**Job Description**:Takeda is unwavering in our commitment to patients. With the patient at the center of everything we do, we continue to innovate and drive changes that will better their lives:we're looking for like:minded professionals to join us.Today, we are the number one pharmaceutical company in Japan and a global industry leader, with approximately 50,000 employees around the world. We are united by our four priorities (patient, trust, reputation and business) and Takeda:ism (Integrity, Fairness, Honesty and Perseverance), and strive towards better health and a brighter future for people worldwide.Principal Scientist, Drug Safety Research and Evaluation, Computational BiologyAre you looking for a patient:focused company that will inspire you and support your career? If so, be empowered to take charge of your future at Takeda. Become a vital contributor to our inspiring, bold mission by joining as a Computational biologist in Discovery Toxicology within Preclinical Translational Sciences in our Shonan, Japan office at iPark.OBJECTIVESAs part of the Global Discovery Toxicology Teamwork in interdisciplinary teams within and across Global Safety to provide safety support to early discovery teams in Neuroscience and Immuno:oncology and engagein bioinformatics support activities across the global Discovery Toxicology groupEngage in the planning and execution of analysis of multi omics data and/or integrate them to provide new insights, solutions, and hypotheses for drug discovery projects from toxicology perspectives.On:target related safety investigationOff:Tox mechanism hypothesis generationACCOUNTABILITIESProvide pharmaceutical drug project teams with expert advice and direction to improve the quality of therapeutics selected for further development based on proactive risk assessment of target:and chemotype:related toxicitiesDevelop comprehensive target safety reviews with risk mitigation plan for early drug discovery project teams based on literature, bioinformatics, and other predictive tools.risking strategies to aid in the selection and optimization of large and small molecule therapeutics, as well as new therapeutic modalities**Qualifications**:EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLSMinimum of MS/PharmD with 9+ years of pharmaceutical experience or PhD in a scientific discipline and 3+ years of experience working at a pharmaceutical companyKnowledge and hands:on experience of multi:omics data analysisTranscriptome; RNAseq, scRNAseq, MicoroarrayGenomics; WGS, Exome, SNPchipProteomicsMetabolomicsPrograming skills for statistical analysis and results visualization (e.g. R, Python, Matlab etc.)Knowledge and hands:on experience of machine learning algorithms utilizationFamiliarity with popular public/proprietary bioinformatics database and software (e.g., IPA, MetaCore, Cytoscape, GTEx, TG:GATEs, NCBI, EBI etc.)Broad scientific knowledge including
