Evotec

www.evotec.com

3 Jobs

4,918 Employees

About the Company

Evotec is a biotechnology company that is committed to advancing drug discovery and development. Through flexible business models, we collaborate with pharmaceutical companies, biotechs, foundations, and government agencies on a substantial scale. We believe that by working together, we can make a difference in the lives of patients.

Our Pipeline Co-Creation model represents our adaptable, multi-modality, fully integrated end-to-end approach to drive collaborations and services across all phases of drug discovery and development – from discovery of novel targets to achieving Proof of Concept in the clinic and into commercial manufacturing.

We aspire to contribute data-driven disease understanding and early disease relevance in humans to bring the probability of success up. We select the right modality, which is then propelled forward on our platforms by our passionate people striving for the fastest and most effective ways towards patient impact. This is enabled by convergence of human ingenuity with data and AI.

We also offer specific solutions, products, and CRO/CDMO-like services, always in support of the Biopharma R&D innovator. Our more than 4,000 scientists work closely with numerous partners concurrently, delivering fully integrated research and development portfolios or individual projects with the highest quality standards and efficiency, coupled with great science, passion, engagement, and communication.

Listed Jobs

Company Name: Evotec
Job Title: Research Scientist
Job Description: Job Title: Research Scientist – Bioinformatics Role Summary: Conduct advanced bioinformatics analysis to support oncology drug discovery. Design and implement transcriptomics methods within the PanHunter platform, integrate multi‑omics data, and provide biological interpretation to guide therapeutic decisions. Expectations: - PhD in Bioinformatics, Computational Biology, Mathematics, Statistics, or related field; alternatively MSc with ≥3 years bioinformatics experience. - Strong transcriptomics expertise and proven analytical pipeline development. - Proficiency in programming (R required; at least one additional language). - Linux system familiarity. - Ability to deliver results on schedule in a fast‑paced, interdisciplinary team. Key Responsibilities: - Collaborate with oncology researchers and cross‑disciplinary teams to define data analysis requirements. - Design, code, and validate algorithms for transcriptomics data processing in PanHunter. - Analyze diverse omics datasets (public and in‑house) for drug‑discovery projects. - Develop and maintain reproducible bioinformatics workflows. - Communicate findings to stakeholders through reports, visualizations, and presentations. Required Skills: - Advanced knowledge of transcriptomics tools (e.g., alignment, quantification, differential expression). - Strong programming in R; proficiency in at least one additional language (Python, Java, etc.). - Experience with R/Shiny for interactive visualizations (plus). - Familiarity with oncology datasets and clinical data integration (plus). - Comfortable using Linux command line, version control (Git), and workflow management. - Excellent written and verbal communication; self‑managed and collaborative. Required Education & Certifications: - PhD in Bioinformatics, Computational Biology, Mathematics, Statistics, Applied Computer Science, or equivalent. - MSc with ≥3 years professional bioinformatics experience (alternative path). ---

Company Name: Evotec
Job Title: Spécialiste Assurance Qualité Produit – Pharmacien libérateur / QA Process specialist – Batch release PharmD – All genders
Job Description: **Job Title** QA Process Specialist – Batch Release PharmD **Role Summary** Drive the design, review, and pharmaceutical certification of bioproduct batch records while ensuring compliance with Good Manufacturing Practices (GxP) and company quality policies. Act as the primary liaison for production on deviations, corrective and preventive actions, and new product introductions. **Expectations** - Deliver accurate, compliant batch releases within agreed timelines. - Maintain high integrity of batch data and documentation. - Proactively identify and resolve quality deviations and regulatory gaps. **Key Responsibilities** - Design and review batch records for upstream (USP) and downstream (DSP) bioprocesses. - Certify batches in line with delegated pharmacist authority. - Approve documents confirming conformity of starting materials. - Investigate, report, and close non‑conformities related to manufacturing, testing, and storage. - Manage CAPA and change control activities within the QA scope. - Draft, update, and enforce QA procedures; monitor regulatory updates. - Support recruitment, onboarding, training, and skill development of QA staff. - Compile and report quality metrics and KPI trends to management. - Represent QA in client audits, regulatory inspections, and internal auditing activities. **Required Skills** - In‑depth knowledge of pharmaceutical GxP, batch release, and data integrity. - Expertise in USP and DSP process documentation and validation. - Strong analytical, problem‑solving, and investigative abilities. - Excellent written and verbal communication for cross‑functional coordination. - Experience with CAPA, change control, and deviation handling. - Ability to train and mentor colleagues and lead audit preparation. **Required Education & Certifications** - PharmD or equivalent pharmacy degree. - Minimum of 3–5 years QA experience in biopharmaceutical manufacturing. - GxP and batch release certifications (e.g., CQE, Certified Quality Engineer) preferred.

Toulouse, France

On site

27-09-2025

Company Name: Evotec
Job Title: EVP Head of Global In Silico and AI (all genders)
Job Description: **Job Title** EVP Head of Global In Silico & AI (All Genders) **Role Summary** Executive leader responsible for defining, executing, and scaling Evotec’s global AI‑driven in‑silico strategy across the drug discovery pipeline. Leads cross‑functional teams, drives enterprise‑wide adoption of AI/ML and computational science, and represents the company to external stakeholders, partners, and regulators. **Expectations** - Deliver a unified, scalable in‑silico capability that becomes a core business driver. - Build and helm a multidisciplinary center of excellence integrating AI/ML, bioinformatics, data strategy, and platform engineering. - Maintain board‑level visibility and influence over strategic priorities, investments, and ROI. - Ensure regulatory compliance and data governance while fostering innovation. **Key Responsibilities** 1. Own global AI & in‑silico strategy; align with scientific vision and growth objectives. 2. Design operating model linking data science, bioinformatics, AI/ML, and simulation across discovery & development. 3. Evolve the In‑Silico Hub from PoCs to end‑to‑end solutions for target ID, lead optimization, and translational science. 4. Oversee deployment of AI/ML models, molecular simulations, and data pipelines across R&D. 5. Lead multi‑modal data integration (omics, imaging, real‑world data, lab automation). 6. Build and manage data function (governance, stewardship, architecture, modeling, product delivery). 7. Champion a matrixed leadership model for in‑silico teams within adjacent operations. 8. Gatekeep AI projects, prioritise resources, and manage long‑term capabilities demand. 9. Govern full lifecycle of in‑silico tools, ensuring business impact and ROI. 10. Partner with translational medicine, IT, clinical, regulatory, ops, and commercial teams to embed AI tools and GTM strategies. 11. Analyse market trends, steer AI investments, and develop strategic partnerships (academia, AI vendors, regulators). 12. Ensure compliance with data privacy, FAIR principles, FDA/EMA expectations; delegate to SMEs as needed. 13. Define & report KPIs for performance, usage, and strategic value of in‑silico capabilities. **Required Skills** - Strategic & executive leadership in biotech/pharma AI/in‑silico domains. - Deep expertise in computational drug discovery (target ID, lead optimisation, patient stratification). - Proficiency in ML/AI technologies, systems biology, data integration, and scaling from concept to product. - Experience building high‑performance cross‑disciplinary teams. - Strong stakeholder engagement in matrixed global environments. - Thought‑leadership credentials: publications, consortia involvement, speaker roles. - Platform architecture, data governance, and regulatory alignment knowledge. - Familiarity with FDA/EMA frameworks for in‑silico tools. - Cloud‑native platform experience (AWS, Azure) and high‑performance or federated data environments. - Proven track record in external partnership development. **Required Education & Certifications** - Minimum MA/MSc or PhD in Computational Biology, Bioinformatics, Computer Science, or related discipline. - 10+ years of AI/in‑silico experience in biotech/pharma with executive‑level leadership. ---