Follow the evidence
Make sources, assumptions, and uncertainty visible. A useful objection matters more than an easy agreement.
JOIN US / BUILD WITH PURPOSE
Bring your expertise.
Make the reasoning better.
Help turn complex oncology evidence into decisions people can examine, challenge, and use. We welcome people who connect clinical depth with technical craft and commercial judgment.
Explore our talent directionsHOW WE WANT TO BUILD
Work across disciplines
Connect clinical context, engineering choices, and sponsor needs. Be willing to explain your reasoning to someone outside your field.
Make the work usable
Build a reproducible analysis, a clear interface, or a better decision brief—not another layer of complexity.
TALENT & COLLABORATION
Different skills. A shared standard of rigor.
These are areas of long-term interest, not a list of confirmed open vacancies. Specific opportunities and engagement terms are discussed individually.
RESEARCHClinical Intelligence & Research
Turn trial, treatment-pathway, and competitive evidence into a coherent development question.Expressions of interest
Problems you could work on
- Structure public trial and literature evidence, retaining source dates and context.
- Compare country, cohort, and site assumptions; explain gaps and conflicting signals.
Experience we would value
Oncology research, clinical development, epidemiology, or life-sciences intelligence; clear analytical writing and careful source evaluation.
CLINICALOncology & Medical Review
Challenge the clinical assumptions behind an apparently convincing answer.Expressions of interest
Problems you could work on
- Review cohort definitions, treatment lines, biomarkers, and testing-pathway assumptions.
- Identify where the interpretation needs additional clinical evidence or specialist review.
Experience we would value
Relevant clinical or translational oncology experience and sound judgment about evidence limits. Project-specific advisory collaboration can be discussed.
ENGINEERINGData & Evidence Engineering
Build the traceable foundations that make an analysis reproducible.Expressions of interest
Problems you could work on
- Develop ingestion, normalization, entity resolution, and data-quality checks.
- Preserve provenance, version history, and permitted-use boundaries throughout the pipeline.
Experience we would value
Python, SQL, data modeling, and reliable pipelines; experience with messy scientific or healthcare data is useful.
ENGINEERINGApplied AI & Evaluation
Make evidence retrieval and synthesis more useful—and easier to test.Expressions of interest
Problems you could work on
- Explore source-grounded retrieval, structured extraction, and human-review workflows.
- Build evaluation sets and investigate unsupported claims, missed evidence, and failure cases.
Experience we would value
Applied machine learning or LLM engineering, evaluation design, and an interest in verifiable systems rather than impressive-looking outputs.
PRODUCTProduct Engineering & Design
Give complex reasoning an interface that people can actually use.Expressions of interest
Problems you could work on
- Design evidence exploration, comparison, and review interactions around real user questions.
- Build accessible interfaces and test whether users understand the decision and its limitations.
Experience we would value
Product design, frontend or full-stack engineering; work samples that show clear information architecture and attention to detail.
STRATEGYGlobal Development & Partnerships
Translate a sponsor conversation into a focused, testable engagement.Expressions of interest
Problems you could work on
- Understand cross-border development questions and clarify the scope of a potential pilot.
- Develop thoughtful sponsor, CRO, and expert conversations with accurate follow-through.
Experience we would value
Biotech strategy, business development, or clinical-service experience; strong writing and cross-cultural communication. Chinese–English fluency is valuable.
START A CONVERSATION
No exact title? A good question is enough.
Tell us where your experience could make the work stronger. An introduction is welcome even if your background spans several directions.
- A short introduction and your area of interest
- A CV, profile, or non-confidential work sample
- Availability and your preferred way to collaborate
Role scope, location, time commitment, and compensation are subject to a specific opportunity and mutual agreement.
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