Job Description

Scientist/ Senior Scientist, Computational Chemistry/Machine Learning Arrowhead Pharmaceuticals, Inc. (Nasdaq: ARWR) is a clinical-stage biopharmaceutical company developing medicines for intractable diseases by silencing disease-causing genes. Using diverse RNA chemistries and delivery methods, Arrowhead’s therapies leverage RNA interference (RNAi) to achieve rapid, deep, and durable gene knockdown. RNAi naturally inhibits specific gene expression, affecting protein production, and Arrowhead’s therapeutics harness this pathway to target various diseases. Arrowhead focuses on innovative drugs for genetically based conditions, often involving overproduction of proteins related to disease. Our RNAi platform’s versatility allows us to address virtually any therapeutic area, including targets beyond the liver. Our pipeline includes clinical candidates for liver and lung diseases, with a robust preclinical pipeline. Headquartered in Pasadena, CA, with R&D teams in Madison, WI, and San Diego, CA, our team comprises nimble, science-driven innovators committed to bringing new therapies to patients. The Position We seek a skilled Machine Learning Scientist with strong computational chemistry expertise to join our Madison, WI team. This on-site role involves applying advanced machine learning models to accelerate the development of targeting ligands and RNA-based therapeutics. You will collaborate with a cross-functional R&D team at the forefront of RNA interference (RNAi), where your computational insights will significantly influence therapeutic development. Responsibilities Design and Modeling: Use state-of-the-art computational chemistry and machine learning methods to design and optimize peptide and protein ligands, predict siRNA efficacy, off-target effects, and chemical modifications. Employ structural modeling tools (e.g., AlphaFold, Rosetta) to predict structures and guide ligand engineering. Machine Learning R&D: Develop, train, and refine predictive models for peptide/protein/siRNA properties using deep learning techniques. Analyze large biological datasets to uncover patterns informing lead discovery. Cheminformatics & Data Analysis: Create algorithms to mine and integrate diverse datasets into rational design pipelines. Cross-Functional Collaboration: Work with chemists, biologists, and other scientists to integrate computational designs with experimental validation. Propose candidates and provide in-silico rationale for synthesis/testing, iteratively improving designs based on lab feedback. Algorithm Development: Build and deploy custom ML/AI frameworks to accelerate lead optimization. Innovation & Continuous Learning: Stay current with AI/ML advancements in drug discovery, evaluating and integrating new tools or methodologies to enhance team capabilities. Requirements Ph.D. in Computational Chemistry, Biochemistry, Bioinformatics, Computer Science, or related field, with focus on computational approaches in chemistry or biology. Candidates with 0–10 years of experience (including recent PhDs) are encouraged to apply. Proven experience applying machine learning or AI techniques to chemical or biological problems. Strong understanding of algorithms for molecular modeling, statistical modeling, and data science. Proficiency in Python and scientific computing libraries, with experience in developing and debugging modeling workflows, version control (Git), and reproducible research. Excellent problem-solving and communication skills, with ability to work independently and collaboratively across disciplines, effectively communicating computational insights. Preferred Experience with deep learning frameworks like PyTorch or TensorFlow for model development and data analysis, including neural networks, CNNs/RNNs, or transformer models applied to molecular data. Hands-on experience with protein structure prediction and design tools (e.g., AlphaFold, Rosetta, RoseTTAFold) and understanding of their applications and limitations. Familiarity with bioinformatics tools such as RFDiffusion, ProteinMPNN, or molecular docking software. Salary range in Wisconsin: $120,000—$140,000 USD. Arrowhead offers competitive salaries and excellent benefits. Applicants must have authorization to work in the US. #J-18808-Ljbffr Arrowhead Pharmaceuticals

Job Tags

Similar Jobs