MSD Animal Health Technology Labs
Jobs at MSD Animal Health Technology Labs
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Recently posted jobs
5 Hours AgoSaved
Artificial Intelligence • Pet • Software
Lead integrative analysis of spatial and single-nucleus multi-omics from neurodegenerative patients to evaluate therapeutic hypotheses, discover biomarkers, build predictive causal models, and support translational strategies. Develop and deploy analytic workflows, collaborate with AI/ML teams and experimental/clinical colleagues, communicate results, and contribute to publications and program decision-making.
9 Hours AgoSaved
Artificial Intelligence • Pet • Software
Apply atomistic molecular modeling and molecular dynamics to support drug substance and formulation development (antibodies, small molecules, peptides, biologics). Develop predictive science, data-analysis and visualization workflows, build dashboards/reports, lead projects, collaborate with cross-functional scientists, and publish/present research to influence digital strategy and pipeline decisions.
9 Hours AgoSaved
Artificial Intelligence • Pet • Software
Lead biologics data engineering as domain owner: design and govern scalable pipelines ingesting experimental and process data, enforce metadata/ontology standards, deliver analysis-ready datasets, build scientist-facing dashboards, mentor engineers, and influence DSCS digital data strategy to enable modeling, optimization, and cross-site manufacturing analytics.
9 Hours AgoSaved
Artificial Intelligence • Pet • Software
Design, build, and maintain scalable data pipelines ingesting upstream biologics experimental and process data. Deliver analysis-ready datasets, map instrument outputs to ontologies, produce scientist-facing visualizations and dashboards, identify data quality issues, enforce data standards, and collaborate with cross-functional scientific and engineering teams. Version-control pipeline code and support integration of new data streams to enable modeling, scale-up predictions, and multivariate analytics.
YesterdaySaved
Artificial Intelligence • Pet • Software
Lead development, validation, and testing of histopathology-based biomarker assays and digital pathology solutions. Provide expert anatomic pathology review of clinical samples, collaborate with cross-functional teams on biomarker strategies for clinical trials, and support implementation of GxP-compliant laboratory workflows and digital pathology algorithm validation.
YesterdaySaved
Artificial Intelligence • Pet • Software
Lead planning and medical oversight of ophthalmology clinical trials across phases, including study design, execution, monitoring, analysis, regulatory reporting, and publication. Collaborate with cross-functional teams and external investigators, support business development, and maintain scientific expertise. Travel approximately 25%.
Artificial Intelligence • Pet • Software
Lead and manage a small team of epidemiologists focused on hematology. Provide scientific oversight for epidemiologic study design, execution, analysis, and reporting; set strategy for assets and indications; manage budgets, staffing, and performance; present results to internal governance and regulators; publish and represent the company externally.
YesterdaySaved
Artificial Intelligence • Pet • Software
Lead a team of quantitative pharmacology scientists to drive model-informed decision-making across an immunology portfolio, develop regulatory strategies and translational modeling, oversee regulatory submissions, mentor staff, set priorities and resources, and represent QP2 in cross-functional and business discussions to accelerate development and differentiation.
Artificial Intelligence • Pet • Software
Lead a cross-site Discovery Oncology team to translate clinical insights into discovery strategy, drive reverse-translation, inform target/modality selection, address resistance mechanisms, influence portfolio decisions, and grow staff while collaborating with clinical, translational, and data science colleagues.
Artificial Intelligence • Pet • Software
Lead a Boston-based Discovery Oncology team focused on small-molecule therapeutics. Design and advance programs to deliver preclinical candidates and IND filings, partner with chemistry, clinical, translational, regulatory and BD teams, mentor program leaders, contribute to strategy, and foster a high-performance, collaborative culture.
YesterdaySaved
Artificial Intelligence • Pet • Software
Senior scientific leader who defines pharmacology and translational strategy, advises discovery teams, guides assay/model selection, supports SAR progression and BD&L, mentors scientists, manages portfolio resourcing and dashboards, and drives cross-functional alignment to accelerate preclinical-to-clinical translation across modalities.
YesterdaySaved
Artificial Intelligence • Pet • Software
Lead the Merck Manuals department overseeing editorial, digital publishing, product, marketing, partnerships, and business operations. Ensure editorial standards, manage editorial teams and external contributors, guide digital platform selection and publishing, and drive audience engagement and financial/brand outcomes.
YesterdaySaved
Artificial Intelligence • Pet • Software
Provide strategic and operational leadership for early immunology clinical programs globally. Oversee study planning/execution (Phase 1/early POC), site/investigator networks, cross-functional coordination, data integrity, document review, risk mitigation, talent development, and contribute to portfolio strategy and business development.
Artificial Intelligence • Pet • Software
Lead the Regulatory CMC team for late-stage biologics (ADCs), develop and execute global CMC regulatory and post-approval strategies, oversee high-quality submissions and Health Authority interactions, manage cross-functional alignment, risk assessments, resource allocation, and talent development to ensure compliant global product registration and lifecycle management.
YesterdaySaved
Artificial Intelligence • Pet • Software
Lead clinical research and development for hematology oncology programs across phases. Design and oversee trials, analyze safety/efficacy, manage cross‑functional teams, author development documents, engage external investigators, and support regulatory submissions and business development. Travel approximately 20%.
Artificial Intelligence • Pet • Software
Lead and direct hematology clinical research across all development phases: design, oversee execution and monitoring, analyze findings, manage regulatory reporting and publications, collaborate cross-functionally, engage external investigators, author development documents, and travel ~20% for study management.
YesterdaySaved
Artificial Intelligence • Pet • Software
Lead clinical research planning and execution for oncology (lymphoma) programs across development stages. Design and monitor trials, analyze clinical data, support regulatory submissions and publications, collaborate cross-functionally, supervise clinical scientists, and maintain external investigator relationships. Travel ~20% for study oversight.
YesterdaySaved
Artificial Intelligence • Pet • Software
Lead global clinical development for thoracic oncology programs: design and oversee trials, develop clinical strategy, analyze results, liaise with cross‑functional teams and external investigators, mentor clinical teams, and present findings at scientific meetings. Responsible for IND planning, regulatory submissions, publications, and ~20–25% travel.
Artificial Intelligence • Pet • Software
Lead development and implementation of proteomics, metabolomics, and multi-omics computational pipelines; perform data analysis and integration; build dashboards and databases for non-computational stakeholders; author regulatory technical documentation; collaborate across IT, analytical, manufacturing, quality, and regulatory teams; ensure reproducible, FAIR, versioned code and workflows to support biomanufacturing and pipeline programs.
Artificial Intelligence • Pet • Software
Lead intake, prioritize, build, and operationalize scalable data products and automations for Discovery, Preclinical, and Translational Medicine Ops. Design and maintain data pipelines, implement data quality and monitoring, create dashboards and lightweight models, and drive adoption through training and governance. Collaborate with IT and cross-functional stakeholders to ensure secure, scalable, supportable solutions.
