Research Associate (all genders)

Evotec; Göttingen; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading biotechnology company in Göttingen is seeking a Research Associate in Computational Biology to analyze OMICs data for drug discovery. The ideal candidate will hold a Ph.D. and have experience in R and/or Python along with knowledge in cell biology. This role offers a collaborative environment with a diverse team and various benefits including flexible working hours and annual bonus payments.

Leistungen

30 days of annual holiday

Flexible working hours

In-house canteen

Annual variable bonus payment

Qualifikationen

• Experience with analysis of multidimensional datasets (transcriptomics, proteomics, Omics)
• Solid knowledge of cell biology
• Expertise in early Drug Discovery is a plus

Aufgaben

• Analyze OMICs data for novel drug targets and disease signatures
• Develop computational methods for target identification
• Perform integrative analysis of biological data

Kenntnisse

R and/or Python analysis

Cell signalling knowledge

Experience with interdisciplinary teams

Fluency in English

Ausbildung

Ph.D. in Life Sciences or related field

Jobbeschreibung

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

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.