SystImmune · 2 months ago
Machine Learning Frontier Scientist - AI Drug Discovery
Redmond, WA
Full-time
Onsite
Senior Level
$100K/yr - $180K/yr
5+ years expSystImmune is a leading and well-funded clinical-stage biopharmaceutical company that specializes in developing innovative cancer treatments. They are seeking a Machine Learning Frontier Scientist to apply AI to drug development, focusing on drug target discovery and therapeutic design in oncology and immunology.
BiopharmaBiotechnologyProfessional Services
Responsibilities
Drug Target Discovery: Develop and apply ML/AI methods to identify and prioritize novel drug targets, including T cell engagers, ADCs, and multispecific antibodies
Therapeutic Design: Engineer and optimize therapeutic strategies using ML models, including payload strategies and checkpoint combinations for cancer indications
Model Development: Build scalable and interpretable machine learning models (e.g., DL, VAEs, GNNs) using public and internal multi-omics, structural, and clinical datasets
Data Mining for Oncology: Analyze complex datasets (RNA-seq, proteomics, perturbation, clinical trial data) to generate actionable insights into cancer biology and treatment response
Cross-functional Collaboration: Work closely with protein engineers, immunologists, and translational scientists to integrate AI-driven hypotheses into the drug pipeline
Scientific Feedback Loop: Interpret outputs from ML models and guide experimental validation, providing insight into feasibility, mechanistic pathways, and therapeutic relevance
Qualification
Required
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
Preferred
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
Benefits
100% paid employee premiums for medical/dental/vision
STD, LTD
A 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 and MORE.
Company
SystImmune
SystImmune is a biotechnology company.
51-200 employees
H1B Sponsorship
SystImmune has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2023 (1)
2022 (2)
2021 (2)
2020 (1)
Funding
Current Stage
Growth StageLeadership Team
Martin S. Olivo, MD, MSc,
Chief Medical Officer
Recent News
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