Carnegie Science
Research Software Engineer
Job Description
Description
Earth and Planets Laboratory (EPL), Carnegie Institution for Science, is seeking a Research software engineer with interest at the intersection of Data science, Informatics, Earth and Planetary Science. As part of our commitment to building a diverse and inclusive community, we encourage applicants from underrepresented groups and backgrounds and applicants with non-traditional career paths.
The software engineer will participate in projects to develop data-driven approaches to answer fundamental questions about Earth and planetary systems, the origins of life, and the evolution of the geosphere and biosphere. We seek applicants with experience in data science, data analytics, data visualization, and information modeling and an interest in applying their data science skills to planetary science data. Successful candidates will be supervised by Dr. Anirudh Prabhu and will work with members of the Carnegie Data Science Team including Dr. Michael Wong and Dr. Robert Hazen.
This full-time, 2-year position will commence on or after June 1, 2025 and will be based at the Broad Branch Road campus of the Carnegie Institution for Science in Washington, DC.
Qualifications
Minimum qualifications: The applicant must have an undergraduate degree in computer science, data science, geoinformatics, geoscience, or planetary science and must be proficient in coding languages like R, Julia or Python. Experience with data management would be beneficial; the interest and ability to work knowledgeably with geologists, planetary scientists, informaticians, and data curators, are essential. Familiarity with software development best practices, including version control (e.g., Git) is ideal.
Application Instructions
Interested applicants should submit a CV, contact information for three references, a cover letter, and a 1 to 2-page research proposal. Applications will be reviewed until the position is filled.
Equal Employment Opportunity Statement
Carnegie Institution for Science has a long-standing commitment to equal employment opportunity for all employees and applicants for employment. All applicants will receive consideration of employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status or any other characteristic protected by applicable federal, state, or local laws.
