Machine Learning Frontier Scientist - AI Drug Discovery

Systimmune • Redmond, WA

79d • $100,000 - $180,000

About The Position

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials, SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discovery or IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. With a growing pipeline and multiple clinical programs in solid tumors and hematologic malignancies, we are expanding our AI and computational discovery team to identify novel drug targets and design next-generation therapeutics. We are seeking a Machine Learning Frontier Scientist with a proven track record applying AI to drug development, specifically in areas like target discovery, antibody or ADC engineering, and cancer immunotherapy. This is not a data management role. The ideal candidate will bring domain-specific expertise in oncology, immunology, or protein therapeutics and be comfortable operating at the frontier of ML applications in therapeutic design.

Requirements

• PhD or Master’s in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Biostatistics, or a related field.
• 5+ years of industry experience in drug discovery or therapeutic development required.
• Strong experience with drug development platforms, ideally including target selection/validation and biologic modality development (ADC, TCE, antibodies).
• Demonstrated application of ML/AI to therapeutic R&D (e.g., gene expression modeling, target nomination, protein interaction prediction).
• Familiarity with oncology-focused discovery, especially involving immune checkpoints, payload strategies, or tumor-specific targets.
• Hands-on proficiency with Python, R, PyTorch or TensorFlow, and related bioinformatics/ML tools.
• Exposure to protein structure modeling or antibody engineering is highly desirable.
• Experience with multi-modal data integration, including single-cell, bulk RNA-seq, proteomics, or clinical data.

Nice To Haves

• Prior work on T cell engagers, ADC programs, or bispecific antibodies.
• Understanding of protein-ligand interactions, payload selection, or immune checkpoint design.
• Knowledge of tools such as AlphaFold, Rosetta, DiffDock, or protein language models.
• Experience working with drug development platforms across cancer and other disease areas.

Responsibilities

• Develop and apply ML/AI methods to identify and prioritize novel drug targets, including T cell engagers, ADCs, and multispecific antibodies.
• Engineer and optimize therapeutic strategies using ML models, including payload strategies and checkpoint combinations for cancer indications.
• Build scalable and interpretable machine learning models (e.g., DL, VAEs, GNNs) using public and internal multi-omics, structural, and clinical datasets.
• Analyze complex datasets (RNA-seq, proteomics, perturbation, clinical trial data) to generate actionable insights into cancer biology and treatment response.
• Work closely with protein engineers, immunologists, and translational scientists to integrate AI-driven hypotheses into the drug pipeline.
• Interpret outputs from ML models and guide experimental validation, providing insight into feasibility, mechanistic pathways, and therapeutic relevance.

Benefits

• 100% paid employee premiums for medical/dental/vision, also STD, LTD.
• 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years.
• 15 PTO days per year, sick leave, plus 11 paid holidays.
• Competitive salary, stock options, and onsite culture in Redmond, WA.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees