Work Schedule

Environmental Conditions

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, hardware, and

bioinformatics team, to ensure algorithms meet product requirements and are wellintegrated 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

• 2+ years’ experience in algorithm and AI development and evaluation within a product

development setting or SDLC experience.

• Strong programming skills in Python, Java, or Matlab for algorithm development.

• Familiar with signal processing, ML/AI models and statistical analysis (time-series or

waveform data).

• Familiar with ML frameworks TensorFlow, PyTorch, scikit-learn, or similar.

• Proven problem-solving capability and innovation mindset.

• 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:

• Able to design and implement automated pipelines to streamline development, testing,

and evaluation of AI/ML models and traditional algorithms.

• Handson experience of analyzing algorithm complexity and performance.

• Experience in biotechnology industry is a plus.

• 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