When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.
The AI Data Scientist role is designed for individuals who are interested in applying data science, machine learning, and generative AI to healthcare and operational challenges.
This position emphasizes fundamental understanding of generative AI and large language models (LLMs), including how models are trained, finetuned, evaluated, and applied responsibly. The role focuses on model development, experimentation, evaluation, and analytical reasoning.
The AI Data Scientist will work as part of a multidisciplinary team and receive mentorship while developing skills across the AI and data science lifecycle, from data exploration and modeling to evaluation and communication of results.
Essential Duties & Responsibilitiesincluding but not limited to:
1. Supportthe development and evaluation ofmachine learning and generative AI modelsfor healthcare analytics, automation, and decision support.
2. Buildafoundational understanding of large and small language models (LLMs), including basic architecture concepts, embeddings, inference behavior, and limitations.
3. Assistwithprompt design, prompt testing, and prompt optimizationto improve accuracy, relevance, and consistency of LLM outputs.
4. ParticipateinLLM finetuning activities(such as instruction tuning orparameterefficientfinetuning) under guidance and within established workflows.
5. Helpdesign and executemodel evaluation approaches, including quantitative metrics and qualitative review of LLM outputs (accuracy, completeness, bias, hallucinations).
6. Contributetoretrieval ofaugmentedgeneration (RAG)projects byassistingwith data preparation, document evaluation, and grounding assessments.
7. Performexploratory data analysis, data validation, and feature engineeringfor predictive and descriptive modeling tasks.
8. Collaboratewith senior data scientists, data engineers, clinicians, and business stakeholders to translate problems intodata science and AI modeling work
9. Createvisualizations, written summaries, and presentationsto communicate insights and model performance to technical and nontechnical audiences.
10. FollowResponsible AI practices, including awareness of fairness, bias, privacy, transparency, andappropriate AIuse in healthcare.
11. Participatein team meetings, mentoring sessions, and ongoing learning activities related to AI and data science.
Minimum Qualifications:
Education:
Bachelor’sdegree inData Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative fieldrequired
Relevantcoursework or academic projects inmachine learning, NLP, or AIstrongly preferred.
Licensure, Certification & Registration:
Nonerequired
Experience:
0–2 yearsof related experience, including internships, research, academic projects, orentrylevel roles.
Handsonexperience throughcoursework, capstone projects, labs, or internshipsinvolving data analysis or AI modeling.
Skills, Knowledge & Abilities:
Foundationalunderstanding ofdata science, machine learning, and generative AI concepts
Basicfamiliarity withlarge language models (LLMs)and common generative AI use cases.
ExperienceusingPythonfor data analysis, modeling, or experimentation.
Understandingofmodel evaluation concepts, including metrics and qualitative assessment approaches.
Stronganalytical andproblem-solvingskills with attention to detail.
Abilityto explain technical concepts clearly in both written and verbalform
Willingnessto learn new tools, methods, and AI techniques in a collaborative environment.
Preferred Qualifications & Skills:
Courseworkor project experience innatural language processing (NLP)or generative AI.
ExposuretoLLM finetuning methodsor experimentation with pretrained models.
FamiliaritywithLLM evaluation techniques, such as human review, test datasets, or scoring frameworks.
Experiencewithdata visualization tools(e.g., matplotlib, seaborn, Power BI, Tableau).
AwarenessofAI ethics, fairness, and responsible AI practices
Interestin healthcare analytics or working with regulated data.
KeyBusinessRelationships:(Title and Purpose)
1Senior Data Scientists
Mentorship, model review, and technical guidance
2Data Engineers
Access to curated datasets and data pipelines
3Clinical Stakeholders
Understanding healthcare problems and success criteria
Pay Range:
$100,000.00 USD - $145,000.00 USD
The 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.
Beth Israel Lahey Health is a new, integrated system providing patients with better care wherever they are. Care informed by world-class research and education. We are doctors and nurses, technicians and social workers, innovators and educators, and so many others. All with a shared vision for what health care can and should be.
