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Job Summary
We are seeking a Scientific Informatics Lead to drive biologics research workflows and scientific informatics solutions across discovery and preclinical R&D. This role will partner closely with scientists, laboratory teams, product specialists, and IT stakeholders to translate complex research processes into scalable, reliable platform capabilities. The ideal candidate will possess strong domain expertise in biologics research and hands-on experience with Genedata Biologics or similar scientific informatics platforms. This position requires leadership across requirements gathering, workflow design, platform enhancements, integrations, testing, and operational support.
Key Responsibilities:
· Lead requirements discovery for biologics experiments, assays, samples, entities, and scientific data management workflows.
· Translate scientific and laboratory processes into user stories, functional specifications, acceptance criteria, and solution designs.
· Provide senior oversight for platform configuration, workflow design, enhancements, testing, deployment readiness, and defect resolution activities.
· Design and optimize workflows supporting biologics discovery, antibody discovery, protein engineering, assay development, screening, and translational research activities.
· Guide integrations between scientific informatics platforms, ELN/LIMS systems, laboratory instruments, registration systems, and downstream data environments.
· Support data lineage, scientific metadata management, sample traceability, and research data governance initiatives.
· Coordinate cross-functional teams including scientists, informatics specialists, validation, infrastructure, security, data management, and vendor stakeholders.
· Oversee SOP development, process documentation, training materials, test evidence, release documentation, and operational procedures.
· Support platform modernization, migration, reporting, data quality, and integration initiatives across research environments.
· Provide technical and functional leadership to ensure scientific platforms effectively support business and research objectives.
Qualifications:
· Strong domain experience in biologics discovery, antibody discovery, protein engineering, assay development, screening, cell biology, or translational research.
· Hands-on experience with Genedata Biologics or comparable biologics-focused ELN, LIMS, or scientific informatics platforms.
· Strong understanding of experiment capture, sample management, entity lineage, assay data, scientific metadata, and research data traceability.
· Experience gathering requirements, configuring workflows, conducting functional testing, supporting defect triage, and managing platform enhancements.
· Proven ability to lead platform initiatives and provide hands-on scientific informatics expertise beyond end-user support.
· Experience with Genedata Screener, Benchling, Dotmatics, IDBS, BIOVIA, or similar scientific research platforms is preferred.
· Familiarity with APIs, SQL, Python, integration frameworks, data migration, and data quality management.
· Experience supporting regulated life sciences, biotechnology, pharmaceutical, or research environments is highly desirable.
· Bachelor’s, Master’s, or Doctoral degree in Life Sciences, Biotechnology, Bioinformatics, Computer Science, Engineering, or a related discipline.
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Applications will be accepted until 23 Oct 2026.
Salary and Other Compensation:
The annual salary for this position is between $[132,000 -155,000] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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