Scientist, Computational Chemist & MLOps Engineer

Job Description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.

Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.

Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.

The Position

We are seeking a highly motivated computational scientist to join our research organization and contribute to machine learning–driven drug discovery efforts. This role will focus on data engineering, statistical modeling, bioinformatics, and scientific software development supporting internal therapeutic design programs. The ideal candidate combines strong quantitative reasoning with practical software engineering skills and is comfortable operating independently in a Linux-based research computing environment.

This position may be filled at the Scientist I - III level depending on experience and qualifications.

Responsibilities

Develop and apply statistical and machine learning models to experimental datasets

Design, maintain, and optimize scientific databases and data processing pipelines

Build reproducible computational workflows for bioinformatics and drug discovery applications

Analyze high-dimensional biological datasets and communicate findings to multidisciplinary teams

Contribute production-quality Python code and maintain version-controlled scientific software

Operate effectively in Linux/HPC environments, including remote systems and cloud-based infrastructure

Write clear, maintainable, and testable scientific code

Debug complex computational and data issues independently

Operate effectively in terminal/Linux-native workflows

Apply statistically rigorous thinking to experimental interpretation

Maintain reproducibility and software engineering discipline in research environments

Partner with scientists across biology, chemistry, bioinformatics, and computational research groups

Support development of internal computational platforms and modeling infrastructure

Document workflows, analyses, and software according to reproducible research standards

Mentor junior team members and contribute to technical best practices (Scientist II/III)

Requirements

Scientist I

Bachelor's or Master's degree in Bioinformatics, Biostatistics, Computational Biology, Computer Science, Data Science, Applied Mathematics, or related field

Strong programming experience in Python

Experience working in Linux command-line environments

Foundational understanding of statistics and machine learning methods

Experience handling structured and unstructured biological datasets

Familiarity with source control tools such as Git

Scientist III (In addition to the above)

Advanced degree (PhD preferred) or equivalent industry experience

Demonstrated history of leading computational projects independently

Strong background in applied statistics, predictive modeling, and experimental data interpretation

Experience mentoring scientists or leading technical initiatives

Ability to translate ambiguous scientific problems into robust computational solutions

Preferred

Experience with predictive modeling and/or deep learning methods

Familiarity with modern ML tooling and model evaluation methodologies

Experience in therapeutic design, RNA biology, genomics, or laboratory experience

Experience with bioinformatics workflows and sequence-based analysis

Experience working with large-scale biological or omics datasets

Experience with distributed computing systems

Experience operating in collaborative software development environments

Wisconsin pay range

$100,000—$125,000 USD

Arrowhead provides competitive salaries and an excellent benefit package.

Candidates must have current, valid authorization to work in the country where this role is located.

California Applicant Privacy Policy

Full-time