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

Salary details

The average mid-level / intermediate Research Associate salary lies between USD 54,000 and USD 94,000 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 Associate roles

The three most common job tag items assiciated with mid-level / intermediate Research Associate 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 | 226 jobs Python | 166 jobs Machine Learning | 143 jobs Engineering | 124 jobs PhD | 108 jobs R | 94 jobs Computer Science | 92 jobs Statistics | 88 jobs Security | 62 jobs Data analysis | 54 jobs Physics | 50 jobs Mathematics | 48 jobs Deep Learning | 47 jobs Banking | 47 jobs Biology | 38 jobs Matlab | 35 jobs Testing | 33 jobs Teaching | 31 jobs Athena | 30 jobs PyTorch | 27 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Research Associate job listings are Career development, Health care and Competitive pay. 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 | 152 jobs Health care | 97 jobs Competitive pay | 93 jobs Flex hours | 88 jobs Conferences | 72 jobs Team events | 67 jobs Insurance | 57 jobs Medical leave | 51 jobs Parental leave | 50 jobs Flex vacation | 49 jobs Wellness | 49 jobs Relocation support | 48 jobs Fitness / gym | 39 jobs Flexible spending account | 38 jobs Equity / stock options | 36 jobs Startup environment | 31 jobs 401(k) matching | 9 jobs Salary bonus | 5 jobs Home office stipend | 5 jobs Transparency | 4 jobs

Salary Composition

The salary for a Mid-level/Intermediate Research Associate in AI/ML/Data Science typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policies and the individual’s performance.

• Region: Salaries can vary widely depending on the region. For instance, tech hubs like San Francisco or New York City often offer higher salaries to offset the higher cost of living. In contrast, regions with a lower cost of living may offer lower base salaries but could compensate with other benefits.

• Industry: The industry also plays a crucial role. Tech companies, financial services, and healthcare often offer competitive salaries and bonuses compared to academia or non-profit sectors.

• Company Size: Larger companies may offer more comprehensive compensation packages, including stock options and bonuses, while smaller startups might offer equity as a significant part of the remuneration.

Increasing Salary

To increase your salary from a Mid-level/Intermediate position, consider the following steps:

• Skill Enhancement: Continuously update and expand your skill set. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.

• Advanced Education: Pursuing a higher degree, such as a Master’s or Ph.D., can open up opportunities for higher-paying roles.

• Networking: Building a strong professional network can lead to new opportunities and insights into higher-paying positions.

• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

• Performance and Negotiation: Consistently perform well and be prepared to negotiate your salary during performance reviews or when taking on new responsibilities.

Educational Requirements

Most mid-level positions in AI/ML/Data Science require at least a Bachelor’s degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. However, a Master’s degree is often preferred and can be a significant advantage. Some roles may even require a Ph.D., especially those focused on research and development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-level positions.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and possibly some project management. Experience in specific industries or with particular technologies can also be beneficial.

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