Future Tech Jobs
Future Tech Jobs
Lead translational data science initiatives using human genetics and multi-omic data to inform drug discovery decisions. Develop reproducible analysis workflows, integrate diverse biological and clinical datasets, and collaborate across multidisciplinary teams. Mentor junior scientists and translate complex findings into actionable insights for target prioritisation, biomarker nomination, and patient subgroup definition.
This role involves building and managing cloud infrastructure and DevOps tooling to support AI-driven drug discovery. You'll work across research, development, and production environments using GCP, Kubernetes, and Infrastructure as Code, collaborating closely with scientists, ML researchers, and engineers. The focus is on creating scalable, secure, and automated systems that accelerate scientific innovation in a fast-moving, interdisciplinary environment.
Lead translational data science initiatives using genetics and multi-omics data to generate actionable insights for target identification, biomarker development, and patient selection. Design and deliver reproducible analytical pipelines, collaborate with cross-functional teams, and mentor junior scientists in a secure, regulated environment. Work at the intersection of biology, AI/ML, and clinical development to directly influence drug discovery and early clinical translation.
As a Security Engineering Manager, you will lead and scale a high-performing team responsible for securing Isomorphic Labs' AI-driven drug discovery platform. You'll define the technical security roadmap across cloud infrastructure, IAM, secure SDLC, and security monitoring, while enabling rapid innovation for ML researchers and drug discovery teams. The role involves pioneering AI-first security architectures, leading transformational projects, and acting as a key liaison within the Alphabet/Google ecosystem.
Lead the strategic direction and AI-driven innovation of Pfizer’s Targets and Mechanisms platforms, delivering scalable, science-centric digital solutions to accelerate drug discovery. Oversee a global team integrating advanced data technologies, AI, and predictive analytics across research units including Oncology, Vaccines, and Inflammation & Immunology. Shape translational biomarker frameworks and target identification strategies using large-scale omics, clinical data, and competitive intelligence to de-risk development and inform clinical decisions.
Leads the strategic direction and product management of AI-driven Targets and Mechanisms platforms within Pfizer’s R&D ecosystem. Oversees global teams delivering scalable, data-centric solutions that integrate omics, clinical data, and AI to identify and validate therapeutic targets across oncology, vaccines, and immunology. Drives innovation through advanced data pipelines, predictive analytics, and cross-functional collaboration with research and digital technology teams.
Leads clinical development for oncology assets, focusing on genitourinary (GU) cancers, with responsibility for designing and executing global Phase 1-3 trials. Works cross-functionally to generate clinical evidence, engage key external experts, and support regulatory submissions and product launches. Operates in a matrix environment across strategy, medical affairs, and regulatory teams.
This role involves leading clinical development for oncology therapeutics, specifically in genitourinary (GU) cancers, within a global matrix environment. The Senior Medical Director will design and execute Phase 1-3 clinical trials, ensure scientific integrity of study data, and engage with internal and external experts to advance GSK’s oncology portfolio. The position requires deep expertise in medical oncology, strong leadership in cross-functional teams, and active involvement in regulatory and strategic initiatives.
Lead translational data science initiatives using genetics and multi-omics data to generate actionable insights for target identification, biomarker development, and patient selection. Design and deliver robust, reproducible analytical pipelines while collaborating with cross-functional teams in discovery and clinical translation. Mentor scientists, operationalise AI/ML methods, and ensure compliance with data governance standards in a secure research environment.
Lead translational data science initiatives by analyzing genetics and multi-omics data to generate actionable insights for drug discovery and clinical development. Design and deliver reproducible analytical pipelines, collaborate with cross-functional teams including AI/ML and bioinformatics, and translate complex data into decisions for target identification and patient selection. Mentor scientists and contribute to strategic project discussions in a multidisciplinary environment focused on advancing precision medicine.
This is a general interest application for roles at Isomorphic Labs, an AI-driven drug discovery company. Candidates may be considered for positions including Software Engineers, ML Researchers, Computational Chemists, and Technical Project Managers. The role involves interdisciplinary collaboration to advance AI models for rational drug design and digital biology, within a culture emphasising curiosity, bravery, determination, and teamwork.
Leads clinical development strategy for oncology programs, translating AI-driven insights into actionable trial designs and serving as medical monitor. Collaborates with cross-functional teams to advance drug candidates from discovery through proof-of-concept, with responsibility for regulatory submissions and engagement with health authorities and key opinion leaders.
Leads the strategic direction and AI-driven innovation of Pfizer’s Targets and Mechanisms platforms, overseeing a global team to deliver scalable, data-centric solutions that support drug discovery and translational research. Integrates advanced technologies like AI, predictive analytics, and enterprise data systems to enhance target identification and preclinical decision-making across multiple therapeutic areas.
Leads the strategic direction and AI-driven innovation of Pfizer's Targets and Mechanisms platforms, overseeing a global team to deliver scalable, science-centric digital solutions for drug discovery. Focuses on integrating advanced technologies like AI, data pipelines, and predictive analytics to support target identification, translational research, and preclinical strategy across therapeutic areas. Works closely with R&D and digital teams to align technology roadmaps with research objectives and drive enterprise-scale delivery.
Leads clinical development for vascular programmes across early and late phases, shaping study designs and clinical development plans. Works cross-functionally with translational science, regulatory, and commercial teams to advance medicines for vascular disease, with a focus on patient impact and scientific innovation. Provides medical oversight, contributes to regulatory submissions, and guides decision-making in a matrix environment.
