Deep Origin

Role Description This is an opportunity for someone with extensive “ARPA” experience (e.g., HHS, FDA, NIH, BARDA, DARPA, NSF) to lead and work with an exceptionally talented and high-performing team on challenging and cutting-edge projects. This position requires the ability to effectively lead and manage complex scientific/research projects. - Effectively manage the budget - Juggle multiple priorities - Organize processes - Oversee successful execution from concept to deliverables - Coordinate among both management and technical professionals - Be viewed as the ultimate leader of both the project and the consortium Qualifications - Master’s Degree with a minimum of 5+ years of relevant experience, including prior experience on ARPA projects (e.g. DARPA, IARPA, ARPA-E) - Prior interactions with the FDA - Experience/familiarity in some combination of: - Drug development - Molecular biology - Computational biology - Computational chemistry - Molecular chemistry - Machine learning - Mechanistic modeling - Prior experience managing multi-organization projects spanning multiple years - Responsibility and experience in both technical and non-technical personnel management - Experience in a supervisory capacity in planning, developing, and executing significant research and development efforts - Excellent communication, collaboration, and presentation skills with both deeply technical and non-technical personnel - Proven results-oriented problem-solving abilities, and bringing an attitude of win-win to every challenge - Strong experience with project management tools (Jira or MS Project) and presentation graphics and/or spreadsheet tools (Microsoft Office or Google) - Familiarity with budget tools - Experience in establishing strong working relationships with R&D program managers as well as organization leadership - Tracking task order efforts to rapidly identify and resolve potential and new problems - Identifying and resolving administrative and contractual issues related to a support services contract Requirements - Nice-to-Have: PMP - Nice-to-Have: PhD in Biology Benefits - Opportunity to shape the future of health, longevity, and our ability to simulate life - Competitive compensation package with meaningful equity - Comprehensive health, dental, and vision coverage - Remote-friendly culture with optional onsite work - Annual team gatherings and company events - Free lunch, snacks, beverages, and onsite gym access (for in-office employees)

Role Description We are looking for a Senior DevOps / Infrastructure Engineer to join our existing DevOps team. This is a senior IC role with a broad technical scope: - Own complex initiatives end-to-end. - Drive collaboration across engineering and science teams. - Set a high bar for how we build and operate infrastructure. - Support R&D teams by running and evolving the compute clusters that power bioinformatics pipelines, ML training, and other HPC workloads. Highly autonomous: able to operate with minimal guidance, prioritize work independently, and take full ownership of infrastructure decisions and outcomes. Qualifications - 10+ years of infrastructure and DevOps engineering experience, with a proven track record in senior or lead IC roles. - Ability to take end-to-end ownership of complex, multi-team initiatives and drive them from design through to production. - Hands-on experience running HPC or research compute clusters: bare-metal provisioning, Slurm (or equivalent), GPU infrastructure, and shared storage (NFS, Lustre, or similar). - Comfortable operating in environments with a mix of cloud, VPS, and bare-metal systems, including legacy or non-standard setups. - Experience supporting scientific or R&D teams with mixed workloads: long-running CPU batch jobs, GPU training jobs, and interactive compute. - Deep, hands-on AWS expertise: EKS/Kubernetes, IAM, VPC networking, S3, RDS, and cost management. - Solid Terraform skills and a principled approach to infrastructure-as-code. - Strong Linux fundamentals and experience managing multi-node environments at scale. - Experience owning and improving production observability systems (Prometheus/Grafana, OpenTelemetry, ELK, or similar). - Strong security fundamentals: threat modeling, least-privilege access design, vulnerability management, and compliance frameworks. - Experience owning incident management end-to-end, including process design and continuous improvement. - Excellent communication skills; able to work directly with researchers and scientists as well as with engineering and leadership. - Fluent English. Requirements - Background in biotech, bioinformatics, or scientific computing environments (Nice-to-Have). - SOC 2 Type II audit experience (Nice-to-Have). - Monorepo tooling and developer platform engineering (Nice-to-Have). Key Responsibilities - Own our cloud infrastructure across AWS and third-party hosting and compute providers; ensure it is reliable, scalable, and cost-efficient. - Own and operate bare-metal compute clusters: node provisioning, configuration management, networking, secure access, and ongoing reliability. - Build and maintain configuration management using Ansible (or similar), ensuring reproducible and scalable server provisioning. - Set up and maintain Slurm for job scheduling across CPU and GPU node pools; ensure researchers can submit, monitor, and manage jobs without DevOps involvement. - Design and manage cluster networking: management and storage networks, inter-node communication, DNS, and secure perimeter access, including bastion/jump host setup. - Deep hands-on experience managing Linux-based infrastructure, including networking, firewalls, VPNs, and performance tuning in distributed environments. - Own disaster recovery and business continuity: define RTO/RPO targets, maintain runbooks, and run regular tests. - Manage and optimize infrastructure spend through capacity planning, right-sizing, and intelligent use of reserved and spot capacity. - Manage Kubernetes clusters, networking, and workload scheduling across cloud and on-premise environments. - Enable infrastructure-as-code practices in Terraform; drive consistency, modularity, and auditability across the codebase. - Evolve our observability platform: improve coverage, reduce alert noise, and ensure engineering teams have the visibility they need to detect and resolve issues quickly. - Own security posture across the platform: IAM policies, secrets management, network segmentation, vulnerability management, and SOC 2 compliance. - Lead incident management: on-call processes, escalation policies, runbooks, and blameless post-mortems. - Drive CI/CD improvements and developer workflow initiatives that meaningfully increase engineering throughput. - Evolve internal tooling and CLI infrastructure that engineering teams depend on daily. Values & Working Style - Ownership mindset — you take responsibility from A to Z. - Comfortable navigating ambiguity in a fast-moving startup environment. - Clear communicator who can collaborate across technical and non-technical teams. - Pragmatic problem solver focused on impact. Why This Role Matters Now As we scale our AI platform and expand into new initiatives, engineering velocity and platform reliability directly impact research outcomes and product milestones. This role plays a key part in strengthening our technical foundation during the growth phase.

Role Description Deep Origin is seeking a Scientist with strong expertise in small-molecule docking and benchmarking, molecular dynamics (MD) simulations, and free energy perturbation (FEP), machine learning, to support a transformative ARPA-H initiative. You'll lead the design of robust simulation workflows and analyze protein-ligand structures across a large target panel to support predictive modeling for therapeutic discovery. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Qualifications - Ph.D. in computational chemistry, structural biology, biophysics, or related field. - 2+ years of postdoctoral or industry experience in structure-based modeling. - Hands-on expertise with FEP (RBFE/ABFE), including best practices around setup, sampling, and analysis. - Proficiency with one or more simulation platforms (e.g., OpenFE, GROMACS, AMBER, NAMD). - Hands-on experience with RDKit and related cheminformatics tools, and with machine learning methods (RF, gradient boosting, SVM, linear models, Chemprop) for molecular property modeling. - Strong understanding of protein-ligand binding, structure selection, and conformational variability. - Programming experience in Python, and familiarity with tools like MDAnalysis, PyMOL APIs, or MDTraj. Requirements - Analyze tens to hundreds of protein targets relevant to ADMET and off-targets, focusing on conformations, binding site flexibility, and ligand-bound states to guide structure preparation and ensemble design. - Run and refine small-molecule docking, MD, and FEP (RBFE and ABFE) simulations using state-of-the-art tools. - Apply alchemical transformations and advanced sampling strategies to build robust, well-converged, and reproducible FEP workflows for accurate binding free energy predictions. - Apply cheminformatics tools (e.g., RDKit, scikit-learn, etc.) for molecular representation and descriptor generation, and with machine learning methods, including random forests, gradient-boosted trees, SVM, linear/regularized regression, and Chemprop, for molecular property prediction and model validation. - Collaborate with ML and experimental teams to integrate structure-based insights across discovery pipelines. - Communicate progress, technical findings, and challenges across internal and external teams. - Stay current with advances in structure-based binding affinity prediction methods and best practices, and integrate relevant developments into ongoing work. Nice to have - Experience benchmarking across multiple PDB entries or conformational states. - Prior work integrating structural modeling into machine learning pipelines. - Familiarity with MM/GBSA, docking scoring functions, or clustering methods. - Experience using Unix-based HPC environments, workload managers (e.g., SLURM, etc.), and optionally AWS. - Comfort managing large-scale simulation data for modeling or analysis. Benefits - Deep Origin builds modern infrastructure for computational science at the interface of biology, chemistry, and AI. - As part of our ARPA-H program, you’ll shape the future of structure-based modeling for therapeutics.

Role Description We are looking for a Senior DevOps / Infrastructure Engineer to join our existing DevOps team. This is a senior IC role with a broad technical scope: - Own complex initiatives end-to-end. - Drive collaboration across engineering and science teams. - Set a high bar for how we build and operate infrastructure. - Support R&D teams by running and evolving compute clusters that power bioinformatics pipelines, ML training, and other HPC workloads. Highly autonomous: able to operate with minimal guidance, prioritize work independently, and take full ownership of infrastructure decisions and outcomes. Qualifications - 10+ years of infrastructure and DevOps engineering experience, with a proven track record in senior or lead IC roles. - Ability to take end-to-end ownership of complex, multi-team initiatives and drive them from design through to production. - Hands-on experience running HPC or research compute clusters: bare-metal provisioning, Slurm (or equivalent), GPU infrastructure, and shared storage (NFS, Lustre, or similar). - Comfortable operating in environments with a mix of cloud, VPS, and bare-metal systems, including legacy or non-standard setups. - Experience supporting scientific or R&D teams with mixed workloads: long-running CPU batch jobs, GPU training jobs, and interactive compute. - Deep, hands-on AWS expertise: EKS/Kubernetes, IAM, VPC networking, S3, RDS, and cost management. - Solid Terraform skills and a principled approach to infrastructure-as-code. - Strong Linux fundamentals and experience managing multi-node environments at scale. - Experience owning and improving production observability systems (Prometheus/Grafana, OpenTelemetry, ELK, or similar). - Strong security fundamentals: threat modeling, least-privilege access design, vulnerability management, and compliance frameworks. - Experience owning incident management end-to-end, including process design and continuous improvement. - Excellent communication skills; able to work directly with researchers and scientists as well as with engineering and leadership. - Fluent English. Requirements - Background in biotech, bioinformatics, or scientific computing environments (Nice-to-Have). - SOC 2 Type II audit experience (Nice-to-Have). - Monorepo tooling and developer platform engineering (Nice-to-Have). Key Responsibilities - Own our cloud infrastructure across AWS and third-party hosting and compute providers; ensure it is reliable, scalable, and cost-efficient. - Own and operate bare-metal compute clusters: node provisioning, configuration management, networking, secure access, and ongoing reliability. - Build and maintain configuration management using Ansible (or similar), ensuring reproducible and scalable server provisioning. - Set up and maintain Slurm for job scheduling across CPU and GPU node pools; ensure researchers can submit, monitor, and manage jobs without DevOps involvement. - Design and manage cluster networking: management and storage networks, inter-node communication, DNS, and secure perimeter access, including bastion/jump host setup. - Deep hands-on experience managing Linux-based infrastructure, including networking, firewalls, VPNs, and performance tuning in distributed environments. - Own disaster recovery and business continuity: define RTO/RPO targets, maintain runbooks, and run regular tests. - Manage and optimize infrastructure spend through capacity planning, right-sizing, and intelligent use of reserved and spot capacity. - Manage Kubernetes clusters, networking, and workload scheduling across cloud and on-premise environments. - Enable infrastructure-as-code practices in Terraform; drive consistency, modularity, and auditability across the codebase. - Evolve our observability platform: improve coverage, reduce alert noise, and ensure engineering teams have the visibility they need to detect and resolve issues quickly. - Own security posture across the platform: IAM policies, secrets management, network segmentation, vulnerability management, and SOC 2 compliance. - Lead incident management: on-call processes, escalation policies, runbooks, and blameless post-mortems. - Drive CI/CD improvements and developer workflow initiatives that meaningfully increase engineering throughput. - Evolve internal tooling and CLI infrastructure that engineering teams depend on daily. Values & Working Style - Ownership mindset — you take responsibility from A to Z. - Comfortable navigating ambiguity in a fast-moving startup environment. - Clear communicator who can collaborate across technical and non-technical teams. - Pragmatic problem solver focused on impact. Why This Role Matters Now As we scale our AI platform and expand into new initiatives, engineering velocity and platform reliability directly impact research outcomes and product milestones. This role plays a key part in strengthening our technical foundation during the growth phase.

About Deep Origin Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale. As part of strategic government-backed initiatives and the expansion of our AI-driven simulation infrastructure, we are scaling our capabilities in whole-human modeling and predictive toxicology. Exceptional modeling talent is a critical lever in accelerating our mission to reduce disease and extend human healthspan. About the Role We are seeking a Principal Medicinal Chemist to lead and advance small-molecule drug discovery programs from early hit identification through development candidate selection. This is a senior, hands-on scientific leadership role requiring deep expertise in medicinal chemistry, strategic thinking, and cross-functional collaboration. This position calls for a highly creative and experienced chemist who can independently design and execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong technical depth with the ability to guide internal teams and external partners toward impactful outcomes.

About Deep Origin Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale. As part of strategic government-backed initiatives and the expansion of our AI-driven simulation infrastructure, we are scaling our capabilities in whole-human modeling and predictive toxicology. Exceptional modeling talent is a critical lever in accelerating our mission to reduce disease and extend human healthspan. About the Role We are seeking a Principal Medicinal Chemist to lead and advance small-molecule drug discovery programs from early hit identification through development candidate selection. This is a senior, hands-on scientific leadership role requiring deep expertise in medicinal chemistry, strategic thinking, and cross-functional collaboration. This position calls for a highly creative and experienced chemist who can independently design and execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong technical depth with the ability to guide internal teams and external partners toward impactful outcomes.

About Deep Origin Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale. As part of strategic government-backed initiatives and the expansion of our AI-driven simulation infrastructure, we are scaling our capabilities in whole-human modeling and predictive toxicology. Exceptional modeling talent is a critical lever in accelerating our mission to reduce disease and extend human healthspan. About the Role We are seeking a Principal Medicinal Chemist to lead and advance small-molecule drug discovery programs from early hit identification through development candidate selection. This is a senior, hands-on scientific leadership role requiring deep expertise in medicinal chemistry, strategic thinking, and cross-functional collaboration. This position calls for a highly creative and experienced chemist who can independently design and execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong technical depth with the ability to guide internal teams and external partners toward impactful outcomes.

About Deep Origin Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale. As part of strategic government-backed initiatives and the expansion of our AI-driven simulation infrastructure, we are scaling our capabilities in whole-human modeling and predictive toxicology. Exceptional modeling talent is a critical lever in accelerating our mission to reduce disease and extend human healthspan. About the Role We are seeking a Principal Medicinal Chemist to lead and advance small-molecule drug discovery programs from early hit identification through development candidate selection. This is a senior, hands-on scientific leadership role requiring deep expertise in medicinal chemistry, strategic thinking, and cross-functional collaboration. This position calls for a highly creative and experienced chemist who can independently design and execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong technical depth with the ability to guide internal teams and external partners toward impactful outcomes.

About Deep Origin Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale. As part of strategic government-backed initiatives and the expansion of our AI-driven simulation infrastructure, we are scaling our capabilities in whole-human modeling and predictive toxicology. Exceptional modeling talent is a critical lever in accelerating our mission to reduce disease and extend human healthspan. About the Role We are seeking a Principal Medicinal Chemist to lead and advance small-molecule drug discovery programs from early hit identification through development candidate selection. This is a senior, hands-on scientific leadership role requiring deep expertise in medicinal chemistry, strategic thinking, and cross-functional collaboration. This position calls for a highly creative and experienced chemist who can independently design and execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong technical depth with the ability to guide internal teams and external partners toward impactful outcomes.

About Deep Origin Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale. As part of strategic government-backed initiatives and the expansion of our AI-driven simulation infrastructure, we are scaling our capabilities in whole-human modeling and predictive toxicology. Exceptional modeling talent is a critical lever in accelerating our mission to reduce disease and extend human healthspan. About the Role We are seeking a Principal Medicinal Chemist to lead and advance small-molecule drug discovery programs from early hit identification through development candidate selection. This is a senior, hands-on scientific leadership role requiring deep expertise in medicinal chemistry, strategic thinking, and cross-functional collaboration. This position calls for a highly creative and experienced chemist who can independently design and execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong technical depth with the ability to guide internal teams and external partners toward impactful outcomes.