Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion and extensive investment in R&D. Our Mission is to enable our customers to make the world healthier, cleaner and safer. The customers we serve fall within pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions, and government agencies. Our innovations drive scientific breakthroughs, from groundbreaking research to routine testing and real-world applications.

How will you make an impact?

You will play a pivotal role in designing and delivering reliable, robust AI applications, algorithms, and frameworks that elevate the quality and performance of our product offerings. You will collaborate with and learn from a dedicated team of algorithm and software developers, revolutionizing healthcare through low-cost and high efficiency diagnostic systems.

 

What will you do?

• Design, develop, and optimize signal processing, machine learning, and AI algorithms across various domains.
• Evaluate and validate algorithm performance using simulations, real-world datasets and automated testing frameworks.
• Analyze algorithm behavior under various conditions, identify limitations, and provide actionable feedback for improvement.
• Build scalable pipeline and frameworks to automate algorithm testing and streamline model development workflows.
• Collaborate with cross-functional teams, including software, firmware, hardware, and system team, to ensure algorithms meet product requirements and are well-integrated into production systems.
• Contribute to code quality, reproducibility, and documentation for algorithm reliability and transparency.
• Stay ahead of emerging technologies and industry standards for genetic science algorithm innovation.

How will you get here?

Education
BS in Computer Sciences or Computer Engineering, Mathematics, Bioinformatics, Statistics or a related field; a Master’s degree is highly preferred.

Experience and Skills Required

• 3-5 years’ experience in algorithm and AI development and evaluation within a product development setting or SDLC experience.
• Strong programming skills in C/C++, Java, or Python for algorithm development.
• Expertise in signal processing, Computer Vision, ML/AI models and statistical analysis.
• Hands-on experience of analyzing algorithm complexity and performance.
• Familiar with ML frameworks TensorFlow, PyTorch, scikit-learn, or similar.
• Proven problem-solving capability and innovation mindset.
• Able to design and implement automated pipelines to streamline development, testing, and evaluation of AI/ML models and traditional algorithms.

• Strong communication skills, and the ability to present work to both technical experts and non-experts.
• Ability to work both independently and collaboratively.
• Ability to handle multiple tasks and prioritize tasks effectively.

Preferred:

• Experience in biotechnology industry is a plus.
• Experience maintaining legacy algorithms and improving stability.
• Experience with Git, CI/CD, pytest/Junit.
• Experience integrating algorithms into instrument control or analysis software.
• Experience leveraging cloud infrastructure (AWS, Azure or GCP) and containerization frameworks for scalable solutions.