Research Software Engineer

Title: Research Software Engineer

Job Category; Professional

Bargaining Unit; NON

Compensation Grade; Administration & Operations

Compensation Grade Profile; Manager; Program Leader (P6)

Time Type; Full time

Duration Type; Staff Fixed Duration (Fixed Term)

Work Model; Hybrid

Location; 100 College Street, New Haven, Connecticut

Job Description:

Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!

Salary Range

$90,000.00 - $165,750.00

Overview

The Wu Tsai Institute is a university-wide initiative with the mission to understand human cognition and explore human potential by sparking interdisciplinary inquiry. We bring together biological, psychological, and computational perspectives through shared facilities, training and mentorship, innovative faculty hiring, collaborative spaces, community-building events, and moonshot projects. We prioritize mission-driven research that bridges disciplines and advances a more integrated understanding of the mind and brain across scales and species. We aim to connect this understanding with other sectors of society to gain insight into the broader use and impact of research.

The Institute seeks a highly motivated and skilled Research Software Engineer to join our dynamic team at Yale University. Working closely with the Director of the Center for Neurocomputation and Machine Intelligence and reporting to the Managing Director, the incumbent joins a team science initiative at the Institute titled Grand Challenges in Cognition to create new machine learning models including large language models of the brain and of neuroscience. This role involves working with scientists across labs to understand their data and build workflows to prepare their data for use in AI models. The work includes systematically surveying and cataloging a wide range of research across multiple laboratories and external, publicly available datasets.

Major Responsibilities:

1.Interface with neuroscientists to understand their research methods and workflows.

2.Systematically survey, evaluate, and catalog ongoing research and existing datasets at shared/open data repositories.

3.Collaborate with data scientists and software engineers to map data into desirable formats.

4.Build data-specific pipelines for pre-processing, visualization, and quality control.

5.Lead training sessions for neuroscientists and specialists, ensuring they are equipped with the necessary skills and knowledge to make the best use of software and datasets developed.

Required Skills and Abilities

1. Solid coding skills and good experience in AI/ML; demonstrated ability to translate experience from an equivalent language

2. Familiarity with GPU computing environments and ML frameworks and libraries 3. Ability to execute multiple simultaneous data-oriented projects with impeccable quality and attention to detail

3. Strong written and oral technical communication skills, including when interacting with non-technical audiences

4. Strong leadership and team skills with the ability to manage multiple projects and stakeholders.

Required Education

Requires a bachelor's degree in a related area and 4-6 years of experience in the field or in a related area.

Preferred Skills and Abilities

1.Advanced degree in computer science, engineering, or related field 2.Familiarity working with various modalities of neural, cognitive, and/or behavioral data from public or internal sources

3.Experience working with researchers to understand their data and build workflows to prepare their data for use in AI models

4.Experience leading training sessions on data workflows

Principal Responsibilities

Designs, modifies, develops, writes and implements software programming applications. Supports and/or installs software applications/operating systems. Participates in the testing process through test review and analysis, test witnessing and certification of software. Familiar with a variety of the field's concepts, practices, and procedures. Relies on experience and judgment to plan and accomplish goals. Performs a variety of complicated tasks. May lead and direct the work of others. May report directly to a project lead or manager. A wide degree of creativity and latitude is expected. Required Education and Experience Requires a bachelor's degree in a related area and a minimum of four years of experience in the field or in a related area.

Background Check Requirements

All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.

Health Requirements

Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.

Posting Disclaimer

Salary offers are determined by a candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's grade profile and current internal and external market conditions.

The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.

Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).

Note

Yale University is a tobacco-free campus.