AI Data Scientist
At a glance
Mid-level AI Research role at Bilh. Beth Israel Lahey Health · full-time · $104,998–$141,314 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Translate stakeholder problems into machine-learning models, then test and apply them to improve business operations
- Coordinate with software, data and clinical teams to organize source systems and incorporate additional data
- Engineer features, tune model settings, evaluate classifiers and verify that models meet their intended purpose
- Set up vendor-developed models for patient outcome predictions, put them into operation and report their results
- Carry projects from dataset preparation to deployment across development, testing and production environments
What you bring
- A bachelor’s degree in a technical field such as computer science or mathematics, or equivalent experience
- One to three years in an engineering position, with work experience spanning software engineering and data science
- A strong foundation in machine learning and NLP, especially transformer models and large language models
- Practical work with recent generative AI methods, including fine-tuning, prompt design and inference optimization
Who this fits
This role suits someone comfortable working across the machine-learning lifecycle and collaborating with developers, data engineers, physicians and business stakeholders. Employment requires staff to be vaccinated against influenza.
From the employer
When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.
As a Data Scientist, you will focus on machine learning, predictive analytics, and related projects, employing machine learning frameworks across development, testing, and production environments to develop and implement innovative technologies. Your primary responsibility will be to research and advance healthcare analytics solutions. This entails designing machine learning algorithms aimed at improving outcomes, reducing computational complexities, increasing model accuracy, and optimizing critical business metrics. Moreover, you will leverage LLM, NLP, and Generative AI to refine and enhance results.In collaboration with subject matter experts, you will uncover valuable insights and expand on concepts in statistics, optimization, and machine learning to elevate patient and provider experiences. Your role includes building dependable and scalable production machine learning services for integration with other systems. You will work on feature engineering, statistical analysis, novel ML techniques development, classifier performance assessment, and ensuring fitness-for-purpose.
Working cross-functionally, you will engage with a diverse group of stakeholders, including developers, data engineers, and physicians. This position may also involve working on special projects and performing other job duties, as required.
Job Description:
Primary Responsibilities:
1. Collaborates with business stakeholders to document business problems requiring advanced analytics; develop, evaluate and implement machine learning models to improve business operations. (essential)
2. Collaborates with Software Engineering, Data Engineering and clinical team to structure and normalize data systems and other data enrichment sources. (essential)
3. Works on feature engineering, statistical analysis, develop novel ML techniques, understanding classifier performance, and ensuring fit-for-purpose; creates machine learning algorithms to optimize and deliver results, perform hyper-parameter tuning, and evaluated model performance. (essential)
4. Works with cognitive computing platforms to improve predictions about patient outcomes, focuses on configuring, operationalizing, and reporting on vendor developed models. (essential)
5. Visualizes and interprets data and model results (essential)
6. Uses machine learning frameworks in both development, testing and production environments. (essential)
7. Participates on all parts of the machine learning project lifecycle from dataset curation to model deployment. (essential)
8. Performs all other duties as needed or directed to meet the needs of the department and or customer. (essential)
9. Achieves and maintains required certifications (if applicable). (essential)
Required Qualifications:
1. bachelor’s degree in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field: or equivalent years of experience.
2. 1 - 3 Years: Experience in an engineer role Industry experience in software engineering and data science.
Preferred Qualifications:
1. Knowledge and experience using basic and intermediate project management tools and techniques.
2. Programming skills with fluency in Python and its libraryies such as NumPy, Pandas, Scikit-learn, Matplotlib and Seaborn; experience in working with deep learning framework Pytorch, tensorflow or Keras.
3. Familiar with entire data science process life cycle
4. A proven track record of producing quality deliverables on time, taking ownership and accountability of assignments and demonstrating a strong work ethic.
Working experiece in Healthcare
Dept/Unit Specific Skills:
1. Strong background and experience in ML NLP, especially transformer-based ML and Large Language Models.
2. Working knowledge of one or more of the following NLP fields: Information Retrieval, Question Answering/Conversational AI, Reinforcement Learning.
3. Hands-on with latest Generative AI developments in the past year with exposure to finetuning, prompting strategies and optimization of models for inferencing.
4. Experience with working on large data sets, especially with Spark.
5. Experience with cloud computing platforms such as AWS, Azure or GCP.
Pay Range:
$104,998.00 USD - $141,314.00 USDThe pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.