As of September 2026, the average salary for Lead at Quantachrome Instruments in the United States is $157,184 per year, which is equivalent to an hourly rate of approximately $76. Most salaries for this position fall within the range of $145,093 to $171,853 annually.
View detailed salary information by job role at Quantachrome Instruments. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$383,378 / year
Salary Range: $294,288 - $480,632
Financial
$171,606 / year
Salary Range: $156,703 - $185,069
Engineering Management
$166,683 / year
Salary Range: $159,680 - $172,491
Operations
$130,989 / year
Salary Range: $123,754 - $138,573
Management
$130,532 / year
Salary Range: $118,770 - $141,565
Engineering Management
$116,032 / year
Salary Range: $109,640 - $120,426
Digital Design
$107,476 / year
Salary Range: $96,846 - $118,039
Management
$107,471 / year
Salary Range: $99,533 - $114,605
Software Development
$103,966 / year
Salary Range: $93,335 - $114,377
Human Resources
$100,872 / year
Salary Range: $93,300 - $108,696
Information Technology
$98,457 / year
Salary Range: $91,180 - $105,832
Mechanical Engineering
To succeed and maximize your earning potential as a Lead at Quantachrome Instruments, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Machine Learning | Using mathematical models, data, and algorithms to help a computer learn without direct instruction. | |
| Algorithms | Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Data Science |
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
|
|
| Deep Learning |
Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
|
Understanding the career path for an Lead can help you plan long-term professional growth. Below is a typical career progression for an Lead, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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