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Job Department: Data Science

Senior Biostatistician, Pharmacoepidemiology

(ID: 2025-8583)

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 National Institutes of Health (NIH).

Axle is seeking a Senior Biostatistician, Pharmacoepidemiology to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.

 

Benefits We Offer:

  • 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)

We are seeking a talented Senior Pharmacoepidemiologist to join our team to support projects at the NIH’s National Center for Advancing Translational Sciences (NCATS). In this role, you will collaborate with clinical and data scientists, methodologists, and software engineers to develop and execute exemplar causal inference studies. You will work as a subject matter expert to create a real-world evidence (RWE) methods decision tree; support master protocol development; and support development of gold-standard guides and methodologies for conducting best practices causal inference research. You will: design, execute, and analyze studies using the National Clinical Cohort Collaborative (N3C) data; review and recommend strategies for selecting study designs to answer causal inference questions; help establish, and implement appropriate analytic value sets. 

 

The ideal candidate for the Senior Pharmacoepidemiologist position is a highly skilled professional with a Ph.D. in Pharmacoepidemiology, Epidemiology, Biostatistics, Causal Inference, or a related field. This person has experience with electronic health record and/or claims data and a strong understanding of observational study principles, including: missing data handling methods; temporal research questions (cross-sectional, longitudinal); causal contrast of interest (e.g., intent-to-treat, per-protocol); effect measure of interest (e.g., risk ratio, hazard ratio); and estimands (e.g., average treatment effect, average treatment effect in the treated) of interest. Your research experience includes one or more of the following: target trial emulation, sequential trial analysis, marginal structural models, longitudinal matching, G methods, or equivalent causal inference methods, realized in multiple primary-author publications. Fluency with coding languages and tools is expected (i.e., SQL, Python, and R). 

Responsibilities: 

  • Serve as SME for RWE causal inference studies. 
  • Design and execute studies with N3C EHR data considering the following: the extent of missing data; missing data handling methods; temporal component of research studies (i.e. cross-sectional, longitudinal); the causal contrast of interest (e.g., intent-to-treat, per-protocol); the effect measure of interest (e.g., risk ratio, hazard ratio); and estimand (e.g., average treatment effect, average treatment effect in the treated) of interest. 
  • Review and recommend strategies for selecting individuals in clinical cohorts. 
  • Ensure the highest data quality and minimization of bias. 
  • Use tools and languages such as Python, R, SQL, and Spark. 
  • Help establish and implement appropriate analytic value sets. 
  • Collaboratively produce extensive documentation (i.e. through training material, research protocols, open data sources such as repositories and/or methodological and research papers). 
  • Work closely with data science and software developer teams to articulate technical methods and implement decision tool strategies. 
  • Extract and transform clinical data from clinical trials and observational studies. 
  • Participate in project meetings and provide updates on progress, challenges, and mitigation strategies. 
  • Actively engage in key relevant meetings and keep abreast of emerging best practices and methods. 

 

Qualifications 

The ideal candidate: 

Must have: 

  • Ph.D. in Pharmacoepidemiology, Epidemiology, Biostatistics or related field. 
  • Experience with the following: target trial emulation, sequential trial analysis, marginal structural models, longitudinal matching, G methods, or equivalent causal inference methods realized in at least 2 primary-author peer-reviewed publications, or equivalent. 
  • Ability to independently conduct statistical analysis with analytic software tools (e.g., Python, R, SQL, MatchIt/WeightIt, Matplotlib, Lifelines, SKLearn, GT-summary, stats models, Survey). 
  • Fluent in coding languages and tools (e.g. Python, R, SQL, Spark). 
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team. 

Nice to have: 

  • Experience with meta-analyses and/or systematic reviews. 
  • Expertise in best practices for statistical approaches, data wrangling, and visualization. 
  • Knowledge of FAIR data principles. 
  • Clinical informatics experience. 

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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.

Data Science Solutions Architect

(ID: 2024-8453)

Axle Informatics 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 around the globe. 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 premier research organizations and facilities including multiple institutes at the National Institutes of Health (NIH) and other public and private organizations. 

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Educational Benefits for Career Growth
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Matching
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

We are seeking a highly motivated and experienced Solutions Architect to join our Data Science Solutions team. In this role, you will play a critical part in driving our business growth by identifying new opportunities, developing strategic partnerships, and securing funding for our cutting-edge research and development initiatives. The ideal candidate possesses a deep understanding of the data science, AI and public health landscapes, a proven track record in proposal and solutions development, and exceptional communication skills. If you are a results-oriented individual with a passion for advancing scientific discovery and improving public health, we encourage you to apply. 

Key Responsibilities:  

  • Develop a deep understanding of the business unit’s capabilities, including: 

  • Expertise in data science, bioinformatics, and public health. 

  • Cutting-edge tools and technologies for data analysis and modeling. 

  • Extensive network of partnerships with government and research institutions and healthcare organizations. 

  • Track record of securing funding for research and development projects. 

  • Diverse portfolio of ongoing projects and initiatives.     

  • Review and analyze previously funded and non-funded contracts to identify trends, areas of strength, and opportunities for improvement.     

  • Lead proposal writing and other solutions development activities, including: 

  • Developing compelling narratives that showcase the value proposition of our solutions.     

  • Identifying and pursuing relevant funding opportunities from government agencies, private foundations, and academic and industry partners. 

  • Building and maintaining relationships with key stakeholders in the data science and public health communities. 

  • Creating engaging content for various platforms, including Medium, LinkedIn, and other social media channels. 

  • Collaborate with internal subject matter experts to gather critical information, refine proposals, and ensure the technical accuracy of all business development materials.   

  • Proactively pursue funding opportunities and secure awards to support the growth and expansion of our data science and public health initiatives.     

  • Leverage LLMs (Large Language Models) to assist in various aspects of the business development process, including: 

  • Generating creative content for proposals, presentations, and social media posts. 

  • Conducting research and gathering insights on funding opportunities and potential partners. 

  • Analyzing large datasets to identify trends and inform strategic decision-making. 

  • Automating routine tasks to improve efficiency and productivity.     

Qualifications: 

  • Master’s degree or Ph.D. in Data Science, Public Health, Bioinformatics, or a related field or equivalent experience. 

  • 5+ years of experience in business development, proposal writing, and securing funding within the data science and public health sectors.     

  • Strong understanding of data science and AI, with specific expertise in one or more of the following areas: 

  • Real-World Evidence (RWE) 

  • Pharmacoepidemiology 

  • Drug development 

  • Health Economics and Outcomes Research (HEOR) 

  • Clinical Trial Design and Analysis 

  • Clinical and/or microscopy image analysis     

  • Demonstrated ability to leverage LLMs to enhance business development processes and outcomes.   

  • Publication record in peer-reviewed journals.   

  • Exceptional communication, interpersonal, and presentation skills.   

  • Strong analytical and problem-solving skills.   

  • Ability to work independently and as part of a collaborative team. 

 

 

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment-based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process, please contact careers@axleinfo.com

Disclaimer: The above is meant to illustrate the general nature of work and level of effort being performed by individual’s assigned to this position or job. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job or responsibilities as needed.

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
$185,000—$200,000 USD

Data Architect-Clinical Informaticist

(ID: 2024-6797)

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 National Institutes of Health (NIH).

Axle is seeking a Data Architect-Clinical Informaticist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.

 

Benefits We Offer:

  • 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)

 

We are seeking a Data Architect—Clinical Informatics to support projects in the National Center for Advancing Data Science and Analytics Collaboration (NacDacC) Clinical Enclaves. This individual will work closely with data scientists, stakeholders, and clinical sites to monitor, improve, and maintain data quality and phenotypes across clinical datasets, ensuring high-quality submissions. The successful candidate will also develop and maintain pipelines for ancillary data acquisition, support new enclave requests, and create disease-specific phenotypes for various NIH enclaves. 

Key Responsibilities:  

  • Manage and optimize data ingestion and ETL pipelines to support the integration of diverse healthcare datasets, including clinical, claims, and ancillary data from multiple sources, such as electronic medical records (EMRs) and disease registries. 

  • Design and develop advanced healthcare data solutions aligned with industry standards to support organizational objectives. 

  • Contribute to the modeling, normalization, and transformation of healthcare data. 

  • Collaborate with cross-functional teams to build robust data pipelines and solutions leveraging the Observational Medical Outcomes Partnership (OMOP) Common Data Model and other healthcare data standards. 

  • Ensure compliance with data standards and interoperability protocols (e.g., HL7 FHIR, HL7v2, and OMOP) to harmonize and link disparate data sources. 

  • Develop and maintain data quality scorecards and pipelines for clinical and ancillary datasets. 

  • Provide subject matter expertise in healthcare standards (e.g., SNOMED, LOINC, RxNorm) and interoperability frameworks to advance data acquisition and linkage strategies. 

  • Collaborate with internal teams to iterate on data quality improvements and implement scorecards to monitor ongoing performance.  

Qualifications: 

  • Master’s degree in Clinical Informatics, Health Informatics, Data Science, or a related field or equivalent experience. 

  • Proven experience in data quality management, clinical data pipelines, and phenotype development. 

  • Strong skills related to SQL, Python, R, and Jupyter Notebook; experience with cloud computing platforms and using version control systems (e.g., Git) and collaborative development tools. 

  • Demonstrated expertise in healthcare knowledge standards, controlled terminologies (e.g. SNOMED, LOINC, RxNorm, etc),standard data models (e.g. OMOP, HL7 FHIR, STDM, etc.) and healthcare interoperability standards; HL7 FHIR, HL7v2, X12, NCPDP, CCD-A, CCD, etc. 

  • Strong problem-solving skills and attention to detail. 

  • Ability to work collaboratively with multidisciplinary teams and stakeholders across various NIH Institutes. 

Nice to Have: 

  • Experience with patient registry (cancer, renal, etc…) data. 

  • Familiarity with NIH data and processes 

  • Knowledge of clinical practice and research. An understanding of operating procedures and workflows within a hospital or ambulatory setting. 

  • General knowledge of Artificial Intelligence (AI) components and techniques.

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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
$90,000—$120,000 USD

Lead Full-Stack Developer

(ID: 2024-8354)

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 National Institutes of Health (NIH).

Axle is seeking a Lead Full-Stack Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.

Benefits We Offer:

  • 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)

Basic Qualifications 

  • Bachelor’s degree in computer science, Data Science, Bioinformatics or other related field (years of work experience will be considered in lieu of degree) 

  • 3+ years’ experience as a full-stack developer 

  • 2+ years’ experience as a technical lead 

  • 3+ years’ experience working with Angular 2+ 

  • 3+ years’ experience working with Node.js 

  • Experience with the following is preferred: 

  • Java 8+ (SpringBoot) 

  • NoSQL and SQL databases 

  • Containers and container orchestration tools (Docker, Kubernetes) 

  • DevOps tools (Jenkins, GitHub Actions) 

  • Web components 

  • Familiarity with VCS such as Git 

  • Experience with unit and end-to-end testing frameworks 

 

Relevant Skills 

 

  • Critical thinking, problem-solving, and attention to detail 

  • Clear, concise communication 

  • Technical writing ability 

  • Familiarity working in an Agile environment 

  • Attention to detail when building applications from mockups 

Responsibilities 

  • Build scalable, reliable, and flexible web applications in TypeScript using NodeJS and Angular 13+ 

  • Design, implement, and/or use RESTful web services 

  • Implement modern and responsive UI for the web and a variety of devices from detailed mockups 

  • Participate in agile software development, prototyping, testing, and code reviews with a small team of developers 

  • Write robust unit and end-to-end tests 

  • Implement and adhere to Agile methodologies and ceremonies 

  • Develop and maintain long-term technical vision and goals 

  • Engage with stakeholders, clients, and end-users 

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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
$100,000—$130,000 USD

Software Engineers – Codemap services/FHIR-to-OMOP

(ID: 2024-6918)

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 National Institutes of Health (NIH).

Axle is seeking a highly ambitious, adaptable, structured, and detail-oriented Software Engineers – Codemap services/FHIR-to-OMOP to join our vibrant team at the National Institutes of Health (NIH), National center for Advancing Translational Sciences (NCATS).

Benefits We Offer:

  • 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)

We are seeking a talented Software Engineer to join our team to support projects at the NIH’s National Center for Advancing Translational Sciences (NCATS). The Software Engineer will lead the development of a Python library aimed at operationalizing semantic mappings between common data models (CDMs) such as FHIR US Core, OMOP, PCORNet, and Sentinel. This project will focus on generating ETL code targeting various platforms and systems, including SQL, Apache Spark, and Pandas DataFrames. The successful candidate will play a critical role in facilitating the integration of healthcare data across systems, ensuring interoperability, and enhancing data utility for research and clinical applications.

The ideal candidate for the Software Engineer role is a highly motivated professional with a deep understanding of healthcare data interoperability and extensive experience in developing scalable software solutions. They are proficient in Python and have a strong background in data engineering, particularly in building ETL pipelines and working with large, complex datasets. The ideal candidate is adept at navigating multiple data models, including FHIR, OMOP, and others, and has a proven ability to translate semantic mappings into executable code for diverse platforms such as SQL, PySpark, and Pandas. They thrive in collaborative environments, working closely with subject matter experts and cross-functional teams to ensure seamless data integration and transformation. This individual is detail-oriented, with a passion for creating robust, efficient, and secure software that enhances healthcare data interoperability, and they possess excellent communication skills to articulate technical concepts to both technical and non-technical stakeholders. Experience with cloud platforms and familiarity with healthcare data standards are highly desirable, as is a commitment to driving innovation in biomedical informatics and a solid understanding of healthcare data privacy and security regulations.

Responsibilities

  • Lead the design and development of a Python library that ingests machine-readable semantic mappings between FHIR US Core, OMOP, and other CDMs, producing ETL code targeting multiple systems and data platforms.

  • Generate executable ETL scripts for SQL, PySpark DataFrames, and Pandas DataFrames based on the semantic mappings.

  • Collaborate with subject matter experts (SMEs) to refine and validate mappings between different healthcare data models, including FHIR, OMOP, and other CDMs as required by the project.

  • Develop APIs to integrate the generated ETL code into external platforms and services, ensuring the automated conversion of datasets across various environments.

  • Work closely with ETL development teams to ensure that the mappings and transformations are accurately implemented and optimized for performance on target systems.

  • Maintain the codebase to ensure scalability, modularity, and ease of integration with different platforms and data sources.

  • Participate in project reviews, providing updates on progress, identifying challenges, and proposing solutions to ensure project milestones are met.

  • Ensure compliance with data privacy and security regulations, particularly in healthcare environments.

  • Contribute to knowledge dissemination, preparing technical documentation, participating in workshops, and presenting project outcomes to key stakeholders.

Qualifications

The ideal candidate will have:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.

  • Extensive experience in Python programming, particularly in developing libraries, APIs, and ETL pipelines.

  • Strong knowledge of data engineering principles, with experience in generating ETL code targeting SQL, PySpark, and Pandas frameworks.

  • Familiarity with healthcare data standards such as FHIR, OMOP, CDISC SDTM, and related interoperability frameworks (e.g., caDSR).

  • Demonstrated experience with data model transformations and mapping semantic representations between different CDMs.

  • Solid understanding of database systems (e.g., SQL, NoSQL) and large-scale data processing frameworks such as Apache Spark.

  • Experience in cloud environments (e.g., AWS, Google Cloud) is highly desirable.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.

  • Knowledge of healthcare data privacy and security regulations.

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

Salary Range
$115,000—$155,000 USD

Data Engineer – Tool Abstraction

(ID: 2024-6798)

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 National Institutes of Health (NIH).

Axle is seeking a Data Engineer – Tool Abstraction to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.

 

Benefits We Offer:

  • 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)

Axle Informatics is a bioinformatics and information technology company that offers innovative computer services, informatics, and enterprise solutions to research centers and healthcare organizations worldwide. Our mission is to empower decision-making and accelerate discovery in translational research. We are looking for a Data Engineer to support clinical and research data projects through pipeline development, data ingestion, harmonization, and containerization.

Key Responsibilities: 

  • Design, build, and maintain scalable and efficient data pipelines for clinical and research datasets.

  • Ensure the automation of data extraction, transformation, and loading (ETL) processes to support downstream analysis.

  • Collaborate with data science teams to ensure data is harmonized and consistent across different systems and workflows.

  • Ingest and harmonize large-scale clinical and research datasets from multiple sources.

  • Implement best practices for data standardization and cleaning to support various data users, including researchers, clinicians, and analysts.

  • Work closely with clinical data teams to ensure that datasets comply with research and healthcare standards.

  • Develop and optimize workflows using languages such as Snakemake, Nextflow, or a similar workflow language, to automate data processing.

  • Support continuous integration and delivery practices within data workflows.

  • Utilize Docker for containerization of workflows and data pipelines to ensure reproducibility and scalability.

  • Collaborate with multidisciplinary teams of data scientists, bioinformaticians, and software engineers to ensure data processes align with project goals.

  • Document pipeline processes and workflows to ensure transparency and reproducibility of data workflows.

Qualifications:

  • Master’s degree in Computer Science, Data Engineering, Bioinformatics, or related fields.

  • Proven experience building data pipelines and automating ETL processes.

  • Strong experience working with clinical data and familiarity with healthcare data standards and Common Data Models (e.g. CDISC, OMOP).

  • Hands-on experience with at least one workflow management system (e.g., Snakemake, Nextflow, or a similar tool).

  • Experience with Docker and containerization practices for deploying reproducible workflows.

  • Excellent scripting and programming skills in languages such as SQL, Python or Bash..

Nice to Have:

  • Experience with cloud-based services (e.g., AWS, GCP, or Azure) for data processing and pipeline scaling.

  • Familiarity with big data frameworks (e.g., Apache Spark or Hadoop).

  • Knowledge of version control systems, such as Git, for workflow management and collaboration.

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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

Pharmacoepidemiologist, Causal Inference

(ID: 2024-6802)

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 National Institutes of Health (NIH).

Axle is seeking a highly ambitious, adaptable, structured, and detail-oriented Pharmacoepidemiologist, Causal Inference to join our vibrant team at the National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID).

Benefits We Offer:

  • 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)

Axle Informatics is a bioinformatics and information technology company that offers innovative computer services, informatics, and enterprise solutions to research centers and healthcare organizations around the globe. With experts in software engineering, bioinformatics and program management, we focus on developing and applying technology tools and techniques to empower decision-making and accelerate the discovery in translational research. We work with the top research organizations and facilities in the country including multiple institutes at the National Institutes of health (NIH). 

We are seeking a talented Pharmacoepidemiologist to join our team to support projects at the NIH’s National Center for Advancing Translational Sciences (NCATS). In this role, you will collaborate with clinical and data scientists, methodologists, and software engineers to develop and execute exemplar causal inference studies. You will work as a subject matter expert to create a real-world evidence (RWE) methods decision tree; support master protocol development; and support development of gold-standard guides and methodologies for conducting best practices causal inference research. You will: design, execute, and analyze studies using the National Clinical Cohort Collaborative (N3C) data; review and recommend strategies for selecting study designs to answer causal inference questions; help establish, and implement appropriate analytic value sets. 

The ideal candidate for the Pharmacoepidemiologist position is a highly skilled professional with a Ph.D. in Pharmacoepidemiology, Epidemiology, Biostatistics, Causal Inference or related field. This person has experience with electronic health record and/or claims data and a strong understanding of observational study principles including: missing data handling methods; temporal research questions (cross-sectional, longitudinal); causal contrast of interest (e.g., intent-to-treat, per-protocol); effect measure of interest (e.g., risk ratio, hazard ratio); and estimands (e.g., average treatment effect, average treatment effect in the treated) of interest. Your research experience includes one or more of the following: target trial emulation, sequential trial analysis, marginal structural models, longitudinal matching, G methods, or equivalent causal inference methods, realized in multiple primary-author publications. Fluency with coding languages and tools is expected (i.e. SQL, Python, and R). 

Responsibilities: 

  • Serve as SME for RWE causal inference studies. 

  • Design and execute studies with N3C EHR data considering the following: extent of missing data; missing data handling methods; temporal component of research studies (i.e. cross-sectional, longitudinal); the causal contrast of interest (e.g., intent-to-treat, per-protocol); the effect measure of interest (e.g., risk ratio, hazard ratio); and estimand (e.g., average treatment effect, average treatment effect in the treated) of interest. 

  • Review and recommend strategies for selecting individuals in clinical cohorts. 

  • Ensure the highest data quality and minimization of bias. 

  • Use tools and languages such as Python, R, SQL, and Spark. 

  • Help establish and implement appropriate analytic value sets. 

  • Collaboratively produce extensive documentation (i.e. through training material, research protocols, open data sources such as repositories and/or methodological and research papers). 

  • Work closely with data science and software developer teams to articulate technical methods and implement decision tool strategies. 

  • Extract and transform clinical data from clinical trial and observational studies. 

  • Participate in project meetings, provide updates on progress, challenges, and mitigation strategies. 

  • Actively engage in key relevant meetings and keep abreast of emerging best practices and methods. 

Qualifications 

The ideal candidate: 

Must have: 

  • Ph.D. in Pharmacoepidemiology, Epidemiology, Biostatistics or related field. 

  • Experience with the following: target trial emulation, sequential trial analysis, marginal structural models, longitudinal matching, G methods, or equivalent causal inference methods realized in at least 2 primary-author peer-reviewed publications, or equivalent. 

  • Ability to independently conduct statistical analysis with analytic software tools (e.g. Python, R, SQL, MatchIt/WeightIt, Matplotlib, Lifelines, SKLearn, GT-summary, statsmodels, Survey). 

  • Fluent in coding languages and tools (e.g. Python, R, SQL, Spark). 

  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team. 

Nice to have: 

  • Experience with meta-analyses and/or systematic reviews. 

  • Expertise in best practices for statistical approaches, data wrangling and visualization. 

  • Knowledge of FAIR data principles. 

  • Clinical informatics experience. 

 

Benefits 

 

  • 100% Medical, Dental, and Vision Coverage for Employees 

  • Educational Benefits for Career Growth 

  • Paid Time Off (including Holidays) 

  • Employee Referral Bonus 

  • Profit Sharing 

  • 401k matching 

  • Flexible Spending Accounts: 

  • Healthcare (FSA) 

  • Parking Reimbursement Account (PRK) 

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

Salary Range
$90,000—$120,000 USD