especially in Python. Be ready to discuss specific algorithms you've worked on, particularly those related to biosensors or data analytics. This will show that you can take ownership of algorithm components right from concept to performance evaluation.
✨Signal Processing Savvy
Familiarise yourself with signal processing techniques and be prepared to explain how you've applied them in past projects. Think about examples where you've extracted features from noisy data, as this is crucial for the role. Being able to articulate your thought process will impress the interviewers.
✨Collaboration is Key
Since this role involves working closely with sensor design engineers and software teams, highlight your collaboration skills. Share experiences where you’ve successfully worked in a team to solve complex problems. This will demonstrate your ability to communicate effectively and contribute to multidisciplinary projects.
✨Show Your Passion for Learning
Express your willingness to learn about the physics behind sensor operation. Talk about any relevant courses or self-study you've undertaken. Showing enthusiasm for continuous learning will resonate well with the interviewers, especially in a field that’s constantly evolving like digital healthcare.
