About the Company
Bios Life is developing next-generation cancer surveillance technology that modernizes and scales long-term cancer follow-up care. We integrate evidence-based clinical frameworks, technology-enabled workflows, and diagnostics into accessible, high-quality screening and survivorship models. The company is based in Cambridge, Ma with an office in the UK.
About the Role
Bios Life is seeking a Director, Biomarker Platform to lead the strategy, development, and evolution of our Clinical and Research Biomarker platforms.
This is a highly interdisciplinary role at the intersection of cancer biology, biomarker science, artificial intelligence, clinical medicine, and product development. The Director will serve as the lead architect of Bios Life's biomarker strategy, helping determine which biomarkers and combinations of biomarkers have the greatest potential to advance our clinical, research, and product objectives.
Working closely with Medical, AI, Product, and other scientific and technical teams, this leader will continuously evaluate the evolving scientific and medical evidence base across multiple biomarker modalities and translate those insights into a clear and dynamic biomarker prioritization framework.
The Director will bring deep expertise in the molecular biology of cancer as well as hands-on knowledge across multiple biomarker modalities, including transcriptomics, proteomics, circulating tumor DNA (ctDNA), and fragmentomics. Equally important, this individual will understand how AI and multi-modal datasets can be used to integrate complex biological signals, identify meaningful patterns, and support the development of differentiated clinical and research applications.
This is an opportunity for a scientifically rigorous and strategically minded leader to build a foundational capability for Bios Life and help shape how biomarker science is translated into meaningful solutions for cancer screening, surveillance, survivorship, and care.
What You Will Own
Biomarker Platform Strategy
Serve as the lead architect of Bios Life's Clinical and Research Biomarker platforms and overall biomarker strategy.
Develop and maintain a comprehensive view of the biomarker landscape across relevant cancer types, clinical applications, technologies, and modalities.
Establish the scientific and strategic framework Bios Life uses to identify, evaluate, compare, and prioritize promising biomarkers.
Ensure biomarker priorities remain aligned with Bios Life's broader clinical, research, platform, and product strategies.
Identify emerging scientific and technological developments that could create new opportunities or materially change existing biomarker priorities.
Help define where Bios Life should develop proprietary capabilities versus partner with, license, or integrate external technologies.
Biomarker Identification & Prioritization
Lead the identification and evaluation of promising biomarkers across multiple modalities, including transcriptomics, proteomics, ctDNA, fragmentomics, and other emerging approaches.
Develop and maintain a dynamic biomarker prioritization framework grounded in scientific evidence, clinical relevance, technical feasibility, and strategic value.
Continuously review scientific literature, clinical evidence, emerging datasets, and advances in cancer biology to ensure Bios Life's biomarker strategy reflects the evolving state of the field.
Assess biomarkers individually and in combination, with particular focus on opportunities created through multi-modal approaches.
Evaluate potential biomarkers through both a scientific and translational lens, considering their ability to contribute meaningfully to clinical applications and future products.
Clearly communicate the rationale, evidence, limitations, and uncertainties associated with biomarker prioritization decisions.
Multi-Omics & AI Integration
Partner closely with AI and data science teams to integrate biomarker data across multiple biological modalities.
Help define the scientific requirements and biological context necessary for the development of AI-driven biomarker models and applications.
Guide the interpretation of complex multi-modal datasets and ensure computational findings remain grounded in biological and clinical relevance.
Identify opportunities where combining molecular, clinical, and other data modalities could generate stronger signals or differentiated insights.
Partner with AI teams in the evaluation and validation of candidate biomarkers, signatures, and models.
Help bridge the disciplines of experimental biology, computational science, and clinical medicine so that insights generated through AI can be effectively translated into meaningful applications.
Clinical & Translational Strategy
Partner with Medical leadership to evaluate the clinical relevance and potential utility of biomarkers across Bios Life's areas of focus.
Help translate biomarker discoveries and emerging scientific evidence into potential clinical applications.
Contribute to strategies for analytical and clinical validation as biomarker concepts progress toward clinical use.
Evaluate the strength of evidence supporting potential applications and identify gaps requiring additional research or validation.
Provide scientific leadership in determining when biomarker opportunities are sufficiently mature to progress into product development.
Ensure biomarker strategy considers real-world clinical workflows, patient populations, intended use, and potential impact on clinical decision-making.
Product & Platform Partnership
Work closely with Product leadership to translate biomarker science into clear platform and product opportunities.
Provide scientific input into product roadmaps where biomarker capabilities are foundational to the solution.
Help Product teams understand the maturity, limitations, dependencies, and development requirements associated with potential biomarker applications.
Evaluate how emerging biomarkers and technologies could strengthen existing Bios Life offerings or create entirely new product opportunities.
Ensure that biomarker development is driven not only by scientific promise, but also by clinical relevance and alignment with Bios Life's broader strategy.
Scientific Leadership & External Landscape
Serve as an internal subject matter expert on cancer biomarkers and the evolving multi-omics landscape.
Monitor emerging research, technologies, competitors, academic developments, and industry trends relevant to Bios Life's biomarker strategy.
Develop relationships with external scientific and clinical experts where appropriate to strengthen Bios Life's capabilities and perspective.
Evaluate potential scientific collaborations, technologies, datasets, and partnerships.
Represent Bios Life's biomarker strategy in scientific and strategic discussions with external partners as appropriate.
Bring scientific rigor and disciplined decision-making to an area where the evidence base and technology landscape are evolving rapidly.
Ideal Candidate Profile
The ideal candidate is a highly accomplished biomarker scientist and strategic thinker with deep expertise in the molecular biology of cancer and significant experience working across multiple biomarker and data modalities.
This individual should be comfortable operating at the intersection of biology, medicine, data science, and product strategy. They should be able to move fluidly between evaluating emerging scientific evidence, interrogating complex datasets, engaging with AI and computational teams, and helping senior leaders determine which scientific opportunities Bios Life should pursue.
The successful candidate will bring:
Advanced scientific training, typically a PhD, MD, MD/PhD, or equivalent experience in molecular biology, cancer biology, genomics, computational biology, translational medicine, or a related field.
Deep understanding of the molecular biology of cancer and the biological mechanisms underlying cancer development, progression, detection, and recurrence.
Significant experience in biomarker discovery, development, evaluation, and/or translation within oncology.
Demonstrated expertise across multiple biomarker modalities, including transcriptomics, proteomics, ctDNA, and fragmentomics.
Experience working with AI, machine learning, and/or computational approaches applied to complex biological or clinical datasets.
Demonstrated experience working with multi-modal datasets and integrating signals across different biological and clinical data types.
Strong understanding of the scientific and clinical evidence required to move biomarkers from promising research findings toward meaningful clinical applications.
Experience in histopathology, digital pathology, and/or imaging analysis is a plus.
Ability to critically evaluate scientific evidence and distinguish compelling biological signals from findings that require further validation.
Experience working cross-functionally with Medical, AI/Data Science, Product, Clinical, Engineering, and other scientific or technical teams.
Strong strategic judgment and the ability to prioritize among multiple scientifically compelling opportunities based on clinical relevance, evidence, feasibility, and organizational strategy.
Exceptional scientific communication skills, including the ability to translate highly complex biological concepts for technical and non-technical audiences.
Comfort operating in a fast-moving environment where the science, technology, and business strategy will continue to evolve.
Above all, this person should combine deep scientific credibility with exceptional strategic judgment. Bios Life needs a leader who can look across a rapidly expanding universe of cancer biomarkers and technologies, determine which signals truly matter, and build the scientific framework that enables the organization to translate those insights into differentiated clinical and research capabilities.