Salary for Entry-level / Junior Research Associate during 2024

Salary details

The average entry-level / junior Research Associate salary lies between USD 49,183 and USD 58,717 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 Associate roles

The three most common job tag items assiciated with entry-level / junior 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 | 35 jobs Python | 28 jobs Machine Learning | 21 jobs Computer Science | 19 jobs Statistics | 17 jobs PyTorch | 14 jobs PhD | 14 jobs TensorFlow | 13 jobs Engineering | 13 jobs Data analysis | 11 jobs LLMs | 11 jobs R | 10 jobs Mathematics | 10 jobs Finance | 9 jobs Java | 9 jobs Deep Learning | 8 jobs Testing | 8 jobs Generative AI | 8 jobs NLP | 6 jobs Economics | 6 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior 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 | 25 jobs Health care | 10 jobs Competitive pay | 10 jobs Flex hours | 9 jobs Startup environment | 8 jobs Conferences | 8 jobs Equity / stock options | 4 jobs 401(k) matching | 2 jobs Flex vacation | 2 jobs Wellness | 2 jobs Insurance | 2 jobs Travel | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Medical leave | 1 jobs Salary bonus | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for an entry-level or junior research associate in AI/ML/Data Science typically consists of a base salary, which is the fixed amount, and may include bonuses and additional remuneration. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Bonuses are often performance-based and can range from 5% to 15% of the base salary. Additional remuneration might include stock options, especially in startups or tech companies, and benefits such as health insurance, retirement plans, and professional development allowances.

Career Advancement

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

• Skill Enhancement: Continuously upgrade your technical skills, especially in programming languages like Python and R, and tools like TensorFlow and PyTorch.
• Specialization: Focus on a niche area within AI/ML, such as natural language processing, computer vision, or reinforcement learning, which can make you more valuable.
• Networking: Attend industry conferences, workshops, and meetups to connect with professionals and learn about new opportunities.
• Advanced Education: Pursue a master's degree or Ph.D. in a related field, which can open doors to higher-level positions and salaries.
• Certifications: Obtain relevant certifications to validate your skills and knowledge.

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 employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or research.

Helpful Certifications

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

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

These certifications can provide a structured learning path and validate your expertise in specific tools and platforms.

Experience Requirements

For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, projects, or research assistantships. Experience with data analysis, machine learning models, and programming is often required. Familiarity with data visualization tools and cloud platforms can also be beneficial.

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