Senior Data Scientist, Molecular Modeling and Drug Discovery (Specialist Senior) - SFL Scientific
SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Business Strategy, Environmental, Social and Governance Strategy, Technology Strategy & Business Transformation, and AI & Data Strategy.
Professionals will serve as trusted advisors to our clients, working with them to make clear data-driven choices about where to play and how to win - ultimately driving growth and enterprise value.
We are hiring a Senior Data Scientist with technical and scientific expertise in AI-based drug discovery and molecular modeling to support our team in working with clients, organizing multi-project development, and enabling technical solution delivery. Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving complex R&D problems.
Recruiting for this role ends on 11/3/2024.
Work you'll do
As a Senior Data Scientist at SFL Scientific, a Deloitte Business, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements in order to drive exploratory analysis and design long-term solutions. You will research, design, develop, and apply new AI/ML solutions for drug discovery and development, where you will lead the progress, validation, and interpretation of deep learning and GenAI-based pipelines for therapeutic modalities ranging from small molecules to biologics and nucleic acids.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, protein design, chemical optimization, optimizing population health, and clinical trials. This is a hands-on, highly collaborative Senior Data Scientist role working on modeling complex biological data and solving challenging chemical design problems to develop tools and platforms. As a core member of the team, you will be focused on the implementation and validation of new methods and algorithms and work collaboratively with data scientists, engineers, and industry subject matter experts to aid in the research and advancement of novel protein, molecular, and discovery techniques.
• Research and implement novel machine and deep learning approaches for Drug Discovery multimodal data, including various "omics" (transcriptomics, proteomics, etc.), biologics, small molecules, imaging, etc.
• Work as an individual contributor to prototype data pipelines and AI-based models using state-of-the-art algorithms relevant to R&D in the biological and chemical fields.
• Work closely with external organizations to understand their drug targets, data sets, strategy, and research requirements while driving exploratory analysis and designing long-term solutions.
• Take responsibility for relevant data identification, collection, QC, modeling, and validation to influence and impact pre-clinical and clinical programs for our clients.
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production.
• Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives.
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithms via code reviews, unit, and integration tests.
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business.
• Contribute to original research in the area of generative multimodal modeling, large language models (LLMs), diffusion models, probabilistic reasoning, and causality/causal representation learning applied to fundamental problems in life sciences.
• Build, train, and evaluate multimodal foundation models utilizing various modern GPUs and distributed training infrastructure.
• Work with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, bioassays, scientific literature, and more.
The Team
SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully deliv
Location: Philadelphia, PA
Posted: Nov. 11, 2024, 2:02 a.m.
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