Business Development Manager - Drug Discovery

Role Overview AbbVie is hiring a Scientist I to join the Immunology Discovery group in Cambridge. This is an entry-level role focused on research that supports new therapies in immunology. The team values creative problem-solvers who want to help drive scientific progress. What You Will Do Collaborate with scientists on research projects in immunology Apply modern laboratory techniques to investigate immune system pathways Contribute data and insights to support the development of new therapies Work as part of a team committed to advancing scientific understanding Location This position is based in Cambridge.

Your Role at Lila Sciences As a key contributor to our Physical Sciences division, you will focus on advancing the field of in silico materials discovery techniques. Your responsibilities will involve designing autonomous workflows and data-driven pipelines that effectively integrate simulation with artificial intelligence. You will lead the development of strategies that empower agents to analyze simulation data, derive hidden insights, and facilitate hypothesis generation and materials design. Your innovative approach will enhance our utilization of simulation outputs for discovery, fostering a seamless integration of physics-based modeling with AI reasoning systems. Collaboration with specialists in simulation, AI agents, and experimental automation will be pivotal as we strive to redefine the landscape of digital discovery. Key Contributions Create cutting-edge workflows for in silico materials discovery that link physics-based simulations and generative AI models. Develop intelligent systems where AI agents autonomously design, execute, interpret, and optimize simulations. Establish frameworks that maximize the utility of simulation data for prediction, inference, and discovery, with features like automatic data extraction and model training. Prototype and assess novel paradigms for simulation-aware agents that learn from and interact with scientific simulations. Design data structures, metadata specifications, and APIs to ensure smooth information transfer among simulations, machine learning models, and experimental data repositories. Build scalable, modular workflows that connect electronic structure, atomistic, and mesoscale simulations with AI-driven reasoning and hypothesis generation. Work alongside computational scientists, machine learning professionals, and platform engineers to integrate in silico discovery pipelines into Lila’s overarching scientific superintelligence framework. Qualifications for Success PhD or equivalent experience in Computer Science, Materials Science, Chemistry, Physics, Applied Mathematics, or related fields. Strong background in in silico materials discovery, computational materials modeling, and/or simulation workflow design. Familiarity with large language models and their applications in scientific research. Experience in developing AI-driven or agentic workflows for scientific automation and discovery. Proficient programming skills in Python and scientific computing libraries.

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 AbbVie as a Senior Scientist II in our Assay Development team, focusing on innovative research in Discovery Psychiatry. This role involves designing, developing, and optimizing assays to advance our understanding of psychiatric disorders. You will collaborate with cross-functional teams to drive research initiatives and contribute to the discovery of effective treatments.The ideal candidate will possess strong scientific expertise, a passion for psychiatric research, and the ability to thrive in a dynamic environment.

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.

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.

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 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.

Position Overview Join our innovative team at Apriori Bio, where we harness the power of computational and data-centric methods to craft groundbreaking antigens and assess vaccine efficacy. Our cutting-edge AI/ML platform, Octavia™, allows us to navigate viral fitness landscapes, anticipate immune evasion patterns, and engineer vaccines that prime the immune system for future challenges. In this role, you will leverage computational techniques—including structural modeling, machine learning, and statistical inference—to enhance our vaccine design initiatives based on insights from Octavia™. Proficiency in protein engineering and immunological datasets is advantageous, alongside a keen interest or background in high-throughput functional genomics, virology, or vaccinology. The Scientist will collaborate closely with both computational and experimental teams to analyze outcomes, formulate hypotheses, and aid in antigen development. This position is perfect for scientists who are eager to engage in a unique learning environment characterized by innovation and interdisciplinary collaboration within a fast-paced startup.

Your Impact at LilaThe Senior Scientist in Analytical Chemistry will spearhead the development and application of cutting-edge analytical and characterization techniques to bolster Discovery Chemistry initiatives across Lila’s innovative platform. This role is pivotal in facilitating the swift design, synthesis, screening, and optimization of small molecules and related molecular entities. You will be instrumental in producing high-quality, informative experimental data that guides chemistry decisions and enhances platform learning.By collaborating closely with teams in Discovery Chemistry, automation, AI/computational fields, and screening, you will establish and scale multimodal characterization workflows that surpass conventional analytical chemistry methodologies. Your expertise will help create an integrated analytical framework that includes compound characterization, reaction monitoring, molecular profiling, and rapid data generation to support fast-paced design–make–test–analyze cycles.Your contributions will be vital in molding Lila’s next-generation discovery engine, merging profound analytical chemistry knowledge with high-throughput experimentation and AI-driven workflows.

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.

About Healx Healx is an innovative tech bio company harnessing the power of AI to revolutionize drug discovery. With more than 10,000 rare diseases impacting 400 million individuals worldwide, and 90% of these conditions without approved treatments, our mission is to spearhead a new era in drug development that expedites access to therapies for patients. We merge extensive data analytics, cutting-edge artificial intelligence, and deep pharmacological knowledge to create therapies with greater efficiency and cost-effectiveness compared to traditional methods. Diversity and inclusion are fundamental to our mission of supporting those with rare diseases. We believe that cultivating and empowering a diverse workforce is essential to fulfilling this vision. We warmly invite applications from individuals of all backgrounds and experiences. If you are passionate about our mission and values, we encourage you to apply, even if you don’t meet every listed requirement. Our Core Values Care for rare – Our focus is on patients at the center of all we do. Grow as individuals – We are committed to continuous learning and expertise development. Win as a team – We promote inclusivity, celebrate achievements, and learn together. Innovate and deliver – We act swiftly, embrace calculated risks, and maintain high standards. The Role We are in search of a Translational Scientist (DMPK & Safety) to play a pivotal role in translating AI-driven drug predictions into clinical outcomes. This position is drug-focused and highly collaborative, where you will generate and analyze data while shaping the non-clinical pathway to clinical application. You will be part of the pharmacology team, collaborating closely with our technology, curation, and clinical teams to convert computational predictions into promising therapeutic candidates. We seek a candidate with robust DMPK expertise who is eager to broaden their scope into a comprehensive translational role, making strategic contributions throughout the drug discovery lifecycle.

COMPANY DESCRIPTION We are a pioneering start-up dedicated to transforming the landscape of chemical discovery. Our innovative platform integrates artificial intelligence with a state-of-the-art laboratory discovery pipeline to redefine molecular formulation development. Our interdisciplinary team is exploring uncharted chemical territories, facilitating significant advancements in drug delivery, agricultural formulations, and sustainable, high-performance industrial chemicals. Backed by Flagship Pioneering, a leader in biotechnology origination, we have fostered over 115 scientific ventures in 25 years, generating more than $20 billion in aggregate value, 500+ patents, and over 50 clinical trials for groundbreaking therapeutic agents. THE ROLE We are on the lookout for a passionate and skilled Senior Research Associate or Associate Scientist to enhance our formulation discovery platform by characterizing biomolecules. This position involves utilizing a range of biophysical and biochemical methodologies to analyze the effects of formulations on biomolecular integrity, aggregation, and functional stability. You will collaborate closely with chemists and machine-learning experts to produce high-quality experimental data that drives formulation design and predictive modeling initiatives. The ideal candidate will possess a solid background in biochemistry, structural biology, or biopolymer engineering, complemented by practical experience with analytical instrumentation for biomolecular characterization. KEY RESPONSIBILITIES Conduct experiments assessing biomolecular stability and solubility across various formulation conditions. Evaluate cargo structural integrity and folding utilizing circular dichroism (CD) spectroscopy and complementary biophysical techniques. Measure biomolecular interactions and stability through spectroscopy, dynamic light scattering, and electrophoretic methods. Prepare samples for diverse external workflows to evaluate molecular integrity and degradation. Experimental Pipeline Support Collaborate with formulation chemists to investigate cargo-formulation interactions across different experimental contexts. Generate high-quality experimental datasets to assist internal modeling and data analysis processes. Support laboratory instrumentation maintenance and troubleshooting. Maintain organized laboratory records, analyze results, and communicate findings effectively to cross-functional teams.

Imagine... being part of an innovative organization that cultivates and develops life sciences companies dedicated to pioneering groundbreaking technologies aimed at revolutionizing health care and sustainability. Company Overview Expedition Medicines is a dynamic, privately held, early-stage biotechnology company at the forefront of the Protein Editing field. We specialize in creating small molecules that modify protein structure and function to target currently undruggable options across various therapeutic strategies. Our advanced platform combines cutting-edge small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to facilitate generative design. Backed by Flagship Pioneering, we leverage their vision, courage, and resources to propel Expedition Medicines from platform validation to impactful patient solutions. We seek passionate, collaborative, and determined problem solvers to join our mission! Role Overview: The Senior/Principal Scientist in Structural Biology will concentrate on determining protein-ligand complex structures using X-ray crystallography and cryo-electron microscopy (cryo-EM). This role involves delivering structural insights and collaborating with project teams to advance structure-based drug design and uncover the mechanisms of action of small molecules. Key Responsibilities: Design and implement structural biology strategies for multiple projects. Oversee the design, expression, and purification of protein constructs for structural determination. Develop and execute protocols to achieve high-quality crystals for X-ray crystallography. Create and implement protocols for grid optimization, data collection, and analysis in cryo-EM. Refine and communicate structures of protein-ligand complexes, collaborating with project teams to drive hit-to-lead and lead optimization processes. Manage contract research organizations (CROs) to ensure efficient delivery of protein expression and structural biology services. Enhance our capabilities and serve as a trusted authority in the field of structural biology.

Join Flagship Pioneering Inc. as the Director of Antibody Discovery, where you will lead innovative initiatives in antibody research and development. This pivotal role involves overseeing a talented team, driving strategic projects, and collaborating with cross-functional teams to advance our cutting-edge therapeutic programs. Your expertise will be crucial in shaping the future of antibody therapeutics, fostering a culture of scientific excellence, and ensuring the successful execution of discovery projects.

Flagship Pioneering, Inc. is seeking a visionary and experienced Director of Antibody Discovery to lead our innovative research team in Cambridge, UK. In this pivotal role, you will be responsible for spearheading the development of novel antibody therapeutics that will define the future of medicine. You will leverage cutting-edge technologies and methodologies to drive our antibody discovery efforts, collaborating closely with cross-functional teams to bring groundbreaking solutions to patients.

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.

Join our team at Integrated Resources Inc. as an Associate Scientist I, where you will have the opportunity to contribute to innovative research and development projects. This entry-level position is perfect for recent graduates or individuals looking to launch their careers in the scientific field. You will collaborate with experienced scientists, engage in hands-on laboratory work, and assist in conducting experiments that drive our mission forward.