Data Engineer Training Pipelines & Inference

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TLDR: Build the data backbone for the next era of AI-powered spatial biology.

Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project please describe your specific contributions. Briefly discuss the projects results limitations and challenges you encountered. Finally include a link to your GitHub profile personal website or similar and/ or any relevant projects at the bottom of your cover letter.

About the Role:

: 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 Foundational Microscopy Image Analysis (MIA) project sits at the heart of Our ambition is big: to create one of the worlds most comprehensive multimodal 3D/4D microscopy datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences.

Were seeking a skilled Data Engineer to drive scientific innovation through robust data infrastructure model training and inference systems. Youll design develop and optimize scalable data pipelines and build multi-node GPU training and inference pipelines for foundational models. Youll also develop tools for ingesting transforming and integrating large heterogeneous microscopy image datasetsincluding writing production-quality Python code to parse validate and transform microscopy data from published research papers public databases and internal repositories.

This role requires technical excellence in data engineering and the ability to understand biological research contexts to ensure data integrity and scientific validity. Your work will directly support computational research initiatives including machine learning and AI applications.

Youll collaborate closely with multidisciplinary teams of computational and experimental scientists to define and implement best practices in data engineering ensuring data quality accessibility and reproducibility. Youll maintain detailed documentation potentially mentor junior engineers and automate 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 humanitys 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.

• Opportunity to partner with frontier AI labs on scientific applications of AI (see youll do:

  • Design and implement scalable robust data model training and inference pipelines for foundational microscopy datasets & vision foundation models. Deploy such pipelines on multi-node GPU environments and make data & trained models publicly available.

  • Stay up to date with scientific literature to understand data context and processing requirements

  • Document data provenance and transformation steps comprehensively

  • 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 potentially 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.

  What you bring:

  • Bachelors degree in Computer Science Data Science Statistics Applied Mathematics or a related field with 3 years of experience applying and customizing data mining model training & inference methods and techniques. An equivalent combination of education and relevant experience will be considered.

  • Experience with data formats such as Zarr Parquet HDF5 and efficient IO (e.g. webdataset).

  • Experience with volumetric 3D/4D microscopy data analysis tools.

  • Experience with high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g. Kubernetes AWS SageMaker Google Vertex AI HF Inference).

  • Experience with distributed data processing Multi-node GPU processing and ML development frameworks such as PyTorch and/or JAX

  • Excellent technical documentation and communication skills

  • Experience in building scalable data solutions working with big data technologies and ensuring data quality and accessibility.

  • Expertise 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 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.

  Compensation Range

  Data Engineer I: $86181.60 (minimum) - $107727.00 (midpoint) - $140045.10 (maximum)

  Data Engineer II: $98039.20 (minimum) - $122549.00 (midpoint) - $159313.70 (maximum)

  Data Engineer III: $112629.60 (minimum) - $140787.00 (midpoint) - $183023.10 (maximum)

  Pay Type: Salary

  HHMIs 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.

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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.

  HHMI is an Equal Opportunity Employer

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