Salary for Entry-level / Junior Research Assistant during 2024

Salary details

The average entry-level / junior Research Assistant salary lies between USD 39,500 and USD 76,262 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. 22, 2024

Top 20 Job Tags for Entry-level / Junior Research Assistant roles

The three most common job tag items assiciated with entry-level / junior 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 | 65 jobs Python | 55 jobs Machine Learning | 41 jobs Computer Science | 38 jobs Engineering | 32 jobs Statistics | 30 jobs R | 26 jobs Mathematics | 19 jobs Data analysis | 17 jobs Matlab | 15 jobs Physics | 13 jobs PhD | 12 jobs Security | 11 jobs Deep Learning | 10 jobs Biology | 10 jobs Privacy | 10 jobs Stata | 10 jobs PyTorch | 9 jobs Linux | 9 jobs Economics | 9 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Research Assistant roles

The three most common job benefits and perks assiciated with entry-level / junior Research Assistant 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 | 31 jobs Health care | 15 jobs Competitive pay | 13 jobs Flex hours | 11 jobs Equity / stock options | 9 jobs Medical leave | 7 jobs Conferences | 5 jobs Parental leave | 3 jobs Flex vacation | 3 jobs Team events | 3 jobs Relocation support | 3 jobs 401(k) matching | 2 jobs Insurance | 2 jobs Wellness | 1 jobs Gear | 1 jobs Startup environment | 1 jobs Salary bonus | 1 jobs Flexible spending account | 1 jobs Paid sabbatical | 1 jobs

Salary Composition

The salary for an entry-level or junior research assistant in AI/ML/Data Science typically consists of a fixed base salary, which forms the bulk of the compensation. In some regions or industries, there might be additional components such as bonuses or stock options, although these are more common in larger tech companies or startups. For instance, in tech hubs like Silicon Valley, bonuses and equity can significantly augment the base salary. In contrast, smaller companies or those in academia might offer fewer additional remunerations. The industry also plays a role; finance and tech sectors often provide higher bonuses compared to academia or non-profit organizations.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in high-demand areas such as deep learning, natural language processing, or big data analytics.
• Advanced Education: Pursuing a master's or Ph.D. can open doors to higher-paying roles.
• Networking: Build a strong professional network through conferences, workshops, and online platforms like LinkedIn.
• Certifications: Obtain relevant certifications to validate your skills and make you more competitive.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and raises.

Educational Requirements

Most entry-level 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 statistics. Some roles might prefer candidates with a master's degree, especially if the position involves more complex research tasks. A strong foundation in programming, statistics, and machine learning principles is essential.

Helpful Certifications

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

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• IBM Data Science Professional Certificate
• TensorFlow Developer Certificate

These certifications demonstrate your expertise and commitment to the field, making you a more attractive candidate to potential employers.

Experience Requirements

For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, academic projects, or personal projects. Experience with programming languages like Python or R, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, is often expected. Demonstrating experience in data analysis, model building, and problem-solving is crucial.

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