About the Role 

As the Accounting Manager, reporting directly to the Corporate Controller, you will manage and administer all accounting operations and other ad hoc analysis as required. You will help manage a team of contractors supporting day to day functions while laying the groundwork for an in-house team that you will build and grow over time. This is a hands-on, high-impact role where you will have the unique opportunity to create scalable systems, establish best practices, and drive the development of a robust accounting infrastructure that positions Xaira for long-term success.

Key Responsibilities

• Participate in the month-end, quarter-end and year-end financial close process, preparing journal entries, balance sheet and income statement account reconciliations  and analyses for various accounts timely, including but not limited to prepaids, accruals, leases (ASC 842), fixed assets and account reconciliations.
• Prepare the monthly management financial packages (with analysis) and other management reports as requested (this includes understanding and clearly articulating the financial results of the company and preparing balance sheet, income statement fluctuation)
• Reconcile payroll-related accounts and prepare payroll journal entries.
• Collaborate and coordinate with various business partners to obtain required financial reporting information and develop improvements to the financial reporting process.
• Assist account payable operations, including vendor invoices, payment processing, and purchase order reconciliation.
• Identify opportunities to automate and improve accounting processes using ERP systems or other tools.
• Ensure compliance with regulatory requirements, including tax filings, audit readiness, and financial reporting standards.
• Work with cross-functional teams across the company to ensure proper support for the business unit.
• Able to deliver results in a fast-paced work environment.

Qualifications

• 5+ years of progressive accounting/finance experience, ideally a public accounting and private industry mix
• Biotech/pharmaceutical industry experience preferred
• Strong project management skills with the ability to manage competing priorities and meet tight deadlines
• Demonstrated ability to manage external service providers and cross functional relationships.
• Self-starter with a collaborative mindset and a passion for working in a mission-driven organization
• Proficiency in NetSuite and advanced Excel and Google Suite of products (Sheets, Docs) is a plus
• Ability to prioritize assignments, deal with interruptions, and meet deadlines in a fast paced and growth oriented environment

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. The base pay range for this position is expected to be $135,000 - $155,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. XairaTherapeutics is not responsible for any fees related to unsolicited resumes.

AI in Residence

AI in Residence is a highly selective role at the intersection of frontier machine learning and drug discovery. Designed as an industry alternative to a traditional postdoctoral position, the program is for exceptional researchers and engineers who want to apply advanced AI to real biomedical problems end to end, from data to deployed systems.

Residents join a small cohort working on high-impact AI efforts across Xaira. You’ll collaborate closely with AI scientists, research engineers, and drug discovery teams to design, build, and ship machine learning capabilities that directly influence therapeutic programs. This is hands-on, system-level work with real scientific consequence.

We’re looking for candidates with technical depth, intellectual independence, strong research judgment, and evidence of delivering high-quality work—whether through publications, open-source, or production systems.

What You’ll Do

• Develop and advance ML models for biological, preclinical, and translational datasets (e.g., multimodal omics, imaging, text, assay data)
• Design and implement scalable pipelines for data curation, training, evaluation, and inference integrated into discovery workflows
• Own projects end-to-end: problem framing → prototyping → validation → deployment
• Evaluate robustness and reliability (generalization, uncertainty, failure modes), plus interpretability where it supports scientific decision-making
• Contribute technical leadership by proposing new directions, shaping platform capabilities, and raising engineering/research standards through collaboration
  
  

You Might Work On

Examples include (not limited to):

• Foundation / representation models over multimodal biological and translational data
• Methods for small, biased, noisy datasets; distribution shift; and uncertainty estimation
• ML systems for experimental prioritization, assay interpretation, or translational signal discovery
• Evaluation frameworks and benchmarks tailored to discovery decision-making
• Tooling that makes models usable by scientists (interfaces, automation, monitoring)
  
  

What Success Looks Like

• You ship one or more models or pipelines that are used in real discovery workflows
• Your work improves decision quality (e.g., better prioritization, faster iteration, clearer uncertainty)
• You raise the bar on evaluation rigor and reproducibility (strong baselines, error analysis, reliable metrics)
• You leave behind maintainable systems (tests, documentation, monitoring) that others can build on
  
  

We Value

• Strong research judgment: choosing the right problems and knowing what “good evidence” looks like
• Rigor: careful experimental design, ablations, error analysis, and honest reporting
• Systems thinking: reliability, scalability, and maintainability—not just prototypes
  Clear communication: writing, documentation, and sharing decisions/assumptions
• Collaborative execution with scientific and engineering partners
  
  

Program Structure

Duration
6–12 months, with the possibility of extension or conversion to full-time

Start Dates
First hires beginning March 2026, with rolling applications and additional intakes in Summer and Fall 2026

Cohort Size
Small, highly selective cohort to enable meaningful ownership and close collaboration

Mentorship & Support
Dedicated technical mentor, plus structured feedback from senior AI, engineering, and scientific leadership

Publications & Presentations
We value scientific contribution and may support publications and conference presentations when appropriate. Publication scope and timing depend on project needs and are subject to internal review (e.g., IP and confidentiality). Authorship follows standard contribution-based guidelines.

Who Should Apply

We encourage applications from candidates who meet most of the following:

• Recent MS or PhD graduates (or equivalent research experience) in ML/AI, computational biology, biomedical engineering, or related fields
• Evidence of research excellence through high-quality publications or artifacts. Top venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL; Nature Methods, Cell Systems) are a plus, but strong preprints, open-source contributions, or shipped systems with demonstrated impact are equally compelling
• Demonstrated ability to lead substantial technical work with originality—new modeling ideas, rigorous experiments, or production-grade systems adopted by others
• Motivation to translate rigorous research into reliable, deployable AI systems that support therapeutic discovery
  
  

Please include a brief cover letter describing your interest in this role, why you’re excited about this area, and what you hope to gain from the experience.

Compensation:

The expected monthly compensation range is $10,000–$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team as Research Engineers. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply. 

The role is based in our London office, located near Old Street. Our team is highly collaborative, operating on the belief that hard problems are best solved by multiple people working towards a clear goal, bringing and sharing their expertise with the team. We operate a hybrid working culture based on trust. Members of the team are typically in the office 3 days a week.

Key Responsibilities

• Industry experience as a research engineer, in an AI-related company.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Masters (or equivalent)/PhD in AI-related field.
• Public codebases or contribution to public GitHub repositories.
• Experience building and training neural networks.
• Experience in distributed training and inference.
• Experience profiling and optimising large-scale AI models.
• Knowledge or experience in BioAI.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking an experienced research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate the identification and development of novel therapeutics. This role offers the opportunity to apply cutting-edge AI techniques in production settings to address pressing challenges in healthcare and contribute to improving human health globally.

We are particularly interested in candidates who have demonstrated experience building and delivering machine learning systems in industry environments, where rigor, scalability, and cross-functional collaboration are essential. The ideal candidate has experience translating research ideas into robust, production-ready solutions that drive measurable impact.

The role is open to the following locations: San Francisco Bay Area, Seattle

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
• Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments.
• Expertise with modern deep learning toolchains and experience with large scale model training.
• Strong understanding of deep learning fundamentals.
• Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences.
• Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
• Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
• If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team! As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertiseWe welcome candidates with diverse backgrounds and experiences. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.

The role is open to the following locations: San Francisco Bay Area, Seattle and London.

Key Responsibilities

• Completed (or within one year of completing) a PhD in an AI or AI-adjacent field.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Publications in journals or ML conferences.
• Public codebases or contribution to public GitHub repositories.
• Industry experience in an AI company, such as an internship or full-time position.
• Knowledge or experience in BioAI.
• Experience building and training neural networks.
• Experience training models across multiple GPUs.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Role Overview
The Senior Director, Supply Chain and Strategic Sourcing will lead and integrate Xaira’s supply chain, procurement, and contract governance functions, ensuring reliable access to the external partners, platforms, and services that support Research, Biomedical AI, Platform Engineering, and Corporate teams.

This role is responsible for establishing disciplined sourcing strategy, strengthening vendor management, building contract governance infrastructure, and ensuring operational continuity across critical suppliers and service providers. The individual will provide strategic oversight while elevating two existing functions, procurement and contracts, into a cohesive, scalable supply chain capability.

Operating at the intersection of research, technology infrastructure, and external partnerships, This role is responsible for bringing strategic focus to how Xaira engages its external partners, ensuring that sourcing, vendor, and contract decisions serve the company's mission, growth, and long-term goals

Key Responsibilities

Supply Chain Leadership

• Develop and lead overall supply chain strategy
• Ensure continuity, reliability, and risk mitigation across critical vendors and external partners
• Oversee vendor selection, onboarding, performance monitoring, and renewal planning
• Provide leadership with visibility into external dependencies and operational risk exposure
• Map and monitor critical vendor dependencies across research services, cloud infrastructure, data providers, and platform suppliers

Strategic Sourcing

• Guide category strategy development across cloud infrastructure, AI/ML platforms, research services, data providers, lab suppliers, and corporate systems
• Oversee competitive sourcing processes and major vendor negotiations
• Ensure cost discipline and long-term value across supplier relationships
• Partner with Finance to strengthen forecasting, budget alignment, and spend transparency

Contracts and Governance

• Oversee contract negotiation and execution standards across MSAs, SOWs, SaaS agreements, data licenses, and research vendor agreements.
• Ensure structured intake, review, and lifecycle management processes are followed
• Establish clear governance for renewals, amendments, and contractual obligations
• Strengthen coordination between Legal, Finance, and operational stakeholders
• Build contract architecture that gives Legal and leadership a strategic view of risk

Leadership

• Lead and develop procurement and contracts team members
• Establish performance expectations, KPIs, and operating cadence
• Build scalable systems and processes appropriate for company growth
• Elevate supply chain operations from reactive processing to a strategic operational partner

Core Capabilities

• Supply Chain Integration and Operational Continuity
  Ability to ensure reliable supply and vendor performance across research services, cloud infrastructure, laboratory suppliers, and external partners while identifying and mitigating operational risks before they impact the organization.
• Advanced Strategic Sourcing and Negotiation
  Demonstrated ability to structure and lead complex negotiations across cloud infrastructure, software platforms, research services, and vendor agreements while balancing cost, flexibility, speed, and long-term value.
• Contract Architecture and Governance Design
  Ability to design and implement structured contract frameworks, approval workflows, and lifecycle management processes that create visibility, enforce standards, and reduce legal and financial exposure.
• Financial Stewardship and Vendor Risk Management
  Strong analytical capability to model vendor spend, forecast commitments, evaluate total cost of ownership, and proactively surface financial and operational risk.
• Cross-Functional Partnership and Organizational Influence
  Ability to align Legal, Finance, Research, and Engineering stakeholders around sourcing strategy, vendor commitments, and contractual decisions while balancing operational needs and risk management.

Qualifications

• 10+ years of experience in supply chain, procurement, or strategic sourcing leadership
• Experience operating in biotech, life sciences, or technology-driven R&D environments
• Demonstrated experience managing vendor ecosystems spanning cloud infrastructure, SaaS platforms, research services, or technical R&D environments
• Prior responsibility for leading both sourcing and contract management functions
• Proven ability to build structure and operational discipline in growth-stage organizations
• Strong financial acumen, vendor risk management capability, and negotiation experience

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $215,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

Responsibilities

• Build, adapt, and automate display systems to facilitate AI antibody design. 
• Establish, develop, and/or optimize cutting edge technologies to enable data generation at scale for AI model training or evaluation
• Design and apply multiple innovative selection techniques to provide data at scale based on ML training needs. 
• Design, setup, optimize, and use automation to characterize affinity and function at the clonal level. 
• Contribute to the preparation of technical reports and presentations.
  
  

Qualifications

• Significant hands-on experience with protein display techniques such as yeast and/or phage display. Experience in library design, build, panning/sorting and validation. 
• Bachelor of Science or Master’s degree in Molecular Biology, Biology, Biochemistry, or related fields with 2-6 years of industrial experience.  . 
• Familiarity with antibody binding assays and automating them (ELISA, SPR, FACS).
• Proficiency in molecular and cell biology techniques, including mammalian tissue cell culture, and basic skills in molecular biology labs.
• Working knowledge of software and programming for large data set analysis.
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members

Schedule Flexibility: Due to the nature of experimental workflows, this role will require availability on weekends (approximately every couple of weeks). 

Employment Type: Contract

Contract Duration: 9 Months

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $45-$60 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
As a Senior Research Associate Scientist in the Protein Engineering group, you will be a crucial member of our interdisciplinary team, comprising highly creative and talented individuals with exceptional expertise in protein characterization and engineering. This group is responsible for enabling AI drug discovery efforts and optimizing lead molecules. You will work collaboratively with protein designers, biologists, and other drug discovery team members.

We’re looking for an extraordinary library builder who can design, generate and scale complex DNA assemblies for our protein engineering and display teams. This role requires extensive experience with combinatorial, designed and naive library building with the relevant microbiological and protein level expertise to express & qualify them once built. This hands-on role is best for someone who can keep NGS, protein biochemistry, and DNA assembly needs in mind when building complex libraries at speed. 

About You
You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

What You'll Do and Learn

• Design and apply multiple innovative selection techniques utilizing synthetic libraries, like phage, yeast display, and mammalian display. 
• Utilize FACS sorting, plate-based screening, and NGS to identify binders.
• Setup and use automation to further rank leads for affinity and function. 
• Collaborate with cross-functional teams to troubleshoot protein reagents. 
• Train and mentor junior team members, providing guidance on experimental design, data analysis, and troubleshooting.
• Maintain accurate and detailed records of experiments, protocols, and results in accordance with company standards and regulatory requirements.
• Interpret and present scientific findings at research meetings. Provide scientific input and propose follow-up experiments.
• Collaborate and communicate across diverse research teams to successfully achieve scientific goals.
• Contribute to scientific publications, patents, and presentations to disseminate research findings both internally and externally.

Qualifications

• Bachelor of science or master degree in Molecular Biology, Protein Biochemistry, or related fields with 5+ years of industrial experience.
• Hands-on experience with yeast display system and library building.
• Cloning complex assemblies with multi-part golden gate, gibson, and other techniques
• Experience with DNA synthesis CROs.
• High proficiency in yeast display to protein targets, soluble and membrane.
• Proficiency in molecular and cell biology techniques, such as DNA extraction, PCR, enzymatic DNA treatments and library preparation QC for NGS..
• Mammalian tissue culture.
• Antibody engineering and discovery experience.
• Flow cytometry experience (both analytical and sorting). 
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members.
• Experience using LIMS and Benchling systems.

Nice to have Skill(s)

• Experience in protein purification techniques (including affinity, ion exchange, HIC, SEC) and in chromatography hardware and software (Cytiva AKTA, Agilent HPLC).
  
  

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
Xaira Therapeutics is seeking a lab-based Senior Scientist in Inflammation and Immunology to join our Biology & Pharmacology department. This role is ideal for someone who thrives in a hands-on research environment, has experience working with primary human or mouse immune cells and ex vivo tissue systems, and is excited to help shape therapeutic program strategy.

In this role, you will investigate disease biology and drug mechanisms, generate actionable data, and contribute to advancing therapeutic programs through cross-functional collaboration.

What You’ll Do

• Drive preclinical programs by designing and executing in vitro and in vivo studies that explore disease biology, target validation, and lead candidate development.
• Identify knowledge gaps, ask critical mechanistic questions to guide program direction, and evaluate novel targets and therapeutic strategies.
• Dissociate human tissue biopsies into single-cell suspensions or establish human tissue slice cultures for downstream functional or phenotyping assays.
• Lead immune profiling and functional characterization using high-parameter flow cytometry (15+ colors or spectral platforms), functional assays (T cell activation, differentiation, proliferation, suppression), and molecular/cytokine profiling (MSD, Luminex, qPCR, RNA sequencing).
• Translate experimental data into actionable insights and clearly communicate findings and recommendations to cross-functional teams.

What We’re Looking For

• PhD in Immunology or a related field with 3+ years of relevant experience; industry experience preferred.
• Track record of impact through publications, presentations, or applied research.
• Hands-on experience with primary human or mouse immune cells and/or ex vivo tissue systems.
• Strong expertise in flow cytometry, including high-parameter panel design, execution, and data analysis.
• Proven ability to independently plan, execute, troubleshoot, and interpret experiments.
• Highly organized, with the ability to manage multiple workstreams in a fast-paced environment.
• Clear communicator who can distill complex data into actionable insights.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $140,000 - $170,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

We are a technology-driven biotechnology company using AI to compress the timelines of drug discovery and development. At Xaira, we believe that becoming a truly AI-native organization is not a future ambition. It is a present imperative. The way we build our infrastructure, adopt our tools, and lead our technology function will determine how fast we can move and how far we can go.The optimal candidate is energized and enthused to push the frontier of what an enterprise can do with all available and evolving AI tools.

We are seeking a VP of Information Technology to serve as the senior-most IT leader and AI evangelist on the team. The optimal candidate is energized and enthused to push the frontier of what an enterprise can do with all available and evolving AI tools.This role will own the full scope of IT: strategy, security, infrastructure, operations, and the team that delivers it all. You will set the technology direction for Xaira, build a high-performing function, and be accountable for outcomes across the organization.

This is a role for an experienced leader who understands that in a company like ours. It is not a support function. It is the infrastructure on which scientific breakthroughs are built. You will be the architect of an AI-native enterprise, embedding intelligence into how we operate, how we discover, and how we scale. You will enable our team to move faster, work smarter, and focus on what matters most: getting medicines to patients sooner.

What You'll Own

Technology Strategy & Architecture

• Define and own the company's IT roadmap across cloud infrastructure, enterprise applications, end-user computing, networking, and AI-powered systems purpose-built for drug discovery and development
• Make architectural decisions with long-term scalability in mind, not just near-term need
• Lead the company's AI adoption strategy across the enterprise, identifying where AI and machine learning tools can meaningfully accelerate research workflows, computational biology pipelines, and clinical operations
• Embed AI-driven automation into how the company works at every level, from IT operations and security to scientific data workflows, reducing manual overhead and giving researchers more time to do science
• Identify and adopt emerging technologies in the life sciences AI space that create meaningful competitive advantage in speed and precision

Infrastructure & Operations

• Ensure the reliability, performance, and scalability of all enterprise systems including the AI, machine learning, and high-performance computing platforms that power drug discovery
• Build and maintain cloud-first infrastructure that can support the significant compute and data demands of AI-driven research without becoming a bottleneck to scientific progress
• Own incident management processes including root cause analysis, post-mortems, and follow-through on remediation
• Establish and enforce SLAs, OKRs, and operational standards with clear accountability

Security

• Serve as the company's senior security leader in the absence of a CISO, owning the full security posture across network, endpoint, identity, cloud, and application layers
• Lead all compliance programs including SOC 2, ISO 27001, GDPR, CCPA, and applicable life sciences regulatory requirements
• Build a proactive security culture that encompasses threat modeling, vulnerability management, incident response, and employee awareness
• Report regularly to executive leadership and the board on risk, security posture, and mitigation plans
• Make informed decisions on the trade-offs between operational speed and security risk

Team Leadership

• Recruit, develop, and retain a strong IT organization with the depth to scale alongside the business
• Build a culture of accountability, professional growth, and operational excellence
• Develop strong internal talent and succession planning so the organization is resilient at every level

Executive Partnership

• Act as a trusted technology advisor to the CEO, CFO, and broader leadership team
• Partner with Engineering, Finance, Legal, People, and Operations to ensure IT functions as a strategic business enabler
• Communicate technical strategy and risk in clear, accessible terms for non-technical stakeholders

Vendor & Financial Management

• Own and manage the IT budget with a focus on both fiscal discipline and strategic investment
• Develop and manage key vendor relationships and negotiate enterprise agreements that support long-term business flexibility
• Ensure technology spending is purposeful and tied to measurable business outcomes

What We're Looking For

Required

• 15+ years of progressive IT leadership, including 5+ years as the senior IT leader (VP, CIO, or equivalent) at a high-growth technology company
• Proven experience owning both IT operations and security without a dedicated CISO
• Deep expertise across cloud platforms (GCP, AWS, or Azure), enterprise architecture, SaaS ecosystems, and modern endpoint management
• Working knowledge of cybersecurity principles, risk frameworks, and compliance programs sufficient to lead the function with credibility
• Demonstrated ability to lead effectively in uncharted territory, setting direction and adapting as the business evolves
• Strong analytical and data-driven approach to decision-making
• Excellent executive communication skills, with the ability to present to and influence a board of directors
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience

Preferred

• Experience at a scaled technology or life sciences company
• Proven hands-on experience with AI/ML infrastructure, LLM tooling, and intelligent automation at enterprise scale
• A track record of driving company-wide AI adoption, not just evaluating tools but leading the organizational change that makes adoption stick
• Experience scaling IT through rapid organizational growth
• CISSP, CISM, or equivalent security credential
• MBA or advanced technical degree

Leadership Competencies

• Strategic Vision Translates complex business and scientific goals into a clear, actionable IT roadmap. Anticipates organizational needs and makes technology investments that deliver long-term value.
• People Leadership Builds, develops, and retains high-performing teams. Creates an environment where people do their best work through clarity of direction, coaching, and genuine investment in career growth.
• Operational Excellence Holds a high bar for reliability, efficiency, and continuous improvement. Establishes the processes, metrics, and accountability structures that keep the organization running at its best.
• Security & Risk Management Owns the company's security posture end to end. Makes sound, defensible decisions on risk in a regulated, data-sensitive environment and communicates clearly to executive leadership.
• Communication & Influence Earns trust and drives alignment across the organization, from the lab bench to the boardroom. Able to make technical complexity understandable and compelling to any audience.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $300,000 - $325,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.

Key Responsibilities

• Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
  Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data.
• Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
• Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
• Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
• Publish methods and results in top scientific journals and present at conferences.
  
  

Qualifications

• PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
• Strong expertise in single-cell data analysis, particularly perturb-seq 
• Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
• Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
• Experience in developing scalable ML methods for large biological datasets.
  
  

Preferred

• Background in causal inference, generative models, or representation learning for biological systems.
• Familiarity with multi-omics integration and cross-modal foundation models.
• Track record of impactful publications in computational biology, machine learning, or related fields.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

• Develop multimodal foundation models spanning image and molecular data
• Design approaches that unify representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation
• Build scalable systems for data processing, training, and evaluation
• Work in a research-driven environment with evolving problem definitions

• Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
• Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)

• Work on multimodal learning or cross-domain representation learning
• Experience with image data, molecular / omics-like data, or both
• Familiarity with large-scale training

• Exposure to biological or scientific datasets
• Experience with paired or partially aligned multimodal data
• Comfortable working in open-ended, evolving problem spaces

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking an Associate Scientist to join our High-Throughput (HTP) team to support the discovery and development of innovative protein therapeutics. This role focuses on the design and execution of HTP expression, purification, and characterization campaigns. You will work at the interface of biochemistry and automation, collaborating closely with our robotics and data teams to advance candidate molecules from in silico design to physical validation.

About You
The successful candidate works effectively both independently and as part of cross-functional teams. Experience collaborating with discovery, process development, and analytical departments is highly desirable. We require an adaptable scientist with strong communication skills and the ability to present data across team and departmental levels. You should excel in fast-paced environments, managing multiple responsibilities and shifting priorities. You are expected to work effectively both independently and as part of a team to drive complex projects forward. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.

Key Responsibilities

• High throughput protein expression, purification and characterization from multiple systems including cell free systems and mammalian is the primary responsibility.
• Drive team throughput and data quality by developing novel strategies for parallel protein processing. Key responsibilities include optimizing expression and purification workflows and conducting quality control and functional assays for proteins used in therapeutic development and in silico design.
• Excellent record keeping and organization is a must
• The experience and flexibility to work on upstream medium scale expression and downstream purification is a plus.
• Perform analytical characterization of purified proteins using HPLC, CE-SDS, and icIEF to ensure high-quality candidates for therapeutic development.

Qualifications

• B.S. (6+ years) or M.S. (6+ years) in a relevant scientific discipline; industrial experience preferred. (PhD (2+ years)
• Proven expertise in high-throughput (HTP) protein production, with a specific focus on cell-free protein expression (CFPE) and/or mammalian transient expression systems.
• Understanding of the biophysics of protein-protein interactions, protein chemistry, experience in the molecular biology and biophysical techniques essential for protein work is required.
• Demonstrated hands-on experience with high-throughput (96/384-well) expression and purification workflows.
• Proven track record of independent project management and cross-functional collaboration.
• Dedicated to inclusive leadership and maintaining a respectful, diverse team environment.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $101,000 - $126,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.

This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.

Key Responsibilities

• Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
• Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
• Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
• Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
• Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.
• Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
• Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.

Qualifications

• Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
• Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
• Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
• Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
• Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).

Preferred

• Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
• Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
• Understanding of privacy, security, and regulatory considerations in healthcare AI.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking a scientific leader to serve as our Director of Biomarkers and Experimental Medicine. This role will create and execute biomarker strategies across discovery and early development, grounded in human biology and designed to scale from target-agnostic disease understanding through program-specific development. You will work closely with Biomedical AI to use multi-modal human data to identify biomarker signals, define patient hypotheses, and establish biomarkers that guide indication choices, patient selection, and proof-of-biology.

A core part of the role is building biomarker capability before programs fully crystallize. This includes defining disease-state and patient stratification frameworks, developing assay and data standards, and creating a biomarker toolkit that can be applied as targets emerge.

Key Responsibilities

• Help create and execute strategies and incorporate human patient data to build AI models for patient stratification, target validation and biomarker discovery, in conjunction with a cross-functional team of experts including Biomedical AI
• Establish a target-agnostic biomarker strategy that defines disease biology, patient subgroups, and measurable signals of disease state, progression, and response potential, even before a specific therapeutic target is selected.
• Define biomarker hypotheses and evidence plans that connect human biology to program direction, including how biomarkers will influence indication strategy, cohort definitions, and clinical readiness.
• Work closely with Biomedical AI/ML to translate biomarker questions into ML-ready problem definitions, including cohort definitions, endpoints, labels, success criteria, and validation expectations.
• Identify and prioritize AI/ML model outputs needed for biomarker work, including patient segmentation, biomarker signal models, multi-modal integration, and response or outcome prediction where appropriate.
• Lead assay strategy and readiness planning, including platform choices, fit-for-purpose validation, sample strategy, and decision points that allow teams to act on biomarker results.
• Create standards for biomarker and model quality, reproducibility, and documentation so outputs are decision-grade and usable across programs.
• Build biomarker data assets and workflows that scale, including reference cohorts, baseline datasets, and repeatable analyses that can be reused as targets and indications evolve.
• Drive cross-functional alignment so biomarker insights consistently inform discovery priorities, program selection, and early development planning.
• Establish and manage an external network of biomarker experts, clinical and translational advisors, and key opinion leaders to pressure-test strategy and strengthen clinical relevance.

Qualifications

• PhD, MD, or MD/PhD with 8+ years of experience in biomarkers, translational science, or human biology within biotech or pharma.
• Deep expertise in biomarker discovery and development, including experience defining biomarker strategies that support program decisions and differentiation.
• Strong experience with human data and multi-modal biology, including genetics and omics, and comfort operating when targets and programs are still being defined.
• Demonstrated ability to work closely with AI/ML teams and translate biomarker questions into ML-ready problem definitions and model development plans.
• Track record of building biomarker capabilities and standards in early-stage environments, including assay readiness, evidence planning, and cross-functional execution.
• Excellent communication and scientific judgment, with the ability to drive clear decisions from complex data, and work collaborative in multidisciplinary teams.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $196,000 - $245,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

We are seeking a driven Scientist and experimentalist who combines strong hands-on molecular biology skills with a creative, critical, and builder-oriented mindset. This role is focused on assisting in the design, construction, and iteration of novel screening platforms and experimental workflows that enable biological discovery at scale.

The ideal candidate is a self-starter who enjoys working in ambiguous problem spaces, thinks deeply about experimental design, and takes ownership of turning early ideas into robust, reproducible systems. You will work collaboratively with other teams, including automation, engineering, and computation, to invent new ways of generating high-quality biological data.

Key Responsibilities

• Develop novel antibody screening technologies and experimental platforms, from early proof-of-concept through scalable, robust workflows
• Design, implement, and optimize screening assays, including biochemical, molecular, and cell-based readouts
• Assist multidisciplinary platform development efforts as a biochemical expert through microbial and mammalian cell line engineering (e.g. cloning, genome editing, expression optimization)
• Apply data-driven and critical thinking approaches to troubleshoot, refine, and improve workflows, enhancing throughput, robustness, and interpretability
• Clearly document experimental workflows, present results, and contribute to shared platform standards while maintaining flexibility for rapid exploration
• Collaborate closely with cross-functional partners (automation, engineering, computation) to integrate biology, data, and technology into cohesive systems

Required Qualifications

• PhD in Molecular Biology, Bioengineering, Biochemistry, or a related field with 1+ years of industry experience, or
  B.S. or M.S. with 8-10 years of relevant industry or applied research experience
• Prior work on platform, workflow, or method development, especially in exploratory or early-stage settings (see examples under Bonus Skills)
• Experience with antibody discovery and engineering workflows, including panning, enrichment, or display-based screening approaches
• Experience with assay development, optimization, and experimental troubleshooting
• Strong hands-on experience in molecular cloning and DNA manipulation
• Experience with cell-line engineering (e.g. E. coli, yeast, mammalian or related systems)
• Demonstrated ability to work independently, think critically, and drive conclusive experiments
• Strong organizational skills and attention to experimental detail

Preferred Qualifications

• Experience with functional antibody screening or protein–protein interaction assays
• Familiarity with high-throughput or semi-automated screening systems
• Experience working with data-rich experimental systems
• Comfort operating in fast-moving, collaborative, and partially undefined problem spaces

Nice to Have

Experience in one or more of the following areas would be a plus:

• Spatial biology technologies (e.g. spatial transcriptomics, in situ or imaging-based assays)
• Single-cell technologies, including single-cell sequencing or high-content single-cell assays
• Microarray-based assays or other multiplexed screening formats
• Microfluidics, particularly for screening, assay miniaturization, or single-cell applications
• High-content imaging or phenotypic screening
• Experience studying or manipulating cell-internal signaling pathways (e.g. receptor signaling, transcriptional regulation, immune signaling, stress responses, or related pathways)
• Protein expression, secretion, or trafficking assays

Compensation: Annual

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

The Senior Director, Project Management, will lead cross-functional execution of the company’s most complex scientific and platform initiatives, ensuring work across biology, computational science, protein design, and engineering teams progresses with clarity, alignment, and momentum.Working closely with scientific and technical leadership, this individual translates strategic priorities into well-structured projects with clear scope, milestones, ownership, and dependencies. The role requires strong project management discipline combined with a product lens, helping teams prioritize work based on impact, define clear outcomes, and focus effort on the highest-value initiatives.Operating at the center of scientific, technical, and organizational execution, this leader brings structure to complex work while enabling teams to move quickly in a discovery-driven environment.

Key Responsibilities
Project Leadership

• Lead planning and execution of complex, cross-functional projects spanning research, computational science, protein design, and engineering teams
• Translate strategic priorities into clearly structured projects with defined scope, timelines, ownership, and success criteria
• Apply a product lens to project leadership, ensuring initiatives are prioritized based on impact, feasibility, and organizational goals
• Partner with scientific and technical leaders to define clear outcomes and success criteria rather than activity-based workstreams
• Manage scope intentionally, balancing scientific exploration with disciplined execution
• Identify risks early and implement mitigation strategies to maintain project momentum

Strategic Execution Partnership

• Partner with scientific and technical leadership to translate organizational priorities into executable project plans
• Help shape the sequencing of major initiatives to ensure resources are focused on the highest-impact work
• Provide leadership with clear visibility into progress, dependencies, and emerging execution risks across projects
• Frame execution progress, tradeoffs, and emerging risks in ways that enable leadership to make timely and informed decisions

Cross-Functional Alignment

• Align stakeholders across biology, computational science, protein design, and engineering teams around shared priorities and sequencing of work
• Coordinate interdependent projects across research and platform teams, ensuring work is sequenced appropriately and dependencies are clearly understood
• Identify points where progress in one initiative enables or constrains work in another, helping teams adjust plans accordingly
• Resolve cross-team bottlenecks and maintain forward momentum across projects

Project Operating Model

• Establish consistent project planning, tracking, and reporting practices across teams
• Introduce planning frameworks and decision rhythms that improve transparency and coordination
• Evaluate, select, and harmonize project management tools and platforms across the organization, ensuring teams operate with a consistent and scalable PM infrastructure
• Strengthen the organization’s ability to execute complex scientific and technical initiatives predictably

AI-Enabled Project Management

• Champion the integration of AI tools and workflows into project management practices, identifying opportunities to improve planning, tracking, risk identification, and reporting through intelligent automation
• Stay current on emerging AI capabilities relevant to PM operations and serve as an internal advocate for thoughtful, effective adoption across teams
• Partner with computational and engineering teams to ensure AI-driven initiatives are managed with appropriate rigor while leveraging AI to enhance the PM function itself

Team Leadership

• Build and develop a high-performing project management team as the organization grows
• Establish expectations for rigor, clarity, and accountability in project execution
• Mentor project managers to operate as strategic partners to scientific and technical leaders
• Define team structure, hiring priorities, and development pathways that scale with organizational growth
• Foster a culture of continuous improvement within the PM team, regularly evaluating and refining how the team operates

Core Capabilities

• Complex Project Execution - Demonstrated ability to lead large, cross-functional projects involving multiple stakeholders, dependencies, and evolving scientific priorities.
• Product-Oriented Thinking - Ability to approach project leadership with a product mindset—prioritizing work based on impact, defining clear outcomes, managing scope intentionally, and ensuring initiatives deliver meaningful value.
• Cross-Functional Leadership - Proven ability to align scientific, technical, and operational teams around shared priorities and drive execution through influence.
• Structured Planning and Risk Management - Strong capability in dependency mapping, risk identification, mitigation planning, and maintaining forward progress in complex environments.
• Executive Communication and Decision Framing - Ability to synthesize complex scientific and technical work into clear updates, priorities, and tradeoffs that support effective leadership decision-making.

Qualifications

• Bachelor’s degree required; advanced degree preferred (MBA, MS, PhD, or equivalent)
• 10+ years of experience leading complex cross-functional projects in biotech, TechBio, or similarly interdisciplinary environments where computational and experimental research intersect.
• Strong understanding of AI/ML-enabled biological research, with experience partnering closely with computational biology, protein design, biomedical AI, or research engineering teams.
• Experience working closely with scientific and engineering teams in research or platform settings
• Deep understanding of drug development processes, including preclinical through early clinical stages, with the ability to connect research and platform initiatives to the broader development continuum
• Demonstrated ability to bring structure and clarity to complex initiatives in fast-moving organizations
• Strong organizational, communication, and stakeholder alignment skills
• Proven ability to influence highly skilled teams without relying on formal authority
• Experience managing and developing high-performing teams

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $225,000 - $285,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.