Salary for Mid-level / Intermediate Research Assistant in United States during 2024

Salary details

The average mid-level / intermediate Research Assistant salary lies between USD 42,000 and USD 82,500 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Research Assistant roles

The three most common job tag items assiciated with mid-level / intermediate Research Assistant job listings are Research, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Research | 43 jobs Python | 33 jobs Machine Learning | 21 jobs Computer Science | 21 jobs Engineering | 19 jobs R | 16 jobs PhD | 16 jobs Statistics | 16 jobs Data analysis | 16 jobs Athena | 15 jobs Mathematics | 13 jobs Physics | 10 jobs Industrial | 8 jobs Security | 8 jobs Biology | 8 jobs PyTorch | 7 jobs Testing | 7 jobs Data management | 7 jobs Matlab | 6 jobs Deep Learning | 5 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Research Assistant roles

The three most common job benefits and perks assiciated with mid-level / intermediate Research Assistant job listings are Career development, Health care and Conferences. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 25 jobs Health care | 21 jobs Conferences | 14 jobs Flex hours | 12 jobs Competitive pay | 8 jobs Team events | 8 jobs Equity / stock options | 6 jobs Medical leave | 5 jobs Parental leave | 3 jobs Insurance | 3 jobs Flex vacation | 2 jobs Gear | 2 jobs Startup environment | 2 jobs Wellness | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Research Assistant in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses might be more substantial compared to other regions. Additional remuneration can include stock options, especially in startups or tech companies, and benefits such as health insurance, retirement plans, and professional development allowances. Larger companies might offer more comprehensive benefits packages, while smaller companies or startups might compensate with equity options.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging AI/ML technologies and tools.
• Advanced Education: Pursue further education, such as a master's or Ph.D., which can open doors to higher-level positions and salaries.
• Networking: Build a strong professional network within the industry to learn about new opportunities and gain insights into salary trends.
• Certifications: Obtain relevant certifications that can validate your expertise and make you more competitive in the job market.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary increases.
• Industry Transition: Consider transitioning to industries that offer higher compensation for AI/ML roles, such as finance or healthcare.

Educational Requirements

Most mid-level research assistant positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree is often preferred and can be a significant advantage. Advanced degrees demonstrate a deeper understanding of complex concepts and methodologies, which is highly valued in research roles.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can help validate your skills and knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, a mid-level research assistant role requires 2-5 years of relevant experience in AI/ML or data science. This experience should include hands-on work with data analysis, machine learning model development, and possibly some research or academic projects. Experience in specific industries or with particular technologies can also be advantageous.

Related salaries

Want to contribute?