Senior Scientist jobs at University of Massachusetts Medical School

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements We're an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills, both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures, loss functions, training methods, training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms, we also write our own training loops. Additionally, the models need to be directly deployable in our products, therefore, production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore, ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next, the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration, generation (synthetic), design, construction and analysis, are a routine part of the job and may occupy a significant fraction of your time. Also, datasets can be large (billions of samples), therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance, code hardening (preparing the model and code for production pipelines), developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day, your responsibilities are to: Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage. Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions. Help out with ad-hoc one-off tasks as a team player within the AI team. Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality. Investigate weaknesses of models in production and work on pragmatic solutions. Utilize, adopt, and fine-tune off the shelf models, including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models. Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings. Write clean, efficient, and modular code with automated tests and appropriate documentation. Stay up to date with technology and platforms, make good technological choices, and be able to explain them to the organization. Work with downstream teams to productionize your work and ensure that it makes into a product release. Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners. Present and publish your work. Qualifications Required Qualifications: Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering. At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering. A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite. Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc. Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.). An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: We're an applied science group, therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A Computer Science educational background is preferred as opposed to statistics or pure mathematics. Familiarity in building front-ends (Gradio, Streamlit, Dash or more standard React, Javascript, Flask) for simple demos, POCs and prototypes. Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM, using industry accepted platforms. Showcase previous work (e.g. via a website, presentation, open source code). Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111,000/year to $185,000/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily - solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos, collaborate effectively, and celebrate each other's successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage* Education Reimbursement* Competitive Paid Time Off 4 Self-Care Days per year National Holidays* 2 Founder Days + Juneteenth Observed Paid Volunteer Time* Charitable contribution match* Monthly Wellness or Home Office Reimbursement* Access to Modern Health (mental health platform) Parental Leave* Retirement Plan with match/contribution* * varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it's unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you're willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to: Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered. Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices. Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary. Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters. Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs. Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings. Optimize models for scaled production usage. Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners. Write clean, efficient, and modular code, with automated tests and appropriate documentation. Stay up to date with technology, make good technological choices, and be able to explain them to the organization. Qualifications Required Qualifications: Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A strong understanding of the math and theory behind machine learning and deep learning. Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review). Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases). An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We're an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda). Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes. Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai). Showcase previous work (e.g. via a website, presentation, open source code). Additional Information The expected annual base salary range for this position is: $111,000/year to $185,000/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily - solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos, collaborate effectively, and celebrate each other's successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage* Education Reimbursement* Competitive Paid Time Off 4 Self-Care Days per year National Holidays* 2 Founder Days + Juneteenth Observed Paid Volunteer Time* Charitable contribution match* Monthly Wellness or Home Office Reimbursement* Access to Modern Health (mental health platform) Parental Leave* Retirement Plan with match/contribution* * varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it's unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you're willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

NORC at the University of Chicago is seeking a qualified Research Scientist to support the Health Care Research Department in our Chicago Loop office. This position is responsible for providing direction and task leadership in all aspects of project work, including, but not limited to Medicare and/or Medicaid data, and which could include analytic approach, questionnaire design, data collection strategy, acquisition of existing data, data analysis, and/or preparing study conclusions for projects. NORC recognizes that talented and skilled researchers live throughout the U.S. and actively supports remote work arrangements. As a condition of employment, all NORC employees and contractors - including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: Health Care Programs and Evaluation NORC's expertise and ongoing work in health care delivery and financing - including access to insurance, payment and delivery-system reform, benefit design, and quality measurement - advance stakeholders' understanding of policies and programs, facilitate implementation, and contribute to important improvements in cost and quality. NORC's expert staff has extensive knowledge of all aspects of health care delivery, from private marketplaces and employer-sponsored insurance to Medicare and Medicaid; from large health care systems to small clinics; and from the needs of children to those of older adults, people with disabilities, and ethnic and racial minorities. Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs. NORC's Health Care staff work closely with colleagues in Health Sciences and Public Health to offer program, policy, and research solutions. Our work is guided by a commitment to long-lasting partnerships, transparency, and high-quality, nonpartisan research that improves health and health care for all people. RESPONSIBILITIES: Serve as task leader on complex scientific and or technical components of large projects, or a series of smaller projects, as part of a multidisciplinary team. Contribute substantively to planning discussions around the collaborative design of quantitative and qualitative research studies, evaluations, and analyses. Develop structured interview protocols and content; and lead or co-lead stakeholder interviews. Assist with the management and oversight of project-specific budgets and contracts. Work closely with project leadership and clients to ensure that we meet contractual requirements (deliverables and timelines) and client expectations using the highest standards of quality and collegiality, and within budget parameters. Author sections of analysis reports, technical reports, and other documented deliverables that are due to the client as described in project statements of work. Co-author and present research at client and professional meetings and participate in in-person briefings of project findings. Contribute to the development of abstracts and articles for publication in refereed journals. As part of the larger proposal team, and with guidance from departmental leadership Independently draft and manage contract proposals and grant applications, communicating effectively with proposal team members, within and across departments, with clients, consultants, and members of the policy and research community. Supervise and mentor junior staff, as relevant to experience, and tasks Perform other duties as assigned within the department to contribute to the growth and to ensure the well-being of its members. REQUIRED SKILLS: Master's Degree or Bachelor's Degree in public policy or related fields (training in an array of social science disciplines will be considered). PhD preferred. At least 7 years' experience in positions of increasing responsibility in evaluation research, policy analysis, survey research or related field (or equivalent education) including at least 3 years of social science project management. Knowledge of the Medicare and/or Medicaid programs, including delivery system reform, provider payment, access to care, and beneficiary experience. Familiarity with Medicare, Medicaid, and/or commercial claims data is a plus Experience working for the federal government or a federal contractor, ideally with work focusing on the Medicare and/or Medicaid program. Experience with conducting policy analysis in a government or professional services environment. Experience with and knowledge of the principles of quantitative and qualitative research design, data collection, and data analysis. Experience with estimating project and proposal costs and managing project budgets. Excellent oral and written communication skills and aptitude in working with project teams, leading tasks, and coordinating across multiple projects (including those run by others within NORC). WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics. #LI-MS1

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC, part of the Physics, Math, and Astronomy Division at Caltech, provides science operations, user support, data and archive services, and scientific vision to enhance discovery with observatories both in space and on the ground. IPAC invites applications to the science staff from highly qualified individuals for a full-time position to work on a spectroscopic science pipeline on the wide-field instrument with the Roman team at IPAC. The Nancy Grace Roman Space Telescope is a NASA observatory designed to address key questions in the areas of dark energy, exoplanets, and infrared astrophysics. It is slated for launch in late 2026. The Roman Science Support Center (SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm and software development for spectroscopic and Galactic Bulge Time Domain Survey data processing. In addition, the SSC will support the operations of the Coronagraph Instrument, manage the Roman guest investigator proposal solicitations, and provide community support for exoplanet and wide-field spectroscopy science with Roman. For more details, see: ************** ipac. caltech. edu Essential Job Duties As a scientist on the Roman Science Support Center team at IPAC, you will: Develop and test algorithms for extracting near-infrared, slitless spectroscopy taken with the wide-field instrument and the measurement and classification of galaxy spectra. Participate in the planning and implementation of observatory and science calibration and commissioning of Wide Field spectroscopy with Roman. Work with software developers to implement and test pipeline modules. Write pipeline documentation and support the user community. Participate in meetings (virtual and in-person) with the wider Roman team. Conduct independent research. Basic Qualifications If you have the following in your background, then we want to hear about your interest in joining our team: PhD degree in astrophysics or a closely related field. 2 years post-PhD experience with data processing and calibration of infrared and/or optical spectra from space observatories. Ability to work in a team environment. Good written and verbal communication skills. Qualify as a US PERSON as defined by ITAR regulations - A US person is a citizen of the United States, a lawful permanent resident alien of the US ("Green Card" holder), or an individual granted refugee or asylee status under US law. Preferred Qualifications Beyond these basic qualifications, there are a set of skills and experiences which will add to your ability to contribute to the roles and responsibilities of this position. Any of the following might give you a head start here, but even if these do not describe you or your experience, we would still like to hear from you. Reduction and analysis of slitless spectra, including spectral feature identification, decontamination and measurement. Experience in developing and testing software for inclusion in automated pipelines. Required Documents Full resume Cover letter List of three professional references Applications will be accepted until October 8, 2025. Preferred start date is December 2025 or earlier. Depending on start date, an initial remote working arrangement may be considered for up to three months. People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers and lasting relationships. Caltech's benefits program offers a quality, competitive benefits package that is affordable for you and the Institute. The program provides a strong base of coverage for you and your dependents, and the ability to choose the plan and the level of coverage that best meet your needs. We also offer a 403(b) defined contribution plan to eligible staff as well as a Voluntary Retirement Savings (TDA) Plan. IPAC staff have access to the Institute's facilities, including the athletic center, libraries, on-site daycare, professional development and enrichment classes, and Athenaeum club membership.

Dept Number/Name: 0-6201-000 / College Of Nursing-Dean College Division: USFHealth-College of Nursing Salary Plan: Faculty Job Code/Title: Associate/Full Professor Hiring Salary/Salary Range: Negotiable 00002150 The College of Nursing is one of 14 colleges that comprise the University of South Florida and one of four colleges within USF Health. USF is a member of the prestigious Association of American Universities and is designated as both a Research 1 and a Community-Engaged institution by the Carnegie Foundation. U.S. News & World Report has ranked USF as one of the nation's top 50 public universities for five consecutive years, and in 2023, USF earned its highest ranking ever among all universities public or private. The College of Nursing is recognized as a nursing education and research leader, serving over 2,400 undergraduate, master's, and doctoral students annually. For the third consecutive year, our Master of Science in Nursing program ranked No. 1 among all public Florida Institutions and is proudly positioned at No. 24 nationally. The College of Nursing is an integral part of the USF Health community. We live by our mission to employ the core values of excellence, innovation, inclusion, and respect to educate future nurses, advance nursing science, and implement evidence-based clinical practice to improve health and wellness. POSITION SUMMARY: The University of South Florida College of Nursing is seeking an outstanding scientist for the position of Dorothy Benjamin Term Scientist in Memory Disorders. The incumbent will lead/expand the development of memory disorders research in the College of Nursing. This esteemed position comes with a generous start-up package as well as the opportunity to collaborate with researchers in established centers across the University and community. Responsibilities RESPONSIBILITIES: The incumbent will maintain a high level of external grant-supported research, disseminate research findings, and promote the translation of research findings into practice working closely with practice colleagues. The incumbent will mentor junior faculty, clinician scientists, and students; participate in the development and submission of interdisciplinary grant applications for centers and training programs; and maintain individual extramural funding. Qualifications POSITION QUALIFICATIONS: MINIMUM: Candidates must hold an earned doctorate in nursing or related field. If a nurse, the applicant must be eligible for licensure as a Registered Nurse (RN) in the State of Florida. Must meet university criteria for appointment to the rank of Associate Professor or Full Professor. Expected to have a record of research relevant to memory disorders, history of federal funding, strong publication record, demonstrated leadership with building and managing a research enterprise, commitment to excellence in teaching, and a vision that will position the College prominently at the national stage. USF offers GREAT BENEFITS to full time employees!! Medical Insurance Dental Insurance Vision Insurance Paid Vacation Days Paid Sick Days 11 Paid Holidays Various Retirement Options, Tuition Assistance (available for yourself, spouse, partner or dependent) On-campus Childcare Options Flexible Work Program: full-time/part-time remote work (based on position requirements) Other Voluntary Benefits Offered For more information about your total compensation package and other USF benefits, please visit: Work at USF

is based remotely (working from home). About Lockwood: Lockwood collaborates with clients in the pharmaceutical, biotech, and medical device industries to identify effective, holistic, science-based strategies to address their objectives through medical communications. Our clients count on us to challenge their assumptions and help them creatively navigate around obstacles. From strategy through execution, we focus on accuracy, transparency, and scientific value to create programs that are evidence-based, clinically relevant, and contribute to the development of our clients' brands. Over a third of our staff hold advanced scientific or medical degrees, and most work from where they live. Because our flexible structure provides better work-life balance, we attract the best talent, facilitate their best work, and as a result, are more responsive to our clients, wherever and whenever they do business. Summary: In this role, the Senior Associate Scientific Director is responsible for developing high-quality, medically accurate content for assigned projects under the supervision of a Senior Scientific Director. Responsibilities: Responsibilities include working with the Senior Scientific Director to create scientific content that supports the achievement of brand goals, engaging with KOLs/HCPs, managing resources and timelines for assigned projects, partnering with client services to deliver projects on time and within budget, and other content-related tasks such as conducting background research, data-checking, and reference annotation. Education: An advanced degree in science (ie. PhD, PharmD, or MD) is required. CMPP preferred. Professional Skills and Requirements: Candidates must have 2 or more years of relevant job experience with medical publications, including manuscripts, posters, abstracts, podium presentations, scientific platforms, and publication extenders. This role requires demonstrated organizational, analytical, and interpersonal communication skills, as well as the ability to analyze and interpret scientific data, multitask, work independently, and manage projects within tight deadlines with limited direction. Experience with established professional medical editorial processes (ie. AMA style) and ethical guideline working knowledge (ie. ICMJE, GPP2022) is also required.

REQUIRED: Ph.D. in biochemistry, structural biology, biophysics, or a related discipline; demonstrated expertise in transmission electron microscopy (TEM) and/or scanning electron microscopy (SEM); familiarity with cryogenic sample preparation methods; strong troubleshooting, organizational, and interpersonal skills; ability to work independently while balancing the needs of a multi-user facility; and commitment to training and supporting a diverse scientific community. PREFERRED: Four+ years of research experience in biological electron microscopy; experience with cryo-FIB milling and lamella preparation; background in SPA, cryo-electron tomography, or related data processing workflows; experience identifying and diagnosing microscope or equipment performance issues; proficiency with computational tools for cryo EM data analysis; experience with Python, Linux, or HPC environments; and experience in a multi-user or shared research facility. 10/20/2025 RESEARCH SCIENTIST, CRYOEM FACILITY, Biology, will be supporting a diverse and expanding research community in cryogenic sample preparation, imaging, and data analysis and will train and support users in specimen preparation, data collection, and cryo EM/cryo ET workflows; maintain and calibrate instruments; assist in collaborative projects; and help shape next-generation techniques in structural biology including leading the integration of the HydraBio system for advanced in situ studies using fluorescence-guided targeting. Located within MIT.nano, the facility features cutting-edge instrumentation, including a Titan Krios (BioQuantum-K3), Talos Arctica (Falcon3EC/K3), and an Aquilos cryo-FIB/SEM (soon to be upgraded to a HydraBio plasma FIB/SEM with Delmic METEOR fluorescence microscope), along with Chameleon and Vitrobot vitrification systems and robust computational infrastructure. Responsibilities include user training and mentoring (~35%), facility operations and administration (~30%), collaborative work and staff-assisted usage (~20%), equipment maintenance (~10%), and community engagement (~5%). Full job description available here: ********************************************************************************

Research Associate - 37925 Research Faculty Description University of Colorado Anschutz Medical CampusDepartment: Linda Crnic Institution for Down SyndromeJob Title: Research AssociatePosition #: - Requisition #:37925Job Summary:The Linda Crnic Institute for Down Syndrome has an opening for a Bioinformatics Analyst / Data Scientist at the Research Associate level to work at the University of Colorado Anschutz Medical Campus in Aurora. The successful applicant will be an integral member of a collaborative team researching various aspects of Down syndrome using multiple omics-based approaches. Current areas of focus include:The Human Trisome Project (www. trisome. org), a large cohort study designed to understand why individuals with Down syndrome have a different clinical risk profile compared to the typical population. Studying the role of immune dysregulation and hyperactive interferon signaling in Down syndrome. Understanding molecular and genomic features of co-occurring conditions in individuals with Down syndrome. This position is responsible for performing rigorous analysis and integration of multiple -omics datasets in collaboration with other scientists on the team. The successful candidate will have extensive computational and analytical skills and a demonstrated ability perform the tasks outlined below. The duties and responsibilities of the position include, but are not limited to:Working collaboratively with other members of the team to provide high-level, professional, and scientifically rigorous data management and bioinformatic analyses. Developing and implementing complex analysis pipelines, programming, and data visualization techniques for multi-layered -omics datasets with a particular focus on single cell RNAseq and CyTOF analysis of peripheral and tissue-resident innate and lymphoid immune cell populations. Application of these techniques for more broad analysis of the transcriptome, metabolome, proteome, and epigenome will also be expected. Creatively and effectively integrating data from multiple sources to accelerate discoveries. Thinking independently and creatively to identify and implement best-practice bioinformatic and data management solutions. Creating and disseminating tools for all team members to access relevant clinical and sample data. Collaborating with other team members to co-author abstracts, oral and poster presentations, and scientific manuscripts. Work Location:Remote - this role is eligible to work remotely, but the employee must be in the United States. Why Join Us:The Linda Crnic Institute for Down Syndrome is the largest academic home for Down syndrome research. The Crnic Institute collaborates with prominent scientists and leaders around the globe to enable precision medicine approaches to improve health outcomes in Down syndrome. Learn more at: ****************** cuanschutz. edu/linda-crnic-institute. Why work for the University?We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability, Life, VisionRetirement 401(a) Plan: Employer contributes 10% of your gross pay Paid Time Off: Accruals over the year Vacation Days: 22/year (maximum accrual 352 hours) Sick Days: 15/year (unlimited maximum accrual) Holiday Days: 10/year Tuition Benefit: Employees have access to this benefit on all CU campuses ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage. Equal Employment Opportunity Statement:The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. Qualifications:Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Education: Ph. D. in Immunology, Bioinformatics, Molecular Biology, Computational Biology, or a related field such as Biostatistics. Experience: Three or more years of experience applying bioinformatic tools to next-generation sequencing data (e. g. RNA sequencing, ChIP-seq, microbiome) and/or related omics-level data. Special Skills: Strong programming skills in common languages/packages used for bioinformatic and statistical analysis and (e. g. R/Bioconductor/Tidyverse, Python, Perl). Special Skills: Strong knowledge of statistical principles relevant to biomedical research. Preferred Qualifications The following preferred qualifications will be highly valued in potential candidates:Experience working with complex high-dimensional data sets in the field of immunology, including sc RNA-seq, CITE-seq, CyTOF, spacial transcriptomics, and spectral flow cytometry of immune cells subsets. Extensive knowledge of various immune cell subsets including myeloid cells, innate lymphoid cells, T cell subsets, and tissue-resident lymphoid cells. Special Skills: Strong knowledge of statistical principles relevant to biomedical research. Knowledge, Skills, and AbilitiesTo be successful in this position, candidates will need the following:Competency with UNIX-based command line tools and shell scripting. Experience running and troubleshooting jobs in high performance and/or cloud computing environments. Ability to analyze and solve complex problems and apply quantitative analytical approaches. Familiarity with principles of reproducible data analysis and good coding practice. Proven self-initiative and ability to catalyze new projects or ideas. Exceptional organizational and time management skills, ability to manage multiple projects and analysis requests. Excellent written and verbal communication skills, as evidenced by publications and/or presentations. Experience analyzing and mining clinical data, cancer genomics, and related data sets. Advanced statistical knowledge as applied to bioinformatics / genomics. How to Apply:For full consideration, please submit the following document(s):1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at www. cu. edu/cu-careers. Questions should be directed to: Anne Fiala, anne. fiala@cuanschutz. edu Screening of Applications Begins:Immediately and continues until position is filled. For best consideration, apply by October 20, 2025 Anticipated Pay Range:The starting salary range (or hiring range) for this position has been established as HIRING RANGE:$62,000-$90,000The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: *********** cu. edu/node/153125ADA Statement:The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr. adacoordinator@ucdenver. edu . Background Check Statement:The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Vaccination Statement:CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program. Application Materials Required: Cover Letter, Resume/CV, List of References Job Category: Faculty Primary Location: Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21393 - SOM-Linda Crnic Inst Gen Ops Schedule: Full-time Posting Date: Oct 15, 2025 Unposting Date: Ongoing Posting Contact Name: Anne Fiala Posting Contact Email: anne. fiala@cuanschutz. edu Position Number: 00840858

**University of Colorado Anschutz Medical Campus** **Department: Linda Crnic Institution for Down Syndrome** **Job Title: Research Associate** #:** **- Requisition #:37925** 1. The Human Trisome Project (***************** a large cohort study designed to understand why individuals with Down syndrome have a different clinical risk profile compared to the typical population. 2. Studying the role of immune dysregulation and hyperactive interferon signaling in Down syndrome. 3. Understanding molecular and genomic features of co-occurring conditions in individuals with Down syndrome. + Working collaboratively with other members of the team to provide high-level, professional, and scientifically rigorous data management and bioinformatic analyses. + Developing and implementing complex analysis pipelines, programming, and data visualization techniques for multi-layered -omics datasets with a particular focus on single cell RNAseq and CyTOF analysis of peripheral and tissue-resident innate and lymphoid immune cell populations. Application of these techniques for more broad analysis of the transcriptome, metabolome, proteome, and epigenome will also be expected. + Creatively and effectively integrating data from multiple sources to accelerate discoveries. + Thinking independently and creatively to identify and implement best-practice bioinformatic and data management solutions. + Creating and disseminating tools for all team members to access relevant clinical and sample data. + Collaborating with other team members to co-author abstracts, oral and poster presentations, and scientific manuscripts. **Work Location:** Remote **Why Join Us:** **Why work for the University?** + Medical: Multiple plan options + Dental: Multiple plan options + Additional Insurance: Disability, Life, Vision + Retirement 401(a) Plan: Employer contributes 10% of your gross pay + Paid Time Off: Accruals over the year + Vacation Days: 22/year (maximum accrual 352 hours) + Sick Days: 15/year (unlimited maximum accrual) + Holiday Days: 10/year + Tuition Benefit: Employees have access to this benefit on all CU campuses + ECO Pass: Reduced rate RTD Bus and light rail service **Equal Employment Opportunity Statement:** **Qualifications:** **Minimum Qualifications:** + Education: Ph.D. in Immunology, Bioinformatics, Molecular Biology, Computational Biology, or a related field such as Biostatistics. + Experience: Three or more years of experience applying bioinformatic tools to next-generation sequencing data (e.g. RNA sequencing, ChIP-seq, microbiome) and/or related omics-level data. + Special Skills: Strong programming skills in common languages/packages used for bioinformatic and statistical analysis and (e.g. R/Bioconductor/Tidyverse, Python, Perl). + Special Skills: Strong knowledge of statistical principles relevant to biomedical research. **Preferred Qualifications** **The following preferred qualifications will be highly valued in potential candidates:** + Experience working with complex high-dimensional data sets in the field of immunology, including sc RNA-seq, CITE-seq, CyTOF, spacial transcriptomics, and spectral flow cytometry of immune cells subsets. + Extensive knowledge of various immune cell subsets including myeloid cells, innate lymphoid cells, T cell subsets, and tissue-resident lymphoid cells. + Special Skills: Strong knowledge of statistical principles relevant to biomedical research. **Knowledge, Skills, and Abilities** **To be successful in this position, candidates will need the following:** + Competency with UNIX-based command line tools and shell scripting. + Experience running and troubleshooting jobs in high performance and/or cloud computing environments. + Ability to analyze and solve complex problems and apply quantitative analytical approaches. + Familiarity with principles of reproducible data analysis and good coding practice. + Proven self-initiative and ability to catalyze new projects or ideas. + Exceptional organizational and time management skills, ability to manage multiple projects and analysis requests. + Excellent written and verbal communication skills, as evidenced by publications and/or presentations. + Experience analyzing and mining clinical data, cancer genomics, and related data sets. + Advanced statistical knowledge as applied to bioinformatics / genomics. **How to Apply:** **Screening of Applications Begins:** **Anticipated Pay Range:** **HIRING RANGE:** **ADA Statement:** **Background Check Statement:** **Vaccination Statement:** **Job Category** **Primary Location** **Schedule** **Posting Date** **Unposting Date** **To apply, visit ******************************************************************** (****************************** Copyright 2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency (***************************** Research Associate - 37925 Research Faculty The Linda Crnic Institute for Down Syndrome has an opening for a Bioinformatics Analyst / Data Scientist at the Research Associate level to work at the University of Colorado Anschutz Medical Campus in Aurora.The successful applicant will be an integral member of a collaborative team researching various aspects of Down syndrome using multiple omics-based approaches. Current areas of focus include:This position is responsible for performing rigorous analysis and integration of multiple -omics datasets in collaboration with other scientists on the team. The successful candidate will have extensive computational and analytical skills and a demonstrated ability perform the tasks outlined below.The duties and responsibilities of the position include, but are not limited to: - this role is eligible to work remotely, but the employee must be in the United States. The Linda Crnic Institute for Down Syndrome is the largest academic home for Down syndrome research. The Crnic Institute collaborates with prominent scientists and leaders around the globe to enable precision medicine approaches to improve health outcomes in Down syndrome. Learn more at: ****************************************************** (******************************************************* URL=******************************************************) .We have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:There are many additional perks & programs with the CU Advantage (******************************************************* URL=************************** . The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. Applicants must meet minimum qualifications at the time of hire. For full consideration, please submit the following document(s):1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at ********************* (******************************************************* URL=http://*********************) .Questions should be directed to: Anne Fiala, ************************* (******************************************************* URL=*************************) Immediately and continues until position is filled. For best consideration, apply by October 20, 2025 The starting salary range (or hiring range) for this position has been established as $62,000-$90,000The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.Total Compensation Calculator: ***************************** (******************************************************* URL=*****************************) The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at ****************************** (******************************************************* URL=******************************) . The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases (******************************************************* URL=*********************************************************************************** . If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program (******************************************************* URL=************************************************************************************* . Application Materials Required: Cover Letter, Resume/CV, List of References : Faculty : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21393 - SOM-Linda Crnic Inst Gen Ops : Full-time : Oct 15, 2025 : Ongoing Posting Contact Name: Anne Fiala Posting Contact Email: ************************* (******************************************************* URL=*************************) Position Number: 00840858jeid-8c59ee981c677b4bbea60cbd6a8b9edf The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

We seek a Research Scientist to join and grow with the long-standing right whale research team as part of the Kraus Marine Mammal Conservation Program. This scientist will oversee the North Atlantic Right Whale Consortium (NARWC) Sightings & Effort Database (SED), which contains sightings and effort data for right whales and other marine species collected along the east coast of the US and Canada. They will lead the migration of the SED to NEAq, then oversee all database operations, including facilitating data submission, quality control, storage, and data access. They will undertake database improvement projects as needed. Finally, this scientist will lead independent research projects that advance conservation outcomes for marine species. This is a full-time (35 hours per week) grant-funded position with one year of funding and the possibility for extension. The position offers a comprehensive benefits package. Work will be conducted primarily remotely with occasional in-person meetings. Work hours are flexible with remote meetings occurring between 9 am - 5pm EST Monday - Friday. A laptop will be provided, but an adequate workspace and high-speed internet connection are required, as well as residence in one of the following states: MA, RI, NH, ME, NY, or VT. ESSENTIAL FUNCTIONS Lead the curation of the SED, including: Establish the SED at NEAq Provide community guidelines on best practices for data collection Facilitate data submission Develop and manage new and existing quality control and error checking systems on submitted data Oversee entry of quality-controlled data into the database Serve on the Board of the NARWC as a representative of the SED. Participate in the evaluation of data requests to the NARWC Develop new systems to establish and maintain strong links between the SED, WhaleMap, and the North Atlantic Right Whale Catalog Fulfill approved data requests Satisfy all contractual obligations and reporting requirements in a thorough and timely manner Develop and lead database improvement projects. Develop and lead additional, self-directed research projects. Seek and manage funds to support the NARWC SED program, including: Core funding to support your salary and maintain and improve the SED Additional funding for self-directed research projects Develop and strengthen relationships between NEAq departments to enhance our collective scientific goals and mission. This includes actively integrating with the Anderson Cabot Center and broader NEAq community. Represent NEAq at public events and in the media. Disseminate research activities in various ways, including giving presentations at scientific conferences and leading and contributing to scientific publications. QUALIFICATIONS Minimum Training and Experience Extensive experience in collecting and managing marine mammal data, defined as having a Ph.D. or Master's degree with an additional three years of relevant experience. Record of successful collaboration, fundraising and publishing. Experience with SQL and relational database systems Experience with project management, including budgeting, tracking, and reporting Knowledge, Skills and Abilities Highly collaborative with excellent organizational and communication skills. Extremely detail-oriented, with a passion for achieving the highest standards of database quality, consistency, and efficiency. Expert in marine mammal survey methods and associated data. Proficiency in coding in R, Python or a similar language. Must have a valid driver's license and passport. A genuine interest in, and passion for, the important ocean and marine animal conservation mission of the Aquarium. For more information and to apply online please visit: ********************************** The New England Aquarium is committed to an inclusive workplace culture and is an Equal Employment Opportunity Employer, as defined by the EEOC. Here, we foster a culture of respect and inclusion. We strive to engage and inspire a broad audience with our efforts to protect the blue planet. We believe that an inclusive workforce provides diverse experiences, skills, and perspectives that enrich our programs, strengthen problem-solving, add creativity, and enhance our workplace culture.

We seek to hire a Research Scientist 1 to join and grow with the long-standing right whale research team as part of the Kraus Marine Mammal Conservation Program. Our team has developed a low-cost, open-source, customizable smart acoustic recorder that can be deployed in different configurations to monitor signals and noise levels at sea and in New England Aquarium (NEAq) exhibits. This scientist will continue developing these systems, utilize them to make inferences about the effects of noise on marine species in different environments, and help make them broadly available to the greater research and conservation communities. This is a full-time (35 hours per week) position with a comprehensive benefits package. This is a two-year, grant-funded position with the possibility of extension depending on funding. Work will be conducted primarily remotely with occasional in-person meetings at both our workspace in Portland, ME and NEAq in Boston, MA. Occasional international travel may be required. Typical work hours are flexible with remote meetings occurring between 9 am - 5 pm EST Monday - Friday. A laptop will be provided, but an adequate workspace and high-speed internet connection are required as well as residence in one of the following states: MA, RI, NH, ME, NY, or VT. ESSENTIAL FUNCTIONS * Upgrade the software and hardware in our drifting recorders to facilitate real-time data streaming and localization, and test at-sea performance using a known sound source. * Deploy multiple drifting recorders at sea during North Atlantic right whale surveys and characterize their use for applications such as: real-time whale detection and localization, assessing the impact of vessel noise on whale behavior, combining visual and acoustic survey results to associate calls with specific individuals, characterize calling rates, and explore other aspects of fine-scale acoustic behavior. * Develop and optimize the system for remote and automatic monitoring of noise levels in NEAq exhibits. * Work with NEAq Animal Care specialists to develop a pilot study to quantify the impacts of noise in exhibits of interest. This will include overseeing experimental design (replicates, covariates, etc.), data collection, analysis, and dissemination. * Contribute to funding proposals to expand at-sea data collection and/or noise monitoring within NEAq and other institutions. * Analyze results and publish as peer-reviewed manuscript(s). * Develop and strengthen relationships between NEAq departments to enhance our collective scientific goals and mission. This includes actively integrating with the Anderson Cabot Center and broader NEAq community. * Represent NEAq at public events and in the media. QUALIFICATIONS Minimum Training and Experience * PhD. in marine biology, oceanography, bioacoustics or related field or a MS with 3 additional years of relevant experience is required. * Record of successful collaboration, fundraising and publishing is required. * Experience with ocean acoustics, including acoustic monitoring, instrumentation, and data analysis is required. Knowledge, Skills and Abilities * Highly collaborative with excellent organizational and communication skills. * Skilled in acoustic data analysis, especially in making calibrated noise measurements. * Expertise in observational and statistical approaches to quantifying impacts of noise on animal health preferred. * Experience with building and using acoustic data collection systems preferred. * Proficiency in coding in Python, R or a similar language. * Experience with project management, including budgeting, tracking, and reporting preferred. * A genuine interest in, and passion for, the important ocean and marine animal conservation mission of the Aquarium. For more information and to apply online please visit: ********************************** The New England Aquarium is committed to an inclusive workplace culture and is an Equal Employment Opportunity Employer, as defined by the EEOC. Here, we foster a culture of respect and inclusion. We strive to engage and inspire a broad audience with our efforts to protect the blue planet. We believe that an inclusive workforce provides diverse experiences, skills, and perspectives that enrich our programs, strengthen problem-solving, add creativity, and enhance our workplace culture.

As a member of the Assessment Product team, this Psychometric Research Scientist role will work on assessment products to conduct psychometric and research activities that support student learning outcomes through product development, validation, and improvement. This role will support the development of innovative techniques and processes and conduct cutting-edge research studies. Experience with computer adaptive testing (CAT) is preferred. The candidate will conduct classical item analysis studies, norming studies, create CAT input files and run simulations, run calibration and linking studies, create simulation technical reports, conduct analysis is support of the product technical documentation and other analysis as assigned. **Who we are:** At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing ******************************************. **Job:** Research, Efficacy, and Psychometrics **Job Family:** LEARNING\_&\_CONTENT\_DEVELOPMENT **Organization:** Assessment & Qualifications **Schedule:** FULL\_TIME **Workplace Type:** Remote **Req ID:** 21617 \#location

The Division of Epidemiology, Department of Internal Medicine, at the University of Utah is seeking a highly motivated and detail-oriented Research Development Associate to join our team that supports scientific research conducted at the Salt Lake City Department of Veterans Affairs. The Research Development Associate will be responsible for implementing a large weekly survey to US Veterans as part of a groundbreaking research project. This position offers a unique opportunity to contribute to knowledge on the Post-Acute Sequelae of COVID ( PASC ), also called Long COVID . The weekly surveys will provide self-report information from Veterans on how Long COVID symptoms change over time, what types of medical treatments and self-care they are receiving, and how they are coping with this multi-symptom illness. This is a part-time position in the Division of Epidemiology, Department of Internal Medicine, at the University of Utah School of Medicine. This position will support a study at the Salt Lake City Veterans Affairs Healthcare System. The Research Associate will report to Sara J Knight, PhD, Study Multiple Principal Investigator. Salary and benefits will be commensurate with experience. In this role, the Research Development Associate will work closely with one of the project Multiple Principal Investigators responsible for the survey and interview studies. During onboarding, this position requires training specific to VA research, human research participant compliance activities, and other regulatory requirements. This position will require flexibility in work location with expectation of regular in person team meetings alternating with remote work. We welcome applications from qualified graduate students. To apply, please submit a resume, cover letter, and references. Applications will be reviewed on a rolling basis until the position is filled. Responsibilities Essential Functions 1. Collaborates with the Principal Investigator and Project Team Members to pre-test and refine the survey. 2. Programs the survey platform for delivery to the large panel of Veterans 3. Implements the recruitment and enrollment plan for delivery of recruitment messages and return of consent documents. 4. Manages the automated distribution and collection of surveys to US Veterans on a weekly basis. 5. Monitors survey responses and ensure data quality and integrity and coordinates with the study team to answer Veterans questions about the survey. 6. Collaborates on the analysis of survey data working with study biostatistics team. 7. Collaborates with researchers and other partners such as Veterans and Clinicians to interpret survey results and make recommendations. 8. Collaborates in the preparation of reports, presentations, and publications based on survey findings. 9. Stay current with developments in survey research methodology and best practices. Disclaimer This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Work Environment and Level of Frequency that may be required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead. Minimum Qualifications Bachelor's degree or equivalency (one year of education can be substituted for two years of related work experience). Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

We are looking for a Research Assistant interested in working with a diverse research team. Hours are flexible (up to 20 hours/week). We have some flexibility to work around your school schedule. Our research assistants work as part of a team which includes physicians, PhDs, and graduate students on hypothesis testing research projects. This position is specific for a COVID -19 study. This research project is funded by Novavax. We can teach you any of the necessary skills as long as you are willing and eager to learn. Come to gain hands on experience in hypothesis driven in COVID -19 research in a friendly and challenging environment. This position is considered Category I: Mandatory and required on campus or health care facilities to support on-site operations. Employees hired into this category will be required to be physically located at DFPM if they are healthy and without COVID -19 symptoms. Office Location: 250 S 200 E. Parking fee is covered by the employee. Responsibilities Compiles data from a variety of sources including interviews, questionnaires, literature sources, and medical and genealogical records; screen and enroll study participants; coordinate study visit; assemble specimen kits; collects, ships, and/or stores specimens; follow up with participants; enters information into the department's computer system. Assists PI's, Research Associate's, Post-doctoral fellows, etc. in the preparation of manuscripts and presentation materials by creating slides, charts, graphs and handouts. Maintains up-to-date files and records of research data. Searches sources such as reference works, documents, statistical records, etc. and evaluates applicability of collected data to research subject. May draft correspondence to answer inquiries and respond to requests from outside agencies about specific projects. May edit research papers, project reports, and publication materials; may make arrangements for the printing and graphic art requirements for printed materials. May maintain an internal library on project information resources and data collected. Performs quality control through path audits in order to resolve discrepancies and overlaps with data. Schedules appointments, visits, and meetings. Work Environment and Level of Frequency that may be required Nearly Continuously: Mostly work from home environment; office environment Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead

JOB TITLE Research Scientist DEPARTMENT NAME Electrical & Computer Engineering - NFR JM DIVISION NAME Worcester Polytechnic Institute - WPI Professor Makaroff is seek a Research Scientist to perform data analysis and - source reconstruction for MEG/EEG data from Max Planck Inst. Leipzig Germany and Massachusetts General Hospital (total 10 subjects, different tasks) - using high-resolution boundary element fast multipole method (BEM-FMM). Salary is $20,000. This is a full-time 5 month position. JOB DESCRIPTION FLSA STATUS United States of America (Exempt) WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are building a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Alan Mislove, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. The Culture Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all we do. Working at the EAI offers opportunities, an environment, and a culture that just isn't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Job Summary Northeastern University's Institute for Experiential AI has established a position for a Research Scientist focused on work AI and Life Sciences. The Research Scientist will be based out of the Boston campus, MA, conduct applied research, prepare work for submission to journal/conference publications, contribute to extramural funding applications, and manage projects in connection with projects. This position is a 1-year renewable appointment. The position will be associated with the AI + Life Sciences vertical and will be responsible for Co-developing, collaboratively leading, and participating in research projects related to AI and the life sciences. These will include applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc. Participation in these projects will include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc. In particular, the Research Scientist hired for this position is expected to develop AI algorithms for the directed evolution of proteins with a combination of public and proprietary data, supervise Co-Op hires working on the same project, and collaborate with academic and industry partners of EAI. The Research Scientist will actively collaborate on this with the Computational Biology group led by Predrag Radivojac at Khoury College, Northeastern University, and Ayan Paul, EAI, Northeastern University. General Minimum Qualifications * A Ph.D. in computer science, computational biology, or Bioinformatics by the appointment start date. * A record of outstanding research, as evidenced by publications, grants, software outputs, and other scholarly measures of impact. * Strong demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization. * Must have 3+ experience in bioinformatics and/or biological data formats. * Must have familiarity with protein bioinformatics (understanding of protein structure and function). * Must have 2 - 3 years of progressive experience that demonstrates an ability to plan and conduct research. * Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of various kinds of 'omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.). * Postdoctoral research experience in an academic or industry setting is a bonus. Proposal preparations for sponsored research funding, research experience involving team science projects, and project management experience are highly desired. Additional Values & Abilities: * Ability to establish an independent, extramurally funded research program. * We expect research scientists to establish and advocate for best practices in scientific reproducibility of all results, and to promote the ethical use of data and algorithms. * Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives, government officials, journalists/media, etc. * Comfortable navigating complex internal processes and structures. * Respect for diversity and the importance of interdisciplinary teams. * Entrepreneurial mindset, self-starter, and innovative thinker while at the same time being able to navigate multi-layered channels within a university setting and work across multiple teams/business units. * Team-player who can collaborate effectively in a university setting and with corporate partners. * Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University. Key Responsibilities & Accountabilities * (75%) Co-develop, collaboratively lead and participate in research projects that advance scientific knowledge and solve relevant societal and industrial problems. Participation in these projects will include supervising/mentoring postdoctoral researchers, graduate/ undergraduate students, scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc. * (10%) Secure sufficient and pertinent research funding to supplement finances by preparing research grant applications, delivering grant milestones, and delivering reports and presentations. * (10%) Represent the university in conferences, seminars, and other public events, as well as in media outlets. Perform service for the university and the research community volunteering in different types of committees. * (5%) Other assignments as deemed necessary. Financial Measures Research scientists are expected to progressively obtain extramural research funding to fund their research. Salary support is contingent to availability of grant funding. Supervision Formally none, but they can supervise postdocs and graduate students. Required Documents: Please submit the following documents in a single Word/PDF document along with your application: 1. Cover Letter 2. Resume (Please include contact information of referees for at least three letters of reference) 3. A few samples of your Research Papers/Articles 4. Research Statement. The research statement should not exceed 2 pages. A reference cited section can be appended following the research statement and does not count toward the page limit. Please use 11- or 12-point size and a standard font. Page margins should be 1 inch or greater. Please address the following: a. Describe your research and how it has contributed to your field. b. What future directions do you anticipate for your research? c. What funding have you received and what potential do your future research plans have for funding? Please identify specific funding mechanisms where possible. d. Who are your primary collaborators and what are your experiences with industrial collaborations? Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 111S Expected Hiring Range: $86,490.00 - $122,163.75 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

About the Opportunity Northeastern University seeks a motivated PhD-trained Research Scientist with a background in pharmaceutical sciences to support academic-industrial collaborative projects. The successful candidate will conduct research activities within translational research programs focused on drug discovery, drug delivery, diagnostics, and therapeutic development. The Research Scientist will be responsible for performing research experiments, maintaining laboratory operations, collecting and analyzing data, and contributing to collaborative projects under the directions of senior scientific staff. This position provides excellent opportunity for professional development in pharmaceutical research at the academic-industry interface. Qualifications * Ph.D. in Pharmaceutical Sciences, Chemistry, Chemical or Biomedical Engineering, or a related field * Minimum of 1-2 years of post-graduate experience, including industrial experience. * Foundational knowledge in pharmaceutical sciences and drug delivery systems. Technical competency in one or more of the following areas: * Drug delivery systems (nanoparticles, liposomes, polymeric formulations) * Biopharmaceutics and pharmacokinetics * Biomarker discovery and validation (e.g., micro RNA, proteomics, diagnostics) * Translational animal models of disease * Strong laboratory skills and attentional to detail in experimental procedures. * Great written and oral communication skills. * Ability to work independently as well as collaboratively in multi-disciplinary teams. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 109S Expected Hiring Range: $66,850.00 - $94,427.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

About the Opportunity The Brain Game Center for Mental Fitness and Well-Being, led by Professors Aaron Seitz and Susanne Jaeggi, is seeking a Research Scientist to play a role as a scientist lead and assist in overseeing the lab's operations. Our research focuses on measuring and training cognitive processes. We work with diverse populations, including children, older adults, neurodiverse individuals, and those with perceptual and cognitive needs. Therefore, candidates must demonstrate sensitivity to the unique needs of individuals from different backgrounds including race, culture, gender, socioeconomic status. The ideal candidate will serve in a leadership position that requires strong domain relevant knowledge as well as interpersonal, communication, and staff and project management skills, and must be able to work effectively in both remote and in-person settings. This role involves close collaboration with PIs, the Associate Director, postdocs, graduate students, undergraduate students, programmers, designers, community partners, and national/international collaborators. Experience in team management and staff supervision is essential, as the Research Scientist will play a key role in guiding and supporting lab members, ensuring efficient workflow, and fostering a collaborative and inclusive environment. RESPONSIBILITIES The successful candidate will be responsible for the following: * Overseeing all operations of the lab's research studies, including adherence to IRB protocols, clinical trials, study material and protocol development, management and training of lab members, data collection, and participant recruitment. * Working with the PIs with grant submissions, progress reports, and compliance documentation. * Supporting existing research projects and developing new ones * Assisting with managing a large, multidisciplinary team of researchers and software developers. The Research Scientist will identify opportunities to improve internal lab processes, such as staff workflows and procedural efficiencies, and work with the PIs to implement solutions that enhance productivity and expedite the achievement of project goals. * Overseeing procurement, inventory, and maintenance of lab equipment and office supplies; coordinating activities related to lab and office space; coordinating with financial department and IT on equipment orders and updates as needed. * Providing support to students, clients and collaborators, including developing training materials, and providing consultations on complex procedures. * Gradually forge the way to research independence, moving from full support to a salary funded through a combination of independent and joint grants. * Publish research findings in high-impact peer-reviewed journals, and present research at conferences and workshops QUALIFICATIONS * PhD or another terminal degree in social, biological, information or physical science field by the appointment start date. * Demonstrated track record of scholarly achievement in relevant areas, with commensurate publication and research funding history, appropriate for appointment rank. * Ability to work effectively within interdisciplinary research teams and build relationships with external partners. * Excellent communication skills across diverse audiences and settings. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 109S Expected Hiring Range: $66,850.00 - $94,427.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Under the direction of the Principal Investigator (PI) or designee, the Research Associate III performs a variety of research experiments with independence. This position may provide general operational management to the lab and its personnel. Responsibilities ESSENTIAL FUNCTIONS: Perform complex laboratory experiments and may be responsible for one or more independent research projects Utilize all software relevant to experiment and equipment used Interpret data, form conclusions and decide on next steps with a significant degree of independence while under the direction of the PI or designee Maintain accurate records, may modify protocols with the approval of the PI or designee Review literature, publications and grants relevant to assigned projects Record results according to established lab, sponsor & university protocol Perform in-depth data analysis and/or mathematical computations Maintain a detailed lab notebook according to lab practice Compile and analyze data, and present in a format suitable for publication according to PI specifications Present findings at lab/group meetings and other forums May oversee laboratory supply levels and order as noted; negotiate with suppliers to optimize available resources Monitor laboratory equipment service contracts and monitor maintenance on laboratory equipment Prepare and label buffers, media, solutions, etc. Assist with and comply with all safety regulation and infection control standards Train on IACUC, IRB, EHS, Radiation safety protocols; may write standard operation procedures in compliance to protocols and specific regulations for the lab Comply with all applicable state, federal university, and sponsor policies and agreements May manage general operations of the laboratory, including lab personnel, procedures and projects Identify problems and challenges, propose resolutions, implement appropriate solutions May create new protocols and/or modify defined protocols, as necessary, and with the approval of the PI Prioritize and perform several tasks or procedures simultaneously with attention to detail Perform duties and experiments with independence Provide training of new lab personnel May monitor laboratory spending in accordance with budgets guidelines provided by PI or designee May assist with budget and/or operational aspects of grant and contract funding May assist with drafting manuscripts sections Perform other duties as required Qualifications REQUIRED QUALIFICATIONS: Bachelor's degree in Biological or Natural Science and 3+ years of relevant research experience or a related Master's degree with 1 year of relevant research experience. Knowledge of Microsoft Office products Strong ability to analyze complex visual data in a quantitative and objective manner Ability to work in a team environment