Research Associate - Computational Biologist (all genders)

Evotec; Hamburg; Hybrid; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading biopharmaceutical company in Göttingen is seeking a Research Associate - Computational Biologist to analyze large-scale omics data. You will work in a dynamic, interdisciplinary environment, focusing on target discovery and clinical applications. Ideal candidates should have a PhD or Master’s in relevant fields and proficiency in R/Python. The role offers a competitive package including remote work options and extensive holiday benefits.

Leistungen

30 days annual holiday

Flexible working hours

In-house canteen

Annual variable bonus payment

Qualifikationen

• Solid understanding of transcriptomics or single-cell sequencing.
• Experience analyzing high-dimensional omics data.
• Familiarity with databases or knowledge graphs is a plus.

Aufgaben

• Conduct exploratory analyses of multidimensional clinical datasets.
• Collaborate with dry and wet lab teams for novel analysis methods.
• Present findings to internal and external stakeholders.

Kenntnisse

R and Python proficiency

Machine learning experience

Communication skills

Interdisciplinary collaboration

Ausbildung

PhD or Master’s degree in life sciences

Jobbeschreibung

Join our dynamic Computational Biology Team at Evotec in Göttingen and contribute to the analysis of large-scale omics data with a strong focus on target discovery and clinical applications across multiple disease areas. You’ll work in a collaborative, interdisciplinary environment, engaging with internal teams and external partners to drive innovation in drug discovery and development.

Research Associate - Computational Biologist (all genders)
Full-time | Permanent

Your Key Responsibilities:

• Conduct exploratory analyses of multidimensional clinical datasets, with a focus on transcriptomics and high-resolution omics data.
• Generate hypotheses and prioritize target candidates across various disease indications.
• Perform data-driven patient stratification from large, heterogeneous cohorts.
• Collaborate at the interface of dry and wet lab teams to support the development of novel methods for analysing patient-derived multi-omics data.
• Analyse, interpret, and visualize complex datasets in close collaboration with computational scientists, bioinformaticians, and biologists.
• Present findings clearly and effectively to internal project teams and external stakeholders.

Your Profile:

• PhD or Master’s degree (with several years of relevant experience post‑graduation) in life sciences, bioinformatics, computational biology, or a related field.
• Solid understanding of transcriptomics, single‑cell or spatial sequencing; familiarity with proteomics, metabolomics, or genetics is a plus.
• Strong biological knowledge in one or more disease areas.
• Proficiency in R and/or Python for high‑dimensional omics data analysis.
• Experience with machine learning or AI‑based tools is a strong advantage.
• Familiarity with ontologies, databases, or knowledge graphs is beneficial.
• Excellent communication skills and the ability to collaborate effectively in interdisciplinary teams.
• 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, remote work, 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 in English, 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.