Senior Scientist in Analytical Chemistry

Your Impact at Lila The Scientist I/II, Process Chemistry will utilize cutting-edge process chemistry methodologies to enhance Discovery Chemistry initiatives across Lila’s diverse platform. This role emphasizes reaction and reactor engineering, process design, high-throughput experimentation, and digital chemistry workflows aimed at small molecules and associated molecular constructs. We seek a hands-on scientist who possesses a robust background in synthetic and process chemistry, complemented by an engineering mindset and experience in developing scalable, data-driven experimental workflows. Collaboration is key in this role; you will work closely with teams in Discovery Chemistry, analytical chemistry, automation, platform engineering, and AI/computational science to design, implement, and refine reaction and process workflows. These improvements will enhance the speed, reliability, and scalability of chemical transformations. The Scientist I/II will play a crucial role in bridging early-stage discovery chemistry with contemporary process development by establishing efficient, digitally enabled, and automation-friendly methods for reaction screening, process optimization, and chemistry execution. This position is perfect for a scientist passionate about the convergence of chemistry, engineering, high-throughput technologies, process intensification, and digital experimentation and eager to contribute to the evolution of next-generation process chemistry capabilities beyond traditional methods. What You Will Be Building Design, execute, and optimize process-relevant chemical transformations that advance Discovery Chemistry programs and the creation of small molecules. Develop reaction and process workflows with a focus on engineering rigor, scalability, reproducibility, throughput, and data integrity. Implement high-throughput experimentation (HTE) for reaction screening, process optimization, condition scouting, and assessment of process-relevant variables. Create and execute workflows that integrate reaction setup, process screening, workup, analytical readout, and data capture into streamlined experimental cycles. Contribute to the design of digitally enabled process chemistry workflows, including structured experimental data generation, electronic documentation, and the integration of chemistry data into computational and AI-ready systems. Collaborate with automation and platform teams to refine reaction and process workflows for robotics-enabled experimentation.

Your Impact at Lila As a Scientist I/II in Organic Chemistry, you will play a pivotal role in the development, execution, and optimization of cutting-edge chemical transformations that enhance Discovery Chemistry initiatives across Lila Sciences. Your focus will be on the rapid synthesis of small molecules and a diverse range of chemical compounds. This position is tailored for an experimental organic chemist who possesses a robust foundation in synthetic chemistry, complemented by practical experience in high-throughput experimentation (HTE), reaction workup, and analytical characterization. Collaborating closely with teams specializing in Discovery Chemistry, analytical chemistry, automation, screening, and AI/computational methods, you will aid in constructing and implementing efficient chemistry workflows designed to expedite molecular design–make–test–analyze cycles. The Scientist II will be integral to reaction development, analog generation, and route execution utilizing contemporary organic chemistry techniques that are compatible with scalable, data-driven, and increasingly automated discovery environments. This role is ideal for a chemist passionate about addressing synthetic challenges at the intersection of reaction innovation, high-throughput experimentation, process efficiency, and analytical insight, and who is driven to contribute to the evolution of next-generation discovery workflows that extend beyond conventional bench chemistry. What You'll Be Building Design and optimize chemical transformations pertinent to Discovery Chemistry programs, with a strong emphasis on the swift synthesis of small molecules and analog series. Utilize modern synthetic organic chemistry methodologies to facilitate efficient exploration of a wide spectrum of structurally diverse and medicinally relevant chemical spaces. Plan and execute multi-step synthesis, reaction optimization, workup, purification, and compound characterization to support molecular discovery campaigns. Develop and implement HTE workflows aimed at reaction screening, condition optimization, reagent evaluation, and rapid assessment of transformation scopes. Establish robust methodologies for reaction setup, workup, sample preparation, and analytical readout to support rapid and information-rich experimentation. Employ analytical tools such as chromatography, NMR, and other related methods to evaluate reaction performance, characterize products, and inform synthetic strategies. Contribute to the evolution of practical and scalable chemistry workflows that integrate reaction discovery, optimization, and downstream compound generation.

Role overview Lila Sciences seeks a Scientist I/II in Drug Delivery Chemistry for its Cambridge, MA location. This role centers on advancing drug delivery systems that align with the company’s broader research objectives. Key responsibilities Collaborate with fellow researchers to design and refine drug delivery technologies. Apply chemistry expertise to enhance scientific strategies and laboratory processes. Contribute to projects focused on improving patient outcomes through innovative drug delivery solutions. Location This position is based in Cambridge, Massachusetts.

About Lila Sciences Lila Sciences stands at the forefront of innovation as the world's first scientific superintelligence platform and autonomous laboratory, dedicated to life sciences, chemistry, and materials science. Our mission is to revolutionize the scientific method by harnessing AI capabilities to tackle humanity's most pressing challenges in health, climate, and sustainability. Discover more about our vision at www.lila.ai. At Lila, we foster a culture of collaboration and inclusivity, encouraging diverse perspectives and creative problem-solving within our teams. We believe that all contributions matter and strive to create an environment where every voice is valued. If you resonate with our values and are excited about the possibility of contributing, we encourage you to apply even if you meet only some of the qualifications below. Your Impact at Lila As a Scientist on our Physical Sciences team, you will play a pivotal role in developing innovative flow chemistry workflows. You will design, construct, and optimize cutting-edge flow chemistry platforms, seamlessly integrating real-time analytics and AI-driven decision-making. Collaborating closely with systems engineers and AI scientists, you will enhance our autonomous chemistry capabilities and expedite discovery processes at an unprecedented scale. What You Will Create Design & Commission: Architect and develop versatile flow chemistry platforms for autonomous synthesis, ensuring seamless integration with the Lila platform.

Your Role at Lila SciencesJoin our innovative Physical Sciences division, where you will spearhead the development of intelligent agent-driven systems designed to enhance AI-accelerated and AI-orchestrated process engineering across diverse industrial applications. In this pivotal role, your mission will be to create methodologies empowering AI agents to reason, design, simulate, optimize, and operate complex physical and chemical processes using both traditional and machine learning-driven process engineering tools. You will focus on building agentic infrastructures that facilitate AI systems in planning and executing multi-step process engineering workflows, which include process synthesis, flowsheet generation, steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your contributions will significantly influence how Lila's scientific superintelligence addresses real-world challenges through closed-loop autonomous process engineering.Your ContributionsDesign and implement agentic frameworks supporting comprehensive process engineering workflows, encompassing process setup, simulation, optimization, and analysis.Create AI agents capable of autonomously planning, executing, and refining process engineering tasks utilizing existing tools such as steady-state and dynamic simulators, optimizers, and data systems.Investigate agentic strategies for advanced objectives, including process intensification, control co-design, real-time optimization, and closed-loop learning informed by operational data.Enhance the robustness, interpretability, and reproducibility of agent-driven process engineering workflows; develop internal tools for debugging, observability, validation, and auditability.Collaborate with interdisciplinary teams to apply agentic process engineering across a wide range of industrial applications.

Role overview Bicycle Therapeutics seeks a Senior Scientist specializing in Computational Chemistry to join the team in Cambridge. The position focuses on using computational methods to design and optimize new therapeutic candidates, directly supporting the company’s goal of developing new medicines. What you will do Lead molecular modeling studies for ongoing drug discovery projects. Use advanced simulation techniques to analyze and predict molecular behavior. Collaborate with scientists from various disciplines to integrate computational insights into laboratory research. Share research findings through publications and presentations at scientific meetings and conferences. Requirements Extensive experience with computational chemistry methods and tools. Strong foundation in molecular modeling and simulation. Proven ability to work effectively within cross-functional teams. Drive to advance drug discovery using computational science.

We are seeking a passionate and detail-oriented Scientist I to join our innovative team at Integrated Resources Inc. This entry-level position offers a fantastic opportunity to contribute to groundbreaking research and development projects. You will work closely with experienced scientists to support various laboratory activities, including experimental design, data collection, and analysis.

Join our dynamic team as an Associate Scientist II, where you will contribute to innovative research and development initiatives. You will work collaboratively with cross-functional teams to advance scientific projects and support our mission to drive breakthroughs in biotechnology.

We are seeking a motivated and detail-oriented Scientist I to join our dynamic team in Cambridge. The ideal candidate will have a strong background in scientific research, with a passion for innovation and problem-solving. This entry-level role offers an exciting opportunity to contribute to groundbreaking projects and advance your career in a collaborative environment.

AbbVie is seeking a talented and motivated Associate Scientist II or Scientist I to join our dynamic In Vivo Pharmacology team in Cambridge. As part of our innovative research environment, you will play a crucial role in advancing our understanding of pharmacological mechanisms through in vivo studies. This position offers an exciting opportunity to contribute to groundbreaking research that has the potential to transform patient care.

Join Eurofins Scientific, a global leader in bioanalytical testing, as a Scientist specializing in Biocatalysis and Enzymatic Process Development. In this pivotal role, you will spearhead innovative research projects focusing on the development and optimization of enzymatic processes, contributing to our commitment to excellence in the field of biotechnology.

Your Impact at Lila In this pivotal role, you will spearhead the innovation and validation of advanced pooled assays utilizing mammalian cells. Your work will encompass everything from proof of concept to automated screening processes, enabling the generation of intricate, high-dimensional datasets. This position involves collaboration across cell biology, protein design, and nucleic acid teams to facilitate biologic development programs, focusing on the rapid assessment of binding, stability, function, and immunogenicity of diverse biologics. What You'll Be Building Create next-generation mammalian display-based assays for binding, stability, function, and immunogenicity. Implement cutting-edge multiomic, single-cell, and in situ sequencing workflows to design innovative, highly multiplexed assays. Collaborate with protein design, nucleic acid, and automation teams to leverage these workflows in biologics development. Closed-Loop Experimentation and Execution: Work closely with engineering and automation teams to architect automated, high-throughput experimentation platforms that yield data-rich workflows. Join forces with the AI team to conduct iterative experiments in real time, facilitating rapid optimization and discovery cycles. Collaborate, Lead & Communicate: Engage with cell biologists, synthetic biologists, automation engineers, protein design scientists, and data scientists to document systems, share insights, and refine best practices in autonomous science. Mentor junior scientists, align project milestones with internal and external collaborators, contribute to intellectual property and publications, and present findings across the organization. What You’ll Need to Succeed Ph.D. in Chemical/Biomedical Engineering, Biochemistry, Pharmaceutical Sciences, Immunology, or a related discipline (or M.S./B.S. with 5–8+ years of relevant industry experience). Proficiency in the development and/or application of mammalian display or similar pooled mammalian systems (perturb-seq, MPRA, etc.). Experience in designing, executing, and analyzing single-cell, in situ, or multiomic sequencing experiments. Expertise in creating complex libraries of defined sequences in mammalian cells. Experience in designing, executing, and analyzing flow cytometry and sorting experiments. Familiarity with next-generation sequencing (NGS) based experimental design and analysis.

Join our innovative team as an Advanced Process Analytics Scientist at Integrated Resources Inc. in Cambridge. This pivotal role involves utilizing advanced analytics and data science methodologies to drive process improvements and optimize performance across various operational domains. You will collaborate with cross-functional teams to extract insights from complex datasets, delivering actionable recommendations that enhance efficiency and innovation.

Join Integrated Resources Inc. as an Associate Scientist I, where you will contribute to innovative scientific research and development projects. As a pivotal part of our team, your role will involve conducting experiments, analyzing data, and collaborating with multidisciplinary teams to advance our scientific objectives.

We are seeking a highly motivated and detail-oriented Associate Scientist I to join our dynamic team in Cambridge. The ideal candidate will assist in the design and execution of experiments, analysis of data, and contribute to various projects within our research initiatives.

Join our dynamic team at Integrated Resources Inc. as an Associate Scientist II, where you will play a crucial role in advancing our innovative projects. In this position, you will engage in various scientific experiments and analyses, contributing to the development of cutting-edge solutions.

Role overview Harvard University seeks a Principal Research Scientist for the Sciences - Chemistry and Chemical Biology department in Cambridge. This role leads research efforts, working closely with faculty and other researchers to advance scientific understanding in chemistry and chemical biology. What you will do Direct research projects in chemistry and chemical biology Collaborate with faculty and research teams on experimental design and analysis Apply innovative methods to address complex scientific questions Contribute to scientific publications and presentations

Your Impact at Lila Sciences The Director of Discovery Chemistry will spearhead the design, synthesis, and optimization of small molecules across Lila’s discovery platform, emphasizing organic synthesis, molecular design, and scalable chemistry execution. This pivotal role will cultivate and expand a premier molecular chemistry program that translates AI-generated molecular hypotheses into high-quality, synthetically viable, and functionally validated chemical entities. Collaboration is key, as you will work closely with Lila’s AI, automation, computational biology, and platform teams to establish the chemistry infrastructure necessary to swiftly advance novel molecules from conception to validated candidates across diverse discovery initiatives. You will drive synthetic strategy, route design, analog generation, molecular property optimization, and chemistry-enabled innovation while ensuring seamless integration with robotic synthesis and platform-based experimentation. This leadership position is crucial in shaping Lila’s molecular discovery engine by leveraging deep expertise in synthetic organic chemistry, molecular design, and data-driven experimentation to expedite the discovery of high-value molecules for therapeutic and broader platform applications. What You Will Be Building Lead the discovery chemistry strategy across programs, focusing on small molecule design, synthetic innovation, analog generation, and optimization of chemical matter. Oversee the design and implementation of synthetic routes for novel small molecules, prioritizing speed, robustness, scalability, and compatibility with automated synthesis platforms. Develop and enhance efficient workflows for molecular design, compound prioritization, analog generation, and iterative design–make–test cycles in partnership with AI and computational teams. Collaborate closely with automation and platform teams to establish robotic and high-throughput chemistry capabilities that expand accessible chemical space and accelerate molecule generation. Guide the selection of reagents, reaction modalities, and synthetic methodologies to facilitate rapid exploration of structurally diverse and functionally relevant chemical entities.

Make an Impact at Lila Sciences As a pivotal member of our Physical Sciences division, you will spearhead the design and implementation of cutting-edge simulation methodologies aimed at modeling transport phenomena, kinetics, rare events, and reaction networks. Your innovative approaches will be integrated with artificial intelligence platforms to facilitate groundbreaking materials discovery. Your contributions will be essential in predicting, designing, and managing the behaviors of intricate materials and molecular systems, leveraging the power of agentic AI. Collaborating with our diverse teams, including experts in machine learning and materials science, you will help bridge theoretical research and practical experimentation. What You Will Create Enhance and develop molecular dynamics and Monte Carlo algorithms to effectively capture rare events, non-equilibrium processes, transport phenomena, and intricate reaction networks. Create scalable simulation workflows that merge statistical mechanics techniques with machine-learned interatomic potentials and agentic AI systems. Devise methods for synchronizing dynamic simulations with experimental observations to enable automated lab verification and discovery. Work collaboratively with computational scientists, machine learning specialists, and platform engineers to elevate the accuracy and scalability of simulation-driven material discoveries. Establish reproducible and modular software pipelines for statistical mechanics and dynamics simulations, optimized for high-performance computing and cloud environments. Qualifications for Success A PhD or equivalent research/industry experience in Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Applied Mathematics, or related fields. A robust background in statistical mechanics, free energy calculations, reaction mapping, non-equilibrium dynamics, and rare-event sampling techniques. Proven expertise in molecular dynamics, Monte Carlo simulations, and/or kinetic simulation software frameworks (e.g., LAMMPS, GROMACS, OpenMM, HOOMD). Strong programming skills and experience in scientific computing (Python, C/C++, MPI, CUDA, etc.). Experience in executing and automating simulations on high-performance computing (HPC) and/or cloud platforms at scale. Bonus Qualifications A solid publication record showcasing the application of advanced statistical mechanics or dynamics simulations to molecular and materials systems, including molecular/biomolecular systems and solid-state materials and interfaces. Experience in integrating dynamics simulations with data-driven, AI-based, and/or agentic frameworks.