Senior Scientist Computational Oncology - Darmstadt, Deutschland - Merck KGaA Darmstadt Germany

Merck KGaA Darmstadt Germany

Geprüftes Unternehmen

Darmstadt, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Work Your Magic with us

Ready to explore, break barriers, and discover more? We know you've got big plans - so do we Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics.

Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility.

Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life.

Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your role:

As a Senior Scientist Computational Oncology within the Research Unit Oncology, you will join a team of highly motivated scientists dedicated to discovering the cancer drugs of tomorrow.

You will analyze functional genomics data from externally and internally performed CRISPR screens as well as data from the public domain to generate novel drug target hypotheses and discover biomarkers directly supporting our Oncology projects and therapeutic concepts.

You will draw from your deep understanding of the underlying biology (such as DNA repair pathways in cancer), expertise in data analysis methods and robust coding skills.

Operating at the intersection of biology and data science, you will make complex datasets available to scientists without coding skills and contribute to the digital literacy within your department.

You will interact closely with the R&D bioinformaticians and work in cross-functional drug discovery teams as well as external collaborators.

Who you are:

PhD in Biology, Biotechnology, Bioinformatics or related discipline
Two years minimum postdoctoral research experience ideally in drug discovery in industry settings
Extensive handson programming experience for biological data analysis (R or Python) including maintenance of code quality and documentation (e.g. Git)
Handson experience analyzing and interpreting functional genomics screens and ideally experience with DNAseq analyses
Research experience in oncology and DNA damage response with publication track record preferred
Excellent written and spoken English skills
Excellent team player, eager to work in multidisciplinary teams

What we offer:
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences.

We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology.

We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress