Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob 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 pioneering research to routine testing and real-world applications.
How will you make an impact?
You will be a cornerstone in developing and ensuring reliable, accurate and robust algorithms. You will develop innovative algorithms, create frameworks and tools that enables comprehensive validation and characterization of algorithms, ultimately driving excellence in 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 throughput diagnostic systems.
What will you do?
- Design, develop, and optimize algorithms for signal processing, machine learning, and AI applications across various domains.
- Evaluate and validate algorithm performance using rigorous testing methods, simulations, and real-world data.
- Analyze algorithm behavior under various conditions, identify limitations, and provide actionable feedback for improvement.
- Develop frameworks and infrastructure to automate algorithm testing and streamline development workflows.
- Integrate AI and deep learning techniques to enhance both algorithm development and predictive evaluation of performance.
- Collaborate with cross-functional teams, including software, hardware, and data science, to ensure algorithms meet product requirements and are well-integrated into production systems.
- Contribute to code quality, documentation, and reproducibility, ensuring algorithm reliability and transparency.
- Stay informed on emerging technologies and industry standards to continuously enhance development and evaluation methodologies.
How will you get here?
Education
BS in Computer Sciences, Mathematics, Statistics or a related field; a Master’s degree is highly preferred
Experience
- 5+ year experience in algorithm and AI development and evaluation within a product development setting or SDLC experience
- Shown experience in developing frameworks and pipelines to automate algorithm and AI development and evaluation
- Experience with pytest, Junit, CI/CD
- Demonstrated leadership experience, including mentoring and guiding junior engineers
- Experience in biotechnology industry is a plus
Knowledge, Skills, Abilities
- Strong programming skills in Python, Java, or Matlab
- Solid understanding of various algorithms and the ability to analyze algorithm complexity and performance
- Excellent knowledge in data analysis and visualization
- Good understanding of AI/ML models, framework, and mathematical concepts
- Strong communication skills, and the ability to present work to both technical specialists and non-experts
- Ability to work both independently and collaboratively
- Strong project management skills and ability to handle multiple projects and prioritize tasks efficiently
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