Principal Data Scientist Ai/Nlp

1-6 years

$144,000 and $216,000 per year

Remote, USA

10 July 31, 2024

Job Description

Job Type: Full Time Remote Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Summary

Location: Cambridge, MA #LI-Hybrid

The AI & Computational Science (AICS) team at Biomedical Research, Novartis is leading the way in drug discovery with AI innovation. Our mission is to accelerate the development of transformative medicines for patients worldwide. We are seeking a highly motivated technical and scientific leader in Generative AI to push the boundaries of disease understanding and drug discovery. This role offers a unique opportunity to make a significant impact at the intersection of scientific research, drug discovery, and AI.

About the Role

Key Responsibilities:

Design & Develop AI Models: Create, develop, implement, train, test, and refine modern deep learning AI models for sequence data, such as text, graphs, or biological sequences (e.g., DNA, RNA, proteins).
Generative AI Applications: Apply deep knowledge of foundation models, including pre-trained and large language models, to build generative AI applications in biology, chemistry, and text.
Innovative AI Architectures: Design and develop advanced AI model architectures leveraging principles from encoder/decoders, jointly trained models, Siamese-twin models, VAEs, GANs, etc. Engage in advanced training methods including GPT and Diffusion, and develop/refine learning objectives such as self-supervision.
Project Delivery: Take a hands-on role in delivering high-impact projects.
Applied AI Experiments: Conduct scientific, rigorous, and reproducible AI experiments on internal and public datasets to ensure publishable results.
Ambassadorship & Collaboration: Serve as an ambassador for AI/Data Science by presenting and publishing articles. Build connections between academia, technology, and industry partners.
Mentorship & Development: Stay updated with the latest developments in the field and mentor associates.
Interdisciplinary Teamwork: Work with a team of highly accomplished scientists to advance AI in disease understanding and drug discovery.

Note: This position is located at the Novartis Cambridge (MA) site and does not offer remote work options. Relocation assistance is not available.

Compensation

The expected pay range for this position is $144,000 to $216,000 per year. This range is effective from 1/1/24 to 12/31/24, with potential adjustments based on job market fluctuations. Final pay will depend on factors including location, experience, skills, and other considerations. The total compensation package may include additional elements such as a sign-on bonus, restricted stock units, discretionary awards, and a comprehensive benefits package.

Role Requirements

AI Model Knowledge: Deep expertise in standard AI models such as Transformers, RNNs, and CNNs for NLP and other sequence data domains.
Large Language Models (LLMs): Extensive experience with LLMs, including prompt engineering, use of embeddings, RAG, LangChain, and application architectures.
Emerging AI Uses: Experience with AI applications in biology and chemistry, utilizing models from NLP.
Knowledge Graphs & GNNs: Experience with knowledge graphs and Graph Neural Networks.
Programming Skills: Expert-level Python programming skills.
Team Collaboration: Ability to work effectively in a team and enhance team performance.
Cloud Optimization: Knowledge of cloud computing for high-performance AI model training.
Ethics & Explainability: Understanding of AI model explainability, bias, and ethics.
Statistical Analysis: Proficiency in statistical methods for analyzing AI model results.
Education & Experience: Advanced degree (master’s or doctoral) in computer science or a closely related field, with a track record of leadership and publications in deep learning and applied AI research. At least 5 years of experience in end-to-end AI model development for large-scale datasets is required. Experience in the tech industry is highly relevant; experience in pharma, biotech, or healthcare is a plus.

Why Novartis?

Novartis is committed to improving and extending lives through innovative science and a diverse, inclusive environment. We believe in the power of collaboration and are driven by a culture of integrity, curiosity, and flexibility. Join us to tackle the world’s toughest medical challenges and make a difference in patients' lives.

Commitment to Diversity & Inclusion: Novartis is an Equal Opportunity Employer and strives to create a diverse and inclusive workplace. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, or any other legally protected status.

Accessibility & Reasonable Accommodations: We are committed to providing reasonable accommodations for individuals with disabilities. Please contact us at us.reasonableaccommodations@novartis.com or call +1(877)395-2339 for any accommodation needs.

Join our Network: If this role isn't the perfect fit for you, stay connected with us through our talent community to learn about future opportunities. Join the Novartis Network

Explore More: Discover how you can contribute to Novartis’ mission and culture here.

Division: Biomedical Research
Business Unit: Pharma Research
Location: USA
Site: Cambridge (USA)
Company / Legal Entity: Novartis Institutes for BioMedical Research, Inc.
Functional Area: Data Science
Job Type: Full time
Employment Type: Regular
Shift Work: No

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