Senior Scientist jobs at NORC at the University of Chicago - 915 jobs

The Basic Life Research Scientist at Stanford University conducts advanced experimental and computational research to study protein-RNA interactions at scale, integrating high-throughput sequencing with machine learning methods. This role involves designing and optimizing experimental protocols, analyzing data, preparing scientific reports, and mentoring junior lab members within a collaborative and inclusive environment. The position contributes to innovative genomic research with the goal of advancing knowledge in molecular biology and improving human health outcomes. The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies -from molecular to computational approaches- to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs. The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be . In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication. What we provide: Basic science research projects with potential for broad and sustained impact on pressing biomedical problems Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing A collaborative, inclusive, and supportive research environment Opportunities for authorship on research publications A team committed to continuous learning and scientific collaboration Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university CORE DUTIES: Research & Technical Development: Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows Troubleshoot complex experimental systems and maintain laboratory instrumentation Organize experimental data Data Analysis & Reporting: • Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication • Collaborate on data visualization and statistical analysis to support research conclusions Laboratory Leadership & Management: Develop and implement short- and long-term research strategies in collaboration with the Lab Head Train and mentor junior laboratory members in experimental techniques and data analysis methods Oversee laboratory operations including supply management, equipment maintenance, and safety protocols Prepare specifications for specialized equipment and coordinate procurement of some research supplies Required Qualifications: Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies Strong technical proficiency combined with scientific creativity and collaborative skills Ability to work independently while contributing effectively to team-based research goals Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward Ability to write and prepare reports or manuscripts for presentation to large audiences. Experience mentoring and training junior researchers Commitment to fostering an inclusive and collaborative research environment Preferred Qualifications: Experience with biochemical assays for protein-nucleic acid interactions Familiarity with computational analysis of next-generation DNA sequencing data Prior experience in technology development or method optimization Track record of scientific publications in peer-reviewed journals Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Please Note: • This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. • Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application. The expected pay range for this position is $75,000 to $96,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Keywords: protein-RNA interaction, genomic research, high-throughput sequencing, molecular biology, machine learning, biochemistry, structural biology, experimental design, data analysis, scientific publication

The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The research scientist will be a key member of a multidisciplinary team responsible for collection of multimodal brain data, including MR imaging, MEG, EEG, and eye tracking. The tentpole of the CBH is the first normative brain database in the region, featuring structural, functional, diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires. The anticipated appointment start date is May 1, 2026, with a guaranteed term of 18 months and the possibility of renewal based on performance. Responsibilities Explore scientific questions related to the normative brain database. Conduct data collection and processing of multimodal MR imaging, MEG, EEG, and eye tracking. Apply big‑data analysis techniques and advanced computational methods to brain imaging data. Collaborate with the multidisciplinary research team. Contribute to peer‑reviewed publications and scientific communication. Qualifications Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or an equivalent level of experience preferred. Extensive experience with multimodal MRI, including functional, structural, and tractography methods. Proficiency in big‑data analysis techniques. Experience with other large brain databases preferred. Strong computational skills and a solid publication record. Benefits Competitive salary and benefits. Housing allowance. Other benefits as specified in the employment terms. Application Instructions Cover letter. Curriculum vitae with a full publication list. Transcript. Statement of research interests. Three representative publications. Three letters of reference. All materials must be submitted in PDF format. Applications are accepted immediately; please submit through the NYUAD careers page at ************************************************************* For questions, contact ************** or **************************. UAE nationals are encouraged to apply. Equal Employment Opportunity Statement NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and achieve carbon neutrality by 2040. Learn more at nyu.edu/sustainability. #J-18808-Ljbffr

General Description We are seeking a highly motivated materials scientist to lead the materials processing and additive manufacturing (AM) efforts at the JHU's Materials Characterization and Processing center (MCP), a multi-user shared instrumentation facility in the Department of Materials Science and Engineering (DMSE), Whiting School of Engineering. The position will report to the Executive Director of the MCP and will involve outward facing activities with the broader JHU community, including the School of Medicine, as well as the international electron microscopy community. This is a non-tenure track faculty position of the DMSE funded at 100% FTE. Responsibilities Oversee and operate advanced materials processing instruments at the MCP (A laser powder directed energy deposition, and an ultrasonic metal atomizer). Train users on measurement techniques, proper operation of instruments, and sample preparation. Provide technical expertise, consultation, and collaboration for user research projects. Develop, investigate, and apply new procedures, instrumentation, and techniques. Assist preparation of research proposals, scientific papers, and conference presentations. Perform equipment maintenance and repairs to maximize equipment performance and availability. Troubleshoot hardware and software. Coordinate repairs with vendors. Develop, implement, and update user training procedures, instrument operation procedures, and equipment maintenance procedures. Participate in acquisition efforts for capital equipment and instrumentation including preparation of instrument acquisition proposals. Ensures project compliance with different policies, procedures, directives, and mandates. Stay apprised of developments in experimental instrumentation and technology gaps in AM Development of novel AM processes. Performs other related work as needed. Qualifications A PhD degree in Materials Science and Engineering, Metallurgical Engineering, Materials Engineering or closely related field is required with experience in additive manufacturing Preferred Qualifications Knowledge of technical, operational, user training, and maintenance requirements of a shared core user research instrumentation facility. - Experience with laser powder directed energy deposition or cold spray technology. Experience with 3D printing, 3D modeling, CAD design, laser cutting, and digital fabrication technologies. Experience with training and providing support to users at a core facility. Experience with science outreach programs. Additional Opportunities - Participate in conferences and engage with MCP users and the broader scientific community - Other professional development opportunities Application Instructions Qualified applicants should submit a curriculum vitae, a brief research statement (not to exceed two pages), and a list of at least three professional references. Review of applications will begin as soon as possible. To apply for this position, visit: apply.interfolio.com/169374 Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: benefits-worklife/. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [emailprotected]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion. Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit coronavirus/covid-19-vaccine/ and all other JHU applicants should visit health-safety/covid-vaccination-information/. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

General Description PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Research Engineering Technician - Materials and Structural Systems Division, Engineering Laboratory, NIST The work will entail: Provides essential technical support to various research projects conducted within the Division's laboratories by utilizing advanced precision research apparatuses and sophisticated measurement devices, in close collaboration with scientists and engineers. Contributes technical expertise to the development, evaluation, and refinement of research plans and experimental testing procedures, focused on advancing the understanding and measurement of material properties and material degradation mechanisms over time when exposed to environmental stressors including UV, temperature and RH. Oversees the coordination of technical teams by organizing and delegating complex experimental tasks, providing guidance to technicians, and ensuring the successful execution of research projects with a focus on material properties and degradation. Work impacts the reliability and accuracy of experimental data, providing critical support to scientific and engineering studies, contributing to advancements in materials degradation, informing decision-making, research publications, and the development of innovative measurement techniques and systems for service life prediction of materials. Key responsibilities will include but are not limited to: - Ensuring that analytical lab equipment is operating optimally, and performing troubleshooting as needed. Performing regular, extensive Preventive Maintenance on LECO Carbon-Sulfur Analyzer (Model CS744) to ensure availability, accuracy, and precision per manufacturer specifications. Performing regular configuration changes, alignment, calibration, and performance checks for Cary 5000 UV/Vis spectrophotometer. - Planning and conducting inspections, including calibrations, of existing and new equipment to ensure operability during testing phase. - Collaborating with researchers to develop effective schedules and plans so that measurements/fabrications are conceived and conducted effectively. This includes in person meetings, detailed email communications, preparation of power point presentations tailored to be delivered to other groups within the Division and external stakeholders. - Oversees the coordination of technical teams by organizing and delegating complex experimental tasks, providing guidance to other technicians, and ensuring the successful execution of experimental research projects related to pyrrhotite quantification in concrete aggregates, long-term performance of polymeric components of photovoltaic systems, and innovations in accelerated UV aging using Simulated Photodegradation via High-Energy Radiant Exposure. - Collecting data and refining specific project designs in a manner consistent with the project's needs and performing data analysis on collected data to ensure adherence to existing standards or for the development of new standards on materials and structural performance. - Conducting administrative tasks (such as procurements, service agreements, repairs) to effectively maintain laboratory operations. This includes in depth market research to acquire new laboratory equipment, establishing the technical specifications a product must meet to accurately define and identify it. - Communicate research results to industry, including authoring or co-authoring technical papers and preparation and presentation of research posters at academic conferences and industry workshops. - Identifying and pursuing training opportunities to enhance proficiency in supporting the technical work associated with the Division's projects. This includes actively seeking out professional development programs, certifications, workshops, and hands-on training sessions that align with the division's technical objectives. - Systematically identifying risks, hazards and/or unsafe situations or practices and contribute to hazard identification and risk assessment system responsibilities relevant to the job. Develop comprehensive hazard reviews (HR) and job hazard analysis (JHA) documents to proactively identify, evaluate, and address potential safety risks associated with laboratory activities. This process includes assessing tasks, equipment, and procedures to ensure compliance with safety standards and regulations, while implementing effective controls to mitigate risks. Qualifications * A Master's degree in Chemistry or a related Engineering field. * 5+ years of relevant experience. * Advanced knowledge of conducting quantitative laboratory weathering experiments using Simulated Photodegradation via High-Energy Radiant Exposure. * Advanced knowledge of degradation mechanisms of polymeric photovoltaic backsheet utilizing non-destructive chemical, optical, and microscopic techniques, including: attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy, micro-ATR-FTIR spectroscopy, ultraviolet/visible (UV/Vis) spectroscopy, confocal microscopy, and color and gloss measurement. * Experienced in using software like Python, LabTalk and Origin for experimental automation and FTIR data analysis, including spectral deconvolution. * Experienced in test equipment design, troubleshooting and repair of laboratory equipment, and computer automation of experiments * Ability to safely operate power tools, forklifts, and overhead cranes, as well as maintenance of analytical instruments and systems to support laboratory operations. * Additional skills in Microsoft Office applications, such as Excel, PowerPoint, and Word, for data analysis and reporting. * Strong oral and written communication skills. Application Instructions Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken Sex/Gender Privacy Act Statement Authority: 15 U.S.C. * 278g-1(e)(1) and (e)(3) and 15 U.S.C. * 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP)which isdesigned to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREPis a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. To apply for this position, visit: apply.interfolio.com/180161 Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: benefits-worklife/. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [emailprotected]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit coronavirus/covid-19-vaccine/ and all other JHU applicants should visit health-safety/covid-vaccination-information/. The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

General Description PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research title: Contributions to voluntary consensus standards on artificial intelligence The work will entail: Supporting the NIST artificial intelligence research and evaluation programs in contributing to standards developing organizations (SDOs) Key responsibilities will include but are not limited to: Identifying SDO projects, committees, or calls for input to which NIST experts should contribute. Crafting NIST written contributions to those projects, committees, or calls for input. Distributing SDO materials and potential NIST contributions to other NIST experts for input and review. Submitting NIST contributions in a timely fashion. Attending SDO committee meetings, including international meetings, to discuss contributions from NIST, other U.S. contributors, and international contributors. * Sharing information about contributions and standards activities with interested NIST experts. * If applicable, acting as an editor or in another leadership capacity for standards projects. Qualifications * A Master's degree in Computer Science or a related field, OR a Bachelor's degree in such a field and professional experience equivalent to a Master's degree in such a field. * Familiarity with machine learning methods, including hands-on implementation experience with at least two machine learning-driven systems. * Familiarity with AI governance guidelines such as the NIST AI Risk Management Framework. * Strong oral and written communication skills, including both envisioning structure and content for nascent documents and line editing mature documents for technical precision and readability. Application Instructions Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. * 278g-1(e)(1) and (e)(3) and 15 U.S.C. * 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP)which isdesigned to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREPis a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. To apply for this position, visit: apply.interfolio.com/172440 Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: benefits-worklife/. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [emailprotected]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion. Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit coronavirus/covid-19-vaccine/ and all other JHU applicants should visit health-safety/covid-vaccination-information/. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

General Description PREP Research Associate Project Description This project focuses on using Large Language Models (LLMs) to provide annotations of evaluation data (a.k.a., LLM as judge), and the design of an Inter-Annotator Agreement study to assess the reliability of both human and LLM annotations. The candidate will explore assessing the indicators of a given AI-related risk, determining how to identify them, and providing annotators with examples to annotate the presence of various risks. The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at NIST in assessing and measuring the validity and reliability of AI-related risks in data annotation. Research Title Reliability of Human and LLM Annotations for AI Risk Assessment Key Responsibilities - Gain familiarity with existing literature on data annotation and LLM as judge - Understand NIST's role and ongoing efforts in assessing and measuring the validity and reliability of AI-related risks in data annotation - Contribute to developing an annotation framework for AI risk assessment - Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables Contributions to a NIST report that supports ongoing NIST AI evaluation efforts focused on the design of an Inter-Annotator Agreement to assess the reliability of both human and LLM annotations. Qualifications Background in Computer Science, Data Science, or related field. Education level : undergraduate or graduate student Strong interest in data annotation and AI risks Familiarity with scientific reading and technical writing Number of Positions: 1 The details of the work arrangement can be discussed and agreed upon, but the position is expected to be primarily telework-based, with some in-person meetings at NIST's Gaithersburg campus as needed. Average Hours Per Week: 20 Application Instructions Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. * 278g-1(e)(1) and (e)(3) and 15 U.S.C. * 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use the information you submit for the purpose stated. To apply for this position, visit: apply.interfolio.com/171263 Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: benefits-worklife/. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [emailprotected]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion. Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit coronavirus/covid-19-vaccine/ and all other JHU applicants should visit health-safety/covid-vaccination-information/. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

General Description PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Guidelines Development for Smart IoT Product Security The work will entail: - Development of guidelines for Smart IoT products security across the lifecycle from product development and manufacturing through use and operation to maintenance and end of life. - Identifying the interaction of IoT product components with AI engines (i.e., providing data to feed models which in turn identify autonomous actions for the IoT product to take) and the cybersecurity risks of each step of this interaction - Updating and completing CSWP 33 Product Development Cybersecurity Handbook: Concepts and Considerations for IoT Product Manufacturers to incorporate products with AI components Key responsibilities will include but are not limited to: Updating analysis of international IoT cybersecurity standards and guidance identifying common elements and unique contributions for consideration Identifying risk modeling and management methods that are applicable for IoT products with AI components Identifying cybersecurity and privacy implications of the convergence of IoT and AI Presenting results at internal meetings, and occasional meetings with external stakeholders. Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. Position is Remote. Qualifications ? A Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Systems Engineering, Industrial Design or Engineering, Manufacturing, Engineering Management, Technical policy or related field. ? 6 years of relevant experience. ? Familiarity with IoT product development processes ? Familiarity with autonomous systems ? Familiarity with artificial intelligence systems ? Familiarity with cybersecurity guidance and standards ? Strong oral and written communication skills Application Instructions Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Languages spoken Privacy Act Statement Authority: 15 U.S.C. * 278g-1(e)(1) and (e)(3) and 15 U.S.C. * 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP)which isdesigned to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREPis a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. To apply for this position, visit: apply.interfolio.com/177082 Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: benefits-worklife/. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [emailprotected]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion. Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit coronavirus/covid-19-vaccine/ and all other JHU applicants should visit health-safety/covid-vaccination-information/. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Job Title Semiconductor Nanocalorimetry Senior Researcher Division Research & Economic Development Department NIST PREP Work Status Full Time Position Category Contractual Faculty Rank Open Rank FLSA Pay Range Contractual Salary Range $100,000 / year Fund Source Federal/Grant Job Summary A research scientist role working to advance our capabilities in nanocalorimetry, including developing methods for applying the technique to in situ monitoring of semiconductor processes. The major responsibilities of the candidate will include implementing chip-based nanocalorimeters on atomic layer deposition (ALD) processes to measure the thermochemistry of surface reactions. Job Duties * Operating and maintaining research-grade ALD equipment * Maintaining vacuum system, including precursors and pumps * Setting up and operating calorimetric and optical instrumentation, including data collection systems * Setting up and operating complementary in situ measurements to aid in calorimetric data interpretation * Modeling time-resolved calorimeter thermal response to extract physical quantities (e.g. heats of adsorption, reaction, etc.) * Analyzing deposited films using analytical techniques, as needed * Working in a multi-disciplinary team comprised of experts in ALD processes, metrology development, and computational modeling * Regularly reporting research findings to project team and advisor(s) * Publishing in peer-reviewed scientific journals and presenting at conferences Knowledge, Skills, Abilities & Other Characteristics * Expertise in building and operating custom lab instrumentation * Expertise in vapor phase deposition processes, such as ALD * Strong written and oral communication skills * Ability to work as part of a team and independently Required Minimum Qualifications * Ph.D. or equivalent experience in chemistry, physics, materials science, or related field Other Preferences for Consideration

The Division of Immunology and Rheumatology in the Department of Medicine at Stanford University is seeking a scientist or physician-scientist wet lab, translational, or informatics investigator at the rank of Assistant, Associate or Full Professor with translational and mechanistic research expertise and interest in one or more of the following areas: autoimmune disease, immunologic mechanisms of disease, genomics, other "omics" research, pre-clinical models of disease, informatics, clinical trials and/or other areas of translational research in autoimmune, inflammatory, and/or rheumatic disease. The candidate must hold a MD, PhD, or MD/PhD or equivalent. Although board-eligibility or board-certification is desired, board-eligibility or board-certification is not required. The applicant must be qualified for appointment to a faculty position at Stanford University. The position will be in the University Tenure Line (UTL) or University Medical Line (UML), with the expectation that time will be split among research, mentoring/teaching activities, and clinical activities (for those with the appropriate training). The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching. The major criteria for appointment for faculty in the University Medical Line shall be excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill. Faculty rank and line will be determined by the qualifications and experience of the successful candidate. The successful candidate will be expected to have outstanding research (or potential of outstanding research), clinical and/or teaching skills. The candidate is required to contribute to the research programs, and either have an established track record of funded research or have demonstrated the ability or shown the potential to obtain peer-reviewed research funding relevant to diverse areas, within inflammatory disease, autoimmune disease, and/or rheumatic disease. The position will be based at Stanford University Medical Center. Stanford University School of Medicine is a national leader in the development and training of physician scientists beginning in medical school and continuing into postgraduate training and transition to junior faculty. The Department of Medicine's robust research residency program in internal medicine is one of 14 research residencies in the School of Medicine which are linked with one of the nation's top MSTPs as well as one of the largest MD-only medical student research programs in the country. Newly-independent physician scientist faculty will be required to participate in existing School of Medicine and Department of Medicine career development programs to nurture their own careers. Senior faculty will be expected to serve as mentors and sponsors for aspiring physician scientists and for junior faculty. Interested candidates should upload their curriculum vitae, a cover letter outlining their achievements in mentoring/teaching and research, and the names of three references (who will not be contacted without prior consent) and complete the application at: imm-rheum-scientist-or-physician-scientist (************************************************************************************************************************* Contact Alyssa Albin, Faculty Affairs Administrator for Recruitment, at ******************* for more information. Applications will be reviewed beginning **November 1, 2025,** and accepted until the position is filled. The expected base pay for this position is: Assistant Professor: $269,000 - $280,000 Associate Professor: $288,000 - $301,000 Professor: $310,000 - $353,000 This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation indepartmental incentive compensation programs. For more information about compensation and our wide-range of benefits (***************************************************** , including housing assistance (************************** , please contact the hiring department. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs. _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact_ _disability.access@stanford.edu_ _._ _The university's central functions of research and education depend on freedom of thought, and expression. The Department of Medicine, School of Medicine, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values._

The Ken and Ruth Davee Department of Neurology at Northwestern University Feinberg School of Medicine seeks a full-time non-tenure-eligible Team Scientist at the rank of Assistant Professor or Associate Professor. Responsibilities include: * Close engagement in research and/or educational missions of the Department and the Medical School. Successful candidate on this track is not expected to perform clinical work but is expected to contribute to our education and service missions. * Providing consultation services to other research and clinical faculty on study design, advanced statistical and computational aspects of data analysis, and interpretation of the data. * Development and advancement of an independent research program that complements the focus of our department and division of Stroke and Neurocritical Care. Successful candidate will have demonstrated skills, expertise, and experience commensurate with the responsibilities. Required qualifications include: * A terminal degree (MD or PhD) and post-doctoral research experience in a relevant field, with a focus that intersects neurological and quantitative sciences * At least three years of experience at the rank of Assistant Professor or higher * Demonstrated experience in research in a medical school setting and in clinical translational research * A strong track record of scholarship in independent as well as collaborative research in vascular neurology and/or vascular physiology, in medical imaging and image analysis including Transcranial Doppler Ultrasound, and in machine learning for medical applications * Expertise in biostatistics, biomedical informatics, and other qualitative and quantitative research methodologies contributing to basic and clinical studies. The start date is negotiable and the position will remain open until filled. When applying, please upload a CV and cover letter describing your interest and alignment with the position. Also upload this completed list of references form to suggest the names of individuals who could write letters of reference on your behalf. Please read ALL instructions and make preparations before proceeding to the application page: * Applications will only be accepted via online submission (see link below). * Please prepare all documents in advance as Adobe PDF files, and please be sure all information is entered correctly and accurately (especially names and email addresses), as there will be no opportunity for online revision after your application has been submitted. * All required fields in the application form are marked with an asterisk and must be filled before clicking the "Submit" button. * Be aware that incomplete applications cannot be saved. Applications accepted here: Apply for Job Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process.

How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Job Summary We are seeking a candidate to fill a Research Investigator position in Prof. Xudong Fan's lab in the Department of Biomedical Engineering at the University of Michigan. This position starts on May 1, 2026 with a duration of one year. It is renewable pending performance and funding. The details of the position can be found in the subsequent section. For the Fan lab, please visit ****************************** Prof. Fan can be reached by his email at [email protected]

The Marsal Family School of Education at the University of Michigan invites applications for a full-time Research Investigator to work on an innovative project funded by the Bill and Melinda Gates Foundation. The project, led by PI Jamaal Matthews (University of Michigan) and co-PI Nia Nixon (University of California, Irvine), focuses on developing and deploying Generative AI (GenAI) tools to support secondary mathematics teachers' professional learning through equity-centered coaching. The project abstract is below. The successful candidate will play a key role in advancing the project's research objectives, which include: Developing GenAI models to code mathematics instruction based on the seven dimensions of Belonging-Centered Instruction (BCI). Creating AI models capable of coding video-recorded secondary mathematics instruction for generating a strengths and improvement assessment to guide human-facilitated teacher coaching. Designing AI-driven learning modules that can suggest culturally relevant and sustaining instructional strategies (as well as point to examples of enactment) for supporting secondary mathematics teachers' professional learning and instructional improvement. This is a two-year appointment, with the option for a third year renewal, anticipated to start in summer 2025. The position will be based in the Eileen Lappin Weiser Center for Learning Sciences in the Marsal School of Education at the University of Michigan. The research investigator will report directly to Jamaal Matthews and Nia Nixon; however, in year one they will also spend 30% of their weekly time working with Rebecca Quintana and Christopher Quintana on their “ready to hand” GenAI tools project and 10% of their weekly time for integrated collaborative work with the center. The Eileen Lappin Weiser Center for Learning Sciences at the University of Michigan is a vibrant hub for innovation and research in education. It offers a multidisciplinary environment for collaboration with experts in psychology, neuroscience, education, and technology. The center is equipped with state-of-the-art facilities and resources that support cutting-edge research in learning sciences. Scholars within the center are encouraged to explore diverse methodologies and apply their work to real-world education challenges, fostering both academic growth and practical impact. The center's collaborative culture, combined with access to thought leaders and a supportive community, makes it an ideal environment for emerging scholars to thrive and contribute to meaningful advancements in learning sciences. A Ph.D. (or equivalent) in Computer Science, Education, Learning Analytics, Data Science, Artificial Intelligence or related fields. Demonstrated expertise in Natural Language Processing (NLP) and/or machine learning, with experience training and deploying models. Strong coding skills and expertise with large language models. Deep knowledge of at least one programming language, Python, Java, C++ Experience with Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience in prompt techniques, zero-shot prompting, fine-tuning, etc, using LLMs through APIs Record of independent research resulting in high-quality publications and evidence of growing citation impact. High-level communication skills and ability to represent data in various ways to communicate findings to diverse audiences. Sound interpersonal skills, including demonstrated ability to effectively collaborate with team members, other colleagues in the Eileen Lappin Weiser Center for the Learning Sciences, and external parties.

How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Job Summary NOTE: This position is term-limited for 21 months (through November 2027). The laboratory of Roger Cone at the Life Sciences Institute (LSI) is looking for a Research Investigator to oversee a research project focused on the preclinical discovery and development of melanocortin neuropeptides. These studies will require considerable expertise and research experiences in neurobiology and cell culture, including development and culture of differentiated neuronal cell lines, and assays of these lines for neuronal function and activity. You will oversee research performed by students and research technicians, report directly to Dr. Cone and perform your work onsite at the LSI. Mission Statement The Life Sciences Institute

Description & Details: The Veterinary Diagnostic Laboratory at North Dakota State University invites applications for a non-tenure track position in veterinary toxicology. Primary responsibilities are diagnostic service, consultation with laboratory clientele, and supervision as section head of toxicology. Depending on the interest of the toxicologist, opportunities for teaching, interaction with NDSU faculty and other scientists, and collaborative research exist. Work Schedule: M-F 8am-5pm Hiring Range: Pay is based on several factors, including budget, labor market, prior experience, skills, knowledge, abilities, education, licensure and/or certification and other business considerations. Minimum Qualifications: * DVM degree or PhD in a related field * Post-graduate training or experience in toxicology * Effective interpersonal, oral and written communication skills Preferred Qualifications: * DVM or PhD in analytical chemistry * Experience in veterinary practice and veterinary diagnostics * DABVT or DABT certification, eligibility or partial completion of boards * Graduate of AVMA-accredited college of veterinary medicine or equivalence certification * Personnel management experience * Experience with liquid and gas chromatography/mass spectrometry and ICP-mass spectrometry * Experience with quality assurance system * Interest in training residents Applicant Materials Required: CV and Cover Letter Screening will begin 2/15/26 NDSU OFFERS EXCELLENT BENEFITS! Full time employees are eligible for the following benefits: Health Insurance coverage with 100% of the premium paid for by NDSU for Single or Family Plan Option of a PPO/Basic Plan or High Deductible Health Plan with Health Savings Account Benefits begin the first of the month following date of hire Wellness benefits are included for healthy lifestyle participation Superb Retirement Plan Employer Contributions range from 7.5% - 12.26% based on position Basic Term Life Insurance Tuition Waivers for Employee (three classes per calendar year) Tuitions Waivers for Spouse/Partner & Dependents (eligible for 50% waiver) Paid Leave - including Annual leave, Sick Leave and 10 paid Holidays Employee Assistance Program Optional benefits include: Supplemental Life, Dental, Vision, Long-term care insurance, Flexible Spending Account (Health & Dependent Care) and Supplemental Retirement Plans More Detailed Information Here: Benefits | Human Resources | NDSU About Us: North Dakota State University is distinctive as a student focused, land-grant, research university. We educate leaders who solve national and global challenges by providing affordable access to an excellent education that combines teaching and research in a rich learning environment. NDSU is in the highest Carnegie Classification of Institutions of Higher Education, R1, granted to the top research institutions in the country. NDSU has offices across the state of North Dakota, and the main campus is in Fargo, on the Minnesota border. Along with Moorhead, Minnesota, Fargo forms one of the largest metropolitan centers between Minneapolis and Seattle. The community is consistently ranked as one of the best places to live. NDSU is committed to fostering a community where differences are recognized as strengths. Rooted in our land-grant mission, we work together to meet the needs of North Dakota and its communities through education, research and outreach. Equal Opportunity Statement: NDSU does not discriminate in its programs and activities on the basis of age, color, gender expression/identity, genetic information, marital status, national origin, participation in lawful off-campus activity, physical or mental disability, pregnancy, public assistance status, race, religion, sex, sexual orientation, spousal relationship to current employee, or veteran status, as applicable. Direct inquiries to: Vice Provost, Title IX/ADA Coordinator, Old Main 201, NDSU Main Campus, Fargo, ND, 58108, ************, ******************. No Smoking Notice: As an employer, the State of North Dakota prohibits smoking in all places of state employment in accordance with N.D.C.C. § 23-12-10. Veteran's Preference Notice: This position is subject to North Dakota Veteran's Preference requirements. Reasonable Accommodation Information: North Dakota State University is committed to providing access and reasonable accommodation in its services, programs, activities, education, and employment for individuals with disabilities. To request disability accommodation in the application process, please contact Human Resources at ************ or ****************.

Details The Cancer Biostatistics Shared Resource at Huntsman Cancer Institute and the Study Design and Biostatistics Center ( SDBC ) in the Division of Epidemiology at the University of Utah invite applications for a faculty position at the Assistant or Associate Professor level in the Research or Tenure Track. We are seeking candidates with the research skills and experience required to assume leadership roles in multi-disciplinary research teams successfully and to support and develop grant proposals. The successful candidate will have opportunities to participate in methodological research. Substantive interest and experience are desired in one or more of the following areas: methods for cancer research, modern causal inference, behavioral statistics, pharmacological research, clinical trial design, analysis of secondary data, machine learning, and high dimensional data analysis, and applications of mixed effects models to health data. This position will have its academic home in the Division of Epidemiology in the Department of Internal Medicine. The Cancer Biostatistics Research supports cancer-related research with the Huntsman Cancer Institute. The SDBC is the statistical core of the Translational Research: Implementation, Analysis and Design ( TRIAD ) Team, which is a multidisciplinary group of biostatisticians, epidemiologists, psychometricians, health economists, survey design researchers, systematic review experts, and qualitative researchers engaged in a wide range of collaborations throughout the Health Science Center of the University of Utah. Focus areas of the Cancer Biostatistics Resource and the SDBC include the design and analysis of clinical trials and observational studies, cancer research, analysis of longitudinal and survival data, epidemiologic modeling, Bayesian analysis, modern causal inference, statistical genetics and genomics, machine learning methods, and behavioral statistics and psychometrics. Required Qualifications: PhD in biostatistics or related discipline, demonstrated excellence in collaborative and methodological research, experience writing statistical sections for grant applications. Contact for Inquiries: Brian Rood, *********************** Please apply online here - ******************************************** The University of Utah is in beautiful Salt Lake City, which offers an outstanding quality of life in a metropolitan area of 1.5 million residents, nestled in the foothills of the Wasatch Mountains. Utah's great outdoors are nearby, offering world-class skiing, hiking, and mountain biking activities in the spectacular surrounding canyons. The city is vibrant and cosmopolitan, with theater, the arts, sports, and nightlife. The area has received international recognition for its light rail system, downtown, library system, and increasing diversity. Salt Lake City is home to sizable Latinx and immigrant populations (21.5% and 11.5% of residents, respectively). More than a third of Utah's ethnic/racial minorities are children or youth under the age of 18 years, and the Salt Lake City School District is now a majority-minority district, with one in five Salt Lake County residents speaking a language besides English at home. The International Rescue Committee, headquartered in Salt Lake, is one of eight national resettlement committees committed to helping people with refugee status thrive in the United States. Per capita, Salt Lake City has the 11th largest LGBTQ population in the US and, among large US cities, has the highest percentage of same-sex couples (26 percent) raising children. The University of Utah Health (U of U Health) is a patient focused center distinguished by collaboration, excellence, leadership, and respect. The U of U Health values candidates who are committed to fostering and furthering the culture of compassion, collaboration, innovation, accountability, diversity, integrity, quality, and trust that is integral to our mission.

Details Biometrics / Biostatistics Faculty Investigator, Tenure or Research Track Dependent on Experience The Study Design and Biostatistics Center ( SDBC ) and the Division of Epidemiology at the University of Utah invites applications for a faculty position at the Associate or Full Professor-level in either the Tenure or Research Track. We are seeking candidates with the research skills and experience required to successfully assume a leadership role in the SDBC , to provide statistical support for the development of grant proposals, and play the role of the lead statistician on multidisciplinary research efforts. The successful candidate will have opportunities to participate in methodological research and teaching. Substantive interest and experience is desired in one or more of the following areas: modern causal inference, secondary data analysis, clinical trial design, machine learning and high dimensional data analysis, applications of mixed effects models to health data, behavioral statistics, psychometrics and pharmacological data analysis. The SDBC is the statistical core of the Translational Research: Implementation, Analysis and Design ( TRIAD ) team, which is a highly multidisciplinary group of biostatisticians, epidemiologists, psychometricians, health economists, survey design researchers, systematic review experts, implementation scientists and qualitative researchers engaged in a wide range of collaborations throughout the University of Utah and elsewhere. The SDBC currently includes 7 PhD and 17 MS level biostatisticians, as well as several PhD statistics students. Focus areas of the SDBC and the broader TRIAD team include the design of clinical trials and observational studies, analysis of longitudinal and survival data, epidemiologic modeling, Bayesian analysis, modern causal inference, statistical genetics and genomics, machine learning methods, health economics, survey design, systematic reviews, behavioral statistics and psychometrics, implementation science and qualitative research. TRIAD at the University of Utah: We are a multidisciplinary group of biostatisticians, epidemiologists, psychometricians, health economists, survey design researchers, implementation scientists and systematic review experts engaged in a wide range of collaborations throughout the University of Utah and affiliated institutions. Focus areas of TRIAD include the design of clinical trials and observational studies, analysis of longitudinal and survival data, epidemiologic modeling, Bayesian analysis, modern causal inference, statistical genetics and genomics, machine learning methods, health economics, survey design, methods for the design, conduct and analysis of systematic reviews, behavioral statistics and psychometrics, and qualitative research. The University Utah is the state's largest institution of higher education featuring an innovative research community which is number one in the nation at creating startup companies based on student and faculty research. As a preeminent research and teaching university with national and global reach, the University of Utah provides a wide range of opportunities for personal and professional growth in educational, research, and clinical environments. The University is nestled in the Wasatch mountains overlooking Salt Lake City with breathtaking views and hiking trails directly adjoining the SDBC offices. Our city is famous for its wide range of outdoor activities including skiing (with 7 world class ski resorts and home of the 2002 Winter Olympics), hiking , mountain biking , rock climbing , hang gliding all within one hour. Eight national parks, over a dozen national monuments and recreation areas, and numerous national forests are within a half-day's drive. At the same time, the Salt Lake City/Ogden metropolitan area is the state capital with 1.7 million people, and a major cultural hub of the intermountain west with year round urban activities. A Ph.D. in biostatistics or a related discipline is required, as well as a demonstrated excellence in collaborative and methodological research. Experience writing statistical sections for grant applications is required. Candidates should apply at the following link: ******************************************** Inquiries may be emailed to *************************. This position will remain open until a successful candidate is identified or the search is closed. The University of Utah Health (U of U Health) is a patient focused center distinguished by collaboration, excellence, leadership, and respect. U of U Health values candidates who are committed to fostering and furthering the culture of compassion, collaboration, innovation, accountability, diversity, integrity, quality, and trust that is integral to our mission.

Details The Study Design and Biostatistics Center ( SDBC ) and the Cardiovascular Medicine Division in the Department of Internal Medicine at the University of Utah invite applications for a faculty position at the Assistant Professor or Associate Professor Rank in the Research or Tenure Track. We are seeking candidates with the research skills and experience required to successfully assume roles in multi-disciplinary research teams, support and develop grant proposals, and provide guidance and mentorship to master's trained biostatisticians as well as undergraduate and graduate students. The successful candidate will collaborate with clinical faculty researchers in the Cardiovascular Medicine Division and will have opportunities to participate in methodological research. Substantive interest and experience are desired in one or more of the following areas: methods for cardiology research, modern causal inference, clinical trial design, analysis of secondary data, machine learning and high dimensional data analysis, and applications of mixed effects models to health data. Support is available for candidates interested in independent methods research and career progression for those applicants who wish to pursue external funding. The SDBC is the statistical core of the Translational Research: Implementation, Analysis and Design ( TRIAD ) Team, which is a multidisciplinary group of biostatisticians, epidemiologists, psychometricians, health economists, survey design researchers, systematic review experts and qualitative researchers engaged in a wide range of collaborations throughout the Health Science Center of the University of Utah. Focus areas of the SDBC include the design and analysis of clinical trials and observational studies, modern causal inference, machine learning methods, analysis of longitudinal and survival data, epidemiologic modeling, Bayesian analysis, statistical genetics and genomics, and behavioral statistics and psychometrics. The University of Utah has state-of-the-art labs and excellent support staff within a vibrant academic setting. Primary academic appointments will be in the Department of Medicine. Compensation will be based on academic rank, administrative, and educational experience. Rank and Track will be determined based on qualifications. The review begins immediately, continuing until the position is filled or the search is closed. Minimum Qualifications: Ph.D. in biostatistics or a related discipline is required, as well as a demonstrated excellence in collaborative and methodological research. Experience writing statistical sections for grant applications is desired. Preferred Qualifications : Prior experience in biomedical or cardiovascular research is desirable but not required. Prior experience in the analysis of large administrative data sets is desirable but not required. Contact for Inquiries: James C. Fang, MD Professor and Chief, Division of Cardiovascular Medicine C/O Audra Woolley, MBA Director, Healthcare/Clinical ************************** Please include a Cover Letter, CV, summaries of research accomplishments (1 page) and future research plans (up to 2 pages) and contact information for three references. Apply at this link : ******************************************** The University of Utah is in beautiful Salt Lake City, which offers an outstanding quality of life in a metropolitan area of 1.5 million residents, nestled in the foothills of the Wasatch Mountains. Utah's great outdoors are nearby, offering world-class skiing, hiking, and mountain biking activities in the spectacular surrounding canyons. The city is vibrant and cosmopolitan, with theater, the arts, sports, and nightlife. The area has received international recognition for its light rail system, downtown, library system, and increasing diversity. Salt Lake City is home to sizable Latinx and immigrant populations (21.5% and 11.5% of residents, respectively). More than a third of Utah's ethnic/racial minorities are children or youth under the age of 18 years, and the Salt Lake City School District is now a majority-minority district, with one in five Salt Lake County residents speaking a language besides English at home. The International Rescue Committee, headquartered in Salt Lake, is one of eight national resettlement committees committed to helping people with refugee status thrive in the United States. Per capita, Salt Lake City has the 11th largest LGBTQ population in the US and, among large US cities, has the highest percentage of same-sex couples (26 percent) raising children. The University of Utah Health (U of U Health) is a patient focused center distinguished by collaboration, excellence, leadership, and respect. The U of U Health values candidates who are committed to fostering and furthering the culture of compassion, collaboration, innovation, accountability, diversity, integrity, quality, and trust that is integral to our mission.

Sr Bioinformatics Scientist - (25000388) Description The Senior Bioinformatics Scientist, serving as Assistant Director of the BTI Bioinformatics Core, is a leadership-level role requiring a Ph. D. in a biological or computational discipline and 8-15 years of relevant experience (inclusive of doctoral work). Reporting to the Director of the BTI Bioinformatics Core, this position provides scientific and technical leadership as the Core's primary “go-to” expert for methodological guidance, code standards, QC frameworks, and pipeline development, while mentoring Bioinformatics Scientists and supporting Core infrastructure. The role is split between 50% scientific oversight, project guidance, and code review and 50% hands-on computational biology analyses for the Rare Brain Tumor Program. The ideal candidate demonstrates deep technical expertise, collaborative leadership, and a commitment to open, reproducible science, with substantial pediatric oncology genomics experience, strong biological insight, and the ability to both embrace learning CNS tumor biology and guide the computational direction of multiple PIs' research programs. Qualifications Minimum EducationDoctor of Philosophy (Ph. D. ) Biological or computational discipline (Required) Minimum Work Experience8 years 8-15 years in applied bioinformatics, genomics, and computational work (can be inclusive of relevant computational Ph. D. dissertation years) (Required) Required Skills/KnowledgeTechnical Skills• Advanced proficiency in UNIX/Linux environments. • Expert-level programming and data analysis skills in R, Python, or equivalent. • Deep experience with NGS, microarray, multi-omics, and other high-throughput platforms and their application to specific biological questions. • Expertise with a broad range of bioinformatics tools, pipelines, and genomic databases, such as GATK, UCSC Genome Browser, Bioconductor, ENCODE, NCBI, Kids First, gnom AD, ClinVar, OMIM, HGMD, and COSMIC. • Demonstrated expertise in GitHub, containerization (Docker, Podman, and/or Singularity), and workflow automation. • Strong grasp of workflow management tools (e. g. , Snakemake, Nextflow, WDL, CWL). • Expertise using high-performance computing (HPC) environments and/or cloud platforms (e. g. , AWS, Google Cloud) for large-scale analyses. • Ability to develop user-facing bioinformatics applications using tools such as RShiny or Python Streamlit. Scientific & Analytical Skills• Demonstrated ability to design and execute robust statistical analyses across diverse genomic and proteomic data types. • Deep expertise interpreting and visualizing results in biological or clinical contexts. • Deep domain expertise in at least one disease area or biological system through publications, pipelines, tools, and/or open-source contributions. • Experience writing scientific manuscripts, figure and methods development, and manuscript authorship. Collaborative and Professional Skills• Ability to lead complex interdisciplinary projects and guide teams from analysis to publication. • Strong mentorship skills and demonstrated ability to train junior scientists and analysts. • Excellent organizational, communication, and presentation skills. • Proven ability to interact effectively with investigators, clinicians, laboratory staff, peers, and institutional leadership. • Commitment to open and team science practices, including transparency, reproducibility, shared documentation, and collaborative problem-solving. • Familiarity with project management tools and methodologies such as Scrum, Agile, Jira, GitHub Projects, Trello, or Asana to coordinate timelines, tasks, and deliverables across teams. Functional AccountabilitiesResponsible Conduct of Research (RCR) Uphold the highest ethical standards and integrity in all scientific activities. Ensure data privacy and patient confidentiality standards. Maintain reproducibility and transparency in code, workflows, and documentation. Properly cite software tools, data sources, and collaborators. Comply with institutional policies and federal regulations governing research and data use. Bioinformatics Analysis & Method DevelopmentLead the development and implementation of novel and optimized workflows for large-scale -omic datasets. Design rigorous statistical frameworks that align with study goals and clinical hypotheses. Collaborate with investigators to determine the most effective computational approaches to complex problems with biological context. Contribute significantly to high-impact publications and grant proposals. Technical Oversight & TroubleshootingResolve advanced, multi-layered bioinformatics and workflow issues independently. Design scalable, sustainable solutions to recurring analysis or infrastructure challenges. Serve as technical advisor to junior bioinformatics staff, providing design, optimization, and troubleshooting support. Scientific Communication & Grant SupportLead preparation of figures, written analysis, and supplemental methods for manuscripts, grants, and collaborators. Clearly present findings and strategy in lab/collaborator meetings, present journal clubs, and attend scientific conferences. Provide strategic guidance to principal investigators on computational planning in proposals. Leadership Collaboration and MentorshipPartner with investigators, clinicians, project leads, and other bioinformatics staff to define project goals, analysis strategies, coordinate data workflows, and support scientific goals. Lead multidisciplinary bioinformatics collaborations from project inception through delivery. Mentor junior scientists and analysts in bioinformatics methods, code quality, and scientific interpretation. Foster a culture of scientific rigor, reproducibility, and learning. Contribute reusable, well-documented code to team repositories. Coordinate timelines and deliverables using project management tools (e. g. , Jira, GitHub Projects, Asana) and collaborative workflows. Innovation, Open Science, & Community EngagementContribute to and lead the development of open-source software, reproducible workflows, and institutional tooling. Stay abreast of innovations in bioinformatics tools, databases, and standards. Organize and develop training workshops, tutorials, and best-practice guides to advance team-wide and institutional bioinformatics capacity. Deepen domain-specific expertise (e. g. , pediatric cancer, neurodevelopment, rare disease) through literature synthesis, collaborations with subject matter experts, and community engagement. Represent the organization in consortia, workshops, and national/international scientific forums. Guide institutional practices in reproducibility, open science compliance, and infrastructure sustainability. Use domain knowledge to improve study design and analytical approaches to biological or clinical questions. Organizational AccountabilitiesOrganizational Accountabilities (Leader) Deliver Set and clearly communicate team goals and priorities in alignment with departmental goals and budgets Develop the budget and assign resources to meet the team goals Provide the resources and guidance required for employees to perform effectively Develop procedures to ensure high safety and quality, and course-correct as needed Identify customers' needs and ensure service excellence in meeting those needs Engage Be the link between the department and the team in defining the strategies to meet team goals Provide prompt and clear feedback to staff and support their performance Ensure team adherence to organizational regulations Manage the working environment to promote productivity and motivation Represent the team in clearing obstacles to high performance Hire staff and develop their capabilities Monitor and promote strong employee engagement Grow Encourage and share new ways of making the right work easier to do Recognize and share incremental improvements in operations Promote the success of organizational and department initiatives by clearly aligning programs to the mission Primary Location: District of Columbia-WashingtonWork Locations: Research & Innovation Campus 7144 13th Place NW Washington 20012Job: ResearchOrganization: Ctr Cancer & Immunology RsrchPosition Status: R (Regular) - FT - Full-TimeShift: DayWork Schedule: 40Job Posting: Dec 4, 2025, 2:09:35 PMFull-Time Salary Range: 118393. 6 - 197308. 8

Title: Student Labor - Biology VP Area: Academic Affairs Department: College of Science and the Environment Published Salary Range: $13.00/hour Job Summary/Basic Function: Assists in cleanliness and maintenance of the Biology labs. Works to ensure lab supplies are stocked and labs are set up for professors to teach. Federal Work Study eligible. Minimum Qualifications: Pursuing a degree offered by the College of Science and the Environment. Must be a full time student unless applied to graduate. Preferred Qualifications: Pursuing a degree in biology, fisheries/wildlife management, conservation biology, environmental science, or a related area. Physical Demands: Occasional mild-to-heavy lifting. Prolonged standing. Much be comfortable working with chemicals. Work Hours: Up to 19 hours/week, always within 9am-5pm M-F. Flexible and willing to work with student's schedule.