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About the Role

Support Xaira’s high-priority Agentic AI Initiatives, including X-Cell, X-Design, and related programs. This role requires a strong scientific and software background with experience in cross-functional project management where ML/AI system and biologics R&D intersect. The position emphasizes scientific and technical depth, coordination across ML, engineering, and scientific teams, and milestone tracking in a rapidly evolving environment.

Responsibilities

Support day-to-day planning and coordination of platform research programs, ensuring clear communication of next steps, expected deadlines, and needs to stakeholders.
Build and maintain project timelines that capture critical milestones, dependencies, and deliverables.
Partner with scientific leads and functional stakeholders to align on scope, priorities, and progress.
Collaborate with scientific teams to define key project milestones, decisional experiments and translate into actionable, resource-information timelines.
Help compile project data, timelines, risks, and trade-offs to support informed decision- making.
Coordinate and facilitate planning and documentation of decisive experiments, and update project plans based on results and next steps.
Facilitate cross-functional collaboration across research to ensure effective communication and documentation of decisions, alignment of priorities and timelines.
Schedule and run cross-functional meetings, ensuring clear agendas, effective documentation, and follow-up on action items.
Monitor interdependencies across functions and proactively identify, flag and resolve conflicts across workstreams.
Track project status, risks, and mitigation strategies; provide updates to internal stakeholders.
Coordinate with functional leads to understand resource needs and potential impacts to timelines.
Contribute to scenario planning and contingency thinking for critical path activities.
Identify operational challenges and recommend improvements to enhance efficiency and coordination.
Work closely with functional and team leads to understand resourcing needs, identify gaps and timeline impacts.
Develop scenario plans for critical path development decisions to support contingency and investment planning to address potential delays, bottlenecks, or shifts in scope.

Requirements

Advanced degree (MS, PhD, or equivalent) in life sciences, bioinformatics, computational biology or a related field strongly preferred.
Minimum of 6+ years of industry experience, including hands-on biologics research with demonstrated project or timeline management responsibilities.
Proven track record of managing research and/or technical programs.
Working fluency in biologics research and ML research with hands on experience a big plus.
Strong analytical, planning, and organizational skills; able to translate complex scientific ideas into clear plans.
Excellent communication, time management collaboration, and stakeholder management skills.
Experience with basic project tracking tools (Excel, Smartsheet, MS Project, Asana, Google Suite, etc).
Working familiarity with project and program management principles as defined by the Program Management Institute (PMI) or similar bodies.
Comfortable managing projects in a fast-paced, cross-functional environment.
Hands-on experience both with wet-lab and computational research.
Experience with data generation for training large machine learning models in biology would be greatly preferred.
Demonstrated ability to lead and influence diverse teams, both functionally and at different levels of seniority.
Passion for science and dedication to improving patient outcomes through innovative biologics development.

Skills

ML/AI system and biologics R&D intersection
ML model training and evaluation
Agentic AI systems (tool use, orchestration, human in the loop review)
Software development
Biologics R&D
Project management
Timeline management
Deliverable tracking
Cross-functional coordination
Milestone tracking
Scientific communication
Technical communication
Analytical skills
Planning skills
Organizational skills
Communication skills
Time management skills
Collaboration skills
Stakeholder management skills
Project tracking tools (Excel, Smartsheet, MS Project, Asana, Google Suite, etc.)
Project and program management principles (PMI or similar)
Wet-lab research
Computational research
Data generation for training large machine learning models in biology

Location

San Francisco Bay Area
Seattle
London
SSF office

Work Type

On-site

Experience Level

6+ years of industry experience

Education Level

MS, PhD, or equivalent in life sciences, bioinformatics, computational biology or a related field

Salary/Compensations

$148,000 - $185,000 annually

Benefits

Competitive compensation and benefits package
Open, flexible, and friendly work environment
Platform to develop long-term careers
Base salary, bonus, and equity

About the Company

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development.
The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets.
It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification.
Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development.

Equal Opportunity

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.