Research Associate (all genders) – Computational Biology - OMICs data analysis

Full time and permanent

Collaborate with Evotec’s Computational Biology team located in Göttingen to harness data science for breakthrough therapeutics.

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 (Transcriptomics, Proteomics, Genomics and Metabolomics) with biological focus on metabolic diseases and Obesity.

Your key responsibilities

• Use your expertise in liver, kidney or metabolic diseases to analyse OMICs data from large scale studies (e.g. Genomics, Transcriptomics and Proteomics) for the identification of novel drug targets and disease signatures
• Develop and apply computational methods to analyse Omics data for target identification and validation
• Perform integrative analysis of multidimensional biological data to support project teams with novel, biologically relevant insights and hypotheses.
• Work closely with our interdisciplinary team of computational scientists, bioinformaticians and biologists
• Communicate and present results within Evotec project teams and to external clients

Your ideal qualifications

• Ph.D. in Life Sciences, Computational Biology or a related field
• Experience in R and/or Python based analysis of multidimensional datasets (transcriptomics, proteomics and / or Omics-enabled high-throughput screening)
• Solid knowledge of cell signalling and cell biology
• Expertise in early Drug Discovery is a plus
• Having an experience with interdisciplinary teams is a plus
• 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 provide your application documents (CV and cover letter, including earliest possible start date and salary requirements). We are looking forward to getting to know you!

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.

Evotec is a life science company with a unique business model that delivers on its mission to discover and develop highly effective therapeutics and make them available to the patients. The Company’s multimodality platform comprises a unique combination of innovative technologies, data and science for the discovery, development, and production of first-in-class and best-in-class pharmaceutical products. Evotec leverages this "Data-driven R&D Autobahn to Cures” for proprietary projects and within a network of partners including all Top 20 Pharma and over 800 biotechnology companies, academic institutions, as well as other healthcare stakeholders. Evotec has strategic activities in a broad range of currently underserved therapeutic areas, including e.g. neurology, oncology, as well as metabolic and infectious diseases. Within these areas of expertise, Evotec aims to create the world-leading co-owned pipeline for innovative therapeutics and has to-date established a portfolio of more than 200 proprietary and co-owned R&D projects from early discovery to clinical development. Evotec operates globally with more than 5,000 highly qualified people. The Company’s 17 sites offer highly synergistic technologies and services and operate as complementary clusters of excellence. For additional information please go to www.evotec.com and follow us on X/Twitter @Evotec and LinkedIn.

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