About the Company:
VantAI combines cutting-edge machine learning with deep systems biology, physics and chemistry expertise to solve the most challenging problems in drug discovery. We specialize in the discovery of compounds and biologics that modulate complex protein-protein interactions, using data-driven modeling approaches. Our machine learning-powered in silico platform has helped leading biopharma partners advance their development programs at a fraction of the time and cost of traditional methods.
About the Role:
VantAI is seeking highly-motivated Computational Biologists interested in building the leading AI-enabled drug discovery platform for novel induced proximity therapeutic modality.
Successful candidates will work closely with the Computational Chemistry, Machine Learning and Application Engineering teams to tap into the wealth of evolutionary, structural and -omics data to unlock the full potential of unified machine learning representations and large-scale geometric deep learning generative models.
Projects may include designing large-scale scientific workflows for mining public and unique in-house data; developing novel systems biology and structural biology computational methods, tools and algorithms; and/or designing, training and fine-tuning best-in-class machine learning models. In our projects we apply induced proximity approaches to some of the most challenging targets considered “undruggable” as well as discover, build and develop novel proximity platforms spanning across multiple targets and disease areas.
We value individuals who want to make an impact, have a deep intellectual curiosity, enjoy solving challenging problems and have a track record of achievement. At VantAI, we believe that success is determined by talent and hard work, and individuals are given equal opportunities to grow and advance based on their abilities and contributions.
Key Responsibilities:
Develop pilot capabilities and create large-scale data pipelines from the ground up
Collaborate with other teams across VantAI and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects
Integrate biological insights into the next generation of AI/ML models for drug discovery
Validate and interpret computational predictions by working closely with experimentalists
Basic Qualifications:
Hold an MSc or PhD degree in computational biology, bioinformatics or a related field
Possess mixed academic and/or industrial experience, preferably in the biotech industry
Have a strong background in computational structural or systems biology
Demonstrate strong programming skills in Python, R and/or other languages
Experience building reproducible and scalable computational biology workflows
Experience designing and applying machine learning models
Preferred Qualifications:
Experience with geometric deep learning, graph neural networks, protein language models, transformers and representation learning is a plus
Preferably have prior exposure to drug discovery problems
Experience working with cloud-based infrastructure
Agile project management
NYC Salary: $120,000 - $180,000
This band is a reflection of the job description as written. Looking for a higher salary? Apply anyway! We are happy to speak to more experienced candidates who may require a higher salary and discuss that experience in our first touchpoint.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Experienced computational chemist needed to drive small-molecule discovery programs using CADD and ML at a fast-paced biotech focused on novel therapeutics.
SciTec is hiring an experienced Scientist to develop and optimize high-throughput sensor data processing and exploitation software for MDA in Dayton, OH.
Syneos Health seeks a home-based CRA II with 2+ years of monitoring experience and oncology expertise to monitor clinical trials across the U.S. East Coast and ensure high-quality GCP-compliant study conduct.
Experienced surface analysis scientist needed to operate XPS/TOF-SIMS/Auger instrumentation, analyze surface chemistry data, and deliver clear technical reports for cutting-edge product development clients.
Join Farmacy Beauty's Product Development team to drive skincare innovation, manage cross-functional project execution, and help bring clean, effective formulas to market.
FL87, Inc. seeks an Immunology Scientist I/II with strong T cell and flow cytometry expertise to drive bench-level discovery work for next-generation gene and cell therapy programs.
Pacific Fusion is hiring experienced fusion scientists and engineers (including national lab staff under OBA) to lead R&D from concept to prototype on next-generation pulsed fusion systems.
AbbVie is looking for an experienced CMC Product Group Director to lead cross-functional CMC strategy and project execution for small-molecule and hybrid products across development and commercial stages.
Toyota's Powertrain Design and Evaluation team seeks an R&D Engineer to lead prototype design, integration, and validation of EV charging, V2X, and HEMS products for global markets.
AbbVie is hiring a Medical Director in Neuroscience Clinical Development to lead clinical strategy, study design and safety oversight for CNS programs at its North Chicago campus.
AbbVie is hiring a Director of HEOR Strategy (Oncology) in Mettawa, IL to lead evidence-generation and value demonstration efforts across pipeline and marketed oncology assets.
Lead global CMC regulatory strategy and submissions for RayzeBio’s radiopharmaceutical development programs, driving IND/IMPD/DMF/NDA/MAA content and Health Authority interactions.
Experienced computational chemist needed to drive small-molecule discovery programs using CADD and ML at a fast-paced biotech focused on novel therapeutics.
An applied researcher role focused on building, optimizing, and productionizing large-scale foundation models to improve customer-facing AI at Capital One.