{"schemaVersion":"jobsearcher.job.v1","id":"5c7d2dcca7062633766575e9","url":"https://jobsearcher.com/jobs/5c7d2dcca7062633766575e9","canonicalUrl":"https://jobsearcher.com/jobs/5c7d2dcca7062633766575e9","title":"Hydra Developer (Python / Pharma /Life Sciences)","description":"W2 or 1099 independent onlyneed LinkedInWe are seeking an experienced Hydra Developer to design, build, and scale configuration-driven applications supporting advanced analytics, machine learning, and scientific workflows in a regulated pharmaceutical environment.This role will focus on leveraging Hydra to manage complex, parameterized workflows, enabling reproducibility, scalability, and rapid experimentation across R&D, clinical, and data science use cases.Hydra is an open-source Python framework used to configure complex applications through hierarchical, composable configurations and command-line overrides, making it ideal for research and ML-heavy environments.Key ResponsibilitiesHydra / Python Development Design and implement configuration-driven Python applications using Hydra and OmegaConf Build modular, composable configuration structures (YAML-based) to support:ML experimentation pipelinesData processing workflowsSimulation and modeling environments Enable multi-run experimentation (parameter sweeps, scenario testing) using Hydra’s job launching capabilities Develop reusable components leveraging Hydra’s ability to instantiate objects dynamically from configuration Integrate Hydra with:ML frameworks (PyTorch, TensorFlow, Scikit-learn)Experiment tracking tools (e.g., W&B, MLflow)Cloud / HPC execution environmentsPharma / Life Sciences Application Development Build and support solutions across:Clinical data pipelines (e.g., SDTM/ADaM processing)Regulatory submission workflowsPharmacovigilance / safety analyticsR&D data science platforms Ensure solutions meet GxP, 21 CFR Part 11, and validation requirements Support inspection-ready workflows with reproducibility and audit trails Collaborate with:Clinical Data ScientistsBiostatisticiansRegulatory Affairs teamsDigital / R&D ITArchitecture & Engineering Architect systems that separate code and configuration, improving maintainability and reproducibility Implement CI/CD pipelines for ML and data workflows Optimize performance for large-scale data and compute workloads Ensure robust logging, monitoring, and traceability (leveraging Hydra’s built-in logging capabilities) Contribute to platform standardization for experiment configuration and executionRequired QualificationsTechnical Skills Strong Python development experience (5+ years preferred) Hands-on experience with Hydra and OmegaConf Experience building config-driven or parameterized applications Familiarity with:YAML-based configuration systemsObject instantiation patterns (dependency injection via config) Experience with ML/data tools:PyTorch / TensorFlow / Scikit-learnPandas / NumPy Knowledge of:REST APIs, ETL pipelines, and data orchestrationGit, CI/CD, containerization (Docker/Kubernetes)Pharma / Domain Experience 3+ years in pharmaceutical, biotech, or CRO environments Experience with at least one:Clinical data systems (e.g., Medidata, Veeva, SAS)Regulatory systems (e.g., RIM, submissions workflows)Safety systems (e.g., Argus) Understanding of:GxP validationData integrity principles (ALCOA+)Audit/inspection readinessPreferred Qualifications Experience using Hydra for:ML experimentation platformsHyperparameter sweeps / distributed runs Familiarity with:Experiment tracking tools (MLflow, Weights & Biases)Workflow orchestration (Airflow, Prefect) Experience in AI/ML applied to drug discovery, clinical trials, or real-world evidence Exposure to cloud platforms (AWS, Azure, GCP)Key Competencies Strong problem-solving in complex, parameterized systems Ability to bridge data science and engineering Experience working in regulated environments Strong communication with both technical and scientific stakeholdersExample Use Cases This Role Will Support Configurable clinical data ingestion pipelines across studies Reproducible statistical analysis workflows Scalable AI/ML experimentation frameworks for drug discovery Automated regulatory reporting pipelines","company":"Hatch Pros","rawCompany":"hatch pros","city":"Bloomfield","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-04-15T08:46:18.215Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Hydra Developer (Python / Pharma /Life Sciences)","description":"W2 or 1099 independent onlyneed LinkedInWe are seeking an experienced Hydra Developer to design, build, and scale configuration-driven applications supporting advanced analytics, machine learning, and scientific workflows in a regulated pharmaceutical environment.This role will focus on leveraging Hydra to manage complex, parameterized workflows, enabling reproducibility, scalability, and rapid experimentation across R&D, clinical, and data science use cases.Hydra is an open-source Python framework used to configure complex applications through hierarchical, composable configurations and command-line overrides, making it ideal for research and ML-heavy environments.Key ResponsibilitiesHydra / Python Development Design and implement configuration-driven Python applications using Hydra and OmegaConf Build modular, composable configuration structures (YAML-based) to support:ML experimentation pipelinesData processing workflowsSimulation and modeling environments Enable multi-run experimentation (parameter sweeps, scenario testing) using Hydra’s job launching capabilities Develop reusable components leveraging Hydra’s ability to instantiate objects dynamically from configuration Integrate Hydra with:ML frameworks (PyTorch, TensorFlow, Scikit-learn)Experiment tracking tools (e.g., W&B, MLflow)Cloud / HPC execution environmentsPharma / Life Sciences Application Development Build and support solutions across:Clinical data pipelines (e.g., SDTM/ADaM processing)Regulatory submission workflowsPharmacovigilance / safety analyticsR&D data science platforms Ensure solutions meet GxP, 21 CFR Part 11, and validation requirements Support inspection-ready workflows with reproducibility and audit trails Collaborate with:Clinical Data ScientistsBiostatisticiansRegulatory Affairs teamsDigital / R&D ITArchitecture & Engineering Architect systems that separate code and configuration, improving maintainability and reproducibility Implement CI/CD pipelines for ML and data workflows Optimize performance for large-scale data and compute workloads Ensure robust logging, monitoring, and traceability (leveraging Hydra’s built-in logging capabilities) Contribute to platform standardization for experiment configuration and executionRequired QualificationsTechnical Skills Strong Python development experience (5+ years preferred) Hands-on experience with Hydra and OmegaConf Experience building config-driven or parameterized applications Familiarity with:YAML-based configuration systemsObject instantiation patterns (dependency injection via config) Experience with ML/data tools:PyTorch / TensorFlow / Scikit-learnPandas / NumPy Knowledge of:REST APIs, ETL pipelines, and data orchestrationGit, CI/CD, containerization (Docker/Kubernetes)Pharma / Domain Experience 3+ years in pharmaceutical, biotech, or CRO environments Experience with at least one:Clinical data systems (e.g., Medidata, Veeva, SAS)Regulatory systems (e.g., RIM, submissions workflows)Safety systems (e.g., Argus) Understanding of:GxP validationData integrity principles (ALCOA+)Audit/inspection readinessPreferred Qualifications Experience using Hydra for:ML experimentation platformsHyperparameter sweeps / distributed runs Familiarity with:Experiment tracking tools (MLflow, Weights & Biases)Workflow orchestration (Airflow, Prefect) Experience in AI/ML applied to drug discovery, clinical trials, or real-world evidence Exposure to cloud platforms (AWS, Azure, GCP)Key Competencies Strong problem-solving in complex, parameterized systems Ability to bridge data science and engineering Experience working in regulated environments Strong communication with both technical and scientific stakeholdersExample Use Cases This Role Will Support Configurable clinical data ingestion pipelines across studies Reproducible statistical analysis workflows Scalable AI/ML experimentation frameworks for drug discovery Automated regulatory reporting pipelines","datePosted":"2026-04-15T08:46:18.215Z","dateModified":"2026-04-15T08:46:18.215Z","hiringOrganization":{"@type":"Organization","name":"Hatch Pros","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bloomfield","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5c7d2dcca7062633766575e9"},"url":"https://jobsearcher.com/jobs/5c7d2dcca7062633766575e9"}}