Iambic Therapeutics

• 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

• Provide end-to-end operational leadership for complex clinical trials from start-up through close-out, ensuring delivery on time, within budget, and in compliance with global regulations and company SOPs • Lead cross-functional study teams and drive alignment across Clinical Development, Regulatory, Biometrics, and external partners • Develop and execute enrollment, site management, and monitoring strategies to ensure high-quality trial conduct and performance • Oversee CRO and vendor performance, including KPI management, monitoring quality oversight, document review and approval, and vendor selection support • Partner with Data Management and Medical to conduct ongoing data review and ensure timely query resolution • Develop and manage key study documents and operational tools, including protocols, informed consent forms, project plans, budgets, and study materials. • Lead study-related training for investigators, site personnel, and internal teams. • Proactively identify, assess, and escalate operational risks with mitigation strategies and clear recommendations. • Mentor and support junior clinical operations staff, including potential dotted-line management responsibilities. • Travel up to 10% as required to support study oversight and site engagement

• Work embedded with ML scientists to co-develop and refine model training and evaluation workflows • Translate experimental research code into maintainable, well-structured, and reusable systems • Build and expand benchmarking systems for running models on structural and affinity datasets, computing metrics, and supporting reproducible evaluation • Enable rapid iteration by developing tooling and interfaces that expose new capabilities to researchers • Contribute to the ongoing development and productization of NeuralPLexer • Collaborate with platform and infrastructure engineers on scaling workflows where needed, without owning core infrastructure • Perform code reviews and actively mentor best practices in software engineering across the team • Improve reliability, clarity, and reproducibility of ML workflows and supporting systems • Communicate technical work effectively across a cross-functional research and engineering team

• Design, implement, and train discrete and continuous diffusion models for predicting biomolecular structure tokens • Develop and iterate on structure tokenizers, including vector-quantized representations of 3D molecular and protein structure • Build and maintain data processing pipelines for large-scale biomolecular structure datasets • Train models on multi-GPU clusters, managing large-scale training runs • Develop rigorous benchmarking and evaluation workflows; validate against external benchmarks while prioritizing internal discovery-relevant metrics • Collaborate with ML scientists, computational chemists, and drug discovery teams to integrate models into discovery workflows • Communicate results to internal teams, external partners, and at scientific conferences • Mentor interns and junior team members through code reviews, technical guidance, and best practices (Senior level)

• Define and execute a translational ML strategy spanning omics, imaging, and other biomedical data modalities, in close partnership with translational biology, clinical, and ML leadership • Directly contribute to technical work: experimental design, model development, analysis, and interpretation of translational ML outputs in support of active drug programs • Manage a team (initially 2–3 ML scientists) working on imaging and omics applications; hire for emerging needs as the function scales • Translate clinical and translational biology questions into well-posed ML problems, and translate ML results back into actionable recommendations for drug discovery teams • Serve as a strategic voice into the Enchant development roadmap, ensuring that translational use cases, data requirements, and evaluation criteria inform model priorities • Co-design experiments and data collection strategies with translational biology colleagues to maximize the utility of biomedical data for ML modeling • Establish evaluation frameworks that connect ML model performance to clinically meaningful endpoints and decision criteria • Communicate translational ML results and strategy to internal stakeholders, partners, and at scientific conferences

• Manage full-cycle recruiting for assigned roles, including intake meetings, sourcing, screening, interview coordination, offer support, and closing candidates • Drive efficient hiring processes with a focus on speed, quality, and strong candidate experience • Partner closely with hiring managers to understand role requirements, hiring priorities, and candidate profiles • Execute sourcing and recruiting strategies aligned with business needs and approved hiring plans • Provide regular updates and maintain proactive communication with hiring managers and HR throughout the recruiting process • Build and maintain pipelines of qualified candidates, including both active and passive talent • Leverage recruiting tools and resources including LinkedIn Recruiter, referrals, networking, and targeted outreach to identify high-quality candidates • Support offer development and negotiation in partnership with HR and hiring managers, following established guidelines • Maintain accurate and compliant candidate records within the Ashby applicant tracking system • Ensure recruiting activities align with internal processes and relevant compliance standards • Deliver a professional and consistent candidate experience throughout the recruiting lifecycle • Represent the company positively in all candidate, vendor, and external interactions

• Manage full-cycle recruiting for technical roles, including intake meetings, sourcing, screening, interview coordination, offer support, and closing candidates • Drive efficient hiring processes with a focus on speed, quality, and strong candidate experience • Partner closely with hiring managers to understand role requirements, hiring priorities, and candidate profiles • Execute sourcing and recruiting strategies aligned with business needs and approved hiring plans • Provide regular updates and maintain proactive communication with hiring managers and HR throughout the recruiting process • Build and maintain pipelines of qualified candidates, including both active and passive talent • Leverage recruiting tools and resources including LinkedIn Recruiter, referrals, networking, and targeted outreach to identify high-quality candidates • Support offer development and negotiation in partnership with HR and hiring managers, following established guidelines • Maintain accurate and compliant candidate records within the Ashby applicant tracking system • Ensure recruiting activities align with internal processes and relevant compliance standards • Deliver a professional and consistent candidate experience throughout the recruiting lifecycle • Represent the company positively in all candidate, vendor, and external interactions

• Provide end-to-end operational leadership for complex, multi-regional clinical trials from start-up through close-out, ensuring delivery on time, within budget, and in compliance with global regulations and company SOPs • Lead cross-functional study teams and drive alignment across Clinical Development, Regulatory, Biometrics, and external partners • Develop and execute enrollment, site management, and monitoring strategies to ensure high-quality trial conduct and performance • Oversee CRO and vendor performance, including KPI management, monitoring quality oversight, document review and approval, and vendor selection support • Partner with Data Management and Medical to conduct ongoing data review and ensure timely query resolution • Develop and manage key study documents and operational tools, including protocols, informed consent forms, project plans, budgets, and study materials. • Lead study-related training for investigators, site personnel, and internal teams. • Proactively identify, assess, and escalate operational risks with mitigation strategies and clear recommendations. • Mentor and support junior clinical operations staff, including potential dotted-line management responsibilities. • Travel up to 10–20% to support regional study oversight and site engagement

• Design and improve data pipelines that process large, multi-modal datasets from a variety of internal and external sources into training datasets for AI models. • Evolve our data storage layer to support analytics, schema evolution, reproducibility, and efficient data access. • Collaborate with ML engineers to improve the performance and reliability of Python-based data processing workflows.