Bench Scientist

Iterative Health seeks a Staff Data Scientist based in either Cambridge, MA or New York, NY. This position centers on applying data science to enhance healthcare solutions. The role involves collaborating with professionals from various backgrounds and specialties. What you will do Analyze complex datasets to uncover patterns and insights that support decision-making across the company Build predictive models aimed at improving healthcare outcomes Work closely with cross-functional teams to translate data findings into actionable recommendations Location This role is open to candidates in Cambridge, Massachusetts or New York, New York.

Harvard University is seeking a dedicated and innovative Staff Scientist to join our dynamic research team in Cambridge. As a Staff Scientist, you will have the opportunity to engage in cutting-edge research, collaborate with leading experts, and contribute to groundbreaking discoveries that will shape the future of science.The successful candidate will demonstrate a strong commitment to research excellence and possess exceptional analytical skills. You will play a pivotal role in advancing our projects and mentoring junior researchers.

Harvard University's Department of Molecular and Cellular Biology seeks a Staff Scientist to join its research team in Cambridge. This role centers on advancing scientific understanding in molecular biology through direct involvement in research projects. Role overview The Staff Scientist will work closely with faculty and fellow researchers, contributing to the design and execution of experiments. Responsibilities include developing research strategies, conducting laboratory work, and analyzing experimental data. Collaboration Collaboration is a key part of this position. The team values open communication and shared problem-solving as they pursue new discoveries in molecular and cellular biology. Impact This role supports scientific progress by helping to shape and carry out experiments that expand the field's knowledge base. The work performed will directly influence ongoing and future research directions within the department.

We are seeking a talented and motivated Data Scientist to join our dynamic team at Integrated Resources, Inc. in Cambridge. As a Data Scientist, you will play a pivotal role in analyzing complex data sets, developing predictive models, and providing actionable insights that drive business decisions. You will leverage your expertise in statistical analysis and machine learning to help us enhance our products and services.Your contributions will directly impact our strategic initiatives and improve overall operational efficiency. If you are passionate about data and eager to make a difference, we invite you to apply and become part of our innovative team!

Teamwork makes the stream work. Roku is revolutionizing the way the world enjoys television.As the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is committed to empowering every television worldwide. We pioneered the streaming experience and strive to connect consumers with their favorite content, enable content creators to build and monetize expansive audiences, and offer advertisers unique opportunities to engage.From your first day at Roku, you will contribute significantly to our mission. We are a rapidly growing public company where every individual plays a crucial role. You will have the chance to delight millions of TV streamers globally while gaining invaluable experience across diverse disciplines. About the Role Roku is seeking a Senior Data Scientist to join our Core Analytics team, supporting the Viewer Product division. In this position, you will utilize data analytics to enhance our Live product. You will manage comprehensive analytics that influence how viewers discover, engage with, and return to Live experiences on Roku. Collaborating closely with product management and engineering, you will identify opportunities to create new features, drive their adoption, and generate value for Roku. This role requires an individual who is data-driven, detail-oriented, and possesses exceptional problem-solving skills. What You Will Be Doing

At RAND Europe, we are dedicated to enhancing policy and decision-making through meticulous research and analysis. As an independent, not-for-profit organization, our commitment to the public interest drives us to complete over 200 impactful projects each year, shaping policies and practices for the greater good.Our diverse team of approximately 200 professionals operates across offices in Cambridge, Brussels, and The Hague. Representing 22 nationalities and speaking more than 20 languages, our staff spans 31 academic disciplines, providing unique insights through multi- and inter-disciplinary research approaches for our government, foundation, and NGO clients.The Data Science Lab at RAND Europe serves as our center of excellence, focusing on the application of innovative data science tools and techniques. From artificial intelligence adoption to applied statistics, we are at the forefront of transforming research methodologies. We seek passionate individuals eager to contribute to our mission of advancing data science and its applications.As a Research Data Scientist, you will engage in various research themes, encompassing data gathering, pipeline construction, analysis, modeling, and effective visualization of findings for diverse audiences. Your contributions will include the creation of research tools and workflows, such as AI-driven solutions and numerical models, to address both research and operational challenges. Collaborating within a cross-disciplinary team, you will leverage your skills to tackle complex technical problems.

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.

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 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 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 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.

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).