Intern (M/F/d) in Computational Biology - Berlin, Deutschland - Bayer
Beschreibung
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 genomewide association studies (GWAS).
- Prepare and homogenize GWAS data to ensure accuracy and consistency for further analysis.
- Develop and implement a datadriven analysis strategy to build genetically homogenous subgroups.
- Utilize internal largescale 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 preprocessing, 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
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 climatefriendly 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.
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.
Location:
Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Wuppertal-Elberfeld
Division:
Pharmaceuticals
Reference Code:817694
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