Aqemia
City, London
About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. About the team you'll join As Principal Computational Chemist, you'll lead the development of cutting-edge computational chemistry pipelines within Aq's Drug Discovery Platform. Collaborating with computational chemists, AI researchers, and drug discovery experts, you'll integrate innovations to accelerate novel therapeutic discovery. About the Role We are seeking a Principal Computational Chemist, the most senior individual contributor rank at Aqemia. This role is designed for a scientist at the state of the art of their field, with deep expertise and a strong track record of impactful contributions. The Principal Computational Chemist will oversee complex scientific projects, mentor scientists, and actively shape our scientific roadmap. This means you will: Be a Technical Leader - Drive the development of cutting-edge computational chemistry methodologies for molecular modeling and drug discovery. Mentor and Support the Team - Act as a scientific and technical mentor to junior and mid-level researchers, fostering innovation and knowledge-sharing within the team. Bridge Research and Application - Work closely with interdisciplinary teams (computational chemistry, AI and drug discovery experts) to translate computational chemistry research into real-world impact. Your Role Lead research initiatives to develop and apply novel computational chemistry methods to virtual screening, hit optimisation and lead optimisation. Design and implement advanced computational chemistry techniques, including protein ligand complex generation. Collaborate with interdisciplinary teams, including computational chemists, AI Research scientists, physicists, data scientists and medicinal chemists. Mentor and guide junior researchers and engineers, fostering a culture of scientific innovation and excellence. Polite note: this position does not involve manual compound design in Drug Discovery Programs. Your Profile PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field. Extensive experience (10+ years) in computational chemistry and drug discovery including 5 years in the drug discovery industry. Recognised expertise in molecular modeling, complex generation, protein-ligand interactions, free energy calculations, virtual screening, ADME properties and related areas. Strong knowledge of uncertainty quantification and its application in molecular design. Proven ability to deliver impactful scientific contributions at the forefront of the field. Experience mentoring and guiding scientists in a collaborative, high-performance environment. Proficiency in programming (e.g., Python) and experience with industry-standard computational chemistry tools. Strong problem-solving skills, autonomy and a collaborative mindset. Preferred Mindset Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability. Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise. Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery. Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment. Humility - Open to feedback and different perspectives, always striving for improvement. Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs. You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models. Real-World Impact Every feature shipped helps scientists prioritize molecules and design better candidates, faster. Modern Stack & Challenges Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale. High Ownership, High Impact Engineers contribute to architecture, tooling, and scientific decision-making. Interdisciplinary Team Collaborate with chemists, physicists, ML researchers, and product teams. Prime Locations Central Paris or London offices, with 2 remote days/week. Strategic Traction Backed by $100M in funding and a $140M partnership with Sanofi. Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. About the team you'll join As Principal Computational Chemist, you'll lead the development of cutting-edge computational chemistry pipelines within Aq's Drug Discovery Platform. Collaborating with computational chemists, AI researchers, and drug discovery experts, you'll integrate innovations to accelerate novel therapeutic discovery. About the Role We are seeking a Principal Computational Chemist, the most senior individual contributor rank at Aqemia. This role is designed for a scientist at the state of the art of their field, with deep expertise and a strong track record of impactful contributions. The Principal Computational Chemist will oversee complex scientific projects, mentor scientists, and actively shape our scientific roadmap. This means you will: Be a Technical Leader - Drive the development of cutting-edge computational chemistry methodologies for molecular modeling and drug discovery. Mentor and Support the Team - Act as a scientific and technical mentor to junior and mid-level researchers, fostering innovation and knowledge-sharing within the team. Bridge Research and Application - Work closely with interdisciplinary teams (computational chemistry, AI and drug discovery experts) to translate computational chemistry research into real-world impact. Your Role Lead research initiatives to develop and apply novel computational chemistry methods to virtual screening, hit optimisation and lead optimisation. Design and implement advanced computational chemistry techniques, including protein ligand complex generation. Collaborate with interdisciplinary teams, including computational chemists, AI Research scientists, physicists, data scientists and medicinal chemists. Mentor and guide junior researchers and engineers, fostering a culture of scientific innovation and excellence. Polite note: this position does not involve manual compound design in Drug Discovery Programs. Your Profile PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field. Extensive experience (10+ years) in computational chemistry and drug discovery including 5 years in the drug discovery industry. Recognised expertise in molecular modeling, complex generation, protein-ligand interactions, free energy calculations, virtual screening, ADME properties and related areas. Strong knowledge of uncertainty quantification and its application in molecular design. Proven ability to deliver impactful scientific contributions at the forefront of the field. Experience mentoring and guiding scientists in a collaborative, high-performance environment. Proficiency in programming (e.g., Python) and experience with industry-standard computational chemistry tools. Strong problem-solving skills, autonomy and a collaborative mindset. Preferred Mindset Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability. Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise. Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery. Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment. Humility - Open to feedback and different perspectives, always striving for improvement. Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs. You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models. Real-World Impact Every feature shipped helps scientists prioritize molecules and design better candidates, faster. Modern Stack & Challenges Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale. High Ownership, High Impact Engineers contribute to architecture, tooling, and scientific decision-making. Interdisciplinary Team Collaborate with chemists, physicists, ML researchers, and product teams. Prime Locations Central Paris or London offices, with 2 remote days/week. Strategic Traction Backed by $100M in funding and a $140M partnership with Sanofi. Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Jazz Pharmaceuticals
Cambridge, Cambridgeshire
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Job Role: We are looking for dynamic, creative, and talented computational chemist to join our expanding Discovery & Medicinal Chemistry Department. Reporting to the Director of Medicinal Chemistry, you will apply your expertise, leadership and guidance to discover and develop novel small-molecule therapeutic agents. You will be working within a patient-focused, science-driven, and multi-disciplinary biopharmaceutical environment, covering all stages of the drug discovery process. You will collaborate with scientists from other disciplines within Jazz Pharmaceuticals and with external collaborators to build an innovative portfolio of therapeutics across our exciting and growing oncology and neuroscience pipelines. Working at the forefront of drug discovery you will advance projects from target selection to preclinical drug candidates and FiH trials, and contribute to the growth of the medicinal chemistry team. Key Responsibilities: Utilize modern molecular modelling methods to support different stages of R&D programs. Collaborate effectively with other departments and functions to advance research discovery projects expeditiously from hit identification to high quality preclinical candidates. Design, lead and drive computational studies on projects throughout the several discovery phases and ensure execution on agreed deliverables. Opportunities to lead or co-lead projects in addition to drive discipline-specific endeavours. Set the vision and strategy for computational chemistry. Foster innovative thinking in all areas of departmental activities, with a particular focus on computational and medicinal chemistry. Manage CRO compchem activities, providing expertise and guidance. Present plans and results internally, including at board level, and externally at conferences. Contribute to the writing of patent applications, scientific publications, and internal reports. Develop and mentor less experienced staff. Keep up to date with the latest scientific advances and trends in drug discovery to deliver the next-generation therapies. Undertake ongoing professional development by attending relevant training and conferences. Requirements & Qualifications: MSc/PhD in a relevant scientific discipline (Pharmaceutical Sciences, Chemistry, Computational Chemistry) with a solid foundation in molecular modelling built in a pharma/biotech/CRO setting. Expert knowledge in CADD software packages and modern molecular modelling techniques. Sound knowledge in cutting-edge cheminformatic tools, AI/ML-enabled technologies, and in silico drug design, including both structure- and ligand-based methodologies. Passion for drug discovery with a deep entrepreneurial and problem-solving attitude. Mastery of all the theoretical and practical principles of medicinal chemistry and drug design. Broad knowledge of biophysical, biochemical, and cell-based assays used in the early stages of the drug discovery process. In depth understanding of multi-parameter optimization and ability to integrate disease biology, ADME/DMPK and toxicology data to solve complex drug discovery problems. Excellent leadership, management, organizational and team-working skills, and a talent to deliver project milestones within the expected time frame. Demonstrated track record of scientific publications. Exceptional oral, written, and interpersonal communication skills, and ability to develop and grow strong cross-functional collaborations. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Job Role: We are looking for dynamic, creative, and talented computational chemist to join our expanding Discovery & Medicinal Chemistry Department. Reporting to the Director of Medicinal Chemistry, you will apply your expertise, leadership and guidance to discover and develop novel small-molecule therapeutic agents. You will be working within a patient-focused, science-driven, and multi-disciplinary biopharmaceutical environment, covering all stages of the drug discovery process. You will collaborate with scientists from other disciplines within Jazz Pharmaceuticals and with external collaborators to build an innovative portfolio of therapeutics across our exciting and growing oncology and neuroscience pipelines. Working at the forefront of drug discovery you will advance projects from target selection to preclinical drug candidates and FiH trials, and contribute to the growth of the medicinal chemistry team. Key Responsibilities: Utilize modern molecular modelling methods to support different stages of R&D programs. Collaborate effectively with other departments and functions to advance research discovery projects expeditiously from hit identification to high quality preclinical candidates. Design, lead and drive computational studies on projects throughout the several discovery phases and ensure execution on agreed deliverables. Opportunities to lead or co-lead projects in addition to drive discipline-specific endeavours. Set the vision and strategy for computational chemistry. Foster innovative thinking in all areas of departmental activities, with a particular focus on computational and medicinal chemistry. Manage CRO compchem activities, providing expertise and guidance. Present plans and results internally, including at board level, and externally at conferences. Contribute to the writing of patent applications, scientific publications, and internal reports. Develop and mentor less experienced staff. Keep up to date with the latest scientific advances and trends in drug discovery to deliver the next-generation therapies. Undertake ongoing professional development by attending relevant training and conferences. Requirements & Qualifications: MSc/PhD in a relevant scientific discipline (Pharmaceutical Sciences, Chemistry, Computational Chemistry) with a solid foundation in molecular modelling built in a pharma/biotech/CRO setting. Expert knowledge in CADD software packages and modern molecular modelling techniques. Sound knowledge in cutting-edge cheminformatic tools, AI/ML-enabled technologies, and in silico drug design, including both structure- and ligand-based methodologies. Passion for drug discovery with a deep entrepreneurial and problem-solving attitude. Mastery of all the theoretical and practical principles of medicinal chemistry and drug design. Broad knowledge of biophysical, biochemical, and cell-based assays used in the early stages of the drug discovery process. In depth understanding of multi-parameter optimization and ability to integrate disease biology, ADME/DMPK and toxicology data to solve complex drug discovery problems. Excellent leadership, management, organizational and team-working skills, and a talent to deliver project milestones within the expected time frame. Demonstrated track record of scientific publications. Exceptional oral, written, and interpersonal communication skills, and ability to develop and grow strong cross-functional collaborations. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
