Salary in the field of Alternsforschung in Germany

What does one earn in the field of Alternsforschung?

Employees in the field of Alternsforschung earn an average of 49.539€ per year in Germany. This corresponds to a gross monthly salary of 4.128€. The salary for professionals in the field of Alternsforschung ranges between 52.206€ and 52.207€.

Nationwide, there are

39 Alternsforschung jobs on
Average Salary 49.539 € gross/year
To give you a realistic assessment of your potential income, we use the 25th and 75th percentiles of our salary data for salary values (min, max). This improves the quality of our salary information by excluding distorting (extremely high and low) salaries.
min. 52.206 € Gross Salary/Year max. 52.207 € Gross Salary/Year
Demand in the job market for positions in the field of Alternsforschung is currently high, and many companies are looking for suitable professionals. Among the employers currently seeking applicants in the field of Alternsforschung are: Universität zu Köln , Max Planck Institute for Biology of Ageing .

Similar Interesting Fields

As a professional in the field of Alternsforschung, you have numerous specialization opportunities and related fields, such as

Forschung , Stammzellforschung , Biomedizinische Forschung ,

for which you could also be qualified with your knowledge.

What factors influence your salary in the field of Alternsforschung?

There are several career factors that influence your salary in the field of Alternsforschung. Average salary tends to increase with the size of the company you work for. In large corporations, salaries are often higher compared to start-ups and small companies. However, in smaller companies, you may have the opportunity to advance more quickly on the career ladder.

One of the key factors affecting your salary in the field of Alternsforschung is your work experience. With each year on the job, you gain valuable knowledge and experience that become increasingly better compensated over time. In just a few years, you transition from a beginner to a young professional. After more than 10 years of experience, you can then be considered a professional. With increasing experience, you also have the opportunity to move into positions with personnel responsibility. A position with personnel responsibility is generally paid significantly better, and there are further factors influencing your salary here as well. For example, a department head with personnel responsibility for over 20 employees earns more than a group leader responsible for 5 employees.

Your educational qualification, the city, and the federal state where you work are also factors that influence your salary.

Alternsforschung - Latest salary data 2024

How up-to-date is the salary data in the Alternsforschung area?

At jobvector, we attach great importance to always providing you with up-to-date and accurate salary information. Salaries in the Alternsforschung sector have changed significantly over the last few years due to factors such as rising wage levels, inflation, new legal regulations, bonus payments and tax adjustments. It is therefore particularly important to us to present up-to-date data that gives you as an applicant a good and realistic basis for the next salary negotiation.

The salary information on jobvector is consistently kept up to date and is never more than three years old. This up-to-dateness guarantees you a precise and clearly structured overview of the salary structures in the Alternsforschung sector, and effectively supports you in preparing for your salary negotiations.

Stellenangebote im Bereich Alternsforschung

All Alternsforschung Jobs

The salary information presented here is based on salary data provided by employers in job postings as well as surveys of over 10,000 professionals in the STEM field conducted by jobvector.

These professionals bring a wealth of experience and expertise from various companies and positions, making the data a comprehensive and meaningful source for average values.

It is important to emphasize that these salary figures represent averages and cannot be directly attributed to individual job postings. However, they provide valuable guidance and insights into salary structures in the STEM field for both job seekers and employers.