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Qualifications
The ideal candidate will possess a strong background in lipid chemistry, molecular biology, and formulation science. You should demonstrate a proven ability to independently plan and execute experiments, alongside the capacity for critical data analysis and interpretation. Experience with high-throughput screening and in vivo models will be highly regarded.
About the job
Join GT Biosciences, a pioneering techbio startup based in Cambridge, MA, dedicated to revolutionizing drug delivery through our innovative Deliveromics platform. We are seeking a passionate and multidisciplinary LNP Scientist to join our team, focusing on the advancement of cutting-edge non-viral delivery technologies.
In this pivotal role, you will spearhead the design and development of novel ionizable lipids and engineer ligand-conjugated lipid nanoparticle formulations. Your expertise will support in vivo screening for Deliveromics and evaluate performance through both in vitro assays and in vivo animal models. You will be responsible for experimental planning, execution, data analysis, interpretation, and effectively communicating results.
As one of the earliest scientific hires at this innovative startup, you will play a crucial role in shaping platform development and collaborating across various disciplines to create transformative solutions for genetic medicine delivery. This is a full-time, in-person position based in Cambridge, MA.
About GT Biosciences
GT Biosciences is a dynamic, early-stage startup founded by MIT PhDs and an esteemed MIT professor, backed by top-tier investors. Our mission is to make routine in vivo cell reprogramming achievable. We prioritize transparency, collaboration, and continuous growth, fostering an environment that encourages innovation and teamwork among our science-driven staff.
Join GT Biosciences, a pioneering techbio startup based in Cambridge, MA, dedicated to revolutionizing drug delivery through our innovative Deliveromics platform. We are seeking a passionate and multidisciplinary LNP Scientist to join our team, focusing on the advancement of cutting-edge non-viral delivery technologies.In this pivotal role, you will spearhead the design and development of novel ionizable lipids and engineer ligand-conjugated lipid nanoparticle formulations. Your expertise will support in vivo screening for Deliveromics and evaluate performance through both in vitro assays and in vivo animal models. You will be responsible for experimental planning, execution, data analysis, interpretation, and effectively communicating results.As one of the earliest scientific hires at this innovative startup, you will play a crucial role in shaping platform development and collaborating across various disciplines to create transformative solutions for genetic medicine delivery. This is a full-time, in-person position based in Cambridge, MA.
Full-time|$80K/yr - $118K/yr|On-site|Cambridge, MA USA
Your Contribution at Lila Sciences Lila Sciences is actively seeking a dedicated (Senior) Research Associate to become an integral part of our dynamic Life Sciences team. This pivotal role will be centered around the formulation of lipid nanoparticles (LNPs), their functionalization with targeting ligands, and the characterization of the resulting targeted LNPs (tLNPs). The ideal candidate will possess substantial hands-on experience in LNP formulation and characterization, bioconjugation, protein characterization, and automation technologies. Your expertise will significantly enhance our understanding of the delivery space, enabling a high-throughput closed-loop screening cascade for tLNPs. You will work collaboratively with professionals across protein, cell biology, automation, chemistry, machine learning, and data science teams to establish advanced tools for targeted nucleic acid delivery. Your Key Responsibilities Design, execute, and characterize LNP formulations utilizing various scales and mixing modalities (e.g., DLS, ribogreen, TNS). Develop and optimize high-throughput ligand conjugation and purification methodologies, leveraging automation and robotics to maximize throughput. Collaborate with cell assay and antibody experts to screen candidates across diverse tissue targets in in vivo models. Engage with chemists, biologists, engineers, and data scientists to document processes, share insights, and refine best practices in autonomous flow chemistry. Create, implement, and uphold Standard Operating Procedures (SOPs) for both existing and emerging lab processes. Your Qualifications for Success MSc in Chemical Engineering, Biomedical Engineering, Pharmaceutical Sciences, or a closely related field with 3+ years of hands-on experience in targeted LNP production or a BSc with 5+ years of relevant experience. Industry experience is highly desirable. Strong proficiency in bioanalytical techniques (e.g., DLS, fluorescence spectroscopy, electrophoresis, in vitro assays). Experience in protein and antibody design and characterization. Familiarity with automation and high-throughput workflows is preferred. Exceptional troubleshooting, communication, and collaboration skills, with a proven ability to work effectively across interdisciplinary teams. About Lila Sciences Lila Sciences is at the forefront of innovation as the world's first scientific superintelligence platform and autonomous laboratory focused on life sciences, chemistry, and materials science. We are pioneering a new era of limitless discovery by harnessing AI capabilities to enhance every facet of the scientific method. Our mission is to leverage scientific superintelligence to address humanity's most pressing challenges.
GT Biosciences is on the cutting edge of biotechnology, developing Deliveromics, the world’s first AI-driven, high-throughput, multiplexed in vivo data engine designed to decode the complexities of drug delivery. Established by a team of MIT scientists and supported by elite investors, we are pioneering next-generation, non-viral, cell-type-specific delivery vehicles, achieving notable advancements in crossing the blood-brain barrier and targeting specific brain cell types. Our dedicated and fast-paced team is committed to revolutionizing routine in vivo cell reprogramming.We are seeking a passionate and skilled Spatial Biology Platform Scientist to join our Platform Development Team. In this pivotal role, you will leverage your extensive knowledge in spatial biology, nucleic acid sequencing, and assay development to enhance our Deliveromics platform. As an early member of our scientific team, your collaborative efforts across biology, chemistry, and engineering will be crucial in generating high-quality data and insights driving our innovations. This full-time, in-person position is based in Cambridge, MA.
Join Lila Sciences as a Senior Research Associate or Associate Scientist in the Protein Science department, focusing on our cutting-edge Antibody Platform. You will play a crucial role in advancing our research initiatives, contributing to the development of innovative antibody-based therapeutics. This position offers the opportunity to collaborate with a talented team dedicated to scientific excellence and the pursuit of transformative solutions in healthcare.
About Us:GT Biosciences is an innovative techbio startup focused on revolutionizing drug delivery through our groundbreaking platform, Deliveromics. This AI-powered, high-throughput, multiplexed in vivo data engine is designed to uncover the fundamental rules of drug delivery. Founded by a team of MIT PhDs and an esteemed MIT professor, and supported by leading investors, we are dedicated to developing next-generation, non-viral, cell-type-specific delivery systems. Our passionate, science-driven team is on a mission to make routine in vivo cell reprogramming a reality.We embrace a culture of transparency and collaboration, seeking enthusiastic team members who thrive in an open, cooperative environment and aspire to grow alongside the company and their colleagues.Job Overview:We are looking for a dedicated and multidisciplinary Nucleic Acids Platform Scientist to join our Deliveromics Platform Development team. In this pivotal role, you will design and optimize innovative nucleic acid constructs and chemistries, including mRNA, ASO, and siRNA, for targeted delivery applications. Your responsibilities will include supporting Deliveromics in vivo screening and conducting thorough evaluations of performance through both in vitro assays and animal models. You will independently plan and execute experiments, analyze complex datasets, and communicate findings effectively. As an early scientific hire at our emerging biotech firm, you will play a crucial role in shaping our platform, fostering interdisciplinary collaboration, and contributing to transformative delivery solutions for genetic medicines. This is a full-time, on-site position located in Cambridge, MA.
Join our innovative team as a Senior Scientist where you'll drive critical research projects and make a significant impact in the field. We are seeking a highly motivated individual with a passion for scientific discovery and a strong background in relevant disciplines.
Full-time|$108K/yr - $150K/yr|On-site|Cambridge, MA USA
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.
We are seeking a motivated and detail-oriented Bench Scientist to join our dynamic team in Cambridge. This entry-level position is an excellent opportunity for recent graduates or those new to the field of scientific research. As a Bench Scientist, you will play a crucial role in conducting experiments, analyzing data, and contributing to innovative projects. If you are passionate about science and eager to learn, we encourage you to apply!
Join Artech Information Systems LLC as a Scientist in Cambridge, where you will contribute to groundbreaking research and innovative solutions in a collaborative environment. Your expertise will help drive scientific advancements and enhance our projects.
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.
As an Associate Scientist III, you will play a crucial role in advancing our scientific research initiatives. You will collaborate with cross-functional teams to design, execute, and analyze experiments that contribute to our innovative projects. Your expertise will help drive our mission forward, ensuring that we continue to push the boundaries of scientific discovery.
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.
We are seeking a dedicated and detail-oriented Bench Scientist to join our innovative team at Artech Information Systems LLC. This entry-level role is perfect for recent graduates or individuals looking to kickstart their career in scientific research. The Bench Scientist will be responsible for conducting experiments, analyzing data, and contributing to various projects that advance our understanding of scientific principles.
We are seeking a motivated and detail-oriented Bench Scientist to join our dynamic team in Cambridge. In this role, you will be responsible for conducting experiments, analyzing results, and contributing to various research projects. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in a laboratory setting.
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 Integrated Resources Inc. as an Associate Scientist where you will engage in groundbreaking research and contribute to innovative projects. This role offers an exciting opportunity to work in a collaborative environment, driving advancements in our scientific endeavors.
We are seeking a highly motivated and detail-oriented Research Scientist to join our innovative team in Cambridge. In this role, you will conduct groundbreaking research, analyze data, and contribute to the development of new solutions in our field. You will work collaboratively with cross-functional teams to drive projects from ideation to execution, ensuring scientific rigor and excellence.
Full-time|$228K/yr - $358K/yr|On-site|Cambridge, MA USA; London, UK; San Francisco, CA USA
Your Contribution at Lila At Lila, we are assembling a dynamic and empowered AI safety team dedicated to proactively addressing the potential risks associated with scientific superintelligence. This team will collaborate closely with all core departments, including science, model training, and lab integration, to craft a customized safety strategy that aligns with our unique objectives and deployment methods. Key responsibilities will encompass the development of technical safety strategies, engagement with the broader ecosystem, and the creation of essential technical documentation, including risk assessments and capability evaluations. Your Key Responsibilities Design and execute evaluations to identify scientific risks—focusing on both established and emerging threats—from state-of-the-art scientific models integrated with automated physical laboratories. Develop initial proof-of-concept safety measures, such as machine learning models designed to detect and mitigate unsafe behaviors from scientific AI models and physical laboratory outputs. Gain a comprehensive understanding of various model capabilities, primarily within scientific contexts but also extending to non-scientific domains (e.g., persuasion, deception) to shape Lila's overarching safety strategy. Engage in high-quality research initiatives as needed to evaluate and restrict scientific capabilities effectively. Qualifications for Success A Bachelor's degree in a relevant technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics) or equivalent experience. Proficient programming skills in Python and hands-on experience with machine learning frameworks (such as Inspect) for large-scale evaluations and structured testing. Demonstrated experience in constructing evaluations or conducting red-teaming exercises pertaining to CBRN/cyber risks or frontier model capabilities, encompassing both unsafe and benign attributes. Background in designing and/or implementing AI safety frameworks in cutting-edge AI enterprises. Exceptional ability to communicate intricate technical concepts and issues to audiences without technical expertise. Desirable Qualifications A Master’s or PhD in a field pertinent to safety evaluations of AI models within scientific areas or another technical discipline. Publications in AI safety, evaluations, or model behavior at leading ML/AI conferences (such as NeurIPS, ICML, ICLR, ACL) or model release documentation. Experience exploring risks arising from novel scientific advancements (e.g., biosecurity, computational biology) or utilizing specialized scientific tools (e.g., large-scale foundational models in science).
AbbVie Inc. is seeking an Associate Scientist II with a focus on In Vivo Pharmacology to join the team in Cambridge. This position supports research that aims to improve patient outcomes through new drug discovery. Role overview The Associate Scientist II will perform in vivo experiments and handle data analysis as part of ongoing research projects. Collaboration with colleagues from different scientific backgrounds is a key part of this role. Key responsibilities Conduct in vivo pharmacology experiments as part of drug discovery initiatives Analyze and interpret experimental data to support research goals Work closely with cross-functional teams to drive projects forward Location This position is based in Cambridge.
Join GT Biosciences, a pioneering techbio startup based in Cambridge, MA, dedicated to revolutionizing drug delivery through our innovative Deliveromics platform. We are seeking a passionate and multidisciplinary LNP Scientist to join our team, focusing on the advancement of cutting-edge non-viral delivery technologies.In this pivotal role, you will spearhead the design and development of novel ionizable lipids and engineer ligand-conjugated lipid nanoparticle formulations. Your expertise will support in vivo screening for Deliveromics and evaluate performance through both in vitro assays and in vivo animal models. You will be responsible for experimental planning, execution, data analysis, interpretation, and effectively communicating results.As one of the earliest scientific hires at this innovative startup, you will play a crucial role in shaping platform development and collaborating across various disciplines to create transformative solutions for genetic medicine delivery. This is a full-time, in-person position based in Cambridge, MA.
Full-time|$80K/yr - $118K/yr|On-site|Cambridge, MA USA
Your Contribution at Lila Sciences Lila Sciences is actively seeking a dedicated (Senior) Research Associate to become an integral part of our dynamic Life Sciences team. This pivotal role will be centered around the formulation of lipid nanoparticles (LNPs), their functionalization with targeting ligands, and the characterization of the resulting targeted LNPs (tLNPs). The ideal candidate will possess substantial hands-on experience in LNP formulation and characterization, bioconjugation, protein characterization, and automation technologies. Your expertise will significantly enhance our understanding of the delivery space, enabling a high-throughput closed-loop screening cascade for tLNPs. You will work collaboratively with professionals across protein, cell biology, automation, chemistry, machine learning, and data science teams to establish advanced tools for targeted nucleic acid delivery. Your Key Responsibilities Design, execute, and characterize LNP formulations utilizing various scales and mixing modalities (e.g., DLS, ribogreen, TNS). Develop and optimize high-throughput ligand conjugation and purification methodologies, leveraging automation and robotics to maximize throughput. Collaborate with cell assay and antibody experts to screen candidates across diverse tissue targets in in vivo models. Engage with chemists, biologists, engineers, and data scientists to document processes, share insights, and refine best practices in autonomous flow chemistry. Create, implement, and uphold Standard Operating Procedures (SOPs) for both existing and emerging lab processes. Your Qualifications for Success MSc in Chemical Engineering, Biomedical Engineering, Pharmaceutical Sciences, or a closely related field with 3+ years of hands-on experience in targeted LNP production or a BSc with 5+ years of relevant experience. Industry experience is highly desirable. Strong proficiency in bioanalytical techniques (e.g., DLS, fluorescence spectroscopy, electrophoresis, in vitro assays). Experience in protein and antibody design and characterization. Familiarity with automation and high-throughput workflows is preferred. Exceptional troubleshooting, communication, and collaboration skills, with a proven ability to work effectively across interdisciplinary teams. About Lila Sciences Lila Sciences is at the forefront of innovation as the world's first scientific superintelligence platform and autonomous laboratory focused on life sciences, chemistry, and materials science. We are pioneering a new era of limitless discovery by harnessing AI capabilities to enhance every facet of the scientific method. Our mission is to leverage scientific superintelligence to address humanity's most pressing challenges.
GT Biosciences is on the cutting edge of biotechnology, developing Deliveromics, the world’s first AI-driven, high-throughput, multiplexed in vivo data engine designed to decode the complexities of drug delivery. Established by a team of MIT scientists and supported by elite investors, we are pioneering next-generation, non-viral, cell-type-specific delivery vehicles, achieving notable advancements in crossing the blood-brain barrier and targeting specific brain cell types. Our dedicated and fast-paced team is committed to revolutionizing routine in vivo cell reprogramming.We are seeking a passionate and skilled Spatial Biology Platform Scientist to join our Platform Development Team. In this pivotal role, you will leverage your extensive knowledge in spatial biology, nucleic acid sequencing, and assay development to enhance our Deliveromics platform. As an early member of our scientific team, your collaborative efforts across biology, chemistry, and engineering will be crucial in generating high-quality data and insights driving our innovations. This full-time, in-person position is based in Cambridge, MA.
Join Lila Sciences as a Senior Research Associate or Associate Scientist in the Protein Science department, focusing on our cutting-edge Antibody Platform. You will play a crucial role in advancing our research initiatives, contributing to the development of innovative antibody-based therapeutics. This position offers the opportunity to collaborate with a talented team dedicated to scientific excellence and the pursuit of transformative solutions in healthcare.
About Us:GT Biosciences is an innovative techbio startup focused on revolutionizing drug delivery through our groundbreaking platform, Deliveromics. This AI-powered, high-throughput, multiplexed in vivo data engine is designed to uncover the fundamental rules of drug delivery. Founded by a team of MIT PhDs and an esteemed MIT professor, and supported by leading investors, we are dedicated to developing next-generation, non-viral, cell-type-specific delivery systems. Our passionate, science-driven team is on a mission to make routine in vivo cell reprogramming a reality.We embrace a culture of transparency and collaboration, seeking enthusiastic team members who thrive in an open, cooperative environment and aspire to grow alongside the company and their colleagues.Job Overview:We are looking for a dedicated and multidisciplinary Nucleic Acids Platform Scientist to join our Deliveromics Platform Development team. In this pivotal role, you will design and optimize innovative nucleic acid constructs and chemistries, including mRNA, ASO, and siRNA, for targeted delivery applications. Your responsibilities will include supporting Deliveromics in vivo screening and conducting thorough evaluations of performance through both in vitro assays and animal models. You will independently plan and execute experiments, analyze complex datasets, and communicate findings effectively. As an early scientific hire at our emerging biotech firm, you will play a crucial role in shaping our platform, fostering interdisciplinary collaboration, and contributing to transformative delivery solutions for genetic medicines. This is a full-time, on-site position located in Cambridge, MA.
Join our innovative team as a Senior Scientist where you'll drive critical research projects and make a significant impact in the field. We are seeking a highly motivated individual with a passion for scientific discovery and a strong background in relevant disciplines.
Full-time|$108K/yr - $150K/yr|On-site|Cambridge, MA USA
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.
We are seeking a motivated and detail-oriented Bench Scientist to join our dynamic team in Cambridge. This entry-level position is an excellent opportunity for recent graduates or those new to the field of scientific research. As a Bench Scientist, you will play a crucial role in conducting experiments, analyzing data, and contributing to innovative projects. If you are passionate about science and eager to learn, we encourage you to apply!
Join Artech Information Systems LLC as a Scientist in Cambridge, where you will contribute to groundbreaking research and innovative solutions in a collaborative environment. Your expertise will help drive scientific advancements and enhance our projects.
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.
As an Associate Scientist III, you will play a crucial role in advancing our scientific research initiatives. You will collaborate with cross-functional teams to design, execute, and analyze experiments that contribute to our innovative projects. Your expertise will help drive our mission forward, ensuring that we continue to push the boundaries of scientific discovery.
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.
We are seeking a dedicated and detail-oriented Bench Scientist to join our innovative team at Artech Information Systems LLC. This entry-level role is perfect for recent graduates or individuals looking to kickstart their career in scientific research. The Bench Scientist will be responsible for conducting experiments, analyzing data, and contributing to various projects that advance our understanding of scientific principles.
We are seeking a motivated and detail-oriented Bench Scientist to join our dynamic team in Cambridge. In this role, you will be responsible for conducting experiments, analyzing results, and contributing to various research projects. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in a laboratory setting.
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 Integrated Resources Inc. as an Associate Scientist where you will engage in groundbreaking research and contribute to innovative projects. This role offers an exciting opportunity to work in a collaborative environment, driving advancements in our scientific endeavors.
We are seeking a highly motivated and detail-oriented Research Scientist to join our innovative team in Cambridge. In this role, you will conduct groundbreaking research, analyze data, and contribute to the development of new solutions in our field. You will work collaboratively with cross-functional teams to drive projects from ideation to execution, ensuring scientific rigor and excellence.
Full-time|$228K/yr - $358K/yr|On-site|Cambridge, MA USA; London, UK; San Francisco, CA USA
Your Contribution at Lila At Lila, we are assembling a dynamic and empowered AI safety team dedicated to proactively addressing the potential risks associated with scientific superintelligence. This team will collaborate closely with all core departments, including science, model training, and lab integration, to craft a customized safety strategy that aligns with our unique objectives and deployment methods. Key responsibilities will encompass the development of technical safety strategies, engagement with the broader ecosystem, and the creation of essential technical documentation, including risk assessments and capability evaluations. Your Key Responsibilities Design and execute evaluations to identify scientific risks—focusing on both established and emerging threats—from state-of-the-art scientific models integrated with automated physical laboratories. Develop initial proof-of-concept safety measures, such as machine learning models designed to detect and mitigate unsafe behaviors from scientific AI models and physical laboratory outputs. Gain a comprehensive understanding of various model capabilities, primarily within scientific contexts but also extending to non-scientific domains (e.g., persuasion, deception) to shape Lila's overarching safety strategy. Engage in high-quality research initiatives as needed to evaluate and restrict scientific capabilities effectively. Qualifications for Success A Bachelor's degree in a relevant technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics) or equivalent experience. Proficient programming skills in Python and hands-on experience with machine learning frameworks (such as Inspect) for large-scale evaluations and structured testing. Demonstrated experience in constructing evaluations or conducting red-teaming exercises pertaining to CBRN/cyber risks or frontier model capabilities, encompassing both unsafe and benign attributes. Background in designing and/or implementing AI safety frameworks in cutting-edge AI enterprises. Exceptional ability to communicate intricate technical concepts and issues to audiences without technical expertise. Desirable Qualifications A Master’s or PhD in a field pertinent to safety evaluations of AI models within scientific areas or another technical discipline. Publications in AI safety, evaluations, or model behavior at leading ML/AI conferences (such as NeurIPS, ICML, ICLR, ACL) or model release documentation. Experience exploring risks arising from novel scientific advancements (e.g., biosecurity, computational biology) or utilizing specialized scientific tools (e.g., large-scale foundational models in science).
AbbVie Inc. is seeking an Associate Scientist II with a focus on In Vivo Pharmacology to join the team in Cambridge. This position supports research that aims to improve patient outcomes through new drug discovery. Role overview The Associate Scientist II will perform in vivo experiments and handle data analysis as part of ongoing research projects. Collaboration with colleagues from different scientific backgrounds is a key part of this role. Key responsibilities Conduct in vivo pharmacology experiments as part of drug discovery initiatives Analyze and interpret experimental data to support research goals Work closely with cross-functional teams to drive projects forward Location This position is based in Cambridge.
Apr 27, 2026
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