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Remote | ADC & Bispecific Antibody R&D Scientist

Remote / Online - Candidates ideally in
New York City, Richmond County, New York, USA
Listing for: 24-MAG LLC
Part Time, Remote/Work from Home position
Listed on 2026-08-26
Job specializations:
  • Research/Development
    Research Scientist, Pharmaceutical Science/ Research, Biotech Research, Drug Discovery
Salary/Wage Range or Industry Benchmark: 50 - 90 USD Hourly USD 50.00 90.00 HOUR
Job Description & How to Apply Below
Position: Remote | ADC & Bispecific Antibody R&D Scientist — $50–$90/hour

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 Responsibilities

ADC & 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
Ideal Profile
  • 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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