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Overview
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the Institutes of Health (NIH). Position
Axle is seeking a
Senior Healthcare Data Engineer
to join our vibrant team at the Institutes of Health (NIH) supporting the
Center for Advancing Translation Sciences (NCATS)
located in
Rockville, MD . Benefits 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN)
Key Responsibilities Design and Automation of Data Pipelines
Build and maintain scalable and efficient data pipelines for clinical and research datasets. Automate the extraction, transformation, and loading (ETL) processes to ensure timely and reliable data delivery, while optimizing workflows for downstream analysis.
Data Ingestion, Standardization, and Harmonization
Ingest large-scale datasets from diverse clinical and research sources. Collaborate with data science teams to harmonize data across systems Implement best practices for cleaning and standardizing data to enable consistent analytics.
Standards Compliance and Modeling
Ensure datasets meet healthcare and research compliance requirements by aligning data with established Common Data Models such as CDISC and OMOP. Work closely with clinical data teams to maintain integrity and usability of standardized datasets.
Workflow Development and Reproducibility
Develop, optimize, and automate workflows using tools like Snakemake or Nextflow. Containerize pipelines using Docker to support reproducibility and scalability across research and production environments. Promote continuous integration and deployment within data workflows.
Collaboration and Documentation
Work closely with multidisciplinary teams including data scientists, biostatisticians, and software engineers to align data infrastructure with project needs. Maintain comprehensive documentation of pipeline architectures and workflow logic to ensure clarity, transparency, and reproducibility.
Required Qualifications
Bachelor's degree in computer science, Data Engineering, Bioinformatics, or a related field, with 6-10+ years of relevant experience; or a Master's degree with 4-7 years of experience. Proven ability to design, build, and maintain scalable data pipelines and automate ETL processes. Hands-on experience working with clinical or research data and familiarity with healthcare data standards and Common Data Models (e.g., CDISC, OMOP). Familiarity with big data frameworks like Apache Spark or Hadoop. Strong skills in Python, SQL, and shell scripting (e.g., Bash). Experience using Docker to containerize data workflows for reproducibility and scalability. Proficiency with version control systems like Git and continuous integration practices.
Additional Qualifications
Experience with cloud platforms (e.g., AWS, GCP, Azure) for large-scale data processing. Proficiency with workflow management systems such as Snakemake, Nextflow, or similar tools.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com Axle is an equal opportunity employer. This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range: $115,000$155,000 USD #INDPSD #J-18808-Ljbffr
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the Institutes of Health (NIH). Position
Axle is seeking a
Senior Healthcare Data Engineer
to join our vibrant team at the Institutes of Health (NIH) supporting the
Center for Advancing Translation Sciences (NCATS)
located in
Rockville, MD . Benefits 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN)
Key Responsibilities Design and Automation of Data Pipelines
Build and maintain scalable and efficient data pipelines for clinical and research datasets. Automate the extraction, transformation, and loading (ETL) processes to ensure timely and reliable data delivery, while optimizing workflows for downstream analysis.
Data Ingestion, Standardization, and Harmonization
Ingest large-scale datasets from diverse clinical and research sources. Collaborate with data science teams to harmonize data across systems Implement best practices for cleaning and standardizing data to enable consistent analytics.
Standards Compliance and Modeling
Ensure datasets meet healthcare and research compliance requirements by aligning data with established Common Data Models such as CDISC and OMOP. Work closely with clinical data teams to maintain integrity and usability of standardized datasets.
Workflow Development and Reproducibility
Develop, optimize, and automate workflows using tools like Snakemake or Nextflow. Containerize pipelines using Docker to support reproducibility and scalability across research and production environments. Promote continuous integration and deployment within data workflows.
Collaboration and Documentation
Work closely with multidisciplinary teams including data scientists, biostatisticians, and software engineers to align data infrastructure with project needs. Maintain comprehensive documentation of pipeline architectures and workflow logic to ensure clarity, transparency, and reproducibility.
Required Qualifications
Bachelor's degree in computer science, Data Engineering, Bioinformatics, or a related field, with 6-10+ years of relevant experience; or a Master's degree with 4-7 years of experience. Proven ability to design, build, and maintain scalable data pipelines and automate ETL processes. Hands-on experience working with clinical or research data and familiarity with healthcare data standards and Common Data Models (e.g., CDISC, OMOP). Familiarity with big data frameworks like Apache Spark or Hadoop. Strong skills in Python, SQL, and shell scripting (e.g., Bash). Experience using Docker to containerize data workflows for reproducibility and scalability. Proficiency with version control systems like Git and continuous integration practices.
Additional Qualifications
Experience with cloud platforms (e.g., AWS, GCP, Azure) for large-scale data processing. Proficiency with workflow management systems such as Snakemake, Nextflow, or similar tools.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com Axle is an equal opportunity employer. This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range: $115,000$155,000 USD #INDPSD #J-18808-Ljbffr