Data Science Archives

Full Stack Developer

(ID: 2024-6422)

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 Full Stack Developer 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 data science, computational engineering, 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, modeling, tools and techniques to empower decision-making and accelerate discovery in translational research. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH) and the Food and Drug Administration (FDA).

Axle is seeking a highly ambitious, adaptable, structured, and detail-oriented Full Stack Developer to join our vibrant team. You will be working with a multidisciplinary team of developers, data scientists, and engineers to design and build web applications to support image processing pipelines, including data visualization, manual annotation, and integration with machine learning models. Our pipeline utilizes modern containerization and container orchestration tools in a cloud-based environment. Your applications will focus on enabling researchers and data scientists to ingest, organize, and navigate arbitrary data in an automated and scalable manner.

Responsibilities

Build scalable, reliable, and flexible web applications in TypeScript using NodeJS and Angular 13+
Design, implement, and/or use RESTful web services
Work with specialized open source applications (i.e., WEBKNOSSOS, Viv, Neuroglancer) and tooling (i.e., WebGL)
Implement modern and responsive UI for the web and 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

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)
2+ years experience as a full-stack developer
3+ years experience working with Angular 2+
3+ years experience working with Node.js
Experience with the following is preferred:
- Scala and Python
- 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
- 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

Benefits

100% Medical, Dental & Vision premium coverage for Employees
Paid Time Off (Including Holidays)
Employee Referral Bonus
401K Match
Tuition reimbursement and professional development opportunities
Flexible Spending Accounts:
Healthcare (FSA)
Parking Reimbursement Account (PRK)
Dependent Care Assistant Program (DCAP)
Transportation Reimbursement Account (TRN)

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

Senior Software Engineer

(ID: 2024-5760)

Axle is seeking a Senior Software Engineer 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 looking for a skilled and motivated senior software engineer with expertise in algorithm development, distributed systems, software design, and scientific workflow automation. You will be involved with developing scientific workflow software supporting our open-source molecular modeling, image analysis, and scientific data platform. The software will facilitate high throughput screening, drug discovery, and other molecular modeling efforts across the NIH.

You will work with synthetic chemists, assay biologists, and other domain experts to translate their needs into requirements for the platform. You will participate in software design and documentation; stay current with technical literature; and stay informed about new approaches and technologies. You will also be involved in performing detailed code review and mentoring junior developers.

You should have experience in developing Python and JavaScript applications using best practices such as type annotations, unit testing, etc. Experience with Typescript and REST APIs is required. Ideally you will have some experience dealing with distributed systems and issues such as synchronization & atomicity, network timeouts & polling loops, schedulers, retry mechanisms, message brokers, etc.

Responsibilities:

Co-lead the development and maintenance of a Common Workflow Language (CWL) based Domain-Specific Language compiler

Co-lead the design and creation of tools and interfaces which enable the automation and execution of large-scale drug discovery workflows on our integrated computational platform

Implement backend code generation targeting different compute environments (HPC cluster, AWS cluster)

Develop driver libraries that interact with various job schedulers (Slurm, Argo, Airflow, etc…)

Collaborate with biologists, computational chemists, clinicians, and core facility members to understand their experimental and technical goals and translate those goals into software design specifications

Write clear, generalizable, organized code that is unit tested with proper documentation.

Stay up to date with latest development in CWL standard and ecosystem

Act as an expert technical resource for software development staff in all phases of the development and implementation process

Qualifications:

All candidates should have:

Strong experience with Python and Javascript ecosystem and data models

Familiarity with at least one of the following workflow platforms: CWL, WDL, Nextflow, SnakeMake, Galaxy, Seven Bridges (now Velsera), etc…

Solid understanding of compiler design principles, including lexical analysis, parsing, semantic analysis, and code generation

Strong knowledge of algorithms, data structures, and their application in compiler development

Ability to tackle complex problems, debug issues effectively, and implement efficient solutions

Experience with version control and continuous integration/continuous deployment (CI/CD)

Excellent oral and written communication skills in English, and record keeping skills

Curiosity and the ability to learn new things. We understand everyone can’t know everything, but you should be curious and able to apply new ideas when presented to you.

The ideal candidate will have:

A bachelor’s degree or higher in computer science, computer engineering, bioengineering, statistics, chemical engineering, life sciences, or related STEM fields

Previous experience in designing and implementing domain-specific languages

Experience of developing complex workflows using CWL

Minimum two years practical experience or relevant education experience (e.g. MS, PhD, Post-Doc can serve in lieu of professional experience)

Good understanding of various distributed computing paradigms

Experience of using job schedulers (Slurm, Argo, etc…)

Familiarity with cloud computing services (AWS EC2, GCP, or Azure)

Experience creating Docker images, including best practices

Experience with package managers (conda/mamba, pip, apt, etc…)

Experience with CI/CD scripts (Github Actions, etc) is preferred

Experience with software development best practices

Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)

Experience with large data sets

Experience implementing systems and supporting non-technical scientific staff

A strong work ethic, and the ability to design projects within diverse research areas and datasets

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.

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

Instructional Designer and Developer

(ID: 2024-5759)

Axle is seeking a Instructional Designer and 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)

The Instructional Designer & Developer will support the Education Team in designing high-quality, effective, professional-level, and visually-engaging educational assets. The successful applicant will work with the Education Team, internal Axle collaborators, and external subject matter experts to develop and implement curricula that align with the latest technology and best practices for delivery of courseware. This role offers a unique opportunity to make a significant impact on the education and training of professionals in the biomedical community while contributing to our mission of advancing health and health care for each, and for all, individuals and families.

The position will be based at Axle in Bethesda, Maryland, but functionally remote from US locations, with occasional travel. Working hours are Monday – Friday, 9:00 AM – 5:30 PM Eastern Time, with occasional evening or weekend activities.

Responsibilities

Create instructional materials, including e-learning modules, instructor-led training materials, multimedia content, and assessments that support learning objectives and program needs.
Create engaging media, technology and graphical designs to enhance the learning experience, including interactive pre-assessments, videos, infographics, and typography.
Work with the Director and the Training Solutions Architect to create comprehensive curricula, ensuring a logical and progressive flow of content, “big picture” planning, and evidence-based, modern pedagogical methods and technologies.
Collaborate and communicate with project managers to define project timelines, milestones, and deliverables.
Maintain high standards of professionalism, communication, collaboration, and responsiveness in a remote/hybrid work environment.
Collaborate and communicate with a variety of subject matter experts, including instructional designers, training program leads, programmers, clinicians, data scientists, and pharmacoepidemiologists to create and test engaging and effective learning experiences.
Develop and maintain visual and instructional design standards for learning solutions integrated throughout the learning management systems (LMS) and content management systems (CMS).
Write effective and engaging copy, including instructional text, audio scripts, video scripts, and social media communications.
Develop assessment strategies and evaluation methods to measure the effectiveness of learning programs. Engage with various stakeholders to gather input and feedback to enhance the quality and relevance of learning programs. Use data and feedback to make continuous improvements and re-imagine integrative solutions.
Provide guidance and mentorship to trainers, instructors, new team members, and internal and external stakeholders, helping them develop their skills in content development, learning development, and multimedia education.
Stay up-to-date on emerging technologies and best practices in instructional design and adult learning theory, applying them to improve the effectiveness of learning solutions.
Create detailed technical documentation, including architecture diagrams, design specifications, FAQs, guides, and deployment procedures to facilitate effective communication and knowledge transfer.
Support multiple high-priority learning initiatives based on changing needs, remaining flexible and self-managing time and tasks.

Skills and Qualifications

Required

Expertise and experience in instructional design and development, including designing inclusive, accessible, and equitable learning materials and programs.
Experience designing and developing e-learning and in-person materials and programs.
Strong professional skills, including active listening, teamwork, creativity, problem solving, flexibility, proactivity, emotional intelligence, attention to detail, and customer service.
Strong collaboration, presentation, and communication skills for working effectively with multidisciplinary, diverse, interprofessional, and cross-functional teams, including the ability to convey learning and instructional design terminology and concepts to non-experts.
Ability to write effective and engaging copy, instructional text, audio scripts, video scripts, guides, technical documentation, and social media communications.
Proficient using multimedia production tools, including creating and editing videos, infographics, images, and typography.
Proficient using common instructional design, graphic design, and learning management software (e.g., Articulate 360, Canvas, Adobe – Creative Suite & Dreamweaver, Camtasia), as well as standard office and remote work software (e.g., Google Workspace, Microsoft Office/365, Adobe Suite, Zoom, Slack, LinkedIn).
Proficient in curriculum development processes and best practices.
Ability to independently and effectively manage project tasks and milestones, as well as remote work and communication.
Commitment to building and maintaining diverse and service-oriented teams, processes, and communication.
Bachelor’s degree in Instructional Design/Development, Graphic Design, Education, Health Communication or a related field with >1 year experience

Preferred

Graduate/advanced degree in Instructional Design/Development, Graphic Design, Education, Health Communication, or a related field, or equivalent experience.
Training and experience in graphic design and videography
Experience designing and developing introductory, intermediate, and advanced training materials for diverse, interprofessional, early-, mid-, and late-career audiences.
Exceptional communication and presentation skills.
Exceptional interprofessional team collaboration, and commitment to supporting an inclusive, equitable, positive work culture.
Exceptional program, project, task, and time planning, management, and delivery.
Advanced experience with the Articulate 360 platform, and with professional learning management systems such as Docebo, Canvas, etc.
Knowledge of, or experience designing trainings focusing on:
- Translational science, real-world data/evidence, artificial intelligence, or machine/deep learning;
- Data science or data management;
- Pharmacoepidemiology, biostatistics, or programming;
- Translational, observational, or health research;
- Health care, terminology, and communication;
- Health and data science ethics and equity, including diversity and inclusion; or
- Interprofessional teams and professional skills.
Experience working with the:
- National Institutes of Health (NIH) or National Center for Advancing Translational Science (NCATS);
- National COVID/Clinical Cohort Collaboration (N3C) Data Enclave; or
- AIM-AHEAD program or AIM-AHEAD Connect platform.

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

Associate Director RWE, Pharmacoepidemiology

(ID: 2024-5438)

Axle is seeking an Associate Director RWE, 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 looking for an Associate Director of Real-World Evidence, Pharmacoepidemiology to support projects at the NIH and to lead and inspire our RWE team. The successful applicant will be involved in designing, leading, and conducting RWE studies investigating drug safety and effectiveness and other observational studies in support of the National Clinical Cohort Collaborative (N3C), the All of Us Research Program, and other public health initiatives. The successful candidate will demonstrate exceptional leadership, team management, and strategic vision to drive the team’s success.

The ideal candidate is a seasoned leader with a strong background in pharmacoepidemiology and real-world evidence generation. This individual excels in managing and inspiring diverse teams, fostering a collaborative and high-performance culture, and aligning team goals with organizational objectives. They possess deep expertise in designing and interpreting real-world evidence studies using advanced statistical methods and various data sources, coupled with a thorough understanding of regulatory guidelines. They will have experience in the application of causal inference methods (IPTW, PSM, G-methods, etc…) and observation study designs (target trial emulation, self-controlled case series, test-negative design, etc…). The ideal candidate is a strategic thinker and problem solver, adept at leveraging innovative approaches and new data technologies. They can oversee RWE projects start to finish and several first author or corresponding author publications in the field. They have excellent communication skills, enabling effective collaboration with cross-functional teams and key external stakeholders. The candidate will have a deep understanding of the limitations of real-world data and various forms of bias and confounding that arise in observation studies (immortal time bias, confounding due to indication, etc…). They will work with clinicians, biostatisticians, and other stakeholders to identify research questions of significant public health importance. They will stay current with scientific and technical literature; stay informed about new approaches and methodologies, including participation in conferences, and/or workshops, publishing scientific papers, and independently locate and utilize scientific resources.

Responsibilities

Lead and manage a team of epidemiologists, data scientists, and analysts in the design, execution, and interpretation of real-world evidence studies, including retrospective and prospective observational studies and registries.
Develop and implement a strategic vision for the RWE team, ensuring alignment with organizational goals and business objectives.
Serve as an RWE subject matter expert (SME) to NCATS leadership.
Help develop standards for the operationalization and fit-for-purpose use of AI/ML methods applied to Real-World Data (RWD).
Produce exemplary material, including tools geared toward under-served communities and new learners, covering topics relevant to use of RWD including but not limited to treatment of missing data, case control selection, minimization of type I/II error and bias, prevention of model overfitting and poor generalization and approaches to Electronic Health Record (EHR) data limitations.
Manage, schedule, and oversee outreach initiatives to underserved communities and extramural sites with limited bioinformatics capacities.
Support investigations from the Office of the Director and N3C leadership requiring biostatistical and/or machine learning knowledge and domain expertise. Outputs of these may result in publications.
Produce criteria to evaluate the incremental benefit of PPRL-linked datasets (i.e., improvements in the quality and/or scope of analyses of N3C data, reduction in data missingness, etc.).
Participate in N3C Enclave Knowledge Store object and code template peer review, integration and unit testing, and validation.

Qualifications

The ideal candidate will have:

Doctoral degree (PhD, DrPH, ScD) in Epidemiology, Pharmacoepidemiology, Public Health, or a related field. A Master’s degree with significant relevant experience will also be considered.
At least 8 years of experience in pharmacoepidemiology, real-world evidence generation, or related fields within the pharmaceutical or biotech industry.
Proven track record of working with real world clinical data via first or corresponding author publications.
Deep understanding of the fundamentals of biostatistics (survival methods, bias, confounding, etc…)
Demonstrable experience in causal inference methods.
Fluent in Python, R, and SQL.
Familiarity with machine learning and artificial intelligence techniques applied to RWD.
Demonstrated leadership and team management skills, with experience leading and mentoring high-performing teams.
Strong oral and written communication skills and ability to actively participate in technical discussions and follow up on action items.
Sound judgment, positive attitude, and creative outlook required.

#LI-TM1

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.

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

Data Engineering – Data Quality

(ID: 2023-4522)

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 Engineering – Data Quality 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 looking for a skilled and motivated Data Quality expert to lead the development of Real World Data (RWD) assets to support projects at the NIH. The position will be based at Axle in Bethesda, Maryland, but functionally remote from US locations, with occasional travel annually.

As a Data Scientist with concentration in Data Quality for the All of Us Research Program, you will be responsible for designing, developing, and implementing systems to ensure the accuracy, completeness, reliability and study-readiness of the Center for Linkage and Acquisition of Data (CLAD) platform. You will collaborate with cross-functional teams, including software developers, data engineers, data scientists, epidemiologists, and project managers to ensure the successful delivery of a scalable, secure, and efficient research platform. Your role is key in providing up-front measures of database contents, missingness, variable quality and several other dimensions. Creativity in your approach to digesting massive amounts of information and how you communicate those findings back to the CLAD community will be essential.

Responsibilities:

Produce criteria to evaluate improvements in the quality and scope of analyses of PPRL-linked Real World Data.
Design, implement, and maintain systems for checking and reporting on the quality of complex research databases, including assessment of missingness, validation of content and readiness for the application of statistical methods.
Perform end to end QA processes for research databases.
Maintain database dictionaries, schemas, diagrams and documentation.
Work with internal and external collaborators to examine, transfer, and index data towards development of automated data processing pipelines.
Understand the business issues and data challenges of enterprise Real World databases used for observational research.
Participate in all aspects of business analysis, testing, including functional, regression, integration, load and system testing.
Review and edit requirements, specifications, business processes and recommendations related to proposed solutions.
Take the initiative to suggest new standards, implement new strategies, and take on special projects.
Investigate and resolve operational problems in conjunction with other engineering and technical personnel.
Provide technical support and advice to Leads, PIs, technical staff and other engineering groups.
Keep aware of developments and trends in best practices for data quality analysis.

Qualifications:

MS in computer science, (bio)statistics, informatics or similar quantitative degree preferred.
Minimum Bachelor’s degree in statistics, mathematics, computer science, information management, or similar.
At least 5 years of experience in data analysis.
Proficiency in programming and scripting languages, including Python, R and SQL.
Working knowledge of statistical methods and tests.
Familiar with large claims and EHR databases
Knowledge of PPRL databases
Proven track record of working with real world clinical data.
Familiarity with medical coding systems (ICD, CPT, HCPCS, NDC, LOINC, SNOMED, etc.)
Exceptional analytical skills.
Advanced problem-solving skills.
Knowledge of best practices in data analysis.
Excellent interpersonal and communication skills.

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