Salary for Mid-level / Intermediate Research Associate during 2024

Salary details

The average mid-level / intermediate Research Associate salary lies between USD 50,308 and USD 85,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 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 comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most significant component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary widely, ranging from 5-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 5-15%.

Regional differences play a significant role in salary composition. For instance, positions in tech hubs like Silicon Valley or New York City may offer higher base salaries and more substantial stock options due to the high cost of living and competitive job market. Industry also influences salary composition; tech companies might offer more in stock options, while financial firms might provide higher cash bonuses. Company size can affect the package as well, with larger companies often providing more comprehensive benefits and smaller startups offering equity as a significant part of the compensation.

Increasing Salary

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

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's or Ph.D. in a related field, can open doors to higher-paying roles and leadership positions.

• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and engaging with thought leaders. Networking can lead to new job opportunities and collaborations.

• Performance and Results: Demonstrate your value by consistently delivering high-quality work and achieving measurable results. Document your contributions and discuss them during performance reviews to negotiate raises.

• Certifications: Obtain relevant certifications that can validate your expertise and make you more competitive in the job market.

Educational Requirements

Most mid-level research associate 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 provide a deeper understanding of complex algorithms, statistical methods, and data analysis techniques, which are crucial for research roles.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications 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 in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level research associate role requires 3-5 years of experience in AI/ML or data science. This experience should include hands-on work with machine learning models, data analysis, and programming languages such as Python or R. Experience in a specific industry, such as healthcare, finance, or technology, can also be beneficial, as it provides domain knowledge that can be applied to research projects.

Related salaries

Want to contribute?