Salary as Business information scientist in München

What does one earn as Business information scientist?

As a Business information scientist, one earns an average of 59.019€ per year in München. This corresponds to a gross monthly salary of 4.918€. The salary as a Business information scientist in München ranges between 54.504€ and 66.537€.

In München, there are

5 Business information scientist jobs on jobvector.de.

Average Salary

59.019 € 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. 54.504 €

Gross salary/Year

max. 66.537 €

Gross salary/Year

Year Month

Similar Interesting Professions

As a Business information scientist, you have numerous specialization opportunities and related professions, such as

Business informatics specialist , Business computer scientist , Information scientist ,

for which you could also be qualified with your knowledge.

What factors influence your salary as Business information scientist?

There are several career factors that influence your salary as a Business information scientist. 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 as a Business information scientist 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.

Job vacancies as Business information scientist

Internal transfer and establishment of analytical methods for biologics, including ADCs Planning, coordination, statistical evaluation and reporting of analytical results related to ADC process development and upscaling activities, incl. stability studies in a GLP environment ...
Your responsibilities include, but not limited to: Manage and implement advanced analytics projects with a deep understanding of different AI models and patent data, collaborating with internal and external stakeholders. Data governance & management of IP data Ensure d...
Ensuring the functionality of our laboratory equipment Cleaning and maintaining glassware and laboratory equipment Performing simple laboratory tasks, e.g. calibration activities according to instructions Assisting with the organization of the warehouse, ordering and reple...
Execution of compilation and review of SOP, QC templates and reports Support in the cause of preparation of QC laboratories for audits and inspections Execution of instrument trainings including documentation of trainings Review of instrument logbooks and performance-documen...
Represent GENEWIZ/Azena Life Sciences' Genomics service portfolio (NGS, Sanger Sequencing, Gene Synthesis). Working in close cooperation with existing clients. Active business development to extend the client portfolio. Identify and convert leads. Create sales strategy with...
All Business information scientist Jobs

Frequently asked questions about Business information scientist salaries

How much do you earn as Business information scientist?
The salary data presented here is based on salary information provided by employers in job advertisements as well as salary information from over 10,000 professionals and managers from surveys conducted by jobvector.

These professionals bring a variety of experience and expertise from different companies and positions, making the salary data a comprehensive and meaningful source of average salaries.
It is important to emphasize that this salary data represents averages and cannot be directly attributed to individual job postings. However, they do provide valuable guidance and insight into the salary structures of the field being sought for both job seekers and employers.