Jetzt als Student Trainee Data/AI Consulting in Life Science & Healthcare (x/f/m) durchstarten – Bei idalab in Berlin

idalab

Berlin

Stellenausschreibung

Your start in 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.

By joining our Student Trainee Programme, you will work on client projects from day one with the guidance of experienced colleagues. Our programme offers a unique opportunity to gain hands-on experience at the intersection of AI, data, life science and healthcare.

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
Some experience with relevant software tools (e.g., R, Python, SQL) gained in an academic or business environment
Some experience with data analysis, statistics, or computational methods
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.

As part of the application process, we require you to respond to a some questions on our application form. This aims to establish a common understanding of the role during the interview phase. We read and value this answer a lot.

Application process

Please hand in your CV and fill the fields on the application page.

After a first screening, applicants are asked to complete three steps:

1. Video interview (30 mins)
We want to learn more about you and your motivation. You can learn more about idalab, the role and we will make sure to answer all your questions.

2. AI/Life science consulting case study
You can prove your conceptual, technical and methodological skills. No previous experience in solving consulting case studies is required.

3. Onsite interviews and presentation
You get to present your solution to the team. In personal interviews we have the opportunity to get to know each other

We are looking 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

Gehalt: 18,50€ pro Stunde

Arbeitszeiten: