{"schemaVersion":"jobsearcher.job.v1","id":"1dc9294f3e288970f7c193a5","url":"https://jobsearcher.com/jobs/1dc9294f3e288970f7c193a5","canonicalUrl":"https://jobsearcher.com/jobs/1dc9294f3e288970f7c193a5","title":"USA - Software Developer - II - USD (contract)","description":"AI Solutions Engineer, Translational Medicine\n\nRole Summary\n\nThe AI Solutions Engineer will design, build, test, and maintain reusable software, data pipelines, automation, and AI-enabled applications for Translational Medicine. The successful candidate will translate requirements from business, scientific, and operational stakeholders into reliable data products, automated quality-control workflows, dashboards, and agentic AI applications. The engineer will work closely with data scientists, product owners, and enterprise technology teams to move prioritized solutions from requirements through deployment and maintenance. The role is focused on developing scalable technical products, not conducting primary data analysis or building isolated, study-specific tools. Solutions must be secure, well documented, version-controlled, reproducible, and aligned with enterprise and industry data, privacy, cybersecurity, quality, and responsible AI requirements.\n\nKey Responsibilities\n\nAI Application and Software Engineering\n\nDesign, develop, test, document, and maintain AI-enabled applications, dashboards, APIs, and/or workflow-automation solutions using approved models and platforms.\n\nDevelop modular components that can be reused across programs, studies, disease areas, and workflow types.\n\nCreate user-friendly applications that make governed data and computational capabilities accessible to scientific and operational users.\n\nEvaluate prototypes for feasibility, reliability, scalability, maintainability, and readiness for broader deployment.\n\nImplement human review, source visibility, feedback mechanisms, access controls, and appropriate transparency measures for AI-enabled products.\n\nData Engineering and Automated Quality Control\n\nDevelop and maintain data-ingestion, transformation, reconciliation, validation, and quality-control workflows for clinical biomarker data.\n\nMaintain and expand existing R-based software, ETL scripts, and automated QC capabilities.\n\nTranslate data-transfer specifications, scientific requirements, and business rules into executable code.\n\nDevelop configurable workflows that reduce repetitive setup and manual intervention across datasets and studies.\n\nProduce clear reports, processing logs, QC outputs, and traceable records for scientific and operational review.\n\nPreserve source values, surface unresolved exceptions, and ensure workflows fail safely.\n\nSoftware Quality and Reproducibility\n\nWrite maintainable, modular, tested, and appropriately documented code.\n\nUse approved source-control, branching, release, and versioning practices with Git.\n\nMaintain traceability among requirements, source data, code versions, tests, outputs, and releases.\n\nContribute to monitoring, logging, error handling, and operational support documentation.\n\nSupport risk-appropriate peer review and independent code validation.\n\nResponsible AI and Governance\n\nDesign solutions in accordance with applicable responsible AI, privacy, cybersecurity, data-rights, third-party, quality, and regulatory requirements.\n\nDocument solution architecture, data sources, data flows, intended users, intended use, limitations, and human-oversight mechanisms.\n\nSupport required AI risk triage, mitigation documentation, and technical reviews.\n\nImplement and test agreed technical controls.\n\nEscalate governance, privacy, security, data-rights, validation, or regulatory questions to the accountable Pfizer experts.\n\nRequired Qualifications\n\nEducation and Experience\n\nBachelor's or master's degree in computer science, software engineering, data science, bioinformatics, computational biology, biomedical engineering, or a related quantitative field.\n\nAt least two years of professional experience developing data-intensive software, scientific applications, data pipelines, AI-enabled applications, or automation solutions in a production setting.\n\nDemonstrated experience delivering software beyond exploratory notebooks or one-time analyses.\n\nExperience translating stakeholder needs into technical requirements.\n\nExperience testing, documenting, releasing, maintaining, and troubleshooting software.\n\nExperience in life sciences, pharmaceuticals, biotechnology, clinical research, or other regulated environments.\n\nRequired Technical Skills\n\nProficiency in Python for application development, automation, data processing, API integration, and testing.\n\nProficiency in R, including package development or maintenance, ETL workflows, testing, and documentation.\n\nStrong command of Git and GitHub, including branching and pull requests as well as release and version management.\n\nExperience with code documentation, automated testing, logging, debugging, and error handling.\n\nExperience developing ETL, data-validation, reconciliation, or workflow-automation solutions.\n\nWorking knowledge of Linux development environments.\n\nAbility to communicate technical concepts to scientific and operational stakeholders.\n\nPreferred Qualifications\n\nExperience with clinical, multi-omics, imaging, pathology, or real-world datasets.\n\nExperience building generative-AI or agentic applications, structured outputs, evaluation frameworks, or human-in-the-loop approaches.\n\nExperience with Microsoft Copilot Studio.\n\nExperience with AWS and/or Databricks.\n\nExperience with Docker, CI/CD pipelines, and deployment automation.\n\nFamiliarity with SQL, relational DBs, and other data structures.\n\nExperience with REST APIs and MCP.\n\nFamiliarity with Airflow, Nextflow, Snakemake, CWL, or other workflow platforms.\n\nUnderstanding of data provenance, privacy, consent, regulated data, GxP considerations, and risk-based software validation.\n\nPay Rate Range\n\n55 - 60 USD hourly\n\nAdditional Notes\n\nPlease note that contractors are engaged to provide services to Pfizer on a temporary basis in connection with a specific assignment. Contractors are hired and employed through Atrium, our third-party payrolling partner.\n\nThis job posting is for a temporary role as an employee of Atrium on assignment at Pfizer. The individual selected for this role will be offered the role as an employee of Atrium; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by Atrium upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.\n\nBenefits Information\n\nComprehensive Benefits Package available based on eligibility\n\nMedical, Dental, Vision\n\nShort-Term Disability (STD)\n\nLong-Term Disability (LTD)\n\nSupplemental and Voluntary Life Insurance\n\n401(K)\n\nCommuter Benefit Program","company":"Pfizer","rawCompany":"pfizer","city":"Bothell","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-10-24T09:28:44.970Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"USA - Software Developer - II - USD (contract)","description":"AI Solutions Engineer, Translational Medicine\n\nRole Summary\n\nThe AI Solutions Engineer will design, build, test, and maintain reusable software, data pipelines, automation, and AI-enabled applications for Translational Medicine. The successful candidate will translate requirements from business, scientific, and operational stakeholders into reliable data products, automated quality-control workflows, dashboards, and agentic AI applications. The engineer will work closely with data scientists, product owners, and enterprise technology teams to move prioritized solutions from requirements through deployment and maintenance. The role is focused on developing scalable technical products, not conducting primary data analysis or building isolated, study-specific tools. Solutions must be secure, well documented, version-controlled, reproducible, and aligned with enterprise and industry data, privacy, cybersecurity, quality, and responsible AI requirements.\n\nKey Responsibilities\n\nAI Application and Software Engineering\n\nDesign, develop, test, document, and maintain AI-enabled applications, dashboards, APIs, and/or workflow-automation solutions using approved models and platforms.\n\nDevelop modular components that can be reused across programs, studies, disease areas, and workflow types.\n\nCreate user-friendly applications that make governed data and computational capabilities accessible to scientific and operational users.\n\nEvaluate prototypes for feasibility, reliability, scalability, maintainability, and readiness for broader deployment.\n\nImplement human review, source visibility, feedback mechanisms, access controls, and appropriate transparency measures for AI-enabled products.\n\nData Engineering and Automated Quality Control\n\nDevelop and maintain data-ingestion, transformation, reconciliation, validation, and quality-control workflows for clinical biomarker data.\n\nMaintain and expand existing R-based software, ETL scripts, and automated QC capabilities.\n\nTranslate data-transfer specifications, scientific requirements, and business rules into executable code.\n\nDevelop configurable workflows that reduce repetitive setup and manual intervention across datasets and studies.\n\nProduce clear reports, processing logs, QC outputs, and traceable records for scientific and operational review.\n\nPreserve source values, surface unresolved exceptions, and ensure workflows fail safely.\n\nSoftware Quality and Reproducibility\n\nWrite maintainable, modular, tested, and appropriately documented code.\n\nUse approved source-control, branching, release, and versioning practices with Git.\n\nMaintain traceability among requirements, source data, code versions, tests, outputs, and releases.\n\nContribute to monitoring, logging, error handling, and operational support documentation.\n\nSupport risk-appropriate peer review and independent code validation.\n\nResponsible AI and Governance\n\nDesign solutions in accordance with applicable responsible AI, privacy, cybersecurity, data-rights, third-party, quality, and regulatory requirements.\n\nDocument solution architecture, data sources, data flows, intended users, intended use, limitations, and human-oversight mechanisms.\n\nSupport required AI risk triage, mitigation documentation, and technical reviews.\n\nImplement and test agreed technical controls.\n\nEscalate governance, privacy, security, data-rights, validation, or regulatory questions to the accountable Pfizer experts.\n\nRequired Qualifications\n\nEducation and Experience\n\nBachelor's or master's degree in computer science, software engineering, data science, bioinformatics, computational biology, biomedical engineering, or a related quantitative field.\n\nAt least two years of professional experience developing data-intensive software, scientific applications, data pipelines, AI-enabled applications, or automation solutions in a production setting.\n\nDemonstrated experience delivering software beyond exploratory notebooks or one-time analyses.\n\nExperience translating stakeholder needs into technical requirements.\n\nExperience testing, documenting, releasing, maintaining, and troubleshooting software.\n\nExperience in life sciences, pharmaceuticals, biotechnology, clinical research, or other regulated environments.\n\nRequired Technical Skills\n\nProficiency in Python for application development, automation, data processing, API integration, and testing.\n\nProficiency in R, including package development or maintenance, ETL workflows, testing, and documentation.\n\nStrong command of Git and GitHub, including branching and pull requests as well as release and version management.\n\nExperience with code documentation, automated testing, logging, debugging, and error handling.\n\nExperience developing ETL, data-validation, reconciliation, or workflow-automation solutions.\n\nWorking knowledge of Linux development environments.\n\nAbility to communicate technical concepts to scientific and operational stakeholders.\n\nPreferred Qualifications\n\nExperience with clinical, multi-omics, imaging, pathology, or real-world datasets.\n\nExperience building generative-AI or agentic applications, structured outputs, evaluation frameworks, or human-in-the-loop approaches.\n\nExperience with Microsoft Copilot Studio.\n\nExperience with AWS and/or Databricks.\n\nExperience with Docker, CI/CD pipelines, and deployment automation.\n\nFamiliarity with SQL, relational DBs, and other data structures.\n\nExperience with REST APIs and MCP.\n\nFamiliarity with Airflow, Nextflow, Snakemake, CWL, or other workflow platforms.\n\nUnderstanding of data provenance, privacy, consent, regulated data, GxP considerations, and risk-based software validation.\n\nPay Rate Range\n\n55 - 60 USD hourly\n\nAdditional Notes\n\nPlease note that contractors are engaged to provide services to Pfizer on a temporary basis in connection with a specific assignment. Contractors are hired and employed through Atrium, our third-party payrolling partner.\n\nThis job posting is for a temporary role as an employee of Atrium on assignment at Pfizer. The individual selected for this role will be offered the role as an employee of Atrium; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by Atrium upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.\n\nBenefits Information\n\nComprehensive Benefits Package available based on eligibility\n\nMedical, Dental, Vision\n\nShort-Term Disability (STD)\n\nLong-Term Disability (LTD)\n\nSupplemental and Voluntary Life Insurance\n\n401(K)\n\nCommuter Benefit Program","datePosted":"2026-10-24T09:28:44.970Z","dateModified":"2026-10-24T09:28:44.970Z","hiringOrganization":{"@type":"Organization","name":"Pfizer","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bothell","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1dc9294f3e288970f7c193a5"},"url":"https://jobsearcher.com/jobs/1dc9294f3e288970f7c193a5"}}