Senior Systems Integration Engineer

IDEXX • Westbrook, ME

6d • Onsite

About The Position

We are seeking a highly skilled and intellectually driven Senior Systems Integration Engineer with a strong foundation in mathematical modeling, simulation, and data analysis to join a group of engineers and scientists focused on characterizing diagnostic products as they are integrated into instrument systems. This role bridges rigorous quantitative methods with practical product development, supporting predictive modeling, experimental design, and data-driven decision making across the full IDEXX product lifecycle — from new product development through long-term product support. You will functionally break down, characterize, and model both assay and instrument components and processes to understand the relationship between key inputs and outputs to help develop products within an overall integrated system, ensuring end products meet requirements and perform their intended functions. This is an on-site role to be based out of our Westbrook, ME corporate Headquarters.

Requirements

• A degree in Physics, Physical Chemistry, Analytical Chemistry, Chemistry, Chemical Engineering, Applied Engineering, Applied Mathematics, or a related discipline.
• Candidates should possess a Bachelor’s with 5 years’ experience, Master's with 3 years’ experience, or PhD with 2 years’ experience.
• Proficiency in one or more of the following is required: Python, JMP, Mathematica, R, or SAS.
• Ability to characterize and model systems by breaking them down into their component parts, mapping out how each function will work within the overall system to ensure products will operate to requirements and as intended.
• Solid understanding of biology, chemistry, and engineering and how these concepts interact within a system.
• Experience in all phases of development and product support project life cycles.
• The courage to challenge assumptions, advocate for data-driven conclusions, and engage constructively across all levels of the organization.
• Demonstrated ability to manage ambiguity — comfortable operating in evolving problem spaces where requirements and priorities shift.
• Strong verbal, written, and interpersonal communication skills, with the ability to present complex findings to both technical and non-technical audiences.

Nice To Haves

• Hands-on experience with robotics, instrumentation design, or hardware/software integration — from concept through implementation — is preferred, particularly where such systems were developed or adapted to support analytical or diagnostic workflows.
• Experience with big data platforms such as Snowflake or Amazon S3 is desired.

Responsibilities

• Develop and apply mathematical models and simulations to support product design, performance prediction, and requirements development — bringing a strategic mindset to translate complex technical problems into scalable solutions.
• Build and maintain predictive models and forecasting frameworks to inform product strategy and lifecycle decisions, demonstrating decision quality and the ability to manage complexity in ambiguous, data-rich environments.
• Design and oversee/execute experiments, applying statistical and computational methods to extract actionable insights from large-scale datasets — driving results with rigor and resourcefulness.
• Translate raw data into meaningful information that shapes product and business decisions, exhibiting a strong customer focus and the ability to persuade diverse audiences through clear, evidence-based storytelling.
• Contribute to product requirements development by connecting quantitative analysis to customer and organizational needs, exercising organizational savvy and a global perspective.
• Conceptualize and evaluate technical feasibility of new product concepts and major hardware changes to existing products.
• Partner with cross-functional teams across engineering, science, and commercial functions, fostering a culture that collaborates, drives engagement, and values differences.
• Maintain clear, well-organized documentation of models, methodologies, and results, ensuring accountability and supporting long-term knowledge continuity.

Benefits

• Salary range starting at $105,000 based on experience
• Opportunity for annual cash bonus
• Health / Dental / Vision Benefits
• Day-One 5% matching 401k
• Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more

What This Job Offers

• Job Type: Full-time
• Career Level: Senior