Senior Research Data Science Specialist at Dartmouth College in hanover, New Hampshire

Job Description:

Posting date:

12/18/2024

Open Until Filled:

Yes

Position Number:

1128062

Position Title:

Senior Research Data Science Specialist

Department this Position Reports to:

Library, Digital Strategies

Hiring Range Minimum:

$108,700

Hiring Range Maximum:

$125,000

Union Type:

DCLWU

SEIU Level:

Not an SEIU Position

FLSA Status:

Exempt

Employment Category:

Regular Full Time

Scheduled Months per Year:

12

Scheduled Hours per Week:

40

Location of Position:

Hanover, NH
Baker 02

Remote Work Eligibility?:

Hybrid

Is this a term position?:

No

If yes, length of term in months.:

N/A

Is this a grant funded position?:

No

Position Purpose:

This position works as part of the Dartmouth Library Research Data Services team to develop and deliver a robust suite of research data services to meet and advance research and curricular needs at Dartmouth. The person in this position will coordinate, develop, and provide computational research project support, with a focus on advanced computing environments and collaborations, and assist in the development and implementation of research data infrastructure across Dartmouth. This role serves as the artificial intelligence lead for the Dartmouth Libraries, guiding Research Data Services efforts, collaborating with key campus partners on AI development, and providing guidance on uses of artificial intelligence across the libraries.This is a hybrid work location eligible position.

Required Qualifications - Education and Yrs Exp:

Bachelors or equivalent combination of education and experience

Required Qualifications - Skills, Knowledge and Abilities:

• BA in computer science, engineering, quantitative or related field + 5-7 years experience, or; MA in a quantitative or related field + 3-5 years, or; PhD in a quantitative or related field


• Demonstrated knowledge of programming/ scripting languages and analysis applications (e.g., R, Python, SAS, SPSS, STATA)


• Willingness to learn new programming languages, statistical analysis tools or other relevant tools as needed


• Experience preparing data for analysis, visualization, and other procedures


• Demonstrated knowledge of data management, curation, and preservation principles and practices


• Demonstrated knowledge of open data, data repositories, and the data life cycle


• Demonstrated ability to work independently and as a team member to solve problems


• Excellent oral and written communication skills


• Strong interpersonal and organizational skills


• Excellent analytical skills


• Experience with using and developing generative artificial intelligence tools, associated tool chains, machine learning frameworks, and/or natural language processing (NLP) for projects; experience with database design and development

Preferred Qualifications:

• Advanced degree (MA, PhD) in computer science, engineering, data science, or similar field


• Experience with emergent information retrieval paradigms, especially semantic search


• Experience leading or contributing to open-source projects


• Familiarity with ethical AI practices


• Experience with data tools and services, including HPC, in a research library or academic/research setting


• Demonstrated ability to initiate, plan, coordinate, implement, and assess complex programs, projects, and services.


• Professional experience working with research data and/or in an academic library

Department Contact for Recruitment Inquiries:

Lora Leligdon, Head of Research Data Services

Department Contact Phone Number:

603-646-3845

Department Contact for Cover Letter and Title:

Lora Leligdon, Head of Research Data Services

Department Contact's Phone Number:

603-646-3845

Equal Opportunity Employer:

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.

Background Check:

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job?:

Not an essential function

Special Instructions to Applicants:

Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy.
https://policies.dartmouth.edu/policy/tobacco-free-policy

Quick Link:

https://searchjobs.dartmouth.edu/postings/77029

Description:

Develops and implements cutting-edge and advanced quantitative methods and techniques in statistics, programming, machine learning, and related areas as needed to support more computationally-intensive research projects. Partners with researchers and Information, Technology & Consulting (ITC) staff to develop, program, review, or troubleshoot custom analyses and workflow pipelines and Dartmouth's computing infrastructure to optimize and complete multiple short- and long-term research projects. Ensures that indigenous, culturally, or personally identifiable sensitive data adheres to relevant protocols and informed best practices.

Percentage Of Time:

40%

Description:

Leads in the development of data and analysis project support in a dynamic and collaborative academic library environment. With support from relevant Research Data Services team members, guides faculty, staff, and students on comprehensive data analysis and visualization projects from conception to dissemination. In coordination with various campus and library departments, manages projects to facilitate the use of extended and contextualized research data services and infrastructure.

Percentage Of Time:

30%

Description:

Provides instruction, outreach, and consultations on advanced computing concepts for faculty, students, and staff to expand computational research skills (including data discovery, curation, management, storage, analysis, visualization, and preservation) as needed for curricular or research projects.

Percentage Of Time:

10%

Description:

In partnership with the Head of Research Data Services and related teams, assists in the development of a comprehensive platform and suite of advanced technical services and infrastructure to support and advance interdisciplinary digital scholarship at Dartmouth.

Percentage Of Time:

10%

Description:

Monitors trends and best practices in library and industry-based artificial intelligence and research data efforts, with an emphasis on open data/software and ethical data use. Recommends and facilitates improvements to existing programs and services, and participates in internal training and professional development for Dartmouth Library and related staff.

Percentage Of Time:

5%

Description:

Participates in professional development activities, which may include research related to research data and artificial intelligence; committee service at the library, campus, state or national levels; publication; continuing education; and professional association activities.

Percentage Of Time:

5%

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Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.

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Performs other duties as assigned.

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