Intern (m/f/d) in Computational Biology

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Intern (m/f/d) in Computational Biology 

Understanding Chronic Kidney Disease Heterogeneity through Genetics

YOUR TASKS AND RESPONSIBILITIES

• Scout relevant publicly available or internal results of genome-wide association studies (GWAS).
• Prepare and homogenize GWAS data to ensure accuracy and consistency for further analysis.
• Develop and implement a data-driven analysis strategy to build genetically homogenous subgroups.
• Utilize internal large-scale patient cohorts to clinically characterize the identified subgroups. 
• Engage in close exchange with researchers and clinicians for the interpretation of the findings.

WHO YOU ARE

• Bachelor’s degree in relevant quantitative discipline (e.g.: mathematics, statistics, data science, physics, computer science, bioinformatics, biostatistics, engineering, psychology, quantitative social sciences) 
• First experiences in data pre-processing, data analysis/modelling
• Good programming skills, preferable in R or Python
• Interest in biomedical and clinical research questions 
• Sufficient skills in English to communicate in an international team (German is not mandatory)
• Preferred: experience in clustering approaches and analyzing genetic data

We are looking forward to your online application for starting a voluntary internship (ideally for six months) as soon as possible at our location in Wuppertal or Berlin!

What we offer
Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

• Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.
• We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.
• We encourage sustainable mobility by providing climate-friendly transportation options such as job tickets and bike sharing.
• As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 

Location:           ​​ ​   Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Wuppertal-Elberfeld​

​​Division: ​               Pharmaceuticals​

Reference Code:  817694​