Student Trainee Data Engineering for Data/AI Consulting in Life Science in Berlin bei idalab

idalab

Your start in Data Engineering for Data/AI Consulting in Life Science & Healthcare

We are a small independent artificial intelligence consulting company for the life science and healthcare industry. We grow organically with our clients and colleagues, cultivating an open, friendly atmosphere and encouraging a colorful mix of personalities.

Join our data engineering team and you’ll design and develop custom solutions for our clients from day one – supported by experienced colleagues every step of the way.

With us, you’ll become an expert at the intersection of AI, life science & healthcare and software engineering, with deep expertise in technology.

We offer

Involvement in highly innovative, diverse, and strategically relevant projects for our clients, with direct contact to senior management
A thoughtful onboarding process designed to help you quickly integrate into our team
A structured development programme that includes trainings, mentoring, feedback, and continuous competency evaluation based on a detailed competence framework
Annual summer retreats, with a strong focus on training and strategy development
Joining an enthusiastic team with a positive attitude towards risk-taking, steep learning curves, creativity, and failure, and with a high level of personal responsibility
High-quality work equipment, such as a MacBook Pro, provided to ensure you have everything you need to succeed
Hourly wage of €18.50 plus transparent annual profit sharing

Your profile

We are seeking candidates at the intersection of and life science. While deep expertise in both areas is not required, a background that includes both life science and quantitative perspectives is preferred. Suitable backgrounds may include, but are not limited to:

Bioinformatics, Biophysics, Biotechnology, Quantitative Molecular Biology, or Biology with significant exposure to computational/quantitative methods
Mathematics, Physics, Chemistry, Engineering with significant exposure to applications in life science

In addition, you should meet the following requirements:

Currently enrolled in a bachelor's or master's degree program
You have a passion for software engineering in combination with data processing
You’re well versed in Python development
You’re comfortable working in a Linux environment
You want to learn more about cloud technologies such as the Google cloud platform
Apart from tech, you also love communicating and breaking down complex technologies for non-technical people
Work proficiency in written and spoken English; knowledge of German is a plus but not required

Your availability

You currently live in Berlin
You are available for ~20 hours/week during the semester
You have 12 or more months left until graduation

How to apply successfully

Don't let the lack of all the requirements deter you from applying. We welcome all applicants to take a shot.

We ask you to answer two questions in the application form, please answer those according to your own understanding.

Questions

How do you think a data engineer in a professional service firm differs from a data engineer in a product-based company?
Tell us about any of your past projects (private, education or former jobs)
- What was the goal of the project?
- What did you do?
- Why was it so interesting to you?
- How does it relate to data engineering?

Our application process

Please hand in your CV and fill the fields on the application page thoughtfully. We do not require a cover letter.
After a first screening, applicants are asked to complete four steps:

1. Online test, which assesses basic knowledge of python, SQL and software engineering
2. Video interview (30-45 mins), during which we want to learn more about your motivation
3. Data engineering case study, in which you can prove your conceptual and technical skills
4. Interview day, you get to present your solution to the team. You’ll also have the opportunity to get to know your future colleagues, in a total of three individual interviews

We look forward to receiving your application!

Contact
Please apply exclusively via our career page, as we are unable to process applications by mail for data protection reasons. However, if you have any questions about this job posting or the application process, please feel free to contact us directly via mail (julian.beimes@idalab.de).

Art der Stelle: Teilzeit, Werkstudent
Arbeitsstunden: 20 pro Woche

Gehalt: 18,50€ pro Stunde

Arbeitszeiten: