<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class=""><b class="">About the job</b></div><div class=""><br class=""></div><div class=""><i class="">Do you have a passion for data-driven biology to improve human health?</i></div><div class=""><i class=""><br class=""></i></div><div class=""><i class="">Do you want to push the boundaries of bioinformatics to make new biomedical discoveries possible?</i></div><div class=""><i class=""><br class=""></i></div><div class=""><i class="">Then we have the job for you.</i></div><div class=""><br class=""></div><div class=""><b class="">The job</b></div><div class=""><br class=""></div><div class="">We are seeking a curious and experienced bioinformatician with a knack for translating Omics data to new biological discoveries. You will be part of the External Research & Innovation department that helps leading pharma and biotech companies derive core biological insights from biomedical big data analysis.</div><div class=""><br class=""></div><div class="">This role is ideal for someone with an interest in lifelong learning and being at the frontiers of new bioinformatics techniques. This position exposes you to a diverse, exciting and challenging project portfolio that covers a wide range of the pharma value chain: from GWAS hits to Target Discovery to cell-type-specific Mode-of-Action.</div><div class=""><br class=""></div><div class="">The ideal candidate has broad experience with single-cell genomics data, and an interest in applying and designing new and powerful tools for discovery of drug targets, and a passion for bringing cutting-edge research to real applications.</div><div class=""><br class=""></div><div class="">You will play a leading role in impacting how data and bioinformatics are used in the life science and pharmaceutical industries. Responsibility, exciting challenges, and ongoing development are guaranteed in this position.</div><div class=""><br class=""></div><div class="">Your key tasks include</div><div class=""><ul class="MailOutline"><li class="">Lead bioinformatics analysis of large-scale genomic and biomedical datasets to address biological questions with statistical confidence</li><li class="">Design and plan scientific projects in close collaborations with our project teams, by translating clients’ aims and needs into state-of-the-art scientific and technical solutions</li><li class="">Disseminate findings to project stakeholders (e.g. executives and scientists) via creative visualizations, clear-cut presentations and documents</li><li class="">Initiate and execute innovative internal R&D projects at the nexus of target discovery and single-cell genomics</li><li class="">Contribute to the development of new efficient workflows and package pipelines for AI/ML-based bioinformatics applications</li></ul></div><div class=""><br class=""></div><div class="">Your qualifications</div><div class=""><ul class="MailOutline"><li class="">Ph.D. degree in Bioinformatics or related fields (or MSc with at least 4-6 years of work experience)</li><li class="">2+ years experience working with single-cell genomics data (scRNA-seq and preferably other modalities)</li><li class="">Knowledge and experience analyzing and integrating Omics data types (e.g. genomics, transcriptomics, epigenomics, proteomics)</li><li class="">Excellent data science and programming skills in R and Python</li><li class="">A solid understanding of human cell/molecular/disease biology</li><li class="">Strong foundation in statistics and machine learning</li><li class="">Proficiency with structuring projects and code for robust, generalizable, and reproducible data analysis</li><li class="">Experience with Agile project management tools (e.g. GitLab)</li><li class="">Proficiency with Linux, Git version control and high-performance computing environments</li><li class="">Advanced data visualization skills</li><li class="">Excellent communication and presentation skills. The ability to explain complex analytical concepts to clients and people from other fields</li><li class="">Strong team-oriented mindset and interpersonal skills. You contribute to a diverse, open and collaborative working environment, and prioritize knowledge sharing</li></ul></div><div class=""><br class=""></div><div class="">Your extra qualifications</div><div class=""><ul class="MailOutline"><li class="">Experience with Target Discovery and Pharmacoinformatics methods</li><li class="">Broad experience with human genetics and the analysis of large-scale genomic association studies</li><li class="">Knowledge of network biology approaches</li><li class="">Broad experience with large Omics public consortia data sets and databases (e.g. GTEx, HCA, etc)</li><li class="">Experience with pipelines and workflow management (e.g. Snakemake, Nextflow)</li><li class="">Mentor and train team members, advising on methodologies and best practices to help overcome technical obstacles</li><li class="">Client-facing skills and are curious about customer problems</li><li class="">Naturally seeks creativity, innovation and excellence in your work</li></ul></div><div class="">You are not afraid to challenge the status quo and drive positive change. You contribute with a forward-thinking attitude and develop proposals to enhance existing processes and practices. You have a can-do entrepreneurial spirit and interest in commercial opportunities and collaborations.</div><div class=""><br class=""></div><div class=""><b class="">Your new team</b></div><div class=""><br class=""></div><div class="">You will be a part of a fast-growing company with an agile, vibrant environment and world-class expertise. You can look forward to a strong social and collaborative company culture - built bottom-up by curious, ambitious and good humans. By joining Intomics, you will become part of a value-driven organization that works with dedication and efficiency while maintaining a high degree of flexibility and a good work-life balance.</div><div class=""><br class=""></div><div class="">Your will work out of our attractively located office in Lyngby, North of Copenhagen, Denmark.</div><div class=""><br class=""></div><div class=""><b class="">About Intomics</b></div><div class=""><br class=""></div><div class="">We’re on a mission to lead data-driven biology to improve human health. We derive core biological insights from the integration and analysis of biomedical big data. We collaborate closely with our clients in the biotech & pharmaceutical industry, and exploit the synergy between our clients’ specific disease knowledge and our unique data analytics expertise and technology. Together we make a difference for patients. This is what drives the people of Intomics. To learn more about Intomics visit <a href="https://www.intomics.com/" class="">https://www.intomics.com/</a>.</div><div class=""><br class=""></div><div class=""><b class="">Contact and application</b></div><div class=""><br class=""></div><div class="">Please send your motivated application, CV and references to <a href="mailto:applications-2105@intomics.com" class="">applications-2105@intomics.com</a> no later than January 14th, 2022. Applications will be reviewed on an ongoing basis, so do not hesitate to apply.</div><div class=""><br class=""></div><div class="">Questions can be directed to Pascal N. Timshel, Team Leader Target Discovery & Single-cell Genomics</div><div class=""><br class=""></div><div class="">Your application will be treated in accordance with our policies for processing of personal data incorporating the General Data Protection Regulation of the EU.</div><div class=""><br class=""></div><div class=""><a href="https://www.linkedin.com/jobs/view/2840741037/" class="">https://www.linkedin.com/jobs/view/2840741037/</a></div><div class=""><a href="https://www.intomics.com/open-vacancies/bioinformatician-single-cell-genomics-target-discovery/" class="">https://www.intomics.com/open-vacancies/bioinformatician-single-cell-genomics-target-discovery/</a></div><div class=""><br class=""></div></body></html>