Actuarial Fellow utilizes statistical analysis and modeling to assess and manage risk and estimate financial outcomes. Compiles, prepares, and analyzes data to develop statistical models, probability tables, and actuarial studies and evaluate the likelihood and financial impact of various risks. Being an Actuarial Fellow assists with product design and development by analyzing risk groups and calculating appropriate insurance rates, premium levels, and rating systems and structures. Records and tracks accruals, claims, and settlements and prepares documents for input into regulatory filings, financial budgets, forecasts, and other financial projections. Additionally, Actuarial Fellow applies knowledge of mathematics, probability, statistics, principles of finance and business to calculations in life, health, social, and casualty insurance, annuities, and pensions. Requires a bachelor's degree. Requires Fellow of Society of Actuaries (FSA). Typically reports to a manager. To be an Actuarial Fellow typically requires 12+ years of related experience. Achievement and depth of knowledge of specialization or field is the main differentiator. Advisory role on complex and challenging projects and initiatives. Recognized for deep technical and industry knowledge and innovative thinking. Provides thought leadership and guidance to a functional area and the organization. (Copyright 2024 Salary.com)
Posting date | 02/08/2024 |
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Closing date | |
Open Until Filled | Yes |
Position Number | 1128703 |
Position Title | Generative Artificial Intelligence Fellow |
Department this Position Reports to | Research Computing and Data Services |
Hiring Range Minimum | $66,200 |
Hiring Range Maximum | $82,800 |
Union Type | Not a Union Position |
SEIU Level | Not an SEIU Position |
FLSA Status | Exempt |
Employment Category | Regular Full Time w/end date |
Scheduled Months per Year | 9 |
Scheduled Hours per Week | 40 |
Schedule | M-F, 8a-5p |
Location of Position | Hanover, NH 4 Currier, 2nd Floor |
Remote Work Eligibility? | Hybrid |
Is this a term position? | Yes |
If yes, length of term in months. | 9 |
Is this a grant funded position? | No |
Position Purpose | The Generative Artificial Intelligence Fellow (GenAI-Fellow) at Research Computing and Data Services, ITC, Dartmouth, collaborates closely with faculty to advance research projects and ensures efficient GenAI technology utilization. The Fellow contributes to teaching projects that integrate GenAI tools and methodologies for a more enriched learning environment. Emphasizing continuous learning, they actively participate in problem-solving and project development under the mentorship of experienced ITC team members while providing guidance to student workers in navigating GenAI, coding complexities, and application development. |
Description | Are you a trained data scientist proficient in programming with Python and R? Ready to be part of a dynamic team at Dartmouth's Research Computing and Data Services, ITC, where innovation meets impact? We're seeking a passionate individual in the upper valley to join us as a Generative Artificial Intelligence Fellow (GenAI-Fellow) to contribute to groundbreaking research projects and shape the use of artificial intelligence in academia. Why Dartmouth: At Dartmouth, innovation and collaboration thrive. As a GenAI-Fellow, you'll play a pivotal role in advancing impactful research through cutting-edge Generative Artificial Intelligence (GenAI) tools and methodologies. Your Role: As a key team member, you'll be at the forefront of project development, designing and implementing GenAI tools for data-driven faculty projects. Your expertise will provide crucial support to faculty projects, tackling new challenges with innovative AI techniques. Collaborate closely with faculty to establish best practices for GenAI integration in academic settings, ensuring the implementation of emerging projects. Operational Excellence: Support researchers in leveraging GenAI resources across campus, providing mentorship and direction to student workers. Contribute to staffing and recruitment efforts during designated hours and special events. Develop and document workflows to optimize operations and project management within the Research Informatics team. Drive Innovation Independently: Collaborate with the Research Informatics team on personal GenAI projects, participate in the development of AI toolkits, and actively engage in outreach activities. Your independent projects and innovations will align with and support GenAI tools and technologies for researchers, contributing to the creation of AI marketing materials. Your Qualifications: Bring your Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Showcase your proficiency in GenAI tools, coding (R, Python), and experience with machine learning frameworks (TensorFlow, PyTorch). If you're passionate about shaping the future of AI in academia and thrive in a collaborative environment, we want to hear from you. Submit your application, along with a resume and cover letter today. Join Dartmouth at the frontier of Generative Artificial Intelligence and make an impact today! |
Required Qualifications - Education and Yrs Exp | Masters or equivalent combination of education and experience |
Required Qualifications - Skills, Knowledge and Abilities |
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Preferred Qualifications | Preferred Qualifications
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Department Contact for Recruitment Inquiries | Jonathan Kulp |
Department Contact Phone Number | 603.646.6110 |
Department Contact for Cover Letter and Title | John Wallace |
Department Contact's Phone Number | 603.646.1412 |
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 | This position is a 9-month term position. 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. |
Additional Instructions | We strongly encourage applicants to include a link to their GitHub portfolio of relevant work. This portfolio might encompass peer-reviewed academic publications (submitted or accepted), Python data science/GenAI projects, and/or a detailed description of faculty-driven projects. This is a 9-month term position, and we want to highlight that the total compensation package includes benefits. |
Quick Link |
Description |
Project Development
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Percentage Of Time | 75% |
Description |
GenAI Operational Support
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Percentage Of Time | 10% |
Description |
Independent Projects and Innovation
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Percentage Of Time | 10% |
Description | Other duties as assigned |
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Percentage Of Time | 5% |
-- | 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. |