Data Engineer II

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, mentoring junior engineers, 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 implement scalable data solutions, including mining, transformation, storage optimization, and orchestration of structured and unstructured datasets to support AI and computational research.

• Apply statistical tools and programming languages (e.g., Python, R) to analyze large datasets, develop custom functions, and extract actionable insights through effective visualization.

• Establish and maintain data standards, formats, workflows, and documentation to ensure data quality, accessibility, and reproducibility across projects.

• Collaborate closely with interdisciplinary teams, mentor junior engineers, and advise stakeholders on data strategies, source identification, and best practices.

• Continuously explore emerging tools and technologies to enhance data infrastructure and analytical capabilities in support of evolving research needs.

What you bring:

• A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics or related fields with 3 to 5 years of relevant experience. An equivalent combination of education and relevant experience will be considered.

• Advanced 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).

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

• Advanced proficiency in utilizing data visualization software (e.g., Matplotlib,R, Jupyter notebooks Plotly, Domo, Looker, Tableau).

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

• Familiarity with machine learning frameworks (e.g., PyTorch, JAX) and statistical analysis techniques.

• Recognized by peers as a go-to resource for specialized knowledge and expertise within your organization.

• 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.

#LI-BG1

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

Pay Type:

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