Trabajos research scientist en Austin, TexasCrear alertas

PURPOSE The Research Associate III independently designs and conducts complex research projects, analyzes and presents data, and supervises junior research staff. The Research Associate III is responsible for developing research protocols, performing literature searches, preparing grant applications, and contributing to research publications. In addition, the Research Associate III will identify and screen potential research participants, obtain consent, enroll participants, schedule appointments, and conduct all study procedures. RESPONSIBILITIES Participant Recruitment, Enrollment, and Data Collection • Identify, screen, recruit, and enroll eligible research participants in accordance with approved study protocols., • Develop, implement, and evaluate participant recruitment and retention strategies to achieve enrollment goals., • Obtain informed consent, schedule study visits, conduct participant visits, and administer study assessments and research procedures., • Serve as the primary point of contact for research participants by providing professional, compassionate, and timely communication in person, by telephone, virtually, and through electronic correspondence., • Coordinate and complete specialized regulatory activities associated with human subjects research, including IRB submissions, amendments, continuing reviews, protocol deviations, biosafety documentation, and required institutional compliance activities., • Manage investigational medications and/or research devices in accordance with study protocols and regulatory requirements., • Collect, process, store, and ship biological specimens (including blood collection, when applicable) and perform laboratory procedures according to protocol., • Collect, verify, enter, maintain, and organize research data to ensure accuracy, completeness, and data integrity., • Prepare for and facilitate sponsor, regulatory, and internal monitoring visits; respond to monitoring findings and data queries; and implement corrective actions as needed., • Identify, document, and report adverse events, protocol deviations, and other reportable events in accordance with study protocols, sponsor requirements, and regulatory guidelines. Clinical Research Operations and Regulatory Management • Coordinate and manage the day-to-day operations of multiple clinical research studies, ensuring compliance with institutional policies, sponsor requirements, Good Clinical Practice (GCP), HIPAA, FDA regulations, and other applicable federal, state, and local regulations governing human subjects research., • Perform clinical research activities, including assisting with study design, developing research methods and data collection instruments, conducting surveys, performing chart abstraction, maintaining participant tracking systems, and supporting regulatory compliance., • Complete study start-up activities, including obtaining study materials, coordinating site initiation activities, and ensuring regulatory documentation is complete and approved prior to study activation., • Maintain complete, accurate, and audit-ready regulatory files, study documentation, source documents, and research records throughout the study lifecycle., • Prepare, review, and coordinate research-related agreements and submissions (e.g., NDAs, MTAs, IRB submissions, contracts, project summaries, progress reports, and related documentation) on behalf of principal investigators., • Coordinate study close-out activities, including regulatory closeout, record retention, and sponsor requirements. Research Project Management • Develop, organize, prioritize, and independently manage multiple research projects, timelines, and competing deadlines while ensuring successful study execution., • Proactively identify operational risks and project-related issues and implement appropriate solutions., • Develop, implement, and continuously evaluate study workflows, standard operating procedures (SOPs), and operational processes to improve research quality, efficiency, regulatory compliance, and the participant experience., • Coordinate research meetings, prepare agendas, document meeting minutes, and monitor completion of action items., • Collaborate with University departments, affiliated clinical sites, sponsors, and external partners to support successful project implementation. Communication and Collaboration • Collaborate with principal investigators, research staff, clinical providers, sponsors, regulatory agencies, and institutional partners to ensure successful study implementation and execution., • Establish and maintain productive working relationships with multidisciplinary teams across the University and affiliated clinical sites., • Communicate complex research procedures, timelines, study requirements, and regulatory expectations clearly to participants, investigators, sponsors, and research personnel., • Exercise independent judgment in resolving operational issues and escalate complex problems appropriately. Research Education, Training, and Departmental Support • Develop instructional materials, standard operating procedures (SOPs), and workflow documentation to support research study implementation and regulatory compliance., • Mentor, train, and provide guidance to research coordinators, research assistants, students, trainees, investigators, and other research personnel on study procedures, regulatory requirements, institutional policies, and research best practices., • Actively participate in departmental meetings, research initiatives, and institutional committees., • Serve as a liaison with the Office of Research and other institutional offices while promoting adherence to current policies, procedures, and research resources. REQUIRED QUALIFICATIONS • Bachelor's Degree in Biology, Chemistry, or Biochemistry, • 5 years of relevant laboratory experience. Relevant education and experience may be substituted as appropriate. PREFERRED QUALIFICATIONS • Master's Degree, • At least 7 year(s) of experience in laboratory experience, including experience with specific techniques used in the research area., • Fluency in Spanish, • Certification as a Clinical Research Associate (CRA) from the Association of Clinical Research Professionals (ACRP) or similar certification. SALARY RANGE $51,727+ depending on qualifications • Standard office equipment, • Repetitive use of a keyboard, • Resume/CV, • 3 work references with their contact information; at least one reference should be from a supervisor, • Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

General Notes Dell Medical School is seeking a Postdoctoral Fellow, TEAM-AM Lab for the Department of Quantitative and Systems Health Sciences. Purpose The TEAM-AI Lab seeks multiple Postdoctoral Research Associates to lead methodological innovation, software architecture engineering, and scientific execution across its active grant portfolio. Working under the direct mentorship of Dr. Hongfang Liu and lab faculty, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been received within the last three years The candidate will hold primary responsibility for designing novel algorithmic frameworks, coordinating multi-institutional research networks, and translating real-world health data into actionable clinical intelligence. This position provides structured preparation for an academic tenure-track career or lead research scientist position in industrial AI labs, providing access to national data networks, high-performance computing clusters, and clinical interdisciplinary collaborations across UT Austin. The applicants will join a collaborative research environment at the Translational AI Excellence and Application in Medicine (TEAM-AI) Lab, focusing on accelerating the translation of AI innovations in biomedicine and healthcare. The lab consists of faculty members, program managers/coordinators, data scientists, and scientific programmers. The activities carried out by the team range from advancing AI innovations through big data, empowering biomedical and clinical sciences through team science collaboration and best practices, to building human-centered, value-added, and evidence-based tools, resources, and services to facilitate real-world implementation of said innovations. This position is a temporary with an end date of 08/31/27, renewable based upon availability of funding, work performance, and progress toward goals. Grant reference · EMED: An Ethical Mixture-of-Experts Digital Twin Framework for Medical Device Surveillance _ · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: _ · ReCARDO: Using Real-World Data to Derive Common Data Elements for Alzheimer's Disease and AD-Related Dementias Research Through Ontological Innovation: _ · WONDER: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: _ · POI-KB: Design and Development of a Knowledgebase for Accelerating Perioperative Organ Injury Research and Translation _ Responsibilities · Lead the design and implementation of mixture-of-experts neural architectures and reinforcement learning pipelines for counterfactual disease trajectory simulation for EMED, an NIH-funded multi-modal AI project. · Architect and evaluate multi-site cardiotoxicity risk prediction models integrating structured EHRs, clinical notes via natural language processing, strain echocardiography features, and non-medical determinants of health under the FDA CardioOnco-AI award. · Coordinate AI and computational phenotyping work streams within the national 10-institution ReCARDO network to extract, standardize, and validate Common Data Elements (CDEs) for Alzheimer's disease research. · Construct deep language models and clinical natural language processing pipelines to extract structured oncologic phenotypes, molecular biomarkers, and treatment responses from progress notes for the WONDER project. · Engineer semantic knowledge graphs and database query architectures capturing perioperative pathophysiological mechanisms for acute organ injury research under POI-KB. · Authorship of high-impact first-author or co-author manuscripts in leading informatics and machine learning journals and conferences. · Other related duties as assigned. EDUCATION & EXPERIENCE Minimum Qualifications: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics, or a related quantitative field earned within the past three years. Strong background in one or more of the following areas: generative and trajectory modeling including transformers, mixture-of-experts, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge graph construction and mining, CDE development for data harmonization. Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework High-performance computing and big data analytics PhD must have been received within the last three years. Preferred Qualifications: Demonstrated understanding of model validation, clinical trial design, and causal inference techniques. Experience with transformer-based models, LLMs, retrieval-augmented generation (RAG), or foundation models. Experience analyzing complex real-world clinical datasets (e.g., MIMIC-IV, OMOP CDM, PCORnet, NACC Uniform Data Set, or state cancer registries). Knowledge of causal inference, clinical prediction modeling, or multimodal AI. Experience with responsible AI, model evaluation, fairness, privacy, or explainable AI. Experience with biomedical image processing, radiomics, or digital pathology. Scientific programming on Linux or high-performance computing environments. LICENSES, REGISTRATIONS OR CERTIFICATIONS Required: None Preferred: None $63,480+ depending on NIH Level WORKING ENVIRONMENT/EQUIPMENT Standard office equipment. Repetitive use of a keyboard. May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others. May work in research laboratories, clinical environments, hospitals, ambulatory settings, or field research locations. May handle biological specimens, chemicals, hazardous materials, or laboratory equipment consistent with assigned research activities. May periodically lift and move research materials and equipment in accordance with organizational safety requirements. Requires visual acuity and manual dexterity sufficient to operate research equipment and computer systems. May require occasional evening, weekend, or travel commitments for research activities, conferences, and collaborative projects. Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

This is a grant-funded position with an end date of 08/31/2027, renewable based upon availability of funding, work performance, and progress toward research goals. The Research Associate I supports scientific research by conducting experiments, collecting and analyzing data, and maintaining laboratory equipment. This role typically reports to a Principal Investigator or Senior Research Scientist and works closely with other research staff, including Research Technicians and Laboratory Assistants. The Research Associate I is responsible for ensuring the accuracy and reliability of experimental results, contributing to research publications, and assisting in the development of new research protocols. This role will assist an interdisciplinary research team in the Bipolar Disorder Research Center under Dr. Jorge Almeida at Dell Medical School, Department of Psychiatry and Behavior Sciences at The University of Texas at Austin with collecting and analyzing psychological and neuroimaging measures in the bipolar disorder population. This position will primarily, but not only, assist on the BD2 Integrated Network study. The BD² Integrated Network connects 11 leading clinical institutions to share real-world clinical, biological, and neuroimaging data, aiming to uncover the biology of bipolar disorder and speed discoveries into care. Ultimately, it will follow more than 4,000 people with bipolar disorder over the course of 5 years. This position will require working on weekends and/or after normal business hours. Conduct Research Experiments • Perform laboratory experiments under the guidance of senior researchers, including obtaining neuroimaging data, administering neurocognitive assessments, and collecting/processing/shipping biospecimen samples., • Collect and analyze data using various scientific techniques and enter data into electronic research databases., • Provide exceptional and tactful support to research subjects via phone, email, etc., • Assist in recruitment of participants to research study, including outreach, contacting potential participants using different methods, conducting pre-screening checks, confirming eligibility criteria, and obtaining informed consent., • Maintain accurate records of experimental procedures and results. Data Analysis • Analyze research data using statistical software and tools., • Interpret results and prepare reports for review by senior researchers., • Assist in the preparation of research publications and presentations., • Assist with manuscripts and publications by drafting sections, reviewing content, and ensuring adherence to publication guidelines. Laboratory Maintenance • Maintain and calibrate laboratory equipment., • Ensure the laboratory is clean, organized, and stocked with necessary supplies., • Follow safety protocols and procedures. Collaboration and Communication • Work closely with other research staff to coordinate experiments and share findings., • Participate in team meetings and provide updates on research progress., • Communicate effectively with external collaborators and stakeholders. Protocol Development • Assist in the development and optimization of research protocols., • Review and update standard operating procedures (SOPs) as needed., • Ensure compliance with regulatory and ethical guidelines., • Assist with IRB submission and management by preparing necessary documentation, coordinating with IRB representatives, and ensuring timely submission and approval. Marginal or Periodic Functions Literature Review • Conduct literature reviews to support ongoing research projects., • Summarize findings and present them to the research team. Training and Mentorship • Provide training and guidance to new research staff and interns., • Assist in the onboarding process for new team members., • Performs related duties as required. Knowledge/Skills/Abilities • Interpreting experimental results, identifying trends in data, troubleshooting experimental issues., • Meticulous in maintaining accurate records and ensuring the precision of experiments., • Effective in conveying research findings and collaborating with team members in a professional, tactful manner., • Willing to work on weekends/after normal business hours., • Strong time management/organization ability and critical thinking skills., • Proficient in using laboratory equipment and scientific software., • Coordinating experiments with colleagues, participating in team discussions, supporting team goals., • Comfortable interacting with people living with serious mental illness., • Requires a Bachelor's Degree in Psychology, Psychiatry, Neuroscience, Public Health or a related field with relevant research experience., • Relevant education and experience may be substituted as appropriate., • Strong written, verbal, and interpersonal communication skills. Outstanding organizational and time management skills., • Demonstrated critical thinking skills and excellent attention to detail., • Demonstrated ability to work well with a group of faculty, staff, and students from various backgrounds, including the willingness and ability to train and oversee undergraduate and graduate students., • Must be comfortable interacting in an interdisciplinary setting and interacting with people living with serious mental illness., • Experience with data entry., • Willing and able to work outside of normal business hours when needed., • Strong computer skills with a variety of programs., • Master's Degree in Psychology, Psychiatry, Neuroscience, Public Health or a related field., • 2 years of relevant laboratory experience, including experience with specific techniques used in the research area., • Experience with REDCap database., • Experience with collecting, processing, and/or shipping biospecimen samples., • Experience administering neurocognitive batteries., • Experience with quantitative and/or qualitative data analysis., • Experience reporting and/or presenting research findings via conference poster, published manuscript, etc. Licenses, Registrations or Certifications Required: • None. Preferred: • Certification as a Clinical Research Associate (CRA) from the Association of Clinical Research Professionals (ACRP) or similar certification., • Phlebotomy certification., • Level I or Level II MRI certification., • Human Subjects Research and/or Good Clinical Practice certified. $43,733 + depending on qualifications • Standard office equipment., • Repetitive use of a keyboard., • May work around biohazards., • May work around chemicals., • May work around electrical and mechanical hazards., • May work around chemical fumes., • Occasional weekend, overtime and evening work to meet deadlines., • Resume/CV, • 3 work references with their contact information; at least one reference should be from a supervisor, • Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. According to Executive Order No. GA-48 of the State of Texas: for all positions that research, work on, or have access to critical infrastructure as defined in Section 117.001(2), Business and Commerce Code, it is required that both candidates for employment and employees have the ability to maintain the security or integrity of the infrastructure.

Purpose The Research Scientist will support the research projects within the department led by faculty, fellows and residents. This position will provide the following types of support to ensure research projects run smoothly, meet the study specific objectives and within the specified timelines: study design and development, database development and support, data collection and management, data analysis, and publication and presentation development. Responsibilities Data Management: • Develops methodologies and databases for collecting data using REDCap, Qualtrics and other data collection platforms., • Manages data for clinical/non-clinical trials in all stages of study from different sources: collection, extraction, quality control, cleaning, data manipulation, preparation., • Provides insight into current health data architecture and possible solutions to barriers., • Monitors for compliance with federal and state regulations as well as internal and partner requirements (such as IRB approval, Dell Medical School policies) needed to access or share health data., • Serves as an internal resource to faculty, fellows, and residents to answer questions related to data access, data aggregation, and data management., • Works closely with analysts and informatics staff and with external data teams in Dell Medical School’s partner institutions., • Receives, manages and delivers requested data tasks; works with data requestors to translate data requests into logical queries using standard language and tools. Statistical Consulting and Study Collaboration: • Collaborates with investigators to develop statistical analysis plan., • Carries out statistical analyses independently/completes statistical responsibilities for more complex projects with supervision., • Performs power and sample size calculations., • Helps to define research questions and then translates into appropriate methodologies and statistical analyses., • When applicable, provides feedback about study design, protocols and feasibility as it relates to given timelines and setting., • When applicable, assists with the interpretation of data., • When applicable, assists with the preparation of data for presentations and publications., • Regularly attends division research meetings, lab meetings and 1:1 meetings with collaborators inside and outside of the institution., • Master's degree in a related field, • 10 years of professional experience with complimentary experience in a data-related field such as data analysis and data management or a PhD and 5 years of professional experience with complimentary experience in a data-related field such as data analysis and data management., • 2 years’ experience with biostatistical and epidemiological knowledge for descriptive statistics, data cleaning/validation, clinical data quality assurance and outcomes, or research design., • Proficient in a range of statistical techniques and procedures., • Ability to use R and SAS., • Ability to perform power and sample size calculations., • Experience developing REDCap databases., • Ability to work in high-performing and multidisciplinary teams. Relevant education and experience may be substituted as appropriate. • PhD in related field or DrPH from accredited university., • Management and analysis of large, complex clinical research trials., • Familiarity with Gpower and PASS., • Familiarity with SmartSheet, Qualtrics and other data management programs. $80,000 + depending on qualifications May work around standard office conditions Repetitive use of a keyboard at a workstation Occasional weekend, overtime, and evening work to meet deadlines Resume/CV • 3 work references with their contact information; at least one reference should be from a supervisor, • Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

Job DescriptionDescription: About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical science, data, technology, program management, and workforce solutions. Since 2010, we have built high-performing teams and disciplined delivery systems that help federal agencies launch complex programs, sustain performance, and achieve meaningful mission outcomes. Position Summary: @Orchard LLC is seeking a Logistics Analyst to support NOAA’s Office of Ocean Exploration and Research (OER), helping ensure that the specialized equipment and systems required for ocean exploration are ready when and where they are needed. The Logistics Analyst will support the lifecycle management, acquisition coordination, transportation, and operational transition of scientific equipment, sensors, and integrated systems supporting NOAA’s Ocean Exploration missions. The ideal candidate brings a strong understanding of maritime operations, technical systems, and mission readiness. The Logistics Analyst will evaluate equipment readiness, identify logistical and operational risks, coordinate across technical and operational stakeholders, and help prevent equipment issues from disrupting scientific missions. This position is contingent upon contract award. Mission Impact: NOAA Ocean Exploration advances knowledge of the deep ocean and other underexplored marine environments. Expeditions depend on complex scientific instruments and integrated systems that must operate reliably in demanding conditions. The Logistics Analyst will help protect that mission capability by anticipating equipment needs, coordinating transitions between vessels, maintaining lifecycle and reliability information, and identifying problems before they affect expedition readiness. The goal is not merely to move equipment or complete transactions-it is to ensure that the equipment and systems supporting ocean exploration are operationally ready when the mission requires them. Key Responsibilities: • Manage equipment lifecycles from acquisition through deployment, maintenance, repair, transfer, replacement, and final disposition., • Coordinate ship-to-ship equipment transitions between Ships, supporting expedition readiness., • Assess equipment and laboratory requirements to ensure sensors, systems, and supporting components meet the operational needs of each expedition., • Coordinate equipment transportation and logistics, including accessories, mounting hardware, spare parts, software, technical documentation, and configuration information., • Support acquisition planning by preparing procurement documentation, evaluating equipment specifications and availability, and assisting with acquisition packages, excluding creation of requisitions., • Monitor equipment reliability and performance, tracking reliability, maintainability, availability (RMA), mean time between failures (MTBF), and mean time to repair (MTTR)., • Evaluate maintenance and supportability needs, including scheduled, preventive, corrective, and emergency maintenance, repair options, and spare-parts availability., • Conduct logistics and risk analyses to identify supply-chain, operational, storage, maintenance, and transition risks and recommend mitigation strategies., • Support installation and operational validation by coordinating integration testing, calibration verification, and readiness checks following equipment transfers or reinstallation., • Maintain accurate lifecycle records covering equipment inventory, configuration, maintenance history, repairs, deployment history, and performance issues., • Coordinate across technical and operational teams, including scientists, engineers, logistics personnel, expedition planners, vessel operators, and program leadership., • Identify and communicate emerging readiness concerns early, document transition decisions and lessons learned, and support timely, risk-informed decisions regarding equipment repair, replacement, transfer, or retirementRequirements:, • Bachelor’s degree in engineering, marine science, logistics, operations management, supply-chain management, or a related technical discipline, or an equivalent combination of education and relevant operational experience., • Demonstrated experience in logistics coordination, equipment lifecycle management, technical operations, maintenance planning, maritime operations, or a related field., • Experience coordinating complex equipment, systems, or technical assets across multiple teams, facilities, vessels, or operational environments., • Ability to evaluate operational requirements, identify logistical constraints, assess risk, and develop practical recommendations., • Strong organizational skills and the ability to manage multiple concurrent actions, dependencies, deadlines, and stakeholder requirements., • Ability to interpret technical specifications, equipment records, maintenance documentation, and operational requirements., • Excellent written and verbal communication skills, including the ability to communicate technical and logistical issues clearly to both technical personnel and leadership., • Proficiency with standard office productivity tools, spreadsheets, and tracking or reporting systems., • Ability to work collaboratively with Government customers, technical personnel, and maritime operations stakeholders. Preferred Qualifications: • Prior service as a NOAA Corps officer, or experience as an officer or operational leader in the U.S. Navy, U.S. Coast Guard, or another maritime organization., • Experience at the Lieutenant (O-3), Lieutenant Commander (O-4), or higher level in the NOAA Corps or comparable maritime service, with relevant operational responsibilities., • Experience supporting NOAA vessels, oceanographic research ships, expeditionary operations, scientific laboratories, or marine technology programs., • Familiarity with scientific sensors, remotely operated vehicles (ROVs), oceanographic instruments, shipboard laboratories, or integrated technical systems., • Experience coordinating shipboard equipment transfers, vessel transitions, system installations, configuration changes, or operational readiness activities., • Experience with reliability, maintainability, and availability analysis, including MTBF and MTTR metrics., • Experience with acquisition documentation, supply-chain analysis, equipment supportability, maintenance logistics, or lifecycle cost comparisons., • Experience identifying and mitigating risks associated with equipment availability, technical integration, supply-chain constraints, and operational schedules., • Familiarity with federal acquisition processes, Government property procedures, technical documentation, or federal agency operations. Compensation: The anticipated salary range for this position depends on the candidate’s qualifications, and relevant project management experience. What We Offer: Competitive base salary with opportunities for advancement, career growth and professional development, work-life balance, comprehensive benefits including health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays. If you are a motivated and collaborative scientist with a passion for ocean mapping through exploration, we encourage you to apply and help expand our understanding of Earth's least explored environments! @Orchard is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.

Job Description Energy Exploration Technologies, Inc. (EnergyX) has a mission to become a worldwide leader in the global transition to sustainable energy. Founded in 2018, the company is fundamentally changing the way humanity is powering our world and storing clean energy with breakthrough lithium-ion technology and energy storage solutions. The Role As a Senior Scientist/Scientist, you will not only drive bench-scale discovery but also design experiments specifically to capture the thermodynamic, kinetic, and transport data required for industrial scale-up. You will be instrumental in the technology transfer phase, bridging the gap between the laboratory and pilot plant operations, and work closely with the engineering team for commercial development. You will also work closely with our membrane, solvent extraction, and adsorption Direct Lithium Extraction (DLE) teams to ensure your processes integrate seamlessly into our broader technological ecosystem. Key Responsibilities Research, Development, & Scale-Up • Lead bench-scale experimental design and execution of new technologies for the separation of lithium salts from aqueous brines and/or waste tailings, optimizing for separation factor, yield, and chemical efficiency, with due consideration to the scalability of processes being investigated., • Identify, collect, and analyze critical scale-up parameters (e.g., mass transfer coefficients, phase separation velocities, and thermodynamic limits) to model continuous pilot-scale operations., • Serve as the primary technical liaison for Technology Transfer, working hand-in-hand with process engineering teams to transition batch/bench processes into continuous pilot operations (e.g., countercurrent mixer-settler cascades or centrifugal contactors, fixed-bed columns, simulated moving bed chromatography, continuous crystallizers)., • Troubleshoot and optimize pilot plant operations, directly applying fundamental physical chemistry to solve real-world hydrodynamic and scaling challenges. Cross-Functional Collaboration • Collaborate extensively with adjacent R&D teams—including Solvent Extraction, Membrane Separation, and adsorption DLE technology groups to implement new technologies and processes seamlessly into the existing process flow sheets., • Work with analytical teams to establish and validate highly accurate measurement protocols (e.g., ICP-MS) for tracking chemical purities. Leadership, Safety, & Documentation • Champion a culture of absolute laboratory safety, ensuring strict compliance with all Environmental, Health, and Safety (EHS) regulations, particularly concerning the handling of complex solvent systems, active metals, and strong acids/bases., • Draft, review, and maintain rigorous Standard Operating Procedures (SOPs), risk assessments, and technology transfer packages., • Clearly communicate complex technical findings, project bottlenecks, and milestone updates to leadership and non-technical stakeholders through comprehensive technical reports and presentations., • Mentor and guide junior scientists and laboratory technicians, fostering an environment of scientific rigor, root-cause problem solving, and continuous learning. Qualifications Education & Experience • Ph.D. in Chemistry (Organic, Inorganic, Polymers, materials science or closely related discipline) or Chemical Engineering with a strong fundamental chemistry focus. Bachelors in ChemE with 5+ years of research and development experience will be considered., • Post-doctoral or industry experience preferred. Experience working at a start up is highly prized., • Proven track record of independent research through publications and patents., • Deep fundamental understanding of separation science (e.g., solvent extraction, supramolecular host-guest chemistry, membranes, adsorbents, or ion exchange). Technical Skills & Competencies • Demonstrated experience capturing and analyzing engineering data from bench experiments (e.g., reaction kinetics, phase equilibrium, thermodynamic modeling)., • Experience writing robust SOPs and comprehensive technology transfer documentation., • Familiarity with the design of experiments (DoE) and comprehensive data analysis, • Exceptional written and oral communication skills, with the ability to translate complex molecular concepts into actionable engineering parameters. Physical Requirements & Working Conditions • Ability to work in a laboratory environment, wearing appropriate Personal Protective Equipment (PPE) for extended periods., • Occasional travel to pilot plants or demonstration facilities may be required to oversee tech transfer and pilot commissioning. Benefits: • Competitive pay, • Paid time-off, holidays, and sick time, • 401(k) with employer match, • Equity Package, • Medical, dental and vision benefits with employer contribution; voluntary benefits available, • Company-sponsored events EnergyX is an Equal Opportunity Employer; employment with EnergyX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Drug Discovery Scientist Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities • Design realistic research problems for AI models in drug research. Ensure they require genuine reasoning, not pattern matching., • Build a comprehensive data room using real, source-grounded data. Ensure every decisive value traces to a real source., • Write a grading document that scores submissions based on substance. Focus on reasoning quality, not style or method., • Validate and calibrate tasks before submission. Ensure accuracy and reliability., • Revise tasks based on reviewer feedback. Maintain authority on scientific and difficulty questions. Qualifications Must-Have • Expertise in mechanistic enzymology, structure-guided peptide or antibody design, fragment-based discovery, or structure-based medicinal chemistry., • PhD or equivalent industry track record., • Ability to pose defensible problems that strong solvers cannot shortcut., • Comfortable judging reasoning quality. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.At Visa, you'll h

Strong professional or research experience in machine learning. Experience at an established technology company, AI laboratory, or research organization.

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We created the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the top 10 by AUM and the world's leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: a private equity investment arm, an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, GSB, HBS, and Wharton. Our leadership includes early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders, not slide-makers. About the Role: We are hiring a Forward Deployed AI Engineer to join our AI transformation team. This is not a typical software engineering role. You will not be maintaining a single codebase or optimizing one product. You will be building and deploying AI solutions across dozens of companies, industries, and problem domains, working directly with clients and PE sponsors to solve their highest-value business problems with production-grade GenAI, ML, and automation. In a given month, you might build a RAG system that automates a core operational workflow for a healthcare services company, deploy an ML model that optimizes pricing for a financial services platform, architect a data pipeline that unlocks analytics capabilities for a business that has never had them, and mentor junior engineers on the team through all of it. Every solution you build is tied to measurable business impact. You will see your code move EBITDA, not just pass tests. This role sits at the intersection of engineering excellence and client impact. You will be in the room with executives and PE partners, translating business problems into technical architectures, then building and shipping the solutions yourself. If you want to be the best AI engineer in the world, there is no faster way to get reps across industries, problem types, and AI techniques than this role. About You: You are an engineer who builds fast, ships to production, and cares about business outcomes, not just technical elegance. You are comfortable working directly with non-technical stakeholders, translating ambiguous business problems into clean technical solutions, and iterating in tight cycles. You take pride in code that works in the real world, not just in a notebook. Specifically: • 3+ years of experience building and deploying software products end to end (design, implementation, testing, deployment, maintenance), • Expert in Python (Django, Flask, FastAPI, Pandas, etc.) and/or JavaScript (React, Node). These are our primary languages and you should be deeply fluent in at least one., • Strong experience with SQL, data modeling, and cloud infrastructure (AWS, GCP, or Azure), • Hands-on experience with generative AI: you have built RAG systems, AI agents, prompt engineering pipelines, fine-tuned models, or similar. This is not a "nice to have," it is core to the role., • Experience with data engineering, integrations, ETL/ELT pipelines, and working with messy, real-world data, • Experience with data science and ML: NLP, recommender systems, classification, regression, neural networks. You don't need to be a research scientist, but you should be comfortable selecting, training, and deploying models., • You have owned production systems. You know what it means to deploy, monitor, debug, and maintain software that real users depend on., • You are comfortable in client-facing environments. You can explain technical trade-offs to a CEO, scope a solution with a business stakeholder, and present a demo to a PE partner., • Experience managing or mentoring other engineers is a strong differentiator. You will be expected to elevate the technical bar of the broader team., • B.S. or M.S. in Computer Science, Engineering, or a related technical field, • Legally authorized to work in the US What Sets the Best Candidates Apart: The engineers who thrive at SaxeCap are a specific breed. They combine deep technical skill with business intuition and client presence. The strongest signals we look for: • Production over theory. You have shipped AI systems that real users and real businesses depend on. Kaggle competitions and research papers are fine, but we care most about code running in production with measurable impact., • Breadth and speed. You can pick up a new domain, a new tech stack, or a new problem type and be productive in days, not months. You've worked across multiple problem areas and can context-switch without losing quality., • Full-stack AI fluency. You don't just build models. You build the data pipelines that feed them, the APIs that serve them, the frontends that expose them, and the monitoring that keeps them running. You think in systems, not components., • Client-facing instinct. You can sit in a room with a CFO or a PE partner, understand what they actually need (not just what they say they need), and translate that into a technical plan on the spot. The best FDAIs at SaxeCap are as comfortable in a boardroom as they are in a terminal., • Builder DNA. Open-source contributions, side projects, hackathon wins, or a startup attempt. You build things because you can't help it. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact. You will get more reps across AI techniques, industries, and business problems in one year at SaxeCap than in five years at a typical tech company.

FMI – The Food Industry Association: We’re Hiring a Chemical & Food Safety Programs Director (Hybrid Role) Do you have chemical safety experience with a passion for advancing food safety across the food industry? Are you a technical expert who can translate complex science and regulations into meaningful programs for industry stakeholders? If so, this role might be for you! Quick Snapshot: In this role, you’ll develop and implement food and product safety programs for product suppliers; direct food protection activities and provide technical expertise for the FMI membership; interact with federal, state, and local regulatory officials; and represent FMI and its members with external constituents. What You’ll Do in This Role: • Develop and deliver food safety programs for product supplier members., • Lead and manage the Product Supplier Scientific Affairs Committee, including member engagement, meeting planning, and execution of key initiatives., • Serve as FMI’s technical expert on chemical contaminants in food, supporting science-based policy and regulatory approaches as well as provide technical expertise and guidance to members on food safety, regulatory, and scientific issues., • Support chemical safety initiatives through research, coordination, and engagement with industry stakeholders, regulatory agencies, and subject matter experts., • Assist in the development and implementation of programs, resources, and communications related to chemical safety and regulatory compliance., • Monitor emerging chemical safety trends, regulations, and industry developments to help inform organizational priorities and member guidance., • Develop and execute project plans aligned with FMI’s Strategic Plan, ensuring timelines, priorities, and deliverables are met., • Evaluate member needs and prioritize projects so that critical food safety objectives are met., • Establish and maintain contacts with regulators, academicians, experts, and others to resolve member questions and issues., • Partner with external stakeholders to enhance food safety programs and public health outcomes., • Conduct member outreach and site visits to understand industry practices and strengthen engagement. Education and Skills You’ll Need to be Successful: • College degree in a field related to food safety, food science, chemistry, or toxicology. Advanced degree is preferred., • A minimum of seven to ten years of professional work experience with at least seven years directly related to food safety., • Knowledge of and/or experience working in the food industry, including knowledge and experience with food processing including HACCP and Preventive Control programs, food microbiology and a working knowledge of chemical contaminants and toxicology., • Knowledge of federal and state food regulations and regulatory authorities and agencies., • Excellent written communication skills. Editing and proofreading skills are a plus., • Excellent oral communication skills, including the ability to create presentations using Microsoft PowerPoint, and experience giving presentations to a variety of audiences., • Strong people skills, customer service, and team orientation. Why FMI? We are the champions for the food industry and the issues that make a difference to our members in the food industry. Our work touches the lives of over 120 million households in the U.S. and representing a $1 trillion industry with over 6 million employees. By joining our team, you will become part of a diverse, engaging, and supportive environment where your contributions directly impact the future of the food retail industry. Our Benefits: We offer a generous benefits package that includes health benefits, 401(k), 11 paid holidays, paid leave benefits, a monthly cell phone reimbursement, monthly commuter benefits, a summer hours program allowing you to work only four hours on Fridays during the summer (once your work is done), volunteer opportunities (if you want to give back to your community), the chance to join our employee wellness group and much more! This position offers a hybrid work schedule, requiring you to in our Arlington, Virginia office for a minimum of two full days per week. There are additional opportunities for employees to work fully remote throughout the year, including two weeks at the end of August, the week of Thanksgiving and two weeks at the end of December. We offer a $100 monthly transportation reimbursement to offset commuting costs. *The annual salary range listed reflects the minimum and maximum annual compensation for this position and has been established in good faith and in accordance with Virginia and federal law. Individual salary offers within this range will be based on the candidate's relevant experience, education, skills, certifications, and other job-related factors. Apply Now: If you are looking to apply your technical expertise to advance food and product safety, we encourage you to apply. Learn more about FMI by visiting our website at www.fmi.org #chemicals #chemicalsafety #foodsafety #foodscience #scientist #foodindustry #hybridwork #joinFMI FMI is an Equal Opportunity Employer.

Job DescriptionData Scientist Role Type: Contractor Location: Remote About the Role We are looking for experienced data scientists and quantitative professionals to support AI training and evaluation projects. You'll apply expertise in machine learning, statistics, experimentation, and data analysis to evaluate and improve AI model performance. Key Responsibilities • Evaluate AI outputs across data science, statistics, ML, and quantitative problems., • Create expert-level prompts, datasets, and reference solutions., • Identify statistical errors, flawed methodologies, and weak reasoning., • Provide structured feedback to improve AI model capabilities.Required Skills, • Python & Pandas, • Machine Learning, • Statistics, • Data Analysis, • Experimentation, • Data ModelingPreferred Qualifications, • 1+ year of experience in technology, finance, research, or a similar environment., • Relevant experience within the past 7 years., • Undergraduate degree from a top-ranked university., • Strong written communication and ability to explain technical concepts clearly., • Based in an English-speaking country.

Founding AI Scientist - Pathology Foundation Models Remote (Must be US Based) The Role You will lead the strategy and development of pathology foundation models, shaping how they are designed, trained, evaluated, and deployed into clinical and pharmaceutical applications. This is a highly cross-functional role spanning research and production. You will define how foundation models integrate with biological context, multimodal data, and downstream decision-making systems moving beyond isolated model improvements to building end-to-end, real-world solutions. As an early-stage hire, you will play a key role in shaping both the technical direction and the organisation itself. Required Experience • Strong publication record in machine learning, including multiple first-author papers at leading conferences or journals, • Deep understanding of modern ML architectures (e.g. transformers, attention mechanisms, state-space models, mixture-of-experts), • Experience working with GPU clusters and large-scale ML infrastructure (e.g. Kubernetes, SLURM, or similar), • Solid software engineering skills and ability to build production-grade systems, • Excellent communication skills, with the ability to convey complex ideas to both technical and scientific audiences Preferred Background • Experience in oncology, cancer biology, or drug development, • Exposure to biomedical or healthcare foundation models, • Experience with multimodal and cross-modal learning systems, • Familiarity with healthcare regulatory frameworks (e.g. FDA, HIPAA), • Contributions to open-source ML ecosystems, • Experience working with distributed or community-driven research groups, • Previous experience in a startup or early-stage environment To apply please reach out to Sam Shinner at Discover International

STEM Expert (MSc./PhD) (Remote | $60–$120/hr) Position: STEM Expert (MSc./PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required. Key Responsibilities • Solve complex scientific, mathematical, and technical problems within your area of expertise., • Review AI-generated solutions for scientific, mathematical, and factual accuracy., • Identify incorrect assumptions, reasoning errors, and overlooked constraints., • Use Python or other programming languages for calculations, simulations, and validation., • Provide rigorous, technically accurate solutions and feedback. Required Qualifications • Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics., • Practical proficiency in Python or another programming language., • Strong scientific, mathematical, or quantitative problem-solving skills., • Experience using coding agents in technical workflows. Preferred Qualifications • Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries., • Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data. We need a Data Scientist with a proven track rec

Our core values define who we are as an organization and serve as the foundation of our code of ethics.Arbor Research expects all employees to embody and demonstrate in our day-to-day work.We expect each staff member to learn from and teach one another and ask each to exhibit curiosity and respect

Mentor less experienced researchers and engineers through project collaboration, code and experiment reviews, and technical guidance. Strong collaboration skills across research, engineering, product, data, and clinical teams. Typically 4+ years of relevant applied ML research or engineering experie

Research Engineering/Scientist Associate II. Center for Biomedical Research Support.

Robotics Engineering Scientist Associate.Robotics algorithm and software development for the Advanced Technology Laboratory (ATL) of the Applied Research Laboratories.Develop software for robotics platform.Write accompanying software and architecture documents.Plan and execute software testing activ

Develop and perform emission modeling of oil and gas production and supply chains, with wide latitude for independent action and decision; perform geospatial and statistical analyses to address science and policy questions; choose from a range of projects including multi-scale field measurement camp

Research Engineering/ Scientist Associate III.Expected to Continue Until Nov 30, 2027.Initial assignment will be for one year.Subsequent renewal of employment will be based upon performance review, progress towards research goals, and continuation of funding.Perform (and/or assist others with) techn

Engineering Scientist Associate, Center for Transportation Research in Cockrell School of Engineering.Fariborz Maseeh Department of Civil, Architectural and Environmental Engineering.As a top-10 engineering school with the No.Cockrell School of Engineering.The University of Texas at Austin (UT Austi

Expected to Continue Until Nov 16, 2028.What benefits do I receive with UT?.The university offers an impressive benefits package.For more details on benefits, please see:.For more information about the College of Liberal Arts, please visit:.Our college seeks to build a supportive, growth-minded comm

R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate).Research and development for both data analysis and machine learning applications, including data modeling and algorithm development and implementation.Software design, development, and testing to support rese

Experience in developing research proposals for funding from federal agencies and industry. With 11 undergraduate and 13 graduate programs, over 20 research centers and a faculty community that boasts one of the highest number of National Academy of Engineering members among U. The purpose of this p

Job Type: Flexible Contract (Remote) Cobalt is hiring experienced biologists to review and build tasks that test whether frontier AI models can reason through real experimental science. Your job is to judge whether a model’s reasoning about an experiment is correct, and to explain precisely where it goes wrong when it is not. We are especially looking for scientists with hands-on flow cytometry experience. If you are the person in your lab who spots the flawed control, the mislabeled gate, or the conclusion the data does not support, this role is built around that skill. What you will do • Review AI-generated answers to experimental biology problems end to end, including the experimental design, the methods, the data interpretation, and the final conclusion, and confirm that each step is scientifically sound and consistent with the others., • Write realistic problems from your own area of expertise, along with reference solutions that show the reasoning a skilled scientist would follow, not only the final answer., • Look for ways a model could reach a correct-looking answer without sound reasoning, such as relying on a textbook pattern that does not fit the data, ignoring a missing control, or overlooking an artifact, and document each issue clearly., • Judge whether a model’s failure reflects a real gap in scientific reasoning, or instead reflects an ambiguous question, missing information, or an unfair reference answer., • Write clear, specific feedback and work with task authors through revisions until each task meets the acceptance standard., • Join occasional expert calls of 30 to 60 minutes with research teams who want to understand how experts approach a specific problem. Example tasks you might review include designing a multicolor flow cytometry panel for a given set of markers and instrument, critiquing a gating strategy and identifying where a population was misassigned, explaining why compensation errors produced a false double-positive population, and judging whether a reported difference between treatment groups is supported by the data. Who we are looking for • Advanced degree in biology, immunology, cell biology, biochemistry, or a closely related life sciences field., • Hands-on laboratory experience, gained through research, a thesis, a postdoctoral position, a core facility, or industry work. You should be comfortable reading an experimental protocol and saying whether it would work., • Strong working knowledge of experimental design, including controls, replicates, and when a difference between two results is meaningful., • Careful, direct written communication. Much of the job is explaining precisely what is wrong and why., • No prior experience with AI is required. Strong advantages • Hands-on flow cytometry experience, including panel design, compensation, gating, and data analysis, using instruments such as the BD FACSymphony or Cytek Aurora and software such as FlowJo, FCS Express, or OMIQ., • Experience with spectral or mass cytometry, or with clinical flow cytometry such as leukemia and lymphoma immunophenotyping., • Experience managing or working in a core facility, training other scientists, or serving as a peer reviewer for a journal. Why Cobalt AI • Shape how AI understands science. Your judgment directly determines which tasks are used to measure what leading models can and cannot do in biology., • Use your expertise in a new way. You will see up close how frontier models reason about experiments and where they break., • Fit the work around your current role. Set your own schedule, with flexible weeks that can scale up or down around your research and other commitments., • Grow with us. Strong reviewers can move into task design, project leadership, and research collaborations on future projects.

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

Strong professional or research experience in machine learning. Experience at an established technology company, AI laboratory, or research organization.

This is a rare opportunity for an accomplished researcher to move beyond purely academic research and own ambitious research initiatives, influence the technical roadmap, and see their work deployed into real-world AI products at scale. Research ownership: Shape the research agenda rather than simpl

Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager.What You’ll Do (90% of your time).Sourcing (high-volume, targeted).Build curated hit-lists (companies, labs, OSS repos, arXiv/Google Scholar, conference rosters).Run 120+ tailored outreaches/

Collaborate remotely with cross-functional R&D teams to bridge academic research and industrial scenarios, boosting research achievement commercialization;. A minimum of 3 years of post-PhD experience in industrial R&D, academic research or professional research institutions with solid theoretical a

Experience at an established technology company, AI laboratory, or research organization. Strong professional or research experience in machine learning.

Develop, validate, and evaluate machine learning models for business and research objectives. At least one year of experience at a leading company in technology, finance, or research.

Global Talent Search 2027 | Early and Mid-Career Research Talent.We collaborate with leading universities, research institutions, and innovative enterprises to connect emerging research talent with opportunities in.Artificial Intelligence | Advanced Manufacturing | New Materials | Biotechnology & Ph

Noetive is a research lab building recursive self-improvement to develop intelligence for the physical economy.At Noetive, you'll push the frontier of what foundation models can do across language, vision, and world model development, designing and running experiments on pre and post-training, reas

Applied Scientist (Remote | $245–$280/hr).An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning.Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quali

AI research and evaluation project. Familiarity with open-source scientific tooling and computational research workflows. AI-generated scientific research or technical outputs.

We are hiring experienced clinical and research scientists, including clinical laboratory scientists, translational researchers, assay development scientists, postdoctoral researchers, and advanced doctoral candidates, for a contract project that tests whether frontier AI agents can carry out real w

Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work.

Clinical Scientist Kelly Science & Clinical FSP is seeking a Clinical Scientist for a long-term remote engagement supporting a global pharmaceutical client. This individual will work closely with the Clinical Scientist Protocol Lead and study team to support the clinical and scientific execution of clinical studies. Key Responsibilities • Assist the Clinical Scientist Protocol Lead and study team with the clinical/scientific conduct of clinical studies, • Support medical monitoring activities, adjudication, imaging data reconciliation, and preparation of study meeting materials, • Review clinical study data and assist with identification and resolution of data discrepancies and queries, • Support protocol deviation review and management, • Review patient data, including adverse events, laboratory results, endpoints, and other clinical information, • Support one or multiple clinical studies depending on study needs, • May lead a study or workstream with limited scope, such as survival follow-up, • Interact with internal and external stakeholders, including study sites and committees, to support clinical study objectives Qualifications • Degree in Life Sciences required (BS/BA/MS/PhD), • Minimum of 2 years of pharmaceutical and/or clinical drug development experience within the last 5 years, • Experience may come from pharmaceutical/biopharmaceutical companies, CROs, hospitals, research sites, clinical trial units, or SMOs, • Experience reviewing and resolving study-related data issues, including queries and medical record/data review, • Ability to identify data discrepancies requiring clarification with clinical study sites, • Experience reviewing patient data and resolving discrepancies involving adverse events, laboratory results, endpoints, and safety data preferred, • Therapeutic-area experience required for Oncology positions; indication-specific experience preferred, • Strong written and verbal communication skills, • Proficiency with Microsoft Outlook, Word, Excel, and PowerPoint; OneNote experience preferred

Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work. This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workfl

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

Type: Temp (6–9 months) • Location: Remote US TZs Target Roles: Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager Own the top of funnel: map the market, generate calibrated pipelines fast, and hand off HM-ready prospects with crisp notes. No “post & pray.” What You’ll Do (Sourcing-First) • Market mapping: Build company/lab/OSS target lists; track movers (arXiv, OpenReview, Google Scholar, Hugging Face, GitHub)., • Outbound at scale: Tailored outreaches; iterate subject/copy; test 3–5 variants; maintain reply metrics., • Profile calibration: Validate signals (repos, papers, shipped features, MLOps stack, product outcomes)., • Light pre-screen (10–15 min): Confirm level, comp ballpark, work auth, location, timeline, and role fit; capture structured notes., • Handoff: Package candidates with scorecard snapshot + links; book with recruiter/HM. Role Signals You’ll Target • FDE: Customer-facing build/ship, Python + data wrangling, rapid proto, consultative comms., • Senior ML Eng: Prod LLM/ML (inference, RAG, fine-tune, evals), MLOps (deploy/observability)., • Research/Alignment: Strong math/ML fundamentals; safety/evals/interpretability/RLHF artifacts., • AI PM: Shipped AI features, experiment cadence, metric/latency/trade-off literacy. Must-Haves • 2+ years sourcing for deep eng/ML/AI roles, • Tools: ATS, LinkedIn Recruiter, GitHub search, arXiv/Scholar, Notion/Airtable, Gem/Fetcher., • Clean pipeline habits Engagement • 30–40 hrs/week

Right to Work Poster (Spanish) [PDF] Compliance Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). Opportunities to present research, contribute to publications, and receive mentorship.

Research Engineering/Scientist AssistantThe Min Lab at the Department of Marine Science at the University of Texas at Austin is seeking a talented and motivated individual to manage the trace gas analysis system, participate in the sea-going expedition, coordinate equipment shipping and logistics, a

Opportunities to present research, contribute to publications, and receive mentorship.

The University of Texas at Austin is seeking an Engineering Scientist Associate to support the Laboratory for Infrastructure Materials Engineering at Pickle Research Campus. The role manages day-to-day operations of the concrete laboratory, maintains accreditation, and supports field and lab researc

Alzheimer's Disease Research Scientist.The Alzheimer's Association is seeking a dynamic, mid to established career scientist to advance Alzheimer's disease and related dementia research strategy across Texas.This individual will serve as a scientific leader, convener, and connectorbringing together