Director, Data Science

Novartis

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: East Hanover, NJ
Salary: $194,600–$361,400 / yr
Posted: 16 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k

This role $278k

$153k most similar roles pay here $384k

This role pays more than 82% of similar roles. Most pay $184,187–$264,450 — the shaded band above. At the midpoint, this role pays about $278k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Novartis

Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals

Novartis currently has 26 open roles on FindRole.

Listed pay typically runs $194,600–$361,400 across 26 roles with salary data.

Most-posted roles

View all roles at Novartis

At a glance

TL;DR · Director, Data Science

Role Posting Log in to save

The Director, Data Science role involves leading the development and deployment of scalable AI solutions across various business units while fostering collaboration between the US commercial team and an India-based data science team. The successful candidate will champion the exploration of cutting-edge technologies, specifically focusing on generative AI and large language models to transform business processes and outcomes. Day-to-day responsibilities include building, piloting, and scaling AI tools, as well as acting as a technical role model for experimentation and best practices. Required expertise includes machine learning models, deep learning algorithms, recommendation systems, and statistics. The candidate must be proficient in Python, Spark, TensorFlow, and PyTorch, while utilizing cloud-based services like AWS and Azure. Specific domain knowledge involves LLMs such as GPT, BERT, and Cohere to solve complex problems within the pharmaceutical industry context.

Skills

Generative AI LLMs Python Spark TensorFlow PyTorch AWS Azure Machine Learning Deep Learning Statistics GPT BERT Cohere Data Science Time Series Analysis

What you'll do

Lead the development and deployment of scalable AI solutions across various business units.
Act as the primary liaison between the US commercial team and the India-based data science team.
Integrate AI-driven solutions into diverse platforms and services to transform business processes.
Research and integrate cutting-edge technologies, specifically focusing on generative AI and large language models (LLMs).
Monitor state-of-the-art foundation models and industry trends to inform corporate strategy.
Perform hands-on technical work to support data science initiatives and team goals.
Champion a culture of experimentation and the adoption of best practices in AI technologies.

What we're looking for

Advanced degree in Computer Science, Engineering, Statistics, or a related field.
Minimum of 10 years of experience in data science.
Experience in the pharmaceutical industry (preferred).
Ability to build and deploy scalable machine learning models using cloud services like AWS and Azure.
Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, and Cohere.
Strong understanding of deep learning algorithms, statistics, and recommendation systems.
Proficiency in programming languages including Python, Spark, TensorFlow, and PyTorch.
Ability to communicate effectively across different time zones and work in a hands-on capacity.

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