Title: Field Applications Scientist, Proteomics (Remote - Eastern Canada) Location: Toronto Ontario Canada Full time Remote   As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.   Discover Impactful Work: As a Field Applications Scientist, you will provide technical support and training for our Olink proteomics product portfolio.  You'll serve as a scientific advisor, helping customers optimize their workflows and maximize the value of their investments while contributing to our mission of making the world healthier, cleaner, and safer.   Location: This is a remote role based in the Toronto area.  Please note that relocation assistance is not provided for this position.    A Day in the Life: - Provide technical support and training for the Olink proteomics product portfolio - Collaborate with sales teams and customers to deliver product demonstrations and applications support and training that enables research and innovation - Deliver both pre- and post-sales technical expertise across multiple technology platforms - Develop new applications and troubleshoot complex technical issues - Build and maintain strong relationships with customers and internal stakeholders - Partner cross-functionally with sales, marketing, R&D, and product management teams to ensure customer success and drive business growth through technical excellence.   Keys to Success: Education - Bachelor’s degree in Chemistry, Biochemistry, Molecular Biology, or related field with 5+ years of relevant experience; Advanced degree with 3+ years of relevant experience   Experience, Knowledge, Skills, Abilities - Demonstrated expertise in method development and technical problem-solving - Clear written and verbal communication skills with ability to explain complex concepts to diverse audiences - Strong presentation and training capabilities for both technical and non-technical audiences - Ability to work independently and collaboratively in a results-oriented environment - Experience in project management and ability to handle multiple priorities - Customer service orientation and interpersonal skills - Ability to build and maintain effective relationships with internal teams and external customers - Willingness to travel up to 25-50% Other: - Must be eligible to work in Canada without restrictions - Must be able to pass a comprehensive background check Compensation The estimated annualized pay range for this position in Ontario is $84,000.00–$130,000.00.

• Design and develop **research-level or graduate-level mathematical problems** involving scientific computing and programming (Python) • Define clear **problem structures**, including categories, tags, and difficulty levels • Solve complex problems using **rigorous mathematical and computational methods**, ensuring accuracy and logical consistency • Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. • Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly

• Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python. • Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels. • Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path. • Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. • Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.

Role Description We are looking for a highly analytical and research-driven individual with a strong background in Computational Materials to contribute to advanced AI evaluation initiatives. In this role, you will design and solve research-grade quantitative problems, supporting the development and evaluation of next-generation AI systems. You’ll work at the intersection of scientific computing, mathematical modeling, and AI reasoning, contributing to high-impact projects with leading AI organizations. Responsibilities - Quantitative Problem Design and Solutioning: - Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/programming, using Python. - Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels. - Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path. - Quality Assurance & Collaboration: - Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. - Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly. Commitments Required - 8 hours per day with an overlap of 4 hours with PST. Employment Type - Contractor assignment (no medical/paid leave). Duration of Contract - 4 weeks. Location - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam. Selection Process - Home Assignment. Qualifications - PhD or PhD Candidate in Computational Materials, Semiconductor materials, Molecular modeling, or similar. - At least one peer-reviewed publication in a relevant domain. - Proficiency in Python for scientific computing (e.g., NumPy, SciPy, or similar). - Strong analytical thinking and problem-solving skills. - Ability to clearly document complex mathematical reasoning and solutions.