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Bioinformatics Research Associate

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🏢 Evotec AG📍 Hamburg💼 Full-Time💻 On-site🏭 Biotechnology, Pharmaceuticals, Drug Discovery💰 €55,000 - €70,000 per year

About Company

Evotec is a leading drug discovery and development company committed to creating innovative medicines for patients worldwide. With a strong foundation in integrated drug discovery solutions, we leverage cutting-edge technologies and deep scientific expertise across various therapeutic areas, including neuroscience, oncology, metabolic diseases, and infectious diseases. Our mission is to accelerate the discovery and development of novel pharmaceutical products, transforming scientific ideas into tangible health benefits. At Evotec, we foster a collaborative, dynamic, and intellectually stimulating environment where talented individuals can thrive, push the boundaries of science, and make a significant impact on global health. Join our diverse team of over 4,500 highly skilled scientists and professionals dedicated to innovation and excellence.

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Job Description

A Bioinformatics Research Associate at Evotec plays a pivotal role in accelerating innovative drug discovery programs by transforming complex biological data into actionable insights. In this full-time, on-site position based in our state-of-the-art facility in Hamburg, you will be at the forefront of applying sophisticated computational approaches to unravel the mysteries of disease biology and identify novel therapeutic targets. Your expertise will be instrumental in bridging the gap between cutting-edge experimental biology and advanced computational analysis, working hand-in-hand with our world-class scientists across various therapeutic areas, including oncology, neuroscience, metabolic diseases, and infectious diseases. This role offers an unparalleled opportunity to directly contribute to projects with real-world impact, potentially leading to life-saving medicines.

You will be deeply involved in the entire lifecycle of drug discovery, from early target identification and validation to preclinical development, utilizing high-throughput data generated from genomics, transcriptomics, proteomics, epigenomics, and single-cell sequencing platforms. Your daily activities will include designing and implementing robust bioinformatics pipelines, performing rigorous statistical analyses on large-scale datasets, and developing innovative algorithms to extract meaningful biological information. We are looking for a highly motivated and skilled individual who is passionate about leveraging computational power to solve challenging biological problems and possesses a robust understanding of bioinformatics principles and their practical applications within a drug discovery context.

The ideal candidate will thrive in a fast-paced, intellectually stimulating environment, demonstrating both independent problem-solving capabilities and excellent team collaboration skills. You will be responsible for meticulously documenting your work, effectively communicating complex findings through compelling visualizations and presentations to a diverse audience of biologists, chemists, data scientists, and clinicians. This is more than just a data analysis role; it’s an opportunity to influence strategic decisions in drug development, refine experimental designs, and contribute to the generation of new hypotheses that drive scientific progress. We believe in fostering continuous learning and innovation, providing you with access to the latest technologies, high-performance computing resources, and professional development opportunities to further your career in the dynamic field of biotechnology. Join Evotec, and become a key part of a global team dedicated to turning scientific breakthroughs into therapeutic realities for patients worldwide.

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Key Responsibilities

  • Analyze large-scale biological datasets (e.g., RNA-seq, WES, scRNA-seq, proteomics) generated from various experimental platforms.
  • Develop, optimize, and maintain robust bioinformatics pipelines and workflows for data processing, quality control, and analysis.
  • Collaborate closely with interdisciplinary teams of biologists, chemists, and data scientists to understand project requirements and deliver data-driven insights.
  • Interpret complex biological data, identify key findings, and translate them into actionable conclusions for drug discovery programs.
  • Contribute to the design of experiments, advising on appropriate sequencing strategies and data analysis methodologies.
  • Stay abreast of the latest advancements in bioinformatics tools, algorithms, and biological databases, evaluating and integrating new technologies.
  • Generate high-quality visualizations and present results clearly and concisely to both technical and non-technical audiences.
  • Ensure accurate documentation of all analyses, code, and methodologies to maintain reproducibility and scientific rigor.
  • Participate in scientific discussions, contribute to publications, and present at internal and external scientific meetings.

Required Skills

  • Master's degree in Bioinformatics, Computational Biology, Genetics, Molecular Biology, or a related field.
  • Minimum of 2 years of relevant experience in bioinformatics data analysis, preferably in a pharmaceutical or biotechnology setting.
  • Proficiency in programming languages such as Python and R for data manipulation, analysis, and visualization.
  • Strong command-line skills in a Linux/Unix environment.
  • Solid understanding of statistical methods applicable to biological data analysis.
  • Experience with common bioinformatics tools and databases (e.g., BLAST, GATK, samtools, Ensembl, NCBI, UCSC Genome Browser).
  • Fundamental knowledge of molecular biology, genetics, and genomics principles.
  • Excellent communication and presentation skills, with the ability to convey complex scientific information effectively.

Preferred Qualifications

  • Ph.D. in Bioinformatics, Computational Biology, or a closely related discipline.
  • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and workflow management systems (e.g., Nextflow, Snakemake).
  • Experience with machine learning techniques for biological data analysis.
  • Knowledge of epigenomics, proteomics, or single-cell sequencing data analysis.
  • Experience working in an Agile development environment.
  • Demonstrated ability to contribute to scientific publications or patent applications.

Perks & Benefits

  • Competitive salary and comprehensive benefits package.
  • Generous vacation policy and flexible working arrangements.
  • Employer-contributed pension scheme and company-sponsored health programs.
  • Opportunities for continuous professional development, training, and career advancement.
  • Access to state-of-the-art facilities, cutting-edge technologies, and high-performance computing resources.
  • A collaborative, international, and stimulating work environment.
  • Subsidized public transportation (e.g., 'Deutschlandticket' contribution).
  • Employee assistance program and various company-sponsored events.

How to Apply

Interested candidates are encouraged to apply by clicking on the application link below. Please submit your detailed resume/CV and a cover letter outlining your relevant experience and why you are the ideal candidate for this role. Ensure your application clearly demonstrates your expertise in bioinformatics and your passion for drug discovery. We look forward to reviewing your application!

Apply Now

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