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Xaira Therapeutics

Principal Scientist, Target Discovery & Portfolio Strategy

Xaira Therapeutics is hiring a Principal Scientist, Target Discovery & Portfolio Strategy in South San Francisco, United States. It pays $164k-$205k a year and Level rates it ; you can apply on Xaira Therapeutics.

Level's read on this job

  • Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
  • The posting mentions immunology, drug discovery and target discovery among its tools and skills.
  • Level classes it as a lead role.
  • Xaira Therapeutics has 30 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Drives target discovery and portfolio strategy by leveraging multi-modal biological data and AI-driven therapeutics platforms.

immunologydrug-discoverytarget-discoverygeneticsmulti-omics

About Xaira Therapeutics

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. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.

About the Role

We are looking for a Principal Scientist with a strong background in immunology to identify new therapeutic opportunities and help shape Xaira’s portfolio.

You will integrate internal datasets, human genetics, and published research to prioritize opportunities that address patient needs and build on Xaira’s target discovery and antibody design platforms. This role is ideal for someone who enjoys connecting scientific findings and translating them into strategic decisions.

In this role, you will:

  • Identify promising disease areas. Assess unmet needs, disease mechanisms, patient subsets, and the limitations of current treatments.
  • Find and prioritize targets. Combine human genetics, functional genomics, genome-scale multi-omics datasets, and patient data to develop strong therapeutic hypotheses.
  • Assess platform fit. Work with molecular design, protein engineering, and functional screening teams to identify opportunities where our platforms could offer a therapeutic advantage.
  • Evaluate the evidence. Assess causality, the desired direction of target modulation, safety risks, and key knowledge gaps.
  • Build clear recommendations. Develop concise target assessments covering disease rationale, patient selection, competition, differentiation, and risks.
  • Track emerging science and competition. Follow publications and clinical results, and monitor the competitive landscape to identify new opportunities and inform priorities.
  • Use AI tools to analyze multi-modal data.
  • Lead discovery programs or platform initiatives. 

We are looking for someone with:

  • PhD in immunology or a related field with 6+ years of industry experience in drug discovery, target discovery, preclinical drug development, or translational drug development.
  • Experience drawing on human genetics, genome-scale multi-omics datasets, and other human data alongside cell biology, disease biology, and clinical findings to evaluate therapeutic hypotheses.
  • Strong scientific judgment and the ability to distinguish an interesting association from a credible therapeutic opportunity.
  • Clear communication skills and the ability to guide decisions across disciplines.
  • Curiosity, independence, and a willingness to challenge assumptions and revise recommendations as the evidence evolves.

 

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 $164,000-$205,000 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.

 

How we rate this

Principal Scientist, Target Discovery & Portfolio Strategy at Xaira Therapeutics rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ImmunologyDrug DiscoveryTarget DiscoveryGeneticsMulti Omics

Questions you could be asked

  1. Tell me about a project where immunology was part of your work. What did you do?
  2. Tell me about a project where drug discovery was part of your work. What did you do?
  3. Tell me about a project where target discovery was part of your work. What did you do?
  4. Tell me about a project where genetics was part of your work. What did you do?
  5. Tell me about a project where multi omics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Immunology, Drug Discovery, Target Discovery, Genetics, and Multi Omics. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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