You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-……
Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and……
Preferred Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a closely related quantitative field. Job Title: Data Science Engineer.…
Bachelor’s degree in Computer Science, Engineering, or related field. Design, develop, and operate large-scale data ingestion, transformation, and storage……
Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master’s degree and 4 years of work experience in a……
Bachelor's degree in Computer Science or a related field or 2+ years of equivalent practical experience. You will collaborate closely with senior engineers,……
Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing,……
As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is……
Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders. Ability to Obtain Public Trust.…
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.). At least 18 years of age.…
-Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business……
Collaborate with product and engineering team to implement AI/ML models using PySpark. Solid understanding of system design patterns, scalability, observability……
Minimum Bachelor’s degree in a quantitative field such as computer science, math, statistics, and physics. Graduate level degree in a quantitative field such as……
Communicate technical concepts and model decisions to both technical and non-technical stakeholders. Bachelor's degree in Data Science, Computer Science,……
Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.…
Collaborate with product management and engineering groups to develop new products and features. BS/Advanced degree in quantitative fields: Computer Science,……
Chip in to data engineering and data science frameworks, tools, and processes. The position requires ability to own things, come up with innovative solutions,……
Research in state-of-the-art methodologies. You will be part of a collaborative interdisciplinary team around data, where you will be responsible for building……
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like……
Experience working with AI agents, prompt engineering, and workflow orchestration. Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML,……
Work closely with UX and product design teams to develop interaction flows that guide user inputs, clarify system capabilities, and reduce cognitive load.…
This hands-on role requires both the analytical depth to collaborate with cross-functional business teams in identifying and scoping AI opportunities, and the……
Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.…
This role blends hands-on technical ability with delivery management and team development, driving consistent engineering standards and measurable outcomes in……
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Job Description:
We are looking for an AI Engineer to join our Data Science team, building AI-powered solutions for clinical data processing and analysis within a major pharmaceutical organization. You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-driven decision making.
This is a hands-on engineering role you'll be writing production code, not just building prototypes.
Responsibilities:
Generative AI & Automation.
Develop LLM-powered automation tools for clinical reporting and document generation workflows.
Build AI-driven code generation pipelines and quality assessment frameworks.
Design and implement human-in-the-loop review workflows with feedback loops to continuously improve output quality.
Research & Evaluation:
Research and evaluate emerging AI methods, frameworks, and techniques for specific tasks e.g. comparing fine-tuning vs zero-shot approaches, assessing new document extraction tools, or trialling new agentic frameworks.
Prototype and benchmark new approaches before recommending adoption.
Stay current with a rapidly evolving field and bring new ideas to the team.
Agentic AI & Orchestration:
Design and build multi-agent systems for data workflows agents that retrieve, generate, validate, and iterate autonomously.
Implement agent orchestration using frameworks such as Google ADK, Lang Graph, or Lang Chain.
You care about code quality not just making things work, but making them maintainable.
You're comfortable working across the full stack of an AI application, from data ingestion to user-facing tools.
You can context-switch between multiple projects and work autonomously.
You're curious about the clinical/pharmaceutical domain and motivated to learn it.
You see AI-assisted development as a force multiplier, not a replacement for engineering judgment.
You're a self-directed learner who researches new methods and tools, evaluates them critically, and knows when to adopt vs when to stick with what works.
The minimum salary is $97K and the max salary is $167K.
$97K – $167K/yr (Glassdoor est.)
$127K
/yr Median
Manhattan
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