Data Engineer III
Data Engineer III
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Job Description
Current HHMI Employees click here to apply via your Workday account.
The Howard Hughes Medical Institutes 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 toolbuilders innovate research practices and technologies to solve biologys deepest mysteries. HHMI launched Janelia in 2006 establishing an intellectually enriching environment for scientists to do creative collaborative handson work. We share our methods results and tools with the scientific community.
Summary:
: HHMI is investing $500 million over the next 10 years to support AIdriven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMIs Janelia Research Campus. Janelia has been at the forefront of AIdriven research in biology for more than 15 years. Its forwardthinking 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:
Were seeking a skilled Data Engineer to drive scientific innovation through robust data infrastructure. In this role youll 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 youll help define and implement best practices in data engineering ensuring data quality accessibility and reproducibility. Youll also be responsible for maintaining detailed documentation mentoring junior engineers and automating workflows to streamline the path from raw data to scientific insight. In addition you may direct or assist in directing the work of others to meet evolving project needs and contribute to the success of collaborative research efforts.
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 worldclass researchers software engineers and AI/ML experts contribute to impactful science and be part of a dynamic community committed to advancing humanitys understanding of fundamental scientific questions.
Amenities that enhance worklife balance such as onsite childcare free gyms available oncampus housing social and dining spaces and convenient shuttle bus service to Janelia from the Washington D.C. metro area.
What youll 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 with interdisciplinary teams mentor junior engineers and direct or assist in directing the work of others to meet project goals while advising stakeholders on data strategies and best practices.
Actively contribute to advancements in the field by exploring emerging tools technologies and methodologies to enhance data infrastructure and research capabilities.
What you bring:
Bachelors degree in Computer Science Data Science Statistics Applied Mathematics or a related field with 5 to 8 years of experience applying and customizing data mining and data analysis methods and techniques. An equivalent combination of education and relevant experience will be considered.
Experience in building scalable data solutions working with big data technologies and ensuring data quality and accessibility.
Thorough understanding of highperformance computing environments and cloud storage (e.g. AWS GoogleCloud).
Familiarity with big data technologies (e.g. Hadoop Spark).
Proficient with machine learning frameworks (e.g. PyTorch JAX) and statistical modeling techniques.
Expertise in utilizing data visualization libraries and software (e.g. Matplotlib R Jupyter notebooks).
Demonstrated expertise in statistical analysis.
Widely recognized for deep expertise and advanced technical skills; frequently sought out by colleagues within and beyond the organization as a goto resource for solving complex data challenges.
Detailoriented 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 nontechnical audiences.
Ability to coach and direct others in developing and implementing innovative processes while evaluating skill levels to identify growth opportunities that align with current and future operational goals.
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 jobs 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
$112629.60 (minimum) $140787.00 (midpoint) $183023.10 (maximum)Pay Type:
AnnualHHMIs salary structure is developed based on relevant job market data. HHMI considers a candidates 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.
Employment Type
Full-Time
