National Center for Ecological Analysis and Synthesis's (NCEAS) Director of Research Software Engineering

Position description

The National Center for Ecological Analysis and Synthesis (NCEAS) is a world leader in environmental data science, and has helped to stimulate and promote open data science research worldwide since our inception in 1995.

Current and past data science research at NCEAS has built nationally-recognized systems including the DataONE federation of repositories, the NSF Arctic Data Center, the KNB Data Repository, the Ocean Health Index, and the Permafrost Discovery Gateway, among many others.

Research on systems for synthesis have focused, for example, on high throughput computing systems for machine learning on large-scale satellite imagery, building systems to support and promote open data preservation and sharing, and designing and improving FAIR data repository systems.

As the Director of Research Software Engineering, you will lead independent environmental data science

research at NCEAS to envision, design, develop, analyze and operate a national software infrastructure

for open data management, analysis, modeling, and visualization. Independent software engineering

research activities will focus on novel approaches to data science to enable open and reproducible

science and facilitate synthetic research. In collaboration with other NCEAS leaders, including the NCEAS

Director and the Director of Informatics, you will create a sustainable funding portfolio for environmental

data science at NCEAS, including grants, contracts, and income accounts. Some of the research involved

will include :

Conduct independent research at the frontiers of environmental data science and software

Conceptualize, design, and implement environmental data science systems to enable new

capabilities in scientific synthesis at NCEAS and globally

Create a funding program for these data science and infrastructure systems via successful

extramural grants, contracts, and fee-based income programs

Recruit, train, and oversee a team of research software engineers and data scientists to conduct

the research and development for these projects and systems

Promote the widespread use and uptake of open data and open science in support of the NCEAS

mission

Publish research software, data, and papers from your data science research

In addition to data science research, technical design and development, you will communicate to the

international science community to promote research outputs and the software and systems based on

those outputs through writing, speaking, and training at, for example, scientific conferences and open

science events. Finally, we expect your research program will include collaboration on specific grant-funded research, including collaboration with researchers and engineers spanning a diverse set of

partner institutions.

General Summary of Duties and Responsibilities

NCEAS is committed to improving diversity and inclusion in science. We value the diversity of expertise, backgrounds, needs, and experiences reflected among our residents, visitors, and broader communities.

We are committed to providing a safe, productive, and welcoming environment for everyone, regardless of race, ethnicity, religion, age, gender identity, parental status, sexual orientation, (dis)ability, citizenship status, and nationality.

To see the steps we are taking to advance diversity and inclusion please see our full statement here : .

Qualifications

Basic qualifications (required at time of application)

A PhD degree is required

preferably in computer science, engineering or an ecology / earth / environmental science field, but any study major is acceptable with the right combination of experience.

Preferred qualifications

You should be an accomplished data science leader with demonstrated ability to :

Lead the development of data science research initiatives

Envision, design, and implement complex technical systems for data management, computing, and visualization using open science principles

Secure funding through proposals and other pathways

Manage teams of data science professionals

Orchestrate complex, interdependent project deliverables

You should be accomplished in research software engineering and data science including :

Hardware and software systems design and integration

Cloud computing and high performance computing on large, often geospatial, datasets

Multiple programming languages for cloud and web applications

Developing and maintaining software throughout the software development life cycle

We are looking for someone with thoughtful communication and teamwork skills.

You will work collaboratively in a team of software engineers and data scientists to develop working relationships with scientists.

You will also be involved in writing proposals, articles, and other products in a manner that is compelling to earth and environmental scientists.

While we do not generally expect all skills for any one person, we will also be looking for some combination of these additional desirable skills :

Experience developing for cloud computing, using tools such as Docker and Kubernetes

Experience with geospatial analysis or web mapping tools

Experience building data visualizations for the web with technologies such as Cesium, SVG, and D3.

Experience or familiarity with data analysis and / or modeling for Earth, Life, or Social sciences

Background in statistical analysis and modeling, machine learning, and manipulating geospatial data (, in R, Python).

Experience with knowledge modeling, such as provenance tracking and the semantic web

Application Requirements

Document requirements

Curriculum Vitae - Your most recently updated

Cover Letter - We suggest that your cover letter includes :

Interest in the position

Qualifications related to the position

Experience supporting diversity, equity, and inclusion

Link to Example Code or Repository

Reference requirements

3 required (contact information only)

Name and contact information for three references. The top candidate's references will be contacted before the final job offer.