Research Software Engineer

Specific Duties & Responsibilities:

• The successful candidates will participate in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations.
• The projects may require the creation of AI/ML solutions using the latest deep learning libraries trained on state-of-the-art hardware.
• Projects may also involve analysis of massive data sets either in the cloud or on premises.
• They may require creation of novel data science techniques, software pipelines for processing of real-time high-frequency data processing workflows and may need the design of complex database models for storing and disseminating scientific data sets.
• Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement.
• They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, efficiency, reusability, robustness, portability, documentation, etc.).
• It is a high-level goal of DSAI to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Special Knowledge, Skills, & Abilities
• Expert-level knowledge of the Python programming language.
• Expert-level knowledge of multiple modern AI/ML, vision, NLP, bioinformatics and/or mathematical or computational libraries.
• Familiarity with or willingness to learn C++ or other languages may be needed.
• Familiarity with software containerization technologies such as Docker and Singularity.
• Familiarity with RESTful web service principles and development.
• Familiarity with SQL and relational database principles and development.
• Fluency in the Linux operating system and related tools.
• Familiarity with modern software engineering best practices, such as Git source control, peer code review, test-driven development, build automation and continuous integration / continuous delivery.
• Familiarity with cloud development and deployment.
• Demonstrated leadership and self-direction.
• Willingness to teach others both informally and in short course format.
• Willingness to continually learn new tools and techniques as needed.
• Excellent verbal and written communication.

Minimum Qualifications:

• Masters in a quantitative discipline, e.g. computer science, engineering, astrophysics, bioinformatics with strong scientific computing and/or mathematics background.
• Three (3) years or more experience working in software development and/or data science in large projects in industry.
• This position does not allow for education or experience substitutions.
• Concentration and three (3) years’ experience in development and application of AI/ML or data science as described below.
• For AI/ML concentration, experience designing, developing, training and applying state-of-the-art AI/ML models and/or generative AI to practical applications such as vision, NLP, bioinformatics, chemical discovery, medical diagnostics, robotics, anomaly detection, recommendation systems and time series analysis.
• For data science concentration, experience designing, developing and applying state-of-the-art data science techniques to the analysis of large data sets. Areas of relevant expertise include design and development of statistical and mathematical models of data, data transformation, ETL and information extraction, data modeling of complex scientific datasets, architectures for computing with large datasets, distributed computational pipelines and real-time data streaming architectures.

Preferred Qualifications:

• PhD in a quantitative discipline.
• Five (5) years’ experience as above in either AI/ML or data science concentration.
• Experience developing, training, fine-tuning and applying LLMs and/or foundational models.
• Experience deploying AI models onto clinical platforms.
• Experience with large scale scientific simulations or simulations of air/terrestrial/sea vehicles.
• Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data.
• Experience in CUDA GPU programming.
• Experience authoring open-source Python packages in PyPI.
• Experience in open-source project governance.
• Experience in open-source community adoption initiatives.

Breakdown of Qualifications:

• Engineers with strong academic backgrounds and relevant experience in industry focused on designing and building solutions requiring expertise in software engineering not commonly
• Expert-level knowledge of the Python programming language
• Expert-level knowledge of multiple modern AI/ML, vision, NLP, bioinformatics and/or mathematical or
• Familiarity with or willingness to learn C++ or other languages may be needed
• Familiarity with software containerization technologies such as Docker and Singularity
• Fluency in the Linux operating system and
• Familiarity with modern software engineering
• Familiarity with cloud development and
• Willingness to teach others both informally
• Excellent verbal and written
• Masters in a quantitative discipline, e.g computer science, engineering, astrophysics, bioinformatics with strong scientific computing and/or mathematics
• Three (3) years or more experience working in software development and/or data science in large projects in
• Concentration and three (3) years’ experience in development and application of AI/ML or data science
• For AI/ML concentration, experience vision, NLP, bioinformatics, chemical discovery, medical designing, developing and applying state-of-the-art data science
• Five (5) years’ experience as above in either AI/ML or data science concentration
• Experience developing, training, fine-tuning
• Experience with large scale scientific
• Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences,
• Experience in CUDA GPU
• Experience authoring open-source Python
• Experience in open-source project