Remote | ADC & Bispecific Antibody R&D Scientist
New York City, Richmond County, New York, USA
Listed on 2026-08-26
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Research/Development
Research Scientist, Pharmaceutical Science/ Research, Biotech Research, Drug Discovery
Specialised Part-Time Consulting Opportunity
We are sharing a specialised part-time consulting opportunity for experienced preclinical R&D scientists with hands-on expertise in antibody-drug conjugates (ADCs), bispecific or multispecific antibodies, and in-house drug development.
This role supports a research initiative focused on improving how advanced computational systems reason about real-world biologics discovery and preclinical development. Selected experts will review scientific materials and programme data, evaluate technical outputs, contribute practical judgement on modality and development decisions, and help define high-quality data structures grounded in authentic ADC and bispecific R&D workflows.
Key ResponsibilitiesADC & Bispecific Programme Review
- Review technical materials and scientific data from ADC, bispecific, and multispecific antibody programmes
- Evaluate whether analyses and conclusions reflect realistic preclinical development practice
- Identify weak assumptions, unsupported claims, and biologically implausible outputs
- Apply hands-on programme experience to complex development scenarios
- Assess trade-offs involving efficacy, safety, develop ability, manufacturability, and programme risk
Target & Modality Strategy
- Evaluate target-selection and modality-selection decisions
- Assess biological rationale, therapeutic hypothesis, and competitive differentiation
- Review trade-offs between ADC, bispecific, multispecific, and other biologic approaches
- Identify risks associated with target biology, expression patterns, mechanism of action, or therapeutic window
- Apply practical judgement to programme progression and prioritisation decisions
ADC Development
- Contribute expertise across antibody selection, linker strategy, payload choice, conjugation, and overall ADC design
- Evaluate potency, selectivity, internalisation, stability, exposure, and toxicity considerations
- Review development decisions affecting efficacy and therapeutic index
- Assess preclinical evidence supporting candidate progression
- Identify common failure modes and optimisation challenges in ADC programmes
Bispecific & Multispecific Antibodies
- Review programmes involving bispecific or multispecific antibody architectures
- Evaluate target combinations, binding strategy, format selection, and functional activity
- Assess develop ability, PK/PD, immunogenicity, safety, and manufacturability considerations
- Review translational evidence and candidate-selection decisions
- Identify modality-specific risks that may affect progression toward the clinic
Preclinical & Translational Development
- Apply experience across in vitro, in vivo, translational, pharmacology, and PK/PD workflows
- Evaluate experimental design and interpretation of preclinical evidence
- Assess how findings influence candidate optimisation and development strategy
- Review programme readiness for lead optimisation or IND-enabling development
- Identify evidence gaps, unresolved risks, and appropriate next-stage studies
Cross-Functional R&D Expertise
- Contribute expertise from areas such as:
- Discovery biology
- Medicinal chemistry
- Protein and antibody engineering
- Computational drug discovery
- In vivo and translational research
- Pharmacology and PK/PD
- Toxicology
- CMC and formulation
- Apply cross-functional judgement to integrated programme decisions
- Evaluate how findings from different disciplines affect candidate selection and development
Scientific Data Evaluation
- Label, classify, and annotate scientific data and technical outputs
- Identify meaningful experimental signals, development decisions, and failure modes
- Evaluate the relevance and quality of information used in downstream research workflows
- Help establish consistent standards for scientific review and annotation
- Translate practical R&D expertise into structured, usable data
Dataset & Research Development
- Help define structure and quality standards for scientific data pipelines
- Identify which experimental and development variables should be captured
- Surface workflow details that are often missed outside hands-on preclinical R&D
- Participate in expert discussions, interviews, and research engagements
- Provide practical perspective on how biologics programmes are advanced in industry
- 5+ years of relevant pharmaceutical or biotechnology R&D experience, with flexibility for candidates demonstrating exceptional technical depth
- Hands-on, non-administrative preclinical R&D experience within a company developing its own therapeutic assets
- Direct professional experience with ADCs and/or bispecific or multispecific antibodies
- Experience at an organisation that has advanced internal drug programmes toward or into clinical development
- Current or recent work in a core R&D function such as discovery biology, medicinal chemistry, protein or antibody engineering, computational discovery, translational science, pharmacology, PK/PD, toxicology, or CMC
- Strong understanding of biologics discovery, optimisation, and preclinical development
- Experience advancing a programme through lead optimisation,…
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