Data Engineer I

Howard Hughes Medical Institute (HHMI); Ashburn (VA); On-site; USD 86,000 - 141,000; Full time

Job summary

An innovative research center in Virginia is seeking a skilled Data Engineer to enhance scientific discovery through robust data infrastructure. This role offers the opportunity to design and develop scalable data pipelines, ensuring the seamless integration of large datasets for machine learning and AI applications. Collaborating with multidisciplinary teams, you will implement best practices in data engineering, contributing to groundbreaking research. Join a dynamic community committed to advancing scientific understanding and enjoy a supportive environment that values collaboration and knowledge sharing.

Benefits

Comprehensive health benefits

On-site childcare

Free gym access

Available on-campus housing

Social and dining spaces

Shuttle bus service to D.C.

Qualifications

• 0 to 2 years of relevant experience in data engineering.
• Proficiency in programming languages for data management.
• Detail-oriented with strong communication skills.

Responsibilities

• Design and optimize scalable data pipelines for large datasets.
• Collaborate with scientists to ensure data quality and accessibility.
• Document workflows and automate processes for efficiency.

Skills

Python

R

Data Analysis

Data Visualization

Linux Command Line

Statistical Methods

Machine Learning

Communication Skills

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in Statistics

Bachelor’s degree in Applied Mathematics

Tools

AWS

Google Cloud

Numpy

Pandas

Matplotlib

Jupyter Notebooks

Job description

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147

Current HHMI Employees, click here to apply via your Workday account.

The Howard Hughes Medical Institute’s Janelia Research Campus is a pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in the life sciences. Our integrated teams of biologists, computational scientists, and tool-builders innovate research practices and technologies to solve biology’s deepest mysteries. HHMI launched Janelia in 2006, establishing an intellectually enriching environment for scientists to do creative, collaborative, hands-on work. We share our methods, results, and tools with the scientific community.

Summary:

AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus. Janelia has been at the forefront of AI-driven research in biology for more than 15 years. Its forward-thinking structure, centralized funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative, visit here .

About the role:

We're seeking a skilled Data Engineer to drive scientific innovation through robust data infrastructure. In this role, you’ll design, develop, and optimize scalable data pipelines and tools for the ingestion, transformation, and integration of large, heterogeneous datasets. Your work will directly support computational research initiatives, including machine learning and AI applications. Collaborating closely with multidisciplinary teams of computational and experimental scientists, you’ll help define and implement best practices in data engineering, ensuring data quality, accessibility, and reproducibility. You’ll also be responsible for maintaining detailed documentation and automating workflows to streamline the path from raw data to scientific insight.

What we provide:

• A competitive compensation package, with comprehensive health and welfare benefits.

• A supportive team environment that promotes collaboration and knowledge sharing.

• The opportunity to engage with world-class researchers, software engineers and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing humanity’s understanding of fundamental scientific questions.

• Amenities that enhance work-life balance such as on-site childcare, free gyms, available on-campus housing, social and dining spaces, and convenient shuttle bus service to Janelia from the Washington D.C. metro area.

What you’ll do:

• Design and customize data pipelines, leveraging appropriate tools, methods, and storage formats to process large structured and unstructured datasets for analysis and AI model training.

• Source, consolidate, and curate data to support a range of computational research needs, ensuring reproducibility through careful documentation of code, data, and workflows.

• Apply statistical and programming tools (e.g., Python, R) to analyze datasets, extract insights, and communicate findings through clear visualizations.

• Establish and maintain standards for data formats, storage, and processing workflows, while continuously learning new tools and collaborating closely with interdisciplinary teams.

What you bring:

• A Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics or related fields and 0 to 2 years of relevant experience. An equivalent combination of education and relevant experience will be considered.

• Proficiency in the use of the Linux command line, programming languages and frameworks and formats for data management (e.g., Python, R, Numpy, Pandas, HDF5).

• Familiarity with high-performance computing environments and cloud storage (e.g., AWS, GoogleCloud).

• Proficiency in the application of data mining and data analysis methods and techniques.

• Proficiency in utilizing data visualization libraries and software (e.g., Matplotlib, R, Jupyter notebooks).

• Detail-oriented, creative, and organized team player with strong communication skills and a collaborative mindset.

• Able to effectively manage time, prioritize tasks, and clearly convey complex data concepts to technical and non-technical audiences.

Physical Requirements:

Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).

Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.

Please Note:

This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act.

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Compensation and Benefits

Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.

Compensation Range

$86,181.60 (minimum) - $107,727.00 (midpoint) - $140,045.10 (maximum)

Pay Type:

Annual

HHMI’s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range.

HHMI is an Equal Opportunity Employer

Howard Hughes Medical Institute (HHMI) is an independent, ever-evolving philanthropy that supports basic biomedical scientists and educators with the potential for transformative impact. We make long-term investments in people, not just projects, because we believe in the power of individuals to make breakthroughs over time.

Why HHMI

To move science forward we need a diverse collection of talents, expertise, and backgrounds in scientific research and science education, as well as communications, finance, human resources, information technology, investments, law, and operations.

At HHMI, we encourage collaborative and results-driven working styles and offer an adaptable environment where employees can do their best work.

What makes us strong is the diversity of our perspectives. We work to promote a culture of inclusion in our work environments and across the greater scientific community. To find more information about us and the steps we're taking to make HHMI a more inclusive organization, visit our About Us page.

A Note for Job Seekers

Your best option for consideration in our career opportunities is to apply directly via our HHMI Careers site . There, you will learn more about HHMI and can find information about our available roles.

Contact us at recruitingsupport @hhmi.org if you require an accommodation related to completing the job application. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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