Trainee (all genders) GOglobal Digital Transformation in Regulatory Affairs, LS, limited to 2 years

Job description

Trainee (all genders) GOglobal Digital Transformation in Regulatory Affairs, LS, limited to 2 years

Grow. Develop. Experience.

Maximize your potential for development and performance and take the chance to grow within our organization. At GOglobal, you will follow a 24-month individual rotation plan, gain international experience and receive exposure to the business as well as visibility at senior management level. On top, you will benefit from competent support by excellent business mentors, from valuable training sessions to foster your professional and personal development and you will gain plenty of opportunity for networking.

 

Your Role:

In the course of a 24-month rotation plan, you get to know the multiple aspects of Digital Transformation in Regulatory Affairs. You will support digital transformation projects within Life Science to exploit existing and to introduce latest tools in the area of robotic process automation RPA and big data analytics BDA.

You will support digital transformation projects for development and implementation of automation tools to ease and accelerate regulatory processes in the Life Science business around the globe. You will support big data analytics activities as well as data extraction as the precondition to run robotic process automation RPA tools smoothly and accurately. You will establish new trends in big data analytics to enhance quality of primary as well as secondary regulatory data and you will actively coordinate with key stakeholders in different countries and functions to ensure fast implementation, knowledge transfer and best practice sharing.

After a first assignment at your home base in Germany, you will be going international to one of our subsidiaries for a second assignment. In the third assignment, you will get the chance to broaden your perspective and experience back in Germany.

 

Who you are:

• Master/Ph.D. in natural/engineering/computer science with focus on robotic process automation RPA or data science.
• International experience as well as first practical experience via internships
• Fluency in English (German or other language skills a plus)
• Project management/rapid prototyping skills.
• Proficient in Python/R or other interpreted, high-level, general-purpose programming languages.
• A track record of interesting software projects preferably in the field of data analytics, machine learning or deployments on cloud stacks (e.g. Google Compute or AWS)
• Analytics / ML Stacks: Keras, Tensorflow, Spark

 

Start of the Program: September 1st, 2020

 

Job Requisition ID: 202299

Location: Darmstadt

Career Level: B - Recent University Graduate(<1 year of experien

Working time model: full-time

US Disclosure
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.

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