Clinical Translational Scientist

Valius Sciences•Boston, MA

1d•Hybrid

About The Position

Valius is building the next generation of precision oncology, helping cancer patients and their physicians make more informed treatment decisions through comprehensive molecular testing and rigorous scientific analysis. We are looking for folks passionate about changing cancer care to join our growing team. This is a non-traditional translational scientist role: you’ll operate at the intersection of oncology, molecular genomics, and clinical evidence interpretation, delivering high-trust guidance that is scientifically rigorous, clinically grounded, and compassionate. This role will be expected to work out of our beautiful San Francisco office four days a week.

Requirements

Strong oncology fluency across modalities and tumor types
A deep understanding of the oncology therapeutic landscape
Expert ability to interpret clinical trial evidence and apply it to real-world patient contexts
Exceptional communication skills with patients, clinicians, and scientists across disciplines
Advanced degree or equivalent experience in a relevant discipline (with substantial oncology experience). An exceptional fit may be considered even in the absence of an advanced degree
Deep understanding of oncology therapeutics (targeted therapy, immuno-oncology, ADCs, resistance, sequencing, tumor-type nuance)
Demonstrated strength interpreting clinical trial evidence and explaining clinical relevance (including biomarker subgroups)
Ability to reason from molecular data to therapy hypotheses while respecting evidence strength, contraindications, and real-world practice patterns
Excellent written and verbal communication; ability to present confidently to clinicians and speak clearly with patients
Comfort working in a high-stakes, client-facing setting
Comfort working with ambiguity and evolving evidence in fast-moving therapeutic areas
Commitment to our patient-focused mission
Interest in working for a small, early-stage startup

Responsibilities

Develop treatment strategies: Prioritize SOC, trials, and other therapeutic options (including off-label/expanded access when appropriate) based on patient molecular data.
Interpret evidence with rigor: Synthesize trial data, biomarker subgroup performance, design limitations, and real-world feasibility to evaluate therapeutic options; communicate uncertainty transparently with patients.
Partner with computational biology: Work with our computational biologists to integrate and synthesize patient molecular data (tissue/liquid; variants, expression, scRNAseq, IHC/mIF as relevant).
Collaborate internally: Work with clinical, scientific, and product teams to deliver expert analysis to our patients and help develop Valius’s scientific offering.
Contribute to internal knowledge bases: Draft therapy/biomarker evidence summaries, indication briefs, trial digests, and interpretation playbooks for use by the scientific team.