Iambic Therapeutics

Cloud Engineer

• Improve the security of cloud architecture across our AWS environments.
• Embed security into the software development life cycle (SDLC).
• Implement and manage security tooling.
• Partner with engineering teams to remediate vulnerabilities and reduce risk
• Integrate security into CI/CD pipelines and developer workflows.
• Build automated security checks, policy-as-code, and guardrails.
• Enable “shift-left” security practices across engineering teams.
• Design, update and enforce least-privilege access models across infrastructure and applications.
• Establish logging, monitoring, and alerting for both infrastructure and application layers.
• Lead response to cloud and application security incidents.
• Conduct root cause analysis and drive systemic improvements.
• Ensure systems meet regulatory requirements (ISO 27001).
• Define policies for secure development and cloud usage.
• Support audits and continuous compliance initiatives.
• Mentor engineers on both cloud and application security practices.

Senior Software Engineer, Cloud Security

Machine Learning Engineer

• Fine-tune large-scale multimodal transformer models for clinical and biomedical applications
• Identify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomes
• Develop and apply rigorous experimental approaches that account for multiple sources of potential leakage (split, metadata, trial-family, temporal, ontological, arm-comparator, etc.)
• Design and maintain benchmarking and evaluation frameworks that track model quality across models and tasks
• Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics
• Collaborate with ML and software engineering colleagues to deploy and operationalize models
• Partner with clinical scientists and pharmacologists to ensure model development is grounded in drug discovery and development needs
• Communicate results to internal teams, external partners, and at conferences
• Generate high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity

Machine Learning Scientist – Clinical Prediction

Financial Planning and Analysis

• Serve as primary finance business partner for all Discovery groups covering both internal pipeline and external partnership programs, including Computational Chemistry, Medicinal Chemistry, Biology, DMPK, Analytical, Toxicology, and HTE & Lab Operations.
• Lead the financial planning process (annual planning cycle, mid-year reforecast and quarterly budget-to-actual meetings) for all Discovery groups.
• Develop and maintain robust financial models and budgets to track all spending by group, program, and project, and detailed headcount plans.
• Provide timely and actionable financial insights to senior leadership in support of strategic decision-making.
• Assist in long-range planning efforts as well as scenario planning initiatives for our internal pipeline and external partnership programs.
• Build comprehensive program budgets to support Business Development scaling efforts and ongoing negotiations.
• Collaborate with the Accounting team on month-end close activities, including preclinical and other accruals.
• Support the development of scalable, gold-standard FP&A tools, systems and processes as the company grows.
• Work effectively as a team contributor on all assignments, as well as independently, while understanding the necessity for communicating and coordinating work efforts with colleagues across the organization.
• Perform ad hoc analysis and special projects, as assigned.

Senior Manager, FP&A – Discovery R&D

• Design, implement, and maintain production-grade ML workflows (fine-tuning, batch/online inference, evaluation) with strong observability and CI/CD.
• Deploy GPU-accelerated ML services and jobs using modern tooling and cloud-based orchestration.
• Collaborate with ML scientists and cross-functional teams to capture requirements, scope milestones, and deliver features into user workflows and services.
• Conduct code reviews and mentor peers on software engineering and MLOps best practices.

Software Engineer I/II, Machine Learning

Content Writer

• Lead the planning, authoring, and delivery of key development documents (INDs, protocols, IBs, CSRs, Health Authority responses, briefing documents, etc)
• Provide strategic input on document content, messaging, and regulatory expectations
• Partner cross-functionally with Clinical, Nonclinical, Medical, Biostats, CMC, and Regulatory teams
• Establish and refine medical writing processes, templates, and standards
• Implement and manage efficient document workflows and timelines
• Support development of abstracts, posters, and presentations for scientific conferences
• Evaluate and integrate AI tools to enhance writing quality and efficiency
• Manage external vendors and contribute to building internal capabilities over time
• Ensure consistency, quality, and accuracy across all deliverables
• Advise cross-functional leadership on regulatory communication strategy and global document planning

Head of Medical Writing

Full-stack Engineer

• Support and contribute to the Cloud Ops roadmap, aligning infrastructure initiatives with business priorities.
• Provide technical leadership and drive architecture decisions across platform and infrastructure teams.
• Lead the design and evolution of scalable, highly available AWS cloud infrastructure.
• Build and operate production systems with a strong focus on reliability, performance, and cost efficiency.
• Design and manage cloud networking (VPN, VPC, routing, DNS, load balancing, secure connectivity).
• Implement Infrastructure as Code (Terraform) and automate provisioning and operations.
• Troubleshoot complex issues across distributed systems, including networking and performance bottlenecks.
• Apply security best practices and support the ISO 27001 compliance frameworks.
• Improve observability, CI/CD pipelines, and overall operational maturity.
• Mentor engineers in Cloud Services and influence Cloud Ops best practices across the org.

Principal Engineer, Cloud Ops

Security Engineer

• Drive and mature the company-wide information security program and strategy including managing policies, standards, risk assessments, and the enterprise risk register
• Act as the primary internal authority on information security operations, advising leadership and department heads on risk and priorities
• Develop security metrics and reporting for technical and executive stakeholders
• Serve as a working technical mentor to security analysts, providing hands-on guidance, knowledge sharing, and day-to-day direction across IT and cloud security domains
• Own ISO 27001 certification and maintenance, including audits, evidence collection, and improvement
• Directly manage controls rationalization across frameworks (ISO 27001, SOC 2, NIST CSF, SOX ITGC) to support evolving compliance requirements
• Lead and execute the vendor and third-party risk management program
• Establish and maintain information security controls in alignment with life sciences regulatory requirements, including 21 CFR Part 11 and GxP
• Partner with the Software, cloud security, and DevOps teams on expanding industry-standard security practices into the software development lifecycle
• Actively participate in security operations across the corporate IT environment, including hands-on involvement in endpoint security, identity and access management, vulnerability management, and security monitoring
• Define cloud security governance standards and policies for SaaS-hosted environments and oversee compliance
• Own and continuously improve the company-wide security awareness and training program
• Champion a realistic, risk-based security culture across a diverse workforce spanning research, clinical, and corporate functions