Cellarity
Overview
Machine Learning Scientist: Foundation Models at Cellarity. Join to apply for the Machine Learning Scientist: Foundation Models role at Cellarity. What this position is all about: We seek a Machine Learning Scientist to develop and advance foundation models that capture biological networks driving cellular dysfunction and integrate diverse perturbation modalities to accelerate drug discovery. This role involves hands-on development of large-scale models for high-dimensional biological data, with a focus on perturbation modeling. The work requires strong expertise across deep learning, cell biology and computational biology. The successful candidate will work closely with researchers in biology, chemistry, and omics technology in a collaborative environment. What you would be responsible for
Model Development Design and implement novel algorithms and architectures for large-scale foundation models (e.g. Diffusion models, Transformers, VAEs) using single-cell RNA-seq and other modalities. Develop mechanistic interpretability methods to infer gene networks and regulatory mechanisms via attention, graph-based, and/or causal representation methods. Build state-of-the-art perturbation models using multi-modal perturbation (small molecules, CRISPR, cytokines) and phenotypic data. Pre-train, post-train and deploy generative AI models using proprietary datasets, and distributed training and inference on cloud platforms. Establish clinically relevant benchmarking and evaluation frameworks to assess context generalization and guide model improvements. Stay current with the latest research in foundation models, representation learning (across biology, NLP, vision, and audio), and perturbation modeling. Scientific Collaboration
Collaborate with interdisciplinary scientists from biology, chemistry, and technology teams to translate research questions into cutting-edge ML solutions. Communicate technical concepts clearly to diverse scientific audiences. Contribute to strategic roadmap planning and technical decisions. Experience and qualifications
PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years of relevant ML research or industry experience. Strong foundation in statistics, deep learning and generative AI. Proficient in Python and scalable ML frameworks (e.g. PyTorch, Hugging Face). Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, Gene regulatory networks, PPI networks, multi-omics integration). Experience with chemical / CRISPR perturbation screen data (e.g. Perturb-seq). Experience developing deep generative models for representation learning. Excellent communication skills and ability to work in interdisciplinary teams. Preferred qualifications
Experience efficiently training and fine-tuning foundation models on omics data. Experience with cloud computing (AWS/GCP) and MLOps best practices. Experience with self-supervised learning, contrastive learning, domain adaptation and/or reinforcement learning. Knowledge of ML algorithms for network inference. Ability to work in a fast-paced, multidisciplinary, biotech environment. What its like to work at Cellarity
Push Boundaries: We create a legacy with breakthrough science in service of patients. Inject Energy: We build strengths from different perspectives and tell it like it is. Own it: We transcend our job descriptions and relentlessly follow through on our commitments. Go all out: We work quickly and with conviction. Company Summary
Cellaritys mission is to redesign how drugs are created by focusing on underlying cellular dysfunction to unravel disease biology and create medicines that were never before possible. Cellarity is a privately held, clinical-phase drug discovery startup using AI and single-cell omics to develop life-changing medicines. It is part of Flagship Pioneering's venture creation engine. Cellarity is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Recruitment & Staffing Agencies : Cellarity does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Cellarity or its employees is strictly prohibited unless contacted directly by Cellaritys internal Talent Acquisition team. #J-18808-Ljbffr
Machine Learning Scientist: Foundation Models at Cellarity. Join to apply for the Machine Learning Scientist: Foundation Models role at Cellarity. What this position is all about: We seek a Machine Learning Scientist to develop and advance foundation models that capture biological networks driving cellular dysfunction and integrate diverse perturbation modalities to accelerate drug discovery. This role involves hands-on development of large-scale models for high-dimensional biological data, with a focus on perturbation modeling. The work requires strong expertise across deep learning, cell biology and computational biology. The successful candidate will work closely with researchers in biology, chemistry, and omics technology in a collaborative environment. What you would be responsible for
Model Development Design and implement novel algorithms and architectures for large-scale foundation models (e.g. Diffusion models, Transformers, VAEs) using single-cell RNA-seq and other modalities. Develop mechanistic interpretability methods to infer gene networks and regulatory mechanisms via attention, graph-based, and/or causal representation methods. Build state-of-the-art perturbation models using multi-modal perturbation (small molecules, CRISPR, cytokines) and phenotypic data. Pre-train, post-train and deploy generative AI models using proprietary datasets, and distributed training and inference on cloud platforms. Establish clinically relevant benchmarking and evaluation frameworks to assess context generalization and guide model improvements. Stay current with the latest research in foundation models, representation learning (across biology, NLP, vision, and audio), and perturbation modeling. Scientific Collaboration
Collaborate with interdisciplinary scientists from biology, chemistry, and technology teams to translate research questions into cutting-edge ML solutions. Communicate technical concepts clearly to diverse scientific audiences. Contribute to strategic roadmap planning and technical decisions. Experience and qualifications
PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years of relevant ML research or industry experience. Strong foundation in statistics, deep learning and generative AI. Proficient in Python and scalable ML frameworks (e.g. PyTorch, Hugging Face). Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, Gene regulatory networks, PPI networks, multi-omics integration). Experience with chemical / CRISPR perturbation screen data (e.g. Perturb-seq). Experience developing deep generative models for representation learning. Excellent communication skills and ability to work in interdisciplinary teams. Preferred qualifications
Experience efficiently training and fine-tuning foundation models on omics data. Experience with cloud computing (AWS/GCP) and MLOps best practices. Experience with self-supervised learning, contrastive learning, domain adaptation and/or reinforcement learning. Knowledge of ML algorithms for network inference. Ability to work in a fast-paced, multidisciplinary, biotech environment. What its like to work at Cellarity
Push Boundaries: We create a legacy with breakthrough science in service of patients. Inject Energy: We build strengths from different perspectives and tell it like it is. Own it: We transcend our job descriptions and relentlessly follow through on our commitments. Go all out: We work quickly and with conviction. Company Summary
Cellaritys mission is to redesign how drugs are created by focusing on underlying cellular dysfunction to unravel disease biology and create medicines that were never before possible. Cellarity is a privately held, clinical-phase drug discovery startup using AI and single-cell omics to develop life-changing medicines. It is part of Flagship Pioneering's venture creation engine. Cellarity is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Recruitment & Staffing Agencies : Cellarity does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Cellarity or its employees is strictly prohibited unless contacted directly by Cellaritys internal Talent Acquisition team. #J-18808-Ljbffr