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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing biomarker strategies for late-stage oncology assets, with a strong background in oncology clinical biomarkers and translational research. Proficient in managing cross-functional teams and executing clinical biomarker plans while ensuring alignment with regulatory strategies.
Highest-signal resume keywords
Ph.D. Or EquivalentOncology Clinical BiomarkersLate-Phase Oncology StudiesTranslational ResearchFlow Cytometry
ATS Keywords
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Hard Skills
Drug Development ExperienceClinical Trials ExecutionBiomarker Plan DesignHigh-Dimensional Dataset AnalysisGenomic AnalysisTranscriptomic AnalysisProteomic AnalysisRegulated Biomarker AssaysPatient StratificationMechanism Of Resistance
Soft Skills
Interpersonal SkillsCommunication SkillsProblem-Solving SkillsProject Management SkillsPresentation Skills
Tools & Technologies
NGSFISHPCRIHC/IFLiquid Biopsy/CtDNAAI/ML-Enabled Biomarker AnalysesDigital Pathology
Industry Keywords
Translational MedicineClinical DevelopmentBiomarker Matrix TeamsTherapeutic LandscapesSolid Tumor MalignanciesHaematological MalignanciesDecision-Enabling Evidence PackagesScientific ExchangeExternal Scientific PartnershipsClinical Study Designs
About the role
Key responsibilities & impact- Develop and implement biomarker and translational medicine strategies for late-stage oncology assets
- Collaborate with the Clinical Biomarker Executive Director to establish decision-making criteria and patient segmentation strategies
- Validate and implement target engagement, pharmacodynamic, and proof-of-mechanism biomarkers
- Support patient stratification, dose selection, and clinical go/no-go decisions
- Participate in tumor-specific Biomarker Matrix teams and execute clinical biomarker strategies
- Represent Translational Medicine on Clinical Development Matrix Teams and integrate biomarker criteria into clinical study designs
- Define biomarker priorities and generate decision-enabling evidence packages using real-world, internal, and external data
- Identify scientific and technological advances for indication selection, patient enrichment, and combination strategies
- Oversee or develop sample testing plans and deliver biomarker data packages for clinical development and regulatory strategies
- Manage relationships with clinical and scientific operations, diagnostics, medical science, medical affairs, regulatory, portfolio management, and commercial functions
- Support mechanism and disease understanding for indication expansion and scientific exchange
- Define and study mechanisms of resistance to inform next-line strategies, patient enrichment, and asset life-cycle management
- Contribute to scientific credibility through publications and presentations
Requirements
What you’ll need- Ph.D. or equivalent with 7+ years of drug development experience in the pharmaceutical industry, or M.Sc. with 10+ years of drug development experience
- Solid background in oncology clinical biomarkers
- Expertise in late-phase oncology studies and translational research within clinical development
- Strong expertise in cancer biology and clinical development
- Knowledge of therapeutic landscapes, approved and investigational agents, and diagnostic approaches in solid tumor and haematological malignancies
- Experience leading cross-functional teams
- Experience designing and executing strategic biomarker plans, including regulated biomarker assays
- Experience conducting clinical trials and working as part of clinical study teams
- Experience designing and executing translational biomarker plans for clinical trials
- Experience collaborating with Data Sciences to analyze high-dimensional preclinical and clinical data
- Hands-on experience with flow cytometry, NGS, FISH, PCR, IHC/IF, liquid biopsy/ctDNA, and multi-omic biomarker analyses
- Experience translating preclinical research to human clinical trials using genomic, transcriptomic, and proteomic analyses
- Track record of influencing teams and key leaders
- M.D., Ph.D. or equivalent doctoral degree in a relevant scientific discipline would be advantageous
- Experience with high-dimensional dataset analysis, diagnostic development, regulatory interactions, digital pathology, AI/ML-enabled biomarker analyses, external scientific partnerships, and mentoring scientific colleagues would be advantageous
- Excellent prioritization, planning, timely execution, interpersonal, communication, problem-solving, project-management, and presentation skills
Benefits
Comp & perks- Annual bonus
- Eligibility to participate in share-based long-term incentive program
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave
- Comprehensive benefits program
