Jr. Data Science Engineer

Axle•Rockville, MD

About The Position

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 hiring a Junior Data Science Engineer to support projects across the federal space, including the National Center for Advancing Translational Sciences (NCATS) within the National Institutes of Health (NIH). You will work alongside a collaborative team of developers, data scientists, and subject matter experts to build and enhance data-driven applications, APIs, and analytics tools that support scientific research and data exploration. This role provides hands-on experience with modern web technologies, data pipelines, and cloud-based environments, contributing to systems that enable interactive data analysis and visualization. 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: [email protected] 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.

Requirements

Bachelor’s Degree (or currently pursuing) in Computer Science, Data Science, Bioinformatics, Statistics, Engineering, or related field
Experience or coursework in JavaScript/TypeScript and/or Python
Exposure to full-stack development concepts (frontend and backend)
Familiarity with Node.js and Angular or similar frameworks
Understanding of RESTful APIs and web services
Exposure to version control systems (Git)
Familiarity with Agile/SCRUM development methodologies
Strong problem-solving skills and attention to detail
Ability to communicate clearly and effectively (written and verbal)
Ability to work both independently and in a team environment
Adaptability in a fast-paced environment with changing priorities
Interest in data science, analytics, or machine learning concepts
Basic understanding of testing frameworks and debugging practices

Nice To Haves

Familiarity with data visualization or dashboarding tools is a plus

Responsibilities

Assist in building and maintaining data-driven applications using JavaScript/TypeScript and/or Python
Support development of web applications using Node.js and Angular
Contribute to the design and implementation of RESTful APIs
Participate in testing, debugging, and enhancing existing codebases
Help implement new features and performance improvements
Collaborate in Agile development cycles, including sprint planning, stand-ups, and code reviews
Support development of data pipelines, dashboards, and visualization tools
Gain hands-on experience working in NIH environments across multiple sites