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Xaira Therapeutics

AI-powered protein design for therapeutics

Vice President, Early Clinical Development - Oncology

Biology & BiotechConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USA

About the Job

Requirements

  • An MD or MD/PhD is required. Completion of residency and fellowship in medical oncology or hematology/oncology, with board certification, is strongly preferred.
  • At least 12 years of clinical development experience in the biotechnology or pharmaceutical industry, including at least 5 years in a leadership capacity with accountability for programs and direct reports.
  • Demonstrated oncology depth across more than one tumor type, with direct experience conducting dose-finding and dose-optimization studies in patients with advanced cancer.
  • Experience leading clinical strategy and authoring clinical content for at least one oncology IND or CTA, and serving as clinical lead for the resulting first-in-human study through escalation, dose optimization, and expansion.
  • Experience advancing at least one oncology program from Phase 1 into successful late-stage or registrational development, and ability to explain the dose, population, endpoint, and biomarker decisions that enabled the transition.
  • Demonstrated experience defining and executing biomarker strategy that materially influenced development decisions, spanning pharmacodynamics and target engagement, confirmation of mechanism of action in patients, and biomarker-based patient selection.
  • Direct experience applying AI, machine learning, or advanced analytics to a clinical development or translational question, including explaining what was built, how it was validated, and how it changed a decision.
  • Extensive regulatory experience, including direct interaction with the FDA and preferably the EMA across IND or CTA submissions, End-of-Phase meetings, and expedited program pathways.
  • Sound scientific judgment regarding limitations of computational methods, including the ability to interrogate model assumptions and recognize when conventional analysis or direct clinical review is more appropriate.
  • Written and verbal communication skills, with experience presenting to executive leadership, Boards of Directors, health authorities, and external scientific audiences.
  • Effectiveness in a fast-paced, resource-conscious environment requiring strategic leadership and hands-on execution.

Responsibilities

  • Develop and own integrated clinical development plans for priority oncology programs, from development candidate selection through clinical proof of concept and into registrational development.
  • Define target product profiles, indication and tumor type strategy, dose and schedule, endpoints, and biomarker strategy to inform dose, proof of mechanism, and accelerated development opportunities using patient selection insights from Xaira’s AI platform.
  • Translate insight from disease biology, functional genomics, proteomics, computational protein design, and translational studies into clinical hypotheses that can be tested in patients.
  • Establish pre-specified go/no-go criteria for each program and make timely recommendations to advance, redirect, or discontinue programs.
  • Lead clinical strategy and clinical content for IND and CTA submissions, including clinical development plans, first-in-human protocols, Investigator’s Brochure clinical sections, and briefing documents.
  • Establish starting dose, escalation scheme, and dose-limiting toxicity criteria in partnership with pharmacology, clinical pharmacology, PK/PD modeling, and toxicology, including MABEL or exposure-based approaches where appropriate.
  • Design Phase 1 studies that deliver dose determination and mechanistic insight, incorporating contemporary escalation methodologies such as BOIN, mTPI, or Bayesian model-based designs, backfill and expansion cohorts, and randomized dose optimization consistent with FDA Project Optimus expectations.
  • Provide scientific and medical oversight throughout Phase 1 execution, including cohort review; interpretation of emerging PK, pharmacodynamic, biomarker, and response data; safety review committee and DSMB interactions; and protocol amendments.
  • Work with the Translational Medicine team to define each program’s translational and biomarker strategy, including target engagement and pharmacodynamic endpoints, confirmation of mechanism of action in patients, characterization of resistance, and determination of the pharmacologically active dose range.
  • Partner with the Biomedical AI team and X-Patient AI Disease Modeling team to design data collection, analysis, and interpretation aimed at generating hypotheses about mechanism and disease segmentation to inform patient selection, tumor type selection, and combinations.
  • Use Translational platform data, including X-Patient, to design and implement patient selection strategy, including biomarker-defined populations, enrichment versus all-comers designs, assay selection and qualification, threshold definition, and prospective evidence to support a cut-off and companion diagnostic assay development.
  • Define and execute the path from dose expansion to registrational intent, including indication selection; single-arm versus randomized design; comparator and control strategy; endpoint selection across ORR, duration of response, PFS, and OS; assumptions underlying surrogacy; statistical considerations; and accelerated approval strategy where applicable.
  • Lead End-of-Phase 1 and End-of-Phase 2 interactions and expedited program designation strategy, and secure health authority alignment on registrational population, dose, and endpoints.
  • Ensure continuity of clinical, statistical, regulatory, operational, and diagnostic strategy into late-stage execution so critical assumptions are not revisited in Phase 3.
  • Serve as lead clinical representative in interactions with the FDA, EMA, and other health authorities, and oversee clinical content across regulatory submissions, briefing packages, and responses.
  • Hold accountability for participant safety across clinical programs, including oversight of medical monitoring, evaluation of safety signals, and partnership with pharmacovigilance on risk management.
  • Ensure studies are conducted in accordance with GCP, ICH guidance, and applicable global regulatory requirements.
  • Partner with scientists across BioMedical AI, computational biology, data science, engineering, biostatistics, and translational research to bring model-derived insight into clinical decision-making.
  • Apply molecular, single-cell, multi-omic, imaging, real-world, and clinical data to patient selection, biomarker strategy, dose selection, endpoint definition, and trial design.
  • Identify and prioritize practical applications of AI in oncology development, including trial simulation, dose–exposure–response modeling, protocol optimization, enrollment forecasting, digital pathology, external and synthetic control methods, predictive efficacy, and clinical data review.
  • Establish standards for data quality, validation, explainability, bias assessment, documentation, and human oversight wherever a model informs a clinical decision.
  • Design clinical studies so generated data strengthens Xaira models and informs subsequent discovery and development, with tissue collection, sampling design, and consent structured accordingly.
  • Build, lead, and develop the clinical development team, and establish the operating model, governance, and decision forums required as the pipeline expands.
  • Select and manage CROs, central and specialty laboratories, imaging and diagnostic vendors, and consultants while retaining scientific ownership and decision authority within Xaira.
  • Develop and manage the clinical development budget and resource plan in alignment with program milestones and corporate objectives.
  • Establish and maintain relationships with academic and community oncology investigators, cooperative groups, key opinion leaders, patient advocacy organizations, regulators, and prospective development partners; chair advisory boards and steering committees.
  • Oversee scientific communication of clinical data through publications and congress presentations, and communicate program strategy, data, risk, and recommendations to senior leadership, the Board of Directors, and investors.

Desired Qualifications

  • Contribution to an approved oncology therapeutic is strongly preferred.
  • Experience with modalities lacking established clinical precedent, including engineered proteins and antibodies, bispecific and multispecific antibodies, antibody–drug conjugates, targeted protein degraders, or cell and gene therapy.
  • Companion diagnostic co-development experience, including regulatory approval of a biomarker-defined indication.
  • Experience in experimental medicine, adaptive and model-informed drug development, dose–exposure–response analysis, and seamless Phase 1/2 designs.
  • Experience with digital pathology or digital endpoints, causal inference, external control methodology, and real-world oncology data.
  • Regulatory experience involving novel analytics, AI-derived biomarkers, digital measures, or non-traditional approaches to evidence generation.
  • Prior clinical leadership within an AI-native biotechnology company, a computational drug discovery company, or a pharmaceutical AI and data organization.
  • Experience establishing an early clinical development function within a growing organization.

About the Company

Xaira Therapeutics

AI-powered protein design for therapeutics

Xaira Therapeutics uses artificial intelligence to transform drug discovery and development. It builds a pipeline of protein- and antibody-based therapeutics by combining generative AI models from the IPD lab (notably RFdiffusion and RFantibody) with large, multidimensional biological data. The company designs novel proteins and antibodies from scratch to target difficult, previously undruggable biology, then validates and evolves these molecules through iterative data generation that improves its biological foundation models. Unlike many entrants that offer research services, Xaira aims to own and advance its own therapeutic pipeline across multiple modalities, rather than solely providing platforms. The goal is to deliver effective new medicines faster and with a lower chance of failure by integrating AI-driven design, expansive data, and expert leadership.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1B
Headquarters
South San Francisco, CA
Founded
2023

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