Director Of Cell Biology remote jobs - 256 jobs

The Clinical Scientist will collaborate closely with the clinical leader to develop clinical concepts and plans for molecules, with a particular focus on early oncology development. This role involves drafting protocol synopses, protocols, and amendments, as well as writing and reviewing informed consent forms. The Clinical Scientist will work with Clinical Operations on site selection and startup, and lead the writing of clinical sections for investigator brochures and NDAs/MAAs. This position also requires representation on clinical study teams and involvement in data review, including safety data and serious adverse events. Responsibilities Write clinical development concepts and plans for molecules at all stages of development, focusing on early oncology development. Draft initial and subsequent protocol synopses, protocols, and protocol amendments. Write and review informed consent forms and adjudicate site-specific requests. Collaborate with Clinical Operations on site selection and startup. Lead the writing and updating of clinical sections in investigator brochures. Write and review clinical and safety sections of NDAs/MAAs. Represent the medical function on clinical study teams. Review and interpret data listings, including safety data and serious adverse events. Author clinical study reports and associated publications. Create clinical study-related slide decks for internal and external use. Train colleagues, CRO, and study site staff on therapeutic areas, molecules, and protocols. Participate in opinion leader advisory boards. Conduct therapeutic area/indication research and competitor analysis. Build and maintain opinion leader and investigator networks. Support Health Authority interactions and provide responses to inspection observations and internal audits. Assist Medical Monitor for Phase 1 clinical trials, ensuring patient safety and guidance during study design, execution, and reporting. Present study results to internal and external committees or advisory boards. Author/review safety and efficacy summaries, clinical overviews, investigator brochures, risk management plans, and clinical sections of product labels. Essential Skills At least 4 years of industry experience in oncology. Experience in early phase oncology Participation in a clinical development program, preferably involving all stages of clinical trials. Experience in clinical trials with small molecules. Skilled in protocol design, interpretation, and medical monitoring. Experience in assessing adverse events and patient safety in therapeutic clinical trials. Knowledge of Good Clinical Practice (GCP). Excellent written and oral communication skills. Ability to adapt to a fast-paced and changing environment. Additional Skills & Qualifications Bachelor's degree in a relevant field. Postgraduate qualification in clinical oncology, such as a Master's degree. MD, Nurse Practitioner's License, PharmD, or PhD preferred. Work Environment The role requires working in a dynamic and fast-paced environment, where collaboration with cross-functional teams is essential. The candidate should be prepared to engage in both clinical and operational activities, and be comfortable presenting data at international scientific meetings. Forecasting 30 hours a week. Must be able to work PST Job Type & Location This is a Contract position based out of South San Francisco, CA. Pay and Benefits The pay range for this position is $140.00 - $190.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Feb 5, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

A consulting firm in life sciences is seeking a full-time MES Consultant to provide consulting services to the biotech and pharmaceutical industries. The role involves software implementation, various software life cycle roles, and excellent client interaction. Candidates must have a Bachelor's degree in a relevant field and experience with MES tools. Travel to client locations is required, averaging 30-65%. This position offers a collaborative work environment with opportunities for career advancement. #J-18808-Ljbffr

APPLICATION INSTRUCTIONS: * CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. * CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. * If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding. POSITION SPECIFICS Postdoctoral Scholar - Structural Virology The Department of Cell and Biological Systems at Penn State University College of Medicine (Hershey, PA) invites applications for a full-time, NIH-funded Postdoctoral Scholar position in structural virology. This position offers an exciting opportunity to investigate the structural biology of Hepatitis B virus (HBV) in mammalian cells using state-of-the-art cryo-electron microscopy-based approaches. More information about the laboratory can be found at: ***************************** The postdoctoral scholar will contribute to ongoing projects to define structural and mechanistic changes in HBV during its replication cycle. Depending on background and expertise, the position is suitable for candidates with a strength in molecular virology/HBV biology or in cryo-electron microscopy and cellular imaging, with complementary training provided. Two candidate profiles are particularly encouraged: HBV / Molecular Virology: Candidates with strong expertise in HBV biology, mammalian cell culture, and molecular virology techniques, including virus production, purification, and biochemical characterization. Training in cryo-EM and structural analysis will be provided. Cryo-EM / Cellular Imaging: Candidates with hands-on experience in cryo-electron microscopy-based methods, including high-resolution single-particle reconstruction and/or cryo-electron tomography with FIB-SEM. Training in HBV biology, cell culture, and virological techniques will be provided. Required Qualifications: * PhD (or equivalent doctoral degree) in structural virology, virology, structural biology, biophysics, cell biology, or a closely related field by the time of appointment * Strong motivation, independence, and the ability to work collaboratively in a multidisciplinary research environment * Strong written and verbal communication skills and interest in mentoring trainees This position provides extensive opportunities for advanced technical training, interdisciplinary collaboration, mentorship of graduate students, and career development in a highly supportive research environment. This is a limited term appointment funded for one year from date of hire. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. BENEFITS Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines

Telix Pharmaceuticals is a dynamic, fast-growing radiopharmaceutical company with offices in Australia (HQ), Belgium, Japan, Switzerland, and the United States. Our mission is to deliver on the promise of precision medicine through targeted radiation. At our core, we exist to create products that seek to improve the quality of life for people living with cancer and rare diseases. You will be supporting the international roll-out of our approved prostate cancer imaging agent and helping us to advance our portfolio of late clinical-stage products that address significant unmet need in oncology and rare diseases. See Yourself at Telix The role of Director, Biologics will oversee process development and clinical production of radiolabeled monoclonal antibodies and conjugates within Telix's Global Operations organization. This leadership position is responsible for guiding late-phase development and commercialization strategy, managing a team of bioprocess and bioconjugation scientists and engineers, and ensuring readiness for scale-up and manufacturing. The role will play a critical part in advancing Telix's biologics programs through clinical development and toward commercial launch. Key Accountabilities: Provide direction for late phase process development, validation, and commercialization strategies including timeline, resource plans, and key evaluations. Oversee the process development and validation activities, ensuring alignment with corporate objectives. Lead and motivate a team of bioprocess and bioconjugation scientists and engineers, fostering a culture of collaboration, compliance, and technical excellence. Demonstrate Telix values, leadership competencies, and industry methodologies, platforms, and best practices. Mentor team members on evaluation and execution for activities such as late-stage process development, process characterization, technology transfer including analytical methods, risk assessments, and validation. Manage relationships with internal and external partners including CDMOs and consultants, ensuring project requirements and external partner capabilities align to support production, optimization, and scale-up. Responsible for scoping, negotiation, budgeting and contracting of external activities. Guide team members' support of clinical manufacturing activities such as production forecasts & planning, NPI & GMP readiness, and batch release. Ensure Biologics deliverables comply with GMP requirements across multiple regions. Uphold GxP standards, especially documentation within our internal QMS and within external partner GMP manufacturing QMS including technical input to capture investigations, root cause analysis, and other quality events. Engage directly in cross-functional program matrix teams by providing options analysis and program timeline input. Support & mentor team members ensuring execution to plan and timely notification of issues and risks. Contribute to the creation of process development, technology transfer, and validation plans within a CMC stage gate framework. Ensure appropriate source documentation to support regulatory filings, as well as review Module 3 CMC content for IND/IMPD, BLA, & MAA, and other regulatory documents. Contribute key inputs to regulatory strategy for late-stage CMC topics, including areas requiring more sophisticated acumen such as comparability and risk-based justifications. Participate in efforts for optimization of internal business processes including input on key CMC deliverables. Generate presentations, storyboards, and written documentation related to complex technical content for internal and external stakeholders. Education and Experience: Bachelor's degree plus 17 years of experience, or Masters degree or PhD plus 10 years of experience, in bioprocess development, validation, and commercialization. 5+ years in leadership, ideally managing global teams and external partners (e.g., CDMOs) 10 years of experience in GMP, quality management system, and CMC compliance and regulation. Strong written and verbal communication skills are required. Experience working with radiolabeled antibodies is preferred. Experience of contributing to regulatory filings is preferred. Key Capabilities: Inclusive mindset: Demonstrate an understanding and appreciation for diversity, and actively work to create an inclusive environment where everyone feels valued and respected Creativity and innovation: Possess a willingness to think outside the box and come up with unique and creative solutions to challenges Commitment to excellence: Take pride in your work and consistently strive for excellence in everything you do Results-oriented: Driven to achieve goals and objectives, with a strong focus on delivering measurable results Ethical behavior: Act with integrity and demonstrate a commitment to ethical behavior in all interactions with colleagues and stakeholders Adaptability: Comfortable working in a dynamic environment, able to adjust to changing priorities, and willing to take on new challenges Strong communication skills: Able to communicate effectively with colleagues and stakeholders at all levels, using clear and concise language Collaboration: Work effectively as part of a team, actively sharing knowledge and expertise to achieve common goals Resilience: Demonstrate the ability to bounce back from setbacks and persevere in the face of challenges Continuous learning: Show a commitment to ongoing learning and professional development, continually seeking out opportunities to expand your knowledge and skills At Telix, we believe everyone counts, we strive to be extraordinary, and we pursue our goals with determination and integrity. You will be part of an engaged and supportive group of colleagues who all have a shared purpose: to help people with cancer and rare diseases live longer, better quality lives. Being a Telix employee means being a part of a unique, global, interdisciplinary team working to deliver what's next in precision medicine. We have hybrid and remote employees located all around the world. We offer competitive salaries, annual performance-based bonuses, an equity-based incentive program, generous vacation, paid wellness days and support for learning and development. Telix Pharmaceuticals is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. VIEW OUR PRIVACY POLICY HERE

Working/Functional Title Ast/Asc/Full Prof. TS - Cancer Stem Cell Biology The Precision Health Program (PHP) at Michigan State University is accepting applications for a Tenure System faculty position, rank of Assistant / Associate / Full Professor commensurate with experience and qualifications. Led by Dr. Anna Moore, Associate Dean for the College of Human Medicine, PHP is a newly established university-wide vigorous program currently consisting of five laboratories conducting independent research in the areas of cancer, diabetes, cardiovascular diseases and nanobiotechnologies (https://precisionhealth.msu.edu). The Program occupies the second floor of the Interdisciplinary Sciences and Technology Building, constructed by the university in September of 2019. The successful candidates will be highly motivated and innovative scientists with a Ph.D. in biomedical sciences, 8-10 years of research experience and a track record of excellence in of cancer stem cell biology research, including familiarity with research applications of in vivo imaging and direct experience with cancer stem cell biology. PHP Faculty are responsible for establishing their labs with sustainable research programs, participating in collaborative research, making significant scholarly contributions to their respective disciplines, obtaining extramural funding, and engaging in institutional and professional service and education. Compensation and Benefits Faculty at MSU enjoy competitive benefits, development, recognition, and retirement options, details of each area available at this site - MSU Faculty and Academic Staff. Benefits include health, dental, and life insurance coverage options, as well as employer paid long-term disability coverage. Retirement plans include a 2 to 1 employer match for an employee contribution of 5% to the 403(b) Base plan, a 403(b) supplemental plan and 457(b) deferred compensation plan are also available. Base salary for this position starts at $100,000 and is negotiable, based on experience and qualifications. Additionally, a generous start-up package will be offered. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Biomedical Sciences Minimum Requirements PhD in a Biomedical Science field with 8-10 years of research experience relevant to cancer stem cell biology, in vitro and in vivo applications, experiment design and execution, and data analysis. Desired Qualifications Hands-on experience with cancer stem cells, analytical assays, testing and imaging. Required Application Materials CV Cover Letter Name and contact information for (3) references. The search committee will not contact references without first notifying the candidate Review of Applications Begins On 02/03/2025 Summary of Health Risks Exposure to human blood, serum, tissue, and other body fluids; and materials covered under Universal Precautions. Work with animals or unfixed animal tissue Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website RADIOLOGY.MSU.EDU Department Statement Michigan State University Department of Radiology strives to become a nationally and internationally acclaimed department by providing access to the highest quality medical care in our patient-centered environment, training future generations of highly skilled and compassionate physicians, advancing medical knowledge through state-of-the-art research, while meeting the wellness needs of our population through community outreach. MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

Working/Functional Title Ast/Asc/Full Prof. TS - Cancer Stem Cell Biology The Precision Health Program (PHP) at Michigan State University is accepting applications for a Tenure System faculty position, rank of Assistant / Associate / Full Professor commensurate with experience and qualifications. Led by Dr. Anna Moore, Associate Dean for the College of Human Medicine, PHP is a newly established university-wide vigorous program currently consisting of five laboratories conducting independent research in the areas of cancer, diabetes, cardiovascular diseases and nanobiotechnologies (********************************* The Program occupies the second floor of the Interdisciplinary Sciences and Technology Building, constructed by the university in September of 2019. The successful candidates will be highly motivated and innovative scientists with a Ph.D. in biomedical sciences, 8-10 years of research experience and a track record of excellence in of cancer stem cell biology research, including familiarity with research applications of in vivo imaging and direct experience with cancer stem cell biology. PHP Faculty are responsible for establishing their labs with sustainable research programs, participating in collaborative research, making significant scholarly contributions to their respective disciplines, obtaining extramural funding, and engaging in institutional and professional service and education. Compensation and Benefits Faculty at MSU enjoy competitive benefits, development, recognition, and retirement options, details of each area available at this site - MSU Faculty and Academic Staff. Benefits include health, dental, and life insurance coverage options, as well as employer paid long-term disability coverage. Retirement plans include a 2 to 1 employer match for an employee contribution of 5% to the 403(b) Base plan, a 403(b) supplemental plan and 457(b) deferred compensation plan are also available. Base salary for this position starts at $100,000 and is negotiable, based on experience and qualifications. Additionally, a generous start-up package will be offered. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Biomedical Sciences Minimum Requirements PhD in a Biomedical Science field with 8-10 years of research experience relevant to cancer stem cell biology, in vitro and in vivo applications, experiment design and execution, and data analysis. Desired Qualifications Hands-on experience with cancer stem cells, analytical assays, testing and imaging. Required Application Materials CV Cover Letter Name and contact information for (3) references. The search committee will not contact references without first notifying the candidate Review of Applications Begins On 02/03/2025 Summary of Health Risks Exposure to human blood, serum, tissue, and other body fluids; and materials covered under Universal Precautions. Work with animals or unfixed animal tissue Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website RADIOLOGY.MSU.EDU Department Statement Michigan State University Department of Radiology strives to become a nationally and internationally acclaimed department by providing access to the highest quality medical care in our patient-centered environment, training future generations of highly skilled and compassionate physicians, advancing medical knowledge through state-of-the-art research, while meeting the wellness needs of our population through community outreach. MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

We're seeking skilled Biology, Chemistry, and Physics subject matter experts to contribute their specialized knowledge and enhance the quality of our AI training datasets. This role offers the chance to work remotely, partnering closely with Meta's AI research teams to advance cutting-edge technologies. What You'll Do: · Domain Expertise Advisory: Guide research teams to close knowledge gaps and improve AI model performance, focused on your specialty field; collaborate with other subject matter experts to ensure consistency and accuracy in training data · Guideline Development: Create, edit, and maintain high-quality annotation guidelines tailored to your area of expertise. Ensure that these guidelines are up-to-date, clear, and concise to enable vendors to deliver accurate annotations. As a domain SME, you'll set the gold standard for quality and rigor. · Quality Assurance: Evaluate and grade the quality of annotations produced by vendors. Identify areas of improvement and provide feedback to optimize the quality of annotations. · Data Annotation: Directly annotate data for key tasks across the model development life cycle. problems in logical, step-by-step thinking preferred. · Domain Knowledge: Experience with physics (specific sub-domains below). · Deep Knowledge: Demonstrated deep understanding and expertise in physics. · Communication Skills: Strong written and verbal communication skills to effectively convey complex ideas and guidance to internal teams and external vendors. · Analytical Skills: Exceptional analytical abilities to identify trends, evaluate annotation quality, and provide actionable feedback. · Collaboration: Proven ability to work collaboratively with cross-functional teams and external partners to achieve shared goals. · Adaptability: Flexibility and willingness to learn and adapt to new technologies and processes in a rapidly evolving environment. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Advanced degree (PhD preferred; exceptional candidates with Master's degrees considered) in a relevant scientific field - Demonstrated expertise in a specialty area within Biology, Chemistry, or Physics (outlined below) - Strong analytical, problem-solving, and technical communication skills - Ability to work both independently and as part of a collaborative scientific team Biological Sciences - Priority Expertise Areas: We are recruiting across a broad range of biological subdisciplines with emphasis on the following (listed by priority need): 1. Ecology / Environmental Science / Geology Ecosystem dynamics, environmental modeling, Earth systems, geobiology. 2. Animal Behavior / Evolutionary Biology Behavioral ecology, evolutionary mechanisms, population dynamics. 3. Bioinformatics Computational biology, genomics, large-scale data analysis, algorithmic methods. 4. Biomedical & Clinical / Translational Science Physiology, pathology, toxicology, pharmacology, molecular mechanisms of disease. - Record of peer-reviewed publications or demonstrated research impact - Experience with computational tools, statistical modeling, or simulation frameworks - Ability to communicate complex concepts to technical and non-technical stakeholders - Cross-disciplinary interest or experience

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ Waabi's autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Simulation models that can reason about complex, dynamic 4D environments with minimal supervision. Your work will directly power Waabi World's ability to comprehend the 4D physical world, simulate traffic participants and generate realistic safety-critical scenarios at scale. You will…- Conduct fundamental and applied research in generative and predictive world-modeling (e.g., latent diffusion, video generation models, 3D Gaussian splatting, NeRF) on multi-sensor multi-modal data of driving scenes.- Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics. Qualifications:- Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.- Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.- Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications.- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus:- Proven ability to translate research into production-quality code and measurable product impact.- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, NeRF/3DGS, diffusion, flow-matching, or foundation models for autonomy.The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who We Are Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world's largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we're entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG. What you'll do Conduct research to develop new functionalities and improve existing technologies for real-time video processing. Publish patents and peer-reviewed papers in top computer vision, audio, and speech conferences. Collaborate with other research engineers and contribute to regular research reviews and code reviews. Design, implement, and evaluate algorithms related to video processing and meeting analytics. Help deploy research models and tools in partnership with engineering teams. Participate in cross-functional team meetings and provide insights based on research findings. Who you are You have a passion for technology and are constantly researching new/emerging solutions. You are self-motivated and work with minimal supervision. You make relevant, specific, and high-value recommendations for the design or implementation of a platform, including automation, features, security, and manageability. You are resilient in the face of challenges, change, and ambiguity. You are optimistic and believe that you can turn a problem into a solution. You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed. You take accountability, do the things you say you'll do, under-promise and over-deliver. You are nimble and adaptable when priorities change and continue to see the “forest through the trees”. Your skill-set PhD in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial Intelligence) or equivalent experience. 3+ years of professional experience in Deep Learning, ideally in computer vision, face recognition, deepfake detection, audio processing, or general machine learning. Experience with real-time video processing and data acquisition, as well as preparation for such tasks. Strong programming skills in Python and C/C++. Experience with ML frameworks such as TensorFlow, Keras, and PyTorch. Preferably experience with Go, TF-Lite, and TF-Micro. Ability to design, develop, and maintain research packages to train and test ML models. Ability to publish patents and peer-reviewed papers in top computer vision, audio and speech, and conferences. Competence in maintaining internal research models and packages, ensuring reproducibility and computational efficiency. Collaboration skills to partner with engineering teams on deploying research models and tools. What's in it for you As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We're a passionate group committed to excellence - but that doesn't stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO. Within 30 days, you'll Understand Pindrop as a product and the deepfake technology space. Dive into your role and understand how your success will be measured. Get acclimated to your surroundings and your team, including meeting with your onboarding buddy and key department members. Read through the Pindrop Lexicon to familiarize yourself with company terms and complete any required role-based training. Be introduced to your team and colleagues and added to any standing meetings such as 1:1's, standups, and weekly touchpoints. Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers. Within 60 days, you'll Accomplish some quick wins and start adding value, particularly within your immediate responsibilities. Establish relationships with key partners for continued collaboration and build your Objectives and Key Results (OKRs) for the next quarter. Understand expectations for the team and be able to start planning for development and contributing to projects. Start a research project agreed upon with your direct manager. Within 90 days, you'll Schedule and complete a 90-day check-in with your manager to discuss wins, blockers, and next steps. Have an intermediate level of familiarity with the products and corresponding research initiatives. Start executing against the research roadmap and contribute significantly to team objectives. What we offer As a part of Pindrop, you'll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here's a snapshot of the benefits we offer: Competitive compensation, including equity for all employees Unlimited Paid Time Off (PTO) Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! Best-in-class Health Savings Account (HSA) employer contribution Affordable vision and dental plans for you and your family Employer-provided life and disability coverage with additional supplemental options Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents One year of diaper delivery for your newest addition to the family! It's our way of welcoming new Pindroplets to the family! Identity protection through Norton LifeLock Recurring monthly Phone and Internet allowance One-time home office allowance Remote first environment - meaning you have flexibility in your day! Company holidays Annual professional development and learning benefit Pick your own Apple MacBook Pro Retirement plan with competitive 401(k) match Wellness Program, including Employee Assistance Program, 24/7 Telemedicine Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer. US Base Pay Range $150,000-$175,000 USDWhat we live by At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work: Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible. Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time. Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like. We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences by integrating and optimizing state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing technologies that power intelligent user experiences for long-term satisfaction. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.What You'll Do Participate in groundbreaking research in artificial intelligence and machine learning with a focus on large-scale solutions to optimize recommender systems. Apply your scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on development. Work on practical applications such as recommendations and scalable evaluations. Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems. You'll have product impact, while working on and further developing a long-term research roadmap. You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences. Who You Are You have a Masters or PhD in machine learning, data science, or related areas or are enrolled in an advanced degree program. Demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences (such as NeurIPS, KDD, RecSys or related) A solid understanding or past research experience on recommender systems and ability to optimize Generative AI models for new targets, rewards or multiple objectives. Solid hands-on skills in implementing advanced algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data. You're a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. Where You'll Be This role is based in New York City. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. The United States base range for this position is $133,195 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: ***********************************

LLM - Applied AI Research Scientist Availability : A minimum of 4 hours of mandatory overlap with PST (12 PM-6 PM PST) Employment Type: Contractor assignment (no medical/paid leave) Contract Duration: Rate Range: Competitve, TBD Company Overview: Based in San Francisco, California, our client is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. they supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: We are seeking highly skilled Applied AI Research Scientists with deep expertise in Computer Engineering and hardware-centric systems with an MS or Ph.D. in a relevant technical field to design and execute expert-level evaluation tasks that probe the limits of state-of-the-art AI systems. In this role, you will create headroom-level, rigorously verifiable evaluation questions rooted in hardware, architecture, and low-level systems reasoning. Your work will focus on exposing model limitations in areas that require deep technical correctness, precise reasoning, and graduate-level understanding of computing systems-well beyond surface-level explanations. You will work closely with a collaborative, cross-functional team and are expected to be highly detail-oriented, reliable, and committed to accuracy and quality. Roles & Responsibilities: Design graduate- and research-level evaluation questions grounded in hardware and computer engineering domains. Create tasks that require precise, step-by-step technical reasoning with objectively verifiable ground-truth answers. Develop multimodal prompts, including accurate block diagrams, timing diagrams, microarchitecture diagrams, or circuit-level visuals when appropriate. Evaluate state-of-the-art AI models on hardware- and systems-heavy reasoning tasks and perform structured side-by-side comparisons. Identify and document model failure modes related to architectural correctness, performance reasoning, or low-level system behavior. Provide authoritative solutions and explanations for each evaluation task. Maintain detailed and accurate records of prompts, expected answers, and evaluation outcomes in shared tracking systems. Collaborate with reviewers and researchers to refine evaluation quali MS or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field. Strong expertise in at least two of the below hardware- and systems-focused domains: Computer architecture (pipelines, memory hierarchies, cache coherence, ISA-level reasoning) Hardware systems and performance analysis VLSI design, digital logic, or ASIC/FPGA fundamentals Embedded systems and low-level firmware Operating systems (especially memory management, scheduling, and hardware-software interfaces) Compilers or systems programming with hardware awareness Proven experience in technical research, evaluation, or rigorous problem formulation in academic, lab, or production-oriented environments. Strong programming skills (especially Python, C or C++) for analysis, verification, and evaluation workflows. Excellent written communication skills and a strong attention to technical detail. Evaluation Process: Round 1: Take home assessment Offline assessment to be completed and submitted for review. Round 2: Delivery Interview (60 minutes) A combined technical and cultural discussion with the Delivery Team. Additional Information All your information will be kept confidential according to EEO guidelines.

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience. Role responsibilities include:- Leading research contributing to the development of humanistic AI for autonomous systems- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas- Collaborating with engineering and business teams to develop novel solutions to real-world problems- Designing experiments and metrics for benchmarking results Publishing research in top-tier conferences and journals Qualifications:- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field- Passionate about self-driving vehicles and real-world robotics solutions.- Experience collecting, processing, and analyzing real-world data.- Strong presentation and communication skills. Recommended- Publication record in top-tier conferences in Robotics and related fields.- Programming experience, ideally with Python and/or C++.- Robotics experience is a plus.

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake. Tech: You will have access to our massive GPU cluster for training and inference Some core technologies we use include Python, torch, diffusers, and the fal Python SDK You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs You have work published in ICCV, ICML, Neurips, CVPR What we offer at fal Interesting and challenging work Competitive salary and equity A lot of learning and growth opportunities We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates. We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites

About the Role We're seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models. You'll help advance the frontier of controllable 3D content creation-building models that generate consistent, editable, and physically grounded 3D assets and scenes. What You'll Do Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction. Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields). Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency. Analyse model behaviour through ablations, visualisations, and quantitative metrics. Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems. Publish results at top-tier venues and work with interns. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics. Published work on diffusion, flow-matching, or score-based generative models (2D or 3D). Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation. Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks). Solid grasp of geometry processing, multi-view consistency, and differentiable rendering. Ability to scale experiments efficiently and communicate complex results clearly. Bonus / Preferred Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout. Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition). Knowledge of video-to-3D, image-to-scene, or 4D temporal generation. Background in physically-based rendering, simulation, or world-model architectures. Track record of impactful publications or open-source releases. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon's Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. Beacon Biosignals is seeking an experienced neuroscientist/data scientist to serve as a scientific partner to Beacon's Life Science customers, working directly with pharmaceutical and biotechnology teams to analyze clinical trial data and extract meaningful insights using Beacon's devices and AI/ML models. In this customer-facing role, you'll be embedded in active client engagements, helping translate complex neural data into scientifically rigorous, decision-relevant results that inform drug development programs across neurological, psychiatric, and sleep disorders. As a member of Beacon's Data Science Group, you will design and execute analyses on real-world and clinical trial EEG data, applying statistical, computational, and neuroscientific expertise. You will work closely with customer scientists, clinicians, and program leaders-leading scientific discussions, presenting results, and iterating collaboratively as studies evolve. You will also act as a critical bridge between customers and Beacon's other internal teams. By deeply understanding customer goals, constraints, and feedback, you will help shape analytical approaches, influence product and model development, and ensure Beacon's technology continues to meet the needs of real-world clinical programs. At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and-most of all-a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston, New York City, and Paris. For this position, candidates based in the United States are preferred to minimize logistical hurdles and maximize timezone overlap with colleagues and partners. What success looks like Lead and support the scientific and technical aspects of multiple concurrent studies, including timeline estimation, task delegation, timely execution, and stakeholder communication Engage with external stakeholders to align their needs with internal capabilities and capacities to ensure analyses bring maximal value while remaining operationally feasible Deliver clear and impactful presentations and data visualizations to varied audiences, both internal and external Leverage Beacon's products and your own subject matter expertise to inform analysis planning and execution Write and review reusable, documented, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines Contribute to statistical analysis plans for clinical trials in collaboration with internal subject matter experts and external stakeholders Co-author scientific reports whose impact pushes the field past contemporary limitations Dig into large, messy, unfamiliar datasets, document their idiosyncrasies and provenance, and harmonize them with Beacon's Datastore What you will bring You've spent multiple years using your expertise in neuroscience and statistics to analyze data, draw insights, and answer scientific questions for stakeholders You have substantial experience presenting analyses to external audiences of varied backgrounds; you've learned the hard way what does and does not make an understandable and impactful presentation You thrive in a fast-paced, highly customer-facing environment You have excellent written and verbal communication and listening skills You have experience writing and reviewing code in a shared, version-controlled codebase with multiple contributors and users You're painfully aware that thoughtful data curation is a prerequisite to analysis results that hold up under practical application You're familiar with statistical modeling, including interpretation and diagnostics You love teamwork and recognize that people can achieve more together than individually. You value close collaboration, open communication, and tight feedback loops to ensure you and your team are working together effectively and doing your best work You stay calm and organized to meet tight deadlines amidst ambiguity You're familiar with and/or are excited to work with the technologies that power Beacon's data and reporting systems, including Julia, AWS, Superset, Pandoc, SQL, and GraphQL You have exceptional attention to detail and maintain a high standard of quality in your work and output, but you also know when "quick and dirty" is the right approach You're comfortable working in a highly asynchronous hybrid work environment, and have demonstrated success doing so in the past The base salary range for this role is determined based on past experience, specific skills, and qualifications. The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits. At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. The Department of Radiology, University of Wisconsin - Madison, School of Medicine & Public Health is seeking a Scientist who will play a key role in developing and translating next generation radiomics (machine learning in radiology imaging) methods for projects ongoing in Dr. Pallavi Tiwari's lab. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build and optimize AI and machine learning models that identify computerized image-based phenotypes, and their associations with genomics and histopathology for disease characterization, with the aim of developing personalized diagnostic tools towards improved early diagnosis, prognosis, and response to treatment for neurological conditions and other diseases. More information about our research and publications can be found at **************************** The Scientist will work on interdisciplinary and translational research in personalized diagnostics towards early diagnosis, prognosis, and response to treatment for brain tumors, neurological disorders, and other diseases (e.g., breast cancer, pancreatic cancer, liver disease). The Scientist will be responsible for identifying clinically translatable research problems relating to these diseases; developing research methodologies and experiments to identify and utilize radiomic, radio-genomic, and radio-pathomic phenotypes to better characterize these diseases (e.g., building a classifier to predict disease progression or the risk of developing advanced cancer); and training students. ADDITIONAL JOB DETAILS: This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location. Multiple Titles: Scientist I, Scientist II, or Scientist III. Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist. Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration; Candidates should have demonstrated ability to work effectively in a collaborative manner with faculty and staff, as well as other institutional representatives; Strong organizational, written, and verbal communication skills; High levels of critical thinking, excellent technical skills, and a strong track-record of accomplishment and productivity in research as evidenced by high-quality publications related to medical imaging, oncology, and/or machine learning and artificial intelligence. Key Job Responsibilities: Writes or assists in developing grant applications and proposals to secure research funding Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area Assists with the identification of research problems and the development of research methodologies and procedures Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility Department: School of Medicine and Public Health, Department of Radiology, Tiwari Research Lab Join UW Radiology and UW Health-A Legacy of Innovation The University of Wisconsin Department of Radiology, in partnership with UW Health, has been at the forefront of clinical care, imaging research, and education for nearly a century. Since its inception on May 18, 1927-when Dr. Ernst Pohle was appointed as the first professor of Radiology, the department has grown to more than 160 faculty members across 14 specialized sections, serving as a key pillar of UW Health's world-class medical enterprise. What Sets Us Apart Collaborative Excellence: Strong partnerships with UW Health, Medical Physics, and leading equipment vendors drive continuous advancements in imaging. Cutting-Edge Technology: We utilize state-of-the-art imaging in CT, MR, PET/CT, PET/MR, angiography, ultrasound, PACS, and AI-driven medical imaging. Robust Research Infrastructure: Dedicated support for grant writing, media specialists, research nurses, technologists, and data managers enhance investigative success. Premier Imaging Facilities: The WIMR Imaging Sciences Center offers 60,000 square feet of advanced imaging space, including MRI, PET/MRI, PET/CT, CT, ultrasound, angiography, cyclotron, radiopharmaceutical production and comprehensive small animal imaging technologies. Together, UW Radiology and UW Health are committed to advancing human health through groundbreaking clinical care, pioneering research, and excellence in education. We foster a respectful, adaptive, and accountable environment-one that prioritizes innovation while serving the needs of all patients, including underserved populations. Visit our official website to learn more about our work and opportunities. Compensation: The starting salary for the position is $70,000 annually; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer Required Qualifications: At least 3 years of post-doctoral research experience in medical imaging, oncology, and/or machine learning and artificial intelligence in an academic or similar research environment. Productivity evidenced by at least 2 first-author papers or preprints in the last 5 years. Prior experience handling large imaging data sets and bioinformatic analysis. Programming experience in Matlab, Python and/or R. Preferred Qualifications: Previous grant writing experience; manuscript writing; program management and/or development experience. Experience contributing to clinical research projects, including IRB protocols and clinical trials. Knowledge of statistical analysis and data visualization tools (R, SAS, Matplotlib, Seaborn, Plotly). Education: Terminal Degree Required; PhD in Engineering, Medical Physics, or a related technical field by application date. How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. Upload required documents: • Cover letter • Resume Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes, and a candidate is selected. University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work. The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees. Contact Information: Amanda Joncas, **************** Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

We are seeking a computational biologist with a strong track record of advancing biological discoveries through data analyses to join the Vertex Data and Computational Sciences (DCS) organization. In this role, you will leverage cutting‑edge computational biology to accelerate the development of transformative therapies for serious human diseases. As a member of cross-functional disease project teams, you will contribute to the development of novel therapies in areas including lung diseases and pain. You will design genomics and human genetic studies, develop and apply analytical methods, and interpret results that directly inform program strategy, target evaluation, and mechanistic understanding. You will also play a key role in innovating, evaluating, and applying state-of-the-art computational analyses to enable rapid, data-driven decisions. An independent and proactive approach, along with seamless cross-functional collaboration will be essential for success in this role. This is a San Diego based, hybrid position requiring 3 days/week onsite. Key responsibilities: Proactively collaborate with cross‑functional project teams as the computational biology expert to identify key scientific questions that can be addressed through human genetics, genomics, sequencing, and computational analyses. Design and execute studies across diverse omics, including bulk RNA‑seq, whole‑genome sequencing, single‑cell RNA‑seq, spatial transcriptomics, and human genetics. Perform sophisticated computational analyses of internal and external datasets, integrating deep critical thinking, statistical rigor, domain expertise, and best practices from the literature to generate actionable insights. Incorporate publicly available genomic resources (e.g., GTEx, gnom AD, FinnGen, UK Biobank) to contextualize and interpret internal data. Distill complex analyses and scientific results into clear presentations, including key take-home messages and recommendations for next steps to a broad audience. Author study reports, white papers, and manuscripts to support internal decision-making and external communications including regulatory filings. Partner with the DCS method development team to develop innovative methods and improve usability, accuracy, and robustness of existing ones. Knowledge and Skills: A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data Solid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology Expertise with applying computational methods and bioinformatics tools to large-scale data Solid understanding of statistics Education and Experience: PhD degree (or Master's degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field with 0-3 years (or 3+ years for Master's degree) of productive, relevant industry or post-doc experience. A proven track record of stand-out excellence in the analysis, visualization, and interpretation of genomic data (such as next-generation sequencing (NGS)) or human genetic data. Demonstrated ability to work across cross-functional teams, ensuring timely progress. Superior communication skills, demonstrating confidence and versatility in presenting verbally to diverse audiences and writing technical documents. Deep scientific understanding of genetic variation in human disease, molecular biology, and cellular biology. Expertise with rapidly applying computational methods and bioinformatics tools to large-scale data. Proficiency with R and/or python, and high-performance computing systems; solid understanding of statistics. A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges. #LI-KM1 #LI-Hybrid Pay Range: $112,000 - $168,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. #LI-Hybrid Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

Career CategoryResearchJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Scientist - Research Computational Biology (ARIA) What you will do Let's do this. The ARIA Computational Biology team is seeking a talented and creative computational biologist to further our mission of serving patients by advancing and replenishing the Amgen therapeutic pipeline. In this role you will apply your expertise in data science and disease biology to accelerate the identification, prioritization, and validation of transformative therapeutic targets in a dynamic cross-functional research environment. Focus areas include: Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses. Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships. Partnering with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a computational biologist with these qualifications. Basic Qualifications: Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable] Or Master's degree and 3 years of relevant research experience Or Bachelor's degree and 5 years of relevant research experience Preferred Qualifications: Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git). Track record of designing and implementing creative and holistic computational strategies to address challenging research questions. Demonstrated expertise in the analysis and interpretation of single cell omics data. Excellent presentation and communication skills to convey complex findings to diverse audiences. Self-starter with a collaborative mentality and a drive for continuous growth. Strong background in cardiometabolic disease and/or immunology, including application to the interpretation of single-cell data. Experience leveraging and fine-tuning transcriptional foundation models, LLMs, and biomedical knowledge graphs to further research goals. Familiarity with public data resources (e.g. DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) frequently used to augment analyses of internally generated data. Experience developing and deploying tools and pipelines to endpoints such as interactive portals (e.g. RShiny apps), workflow management systems (e.g Nextflow), and agentic frameworks. What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models, including remote and hybrid work arrangements, where possible Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. . Salary Range 132,494.00 USD - 163,875.00 USD

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .