Loading ...
Loading ...
Computational Biologist (all genders)
Visualizza: 117
Giorno di aggiornamento: 07-10-2024
Località: Göttingen Lower Saxony
Categoria: Tecnologie dell’informazione
Industria:
Loading ...
Contenuto del lavoro
In the Global Bioinformatics team at Evotec more than 100 scientists with diverse backgrounds in biology, computer science, mathematics, and biomedicine work on the analysis and interpretation of omics data. Together with our colleagues in the wetlabs we develop and continuously improve our high throughput and high precision omics platforms. In drug discovery projects we work together with scientist from multiple other disciplines in a global organization of more than 5.000 employees across 15 sites. Our tasks include omics data handling and qc, method and software development, and the biological interpretation of analysis results. Our goal is to enable better decisions for medicines that matter.
To support our Bioinformatics team we are looking for a highly motivated
Computational Biologist (all genders)
Full-time and permanent
Join our computational biology team to support Evotec on the data driven R&D Autobahn to cures! If you are passionate about solving complex puzzles, and the idea of extracting biological insights from large datasets sounds exciting to you, apply to join our computational biology team!
About our team
Our team is fully integrated in the drug discovery process, and we are mainly working with large-scale OMICs data (genomics, transcriptomics, proteomics, metabolomics) with biological focus on metabolic diseases and inflammation.
Your key responsibilities
- Perform analysis of OMICs data with focus on transcriptomics & proteomics to support validation of In Vitro and In Vivo models
- Identification of novel targets and biomarkers using OMICS data
- Work at the interface of dry and wet lab to support data analysis and interpretation
- Develop solutions for data interpretation, visualization, and standardized reporting for our project teams & external clients
- Advance the automation of data interpretation in an interdisciplinary team of computational scientists, bioinformaticians and biologists
- Communicate and present results to Evotec internal and external clients
Your ideal qualifications
- You hold a master’s or PhD degree in life sciences or a related field
- You are experienced in R-based analysis of OMICS data (transcriptomics, proteomics)
- Expertise in early Drug Discovery is a plus
- Experience with R markdown, GitLab is a plus
- You are experienced in working on and with interdisciplinary teams
- You have excellent communication skills with the ability to interact professionally with all levels of staff, collaborators and clients
- Fluency in English is required
Our offer
- A position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community
- A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork
- 30 days of annual holiday, capital forming benefits, flexible working hours, holiday pay, annual variable bonus payment, and in-house canteen
To apply, please click on the “Apply” button and provide your application documents (CV including earliest possible start date and salary requirements). We are looking forward to getting to know you and to your application.
FR : Dans le cadre de sa politique Diversité, Evotec étudie, à compétences égales, toutes les candidatures dont celles des personnes en situation de handicap.
ENG : In the frame of our Diversity policy, Evotec considers, with equal competences, all applications including people with disabilities.
Loading ...
Loading ...
Scadenza: 21-11-2024
Clicca per candidarti per un candidato gratuito
Segnala lavoro
Loading ...
LAVORI SIMILI
-
⏰ 17-12-2024🌏 Wolfsburg, Lower Saxony
-
⏰ 23-11-2024🌏 Wolfsburg, Lower Saxony
-
⏰ 27-11-2024🌏 Wolfsburg, Lower Saxony
-
⏰ 16-11-2024🌏 Oldenburg, Lower Saxony
Loading ...
-
⏰ 02-12-2024🌏 Oldenburg, Lower Saxony
-
⏰ 28-11-2024🌏 Nordenham, Lower Saxony
-
⏰ 27-11-2024🌏 Wolfsburg, Lower Saxony
-
⏰ 30-11-2024🌏 Hildesheim, Lower Saxony