Fast Facts

Seeking a Senior Data Scientist III to lead the design and implementation of NLP solutions for Generative AI evaluation in healthcare education at Elsevier, focusing on delivering production-ready solutions and mentoring team members.

Responsibilities: Design and conduct experiments for generative AI model performance assessment, develop metrics and evaluation frameworks, create Python packages for evaluation components, mentor junior members, and collaborate on pipeline deployment.

Skills: Expertise in Generative AI evaluation, proficiency in Python, SQL, R, and Java, experience with ML algorithms, and a strong background in cloud computing and *nix systems.

Qualifications: Advanced degree in a relevant field, with 2+ years post-PhD or 5+ years post-Master's experience; healthcare domain knowledge is highly desirable.

Location: Home based in Pennsylvania, United States; no additional travel required.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $120,000 - $180,000.

Do you have expertise in evaluating and implementing Generative AI models?

Are you passionate about applying data science to advance healthcare and education?

About our Team

Elsevier is singularly focused on helping healthcare and health education professionals improve clinical outcomes through evidence-based methods. Our data science team works on designing, building, and maintaining NLP solutions for Generative AI Evaluation of Health and Health Education applications.

About the Role

We are seeking an experienced Senior Data Scientist III to join our Applied AI Evaluation team. You will lead the design, implementation, and maintenance of NLP solutions for Generative AI evaluation, focusing on CK AI and Sherpath AI products. This role requires expertise in data science, mentoring capabilities, and the ability to deliver production-ready solutions.

Responsibilities

·Design and conduct experiments to assess generative AI model performance

·Develop metrics, benchmarks, and evaluation frameworks

·Create production-ready Python packages for evaluation pipeline components

·Evaluate AI models against healthcare domain standards

·Integrate data science components and conduct quality assessments

·Develop automated evaluation and maintenance tools

·Mentor junior team members and provide technical leadership

·Collaborate with technology teams for pipeline deployment

·Implement and maintain product performance reporting

·Contribute to new methodologies and governance frameworks

Requirements

·Advanced degree in computer science, data science, AI, mathematics, or statistics

·2+ years post-PhD or 5+ years post-Master's or 10+ years post-Bachelor's relevant experience

·Expertise in Generative AI model evaluation and metric development

·Proficiency in Python, SQL, R, and Java

·Experience with ML algorithms, deep learning, and neural networks

·Strong background in GitLab/GitHub and cloud computing

·Proven experience with *nix systems and Jupyter notebook hubs

·Ability to build and test new processes while mentoring others

·Healthcare domain knowledge highly desirable

·Track record of developing novel code solutions and best practices

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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