Bioinformatics Scientist-Biology

Does it excite you to turn multi-omics data into actionable biological insights that move discovery programs toward the clinic, and do you have experience building robust bioinformatics analyses and pipelines? If this sounds like you, and you are ready to take on a broad area of responsibilities, then you could be our new colleague. The role provides bioinformatics support to the Global Biology research team across pipeline projects from discovery to clinic. It drives analysis and integration of multi-omics datasets to enable target and mechanism understanding and inform program decisions. The role also contributes to building scalable computational pipelines and tools, in collaboration with internal stakeholders and external partners. Responsibilities Provide bioinformatics support to Global Biology project teams across discovery‑to‑clinic activities, translating biological questions into fit‑for‑purpose analyses. Analyze, integrate, and interpret multi‑omics datasets (e.g., transcriptomics, genomics, proteomics) to generate clear, decision‑driving insights. Develop, implement, and maintain reproducible computational pipelines and analysis workflows for data integration and downstream interpretation. Collaborate with external partners to co‑develop tools, pipelines, and best practices, including incorporation of machine‑learning/artificial‑intelligence approaches where relevant. Partner cross‑functionally with Chemistry, Drug Metabolism and Pharmacokinetics/Safety, Formulation, and Clinical stakeholders to ensure analyses address key development questions. Communicate results through clear visualizations, summaries, and presentations tailored to both scientific teams and senior/executive audiences. Qualifications Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field. 0–3+ years of relevant experience in biotech/pharmaceutical industry or equivalent translational research experience. Demonstrated ability to analyze and integrate multi‑omics data, including transcriptomics, genomics, and proteomics. Experience developing computational pipelines/tools for data processing, integration, and analysis (with an emphasis on reproducibility). Exposure to or experience with machine‑learning/artificial‑intelligence methods applied to biological datasets. Strong communication and presentation skills, with ability to explain complex analyses to cross‑functional and senior stakeholders. Compensation Anticipated base pay range: $116,000 - $142,000. Team You will join the Global Biology research organization and work closely with project teams and key functional areas to deliver high‑quality analyses that enable timely decisions. The role interfaces broadly across research and development and supports internal and external collaborations that strengthen data integration and translational impact. #J-18808-Ljbffr Zealand Pharma U.S., Inc.