ZipRecruiter

Log In

1

Neuroscience Sales Engineer Jobs (NOW HIRING)

10x Genomics

Sr. Program Manager

Pleasanton, CA · On-site

$151K - $204K/yr

You will work on Program teams with biologists, chemists, engineers, computational biologists, and ... neuroscience, and developmental biology. As a 10X Program manager, you will be on high-energy ...

Neara

Sr. Program Manager

Pleasanton, CA · On-site

$151K - $204K/yr

You will work on Program teams with biologists, chemists, engineers, computational biologists, and ... neuroscience, and developmental biology. As a 10X Program manager, you will be on high-energy ...

Neara

$151K - $204K/yr

You will work on Program teams with biologists, chemists, engineers, computational biologists, and ... neuroscience, and developmental biology. As a 10X Program manager, you will be on high-energy ...

previous page

Showing results 41-60

All JobsNeuroscience Sales Engineer Jobs

Neuroscience Sales Engineer information

See salary details

$43.5K

$96.2K

$149K

How much do neuroscience sales engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for neuroscience sales engineer in the United States is $96,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $112,500.00 per year, depending on experience, location, and employer.

What is a neuroscience sales engineer?

Neuroscience Sales Engineers are professionals who combine expertise in neuroscience technologies with sales skills to promote and support products used in research or clinical settings. They work with companies that develop equipment such as EEGs, brain imaging tools, or neurostimulation devices, helping customers select the right solutions for their needs. Their responsibilities include demonstrating products, providing technical support, and building customer relationships. Neuroscience Sales Engineers often interact with researchers, clinicians, and laboratory managers and serve as the technical bridge between the company and its clients.

How does a neuroscience sales engineer typically collaborate with researchers and clinicians during the sales process?

Neuroscience Sales Engineers work closely with researchers and clinicians to understand their scientific needs and demonstrate how specialized equipment or solutions can support their work. This often involves on-site product demonstrations, addressing technical questions, and customizing solutions to fit specific research protocols. Building strong relationships and translating complex technical information into practical benefits are key aspects of the role. Collaboration with internal technical teams is also common to ensure client requirements are met and any technical challenges are resolved efficiently.

What are the key skills and qualifications needed to thrive as a neuroscience sales engineer, and why are they important?

To excel as a Neuroscience Sales Engineer, you need a background in neuroscience or biomedical engineering, strong sales acumen, and a relevant bachelor's degree or higher. Familiarity with neuroimaging technologies, CRM software, and often certifications in medical device sales are commonly expected. Exceptional communication, relationship-building, and problem-solving skills help you effectively engage clients and translate complex technical concepts. These skills are vital for effectively bridging the gap between scientific products and customer needs, ensuring successful adoption and satisfaction.

What are popular job titles related to Neuroscience Sales Engineer jobs?

For Neuroscience Sales Engineer jobs, the most frequently searched job titles are:

Infographic showing various Neuroscience Sales Engineer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $96,194 per year, or $46.2 per hour.

Sr. Manager/Associate Director- Tech Consulting (Pharma/Lifesciences)

Jersey City, NJ • On-site

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted yesterday

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced and AI-fluent seasoned lifesciences professional to take end-to-end ownership of designing and building data architecture and data products for our client. In this role, you will lead the development of an AI-ready data analytics ecosystem, drive business solutions at the intersection of data and complex processes, and play a critical role in expanding our footprint by cultivating strong client relationships and identifying new adjacencies.

RESPONSIBILITIES:

      • Architectural Leadership: Lead the end-to-end design and implementation of data architecture and innovative data products tailored to therapeutic areas.
      • AI & Engineering Innovation: Leverage AI fluency and advanced engineering tools to build "Art of the Possible" MVPs that solve critical business problems.
      • Solution Delivery: Utilize "Vibe Coding" and Vibe Engineering tools to streamline development and analytics.
      • Business Partnership: Act as a strategic partner to stakeholders within Life Sciences Commercial Sales & Marketing.
      • Relationship Management: Manage and expand client relationships, identifying business opportunities to grow the account.
      • Team Leadership: Oversee delivery for a significantly large team spanning both onsite and offshore resources.

Requirements

  • 8-12 years of relevant experience.
  • Strong Life Sciences domain background, specifically in Commercial Sales & Marketing.
  • Deep expertise in Data Products and Data Analytics, including fluency with Pharma Data Sources. including: Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy data and Payer Formulary (MMIT) data.
  • Proven experience across one or more of the following: Oncology, Vaccines, Infectious Diseases, Cardiometabolic and Respiratory Diseases, Immunology, Neuroscience, and Ophthalmology.
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Apply