26 results
Develop a quantitative single-molecule imaging platform for drug discovery with Steven F. Lee. The initial focus is alpha-synuclein aggregation in Parkinson’s disease. Responsibilities include assay development, higher-throughput compound screening, image-analysis pipelines and coordination with academic and commercial partners. The role also contributes to…
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Lead discovery of lipid nanoparticle systems that deliver RNA beyond the liver. The director coordinates lipid chemistry, formulation, protein design and bioconjugation with cell-based assays and animal studies. Responsibilities include translating delivery research across species, directing a research team and shaping scientific publications and…
Direct clinical development of zugocaptagene-geleucel for autoimmune disease. Responsibilities include early- and late-stage trial strategy, protocol design, medical monitoring, interpretation of safety and efficacy data, and mentoring clinical development leads. The director also contributes to regulatory submissions and scientific presentations. Based in…
Lead the medical and clinical development strategy for Beam’s metabolic disease franchise. The role shapes clinical plans and study protocols for base editing therapies, oversees ongoing trials and patient safety, and coordinates clinical and regulatory strategy. Responsibilities include mentoring physicians and clinical scientists and working with research…
Provide scientific and operational pharmacovigilance support for Beam’s therapeutic portfolio. Responsibilities span review of individual and cumulative safety data, signal assessment, risk management, aggregate safety reports and collaboration with clinical development teams. The director also oversees safety vendors and contributes to clinical and…
A January–June 2027 placement with the Biotherapeutics Discovery team in Cambridge, Massachusetts. Work focuses on evaluating and improving therapeutic antibodies and VHH candidates through binding, biophysical and cell-based assays. Activities include protein production and purification, mammalian cell culture, ELISA, Octet measurements, size-exclusion…
Support clinical development of gene and base editing therapies through pharmacokinetic, pharmacodynamic and quantitative systems models. The role connects nonclinical and clinical analyses to study design, regulatory documents and programme decisions, and helps develop the clinical pharmacology function. It can emphasise pharmacometrics or combine…
The Kumar Lab in the Department of Otolaryngology at Washington University in St. Louis runs an NIH-funded program on the cortical cellular and circuit mechanisms behind hearing difficulty in noisy environments after noise-induced hearing loss, integrating systems neuroscience, genetics, pharmacology and computational approaches. Methods include in vivo…
Develop precision-oncology target hypotheses from large-scale multiomic datasets. The role builds target-validation evidence and early patient-population strategies, connects novel analyses with reusable discovery methods, and collaborates with biologists, medicinal chemists and translational teams.
Integrate phenomic, transcriptomic, genomic and proteomic data to nominate targets and validate immunology and inflammatory-disease hypotheses. Work includes target evidence packages, early patient-population strategies and mechanism-of-action analysis in collaboration with experimental and computational drug-discovery teams.
Advance AI research and end-to-end applications across therapeutic discovery, design and translation. The role connects large-scale cellular measurements with real-world biomedical data to develop models that link virtual cells and patients, collaborating with scientists, engineers and drug-discovery teams.
Develop, optimise and validate cell-based and biochemical assays for automated high-throughput drug discovery. Work includes running assays at scale, monitoring quality, troubleshooting systems, analysing experimental data and documenting transferable workflows with biologists, automation specialists and data teams.
Lead clinical pharmacology and pharmacometric strategy for rare-disease and oncology programmes. Responsibilities include modelling and simulation, Phase 1–3 study design, regulatory documentation and health-authority interactions, working with clinical, translational and preclinical teams.
Lead chemical biology and drug design connecting multiomic discovery to target identification. The team develops chemical probes and emerging modalities, including targeted degradation and molecular glues, and integrates experimental chemistry with computational and generative design while managing scientific programmes and external partners.
Lead computational biology for early therapeutic discovery, combining large-scale biological datasets with target identification and disease hypotheses. The role works across experimental biology, chemistry, translational science and data teams to turn computational findings into evidence for drug programmes.
Connect therapeutic-antibody discovery with computational design. The scientist develops and validates rational antibody designs, structures experimental data to improve models, and collaborates with wet-lab and machine-learning teams on humanisation, affinity, specificity and developability.
Drive peptide drug programmes through rapid design, synthesis and testing cycles linked to machine-learning models. Work includes automated peptide synthesis, structure–activity analysis, assay interpretation, ADMET optimisation and cross-functional collaboration, with mentoring and management of external research partners.
Shape drug metabolism and pharmacokinetics strategy across therapeutic discovery programmes. This individual-contributor role designs and interprets in-vitro and in-vivo studies, guides candidate selection, oversees external research partners and contributes DMPK evidence to regulatory documents and cross-functional decisions.
Lead peptide drug discovery from hit optimisation to development candidates. The role combines peptide chemistry, machine-learning-guided design, cross-functional programme leadership and mentoring, working with DMPK, toxicology, CMC and clinical teams to advance oral peptide therapeutics.
Develop generative and foundation models to design and assess linear and circular mRNA therapeutics. Work includes large-scale pretraining, model finetuning, hyperparameter optimisation and evaluation against experimental data. The project targets vaccine stability, unwanted immune responses and development speed for infectious-disease and cancer…
Design, synthesise and purify compounds for potential clinical drug development in Amgen’s medicinal-chemistry group. The role includes difficult organic synthesis, route development, structure–activity relationships and structural analysis by NMR and mass spectrometry. Work may involve the Induced Proximity Platform and PROTAC approaches. This is an…
Research models that connect chemical structures, protein sequences and cellular transcriptomics to predict biological responses. Develop and test scientific hypotheses using large single-cell perturbation datasets, contributing new architectures and evaluations for drug discovery. The employer lists the role as on-site with at least three office days each…
Build and scale foundation models for single-cell biology and drug discovery using large perturbation datasets, including Tahoe-100M. Work focuses on distributed training, model performance and dependable research infrastructure that helps connect gene-regulatory patterns to cellular responses. The role is listed as on-site and requires at least three days…
Develop biochemical and cellular assay strategies for drug-discovery programmes, connecting experimental pharmacology with AI-generated hypotheses. Responsibilities include target validation, screening cascades, functional assays and biophysical measurements, with emphasis on oncology and immunology. Lead external experimental work and collaborate across…