Senior Scientist jobs at University of Massachusetts Medical School - 41 jobs

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.

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. 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. 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). 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.

Overview *Ideal experience includes R&D, Food Safety, or Quality; however, we are also open to candidates with backgrounds in Supply Chain, Operations, or Engineering.* The PFNA R&D Operational Excellence Specification Team oversees a connected digital ecosystem that drives change and enables resource-efficient innovation cycles and end to end traceability to deliver consumer-centric insights for critical business decisions. The R&D Associate Principal Scientist will lead ingredient specification operations across Quaker and Frito-Lay in both the U.S. and Canada, upholding Pepsico global ingredient standards while seamlessly integrating R&D business processes. This role will provide exposure and hands on experience delivering end-to-end specification management as part of commercialization execution. This role applies strong food science principles and collaborates effectively with cross-functional partners-including Procurement, Supply Chain, Food Safety, Regulatory, external suppliers, and product developers-to build clear, timebound plans for ingredient specification programs. The role also manages dynamic, fast-paced timelines and deliverables by prioritizing tasks and coordinating closely with the MCC specification writing team. The ideal candidate will possess a strong understanding of business processes, technical knowledge, and project management skills to develop, maintain, and track project workplans and timelines throughout specification lifecycle. Responsibilities Lead the PFNA ingredient specification process across Innovation, Productivity, Brand Stewardship, and portfolio transformation initiatives by developing strategic workstreams, defining resource requirements, and driving cross-functional alignment. Build and sustain strong cross-functional partnerships across R&D and non-R&D teams-including Procurement, Co-Manufacturing, Quality, SRA, and Legal-while maintaining direct engagement with ingredient suppliers and technical R&D disciplines. Collaborate closely with Food Safety, Quality, Regulatory, and subject matter experts to proactively assess, manage, and mitigate ingredient-related risks. Develop and support other junior members in the group to issue management and resolution, partner closely with MCC ingredient specification team to ensure consistency and efficiency in specification updates and Global standards compliance and understanding appropriate escalation channels. Demonstrate problem-solving mindset to ensure business continuity. Interpret and analyze data to deliver sound technical recommendations on ingredient specifications. Proactively identify and address gaps in system, process, ways of working and clearly communicating their implications for the business. Coordinate and deliver training sessions for product developers and cross-functional partners to ensure clear understanding and consistent application of the specification process. Lead and prioritize the activities of Ingredient Subject Matter Expert (SME) reviewers, ensuring timely and accurate specification reviews aligned with project needs. Assist in managing the Opex Spec Team's budget, with a focus on tracking and optimizing spend related to external contractor support. Specification Review & Approval. Conduct final reviews and approvals of specifications by validating data quality and compliance with Global Ingredient standards. Compensation and Benefits: The expected compensation range for this position is between $89,000 - $149,000. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Education/Certifications: BS/MS/PhD Degree in Food Science or Food Engineering or related field BS with 5+ years', MS with 3-4+ years', or PhD with 2-3+ years' experience in R&D or manufacturing/production environment in foods industry Experience in product or process development /commercialization/optimization and/or productivity. Demonstrated capability to effectively manage complex or multiple projects simultaneously. Ability to embrace change and flexibility to prioritize balancing sense of urgency with the need to deliver quality results. Critical thinker with demonstrated understanding of how to incorporate business needs into technical decisions. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Collaborative team player with strong leadership interpersonal skills and proven ability to work with cross-functional teams. Ability to work effectively in a matrix team structure, remote teams and working from home partners. Good communication skills - Able to simplify complexity and communicating in a clear and concise manner. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Project management skills: Systems management, KPI tracking, communication with cross functional partners. This position is limited to persons with indefinite right to work in the United States EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement Education/Certifications: BS/MS/PhD Degree in Food Science or Food Engineering or related field BS with 5+ years', MS with 3-4+ years', or PhD with 2-3+ years' experience in R&D or manufacturing/production environment in foods industry Experience in product or process development /commercialization/optimization and/or productivity. Demonstrated capability to effectively manage complex or multiple projects simultaneously. Ability to embrace change and flexibility to prioritize balancing sense of urgency with the need to deliver quality results. Critical thinker with demonstrated understanding of how to incorporate business needs into technical decisions. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Collaborative team player with strong leadership interpersonal skills and proven ability to work with cross-functional teams. Ability to work effectively in a matrix team structure, remote teams and working from home partners. Good communication skills - Able to simplify complexity and communicating in a clear and concise manner. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Project management skills: Systems management, KPI tracking, communication with cross functional partners. This position is limited to persons with indefinite right to work in the United States Lead the PFNA ingredient specification process across Innovation, Productivity, Brand Stewardship, and portfolio transformation initiatives by developing strategic workstreams, defining resource requirements, and driving cross-functional alignment. Build and sustain strong cross-functional partnerships across R&D and non-R&D teams-including Procurement, Co-Manufacturing, Quality, SRA, and Legal-while maintaining direct engagement with ingredient suppliers and technical R&D disciplines. Collaborate closely with Food Safety, Quality, Regulatory, and subject matter experts to proactively assess, manage, and mitigate ingredient-related risks. Develop and support other junior members in the group to issue management and resolution, partner closely with MCC ingredient specification team to ensure consistency and efficiency in specification updates and Global standards compliance and understanding appropriate escalation channels. Demonstrate problem-solving mindset to ensure business continuity. Interpret and analyze data to deliver sound technical recommendations on ingredient specifications. Proactively identify and address gaps in system, process, ways of working and clearly communicating their implications for the business. Coordinate and deliver training sessions for product developers and cross-functional partners to ensure clear understanding and consistent application of the specification process. Lead and prioritize the activities of Ingredient Subject Matter Expert (SME) reviewers, ensuring timely and accurate specification reviews aligned with project needs. Assist in managing the Opex Spec Team's budget, with a focus on tracking and optimizing spend related to external contractor support. Specification Review & Approval. Conduct final reviews and approvals of specifications by validating data quality and compliance with Global Ingredient standards. Compensation and Benefits: The expected compensation range for this position is between $89,000 - $149,000. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

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.

in disease ecology at Purdue University Description Applications are invited for a full-time postdoctoral position in the laboratory of Dr. Catherine Searle, Department of Biological Sciences, Purdue University: ************************************** This is a 12-month appointment that begins as soon as possible. In person is preferred, but remote work can be accommodated. Projects will involve quantifying host competence and characterizing biodiversity-disease relationships with a focus on how these variables change seasonally. This work primarily involves amphibians infected with the fungal pathogen, Batrachochytrium dendrobatidis, but work on a Daphnia-fungus system or other systems is possible. Project specifics will depend on the candidate's expertise and interest. Compensation $50,000-$60,000, commensurate with experience Application Please apply by emailing the following to Dr. Catherine Searle (******************) with "Postdoctoral position application" in the subject: 1) A resume or CV 2) A document or email that describes a. A brief (~1 paragraph) description of previous research experience b. Explanation of why you are interested in this position c. Details on when you could start and whether you would like to be in person or remote d. A list of 2-3 references (will only be contacted after initial screening) Education Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Experience Qualifications Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Preferred: * Expertise in disease ecology, aquatic host-pathogen systems, analyses of infectious disease data, community ecology * Strong quantitative and writing skills * Ability to work independently and collaboratively * Enthusiasm and interest in disease ecology * Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote work) FLSA Status Exempt Apply now Posting Start Date: 12/12/25

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: ********************************************************************************

**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-c6324aab73a9d74a9a63cee519603b78 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.

University of Colorado Anschutz Medical Campus Department\: Linda Crnic Institution for Down Syndrome Job Title\: Research Associate #: - Requisition #\:37925 Job 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 (***************** 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\: https\://medschool.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, 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 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 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: 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 position 2. Curriculum vitae / Resume 3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at ********************** Questions should be directed to\: Anne Fiala, ************************* 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-$90,000 The 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\: http\://********************** ADA 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 ****************************** . 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.

The Division of Science is looking to hire an Associate Research Scientist to help with the strategic expansion of Ragunathan Lab's research capabilities. Job Responsibilities - * Administers major projects related to developing a CRISPR screening pipeline in mammalian cells - 60% * Contribute to ongoing projects in S.pombe through intellectual or technical contributions - 10% * Contribute to grants and manuscripts through critical feedback or experiments - 10% * Assist with specifically assigned lab management tasks - 10% * Mentor or train graduate students as needed -10% This is a one-year position. The maximum budget for the position is $82,000 Requirements: * PhD in Biology or other related disciplines required. * 1-3 years of relevant experience required. * Experience working with other lab members to effectively drive projects and manuscripts forward to help build the overall scientific strengths and interests of the lab. * Must have prior experience working with model systems and questions that this lab is interested in to be able to effectively contribute to the requirements for this position. Pay Range Disclosure The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

OFFICIAL JOB TITLE: Institutional Research Associate DIVISION: Academic Affairs DEPARTMENT: Institutional Research and Assessment BARGAINING UNIT STATUS: ESU, Cat 12 REPORTS TO: Director of Institutional Research and Assessment SUPERVISES: N/A SUMMARY PURPOSE OF POSITION: Supports institutional research functions in data extraction, interpretation, and presentation and helps implement a variety of data inquiries and information collection activities; extracts data from complex files and systems including the campus enterprise system (across its functional areas including students, human resources, finances, and other system areas) and Institutional Research and UMass databases; translates extracted data into other data structures for specific reports (such as the HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education); applies expertise in data interpretation ensuring consistent and auditable results and interacts with campus staff and representatives of external organizations to validate existing data, obtain new data, and support information and data needs; reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys or other external data reports that can be at the federal or state levels. EXAMPLES OF PRIMARY DUTIES AND RESPONSIBILITIES: * Extracts data from complex files and systems including the campus enterprise system and creates and maintains SPSS databases and dictionaries. * Translates extracted data into other data structures for specific reports, such as those for the comprehensive HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education. * Applies expertise in data interpretation using the enterprise information system (PeopleSoft) and IR/UMass databases, ensuring consistent and auditable results across the functional areas of the enterprise system (including students, human resources, finances, and other system areas). Interpretation includes accurate application of data definitions/look-up tables and the application of subtotals, percentages, averages, percentiles, and similar functions. * Interacts with campus staff and representatives of external organizations to validate existing data and obtain new data and supports information and data needs for other campus units as assigned. * Reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys, especially for college handbooks and the Common Data Set, and for other external data reports that can be at the federal or state levels. * Performs other related duties as assigned. MINIMUM QUALIFICATIONS: * EDUCATION: Bachelor's Degree in a related field * EXPERIENCE: Demonstrated (over 3 years) experience in the general field of programming, data extraction, and reporting. * OTHER: May need to be available for evening/weekend hours as needed; some travel to off-campus locations may occur PREFERRED QUALIFICATIONS: * Experience in a college/university or other institutional setting performing management reporting and analysis * Experience in a higher education setting * Experience with enterprise system reporting and analysis * Experience in using the PeopleSoft enterprise information system and the OBIEE inquiry tool * Experience working in a data warehouse environment KNOWLEDGE, SKILLS AND ABILITIES REQUIRED: * Ability to learn data values and interrelationships in a comprehensive enterprise information system and apply them in a range of specific contexts and reports. * Demonstrated database and reporting skills including SQL queries, OBIEE or related reporting tool, and SPSS and/or Excel to perform analyses and general reports. * Ability to provide professional-level accuracy and precision of interpretation of complex sets of data. * Able to manage multiple competing priories and projects * Knowledge of basic statistical applications. SALARY: $52,756.00 to $65,945.20 UMass Dartmouth offers exciting benefits such as: * 75% Employer-Paid Health Insurance * Flexible Spending Accounts * Life Insurance * Long Term Disability * State Pension Retirement Plan * Optional Retirement Savings Plans * Tuition Credit (Employee, Spouse, & Dependents) * Twelve (12) paid holidays * Paid personal, vacation, and sick time * And More! Benefits for ESU Union: ESU Applicants must be authorized for employment in the U.S. on a full-time basis. Employment-based visa sponsorship is not available. To apply please submit a letter of interest, a current resume and the contact information for three professional references. The posting deadline for early consideration for internal ESU applicants is January 30, 2026. The review of applications will be ongoing until the position is filled. Advertised: 16 Jan 2026 Eastern Standard Time

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

We are looking for a Research Assistant interested in working with a diverse research team. 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 the Rocky Mountain Center for Occupational and Environmental Health if they are healthy and without COVID -19 symptoms. Office Location: 250 S 200 E Salt Lake City, UT This job is expected to end 12/31/2024 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 Pls, Research Associates, 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 no: R-0000002982 Research Associate for Binder grant Faculty or Staff: Staff Full Time or Part Time: Full time In-Person, Hybrid, or Remote: In-Person Minimum Starting Rate of Pay: $23.07 Rate of pay commensurate with experience : Research Associate The Binder Cognition Lab seeks a Research Associate to work on an NIH R15-funded project examining literacy profiles of adults with low literacy skills. The position involves close collaboration with the Principal Investigator and plays a key role in project administration, community coordination, and supervision of undergraduate research assistants. This role is ideal for recent graduates planning to pursue graduate study in cognitive or developmental psychology or related fields. Essential Responsibilities * Maintain accurate and confidential participant records, consent forms, and databases * Administer screening measures to adult participants * Coordinate data collection and scheduling at community partner sites * Communicate professionally with community partners * Assist with grant budgets, reports, and applications * Train, supervise, and mentor undergraduate research assistants * Ensure adherence to research protocols and ethical standards * Support data analysis and research dissemination (posters and manuscripts) Required Qualifications * Strong communication and organizational skills * Ability to supervise and provide feedback to undergraduate students Preferred Qualifications * Interest in graduate study in cognitive psychology, developmental psychology, or a related field * Interest in grant writing, assessment, data analysis, and research dissemination Additional Information The Research Associate will play a central role in mentoring undergraduates and supporting community-engaged research within the Binder Cognition Lab. Note: This position is funded by a three-year grant that concludes on May 31, 2029. Continuation of funding is likely, which may allow for an extension of the position. Hire rate: $23.07 Full Job Description Background Checks: Mount Holyoke College is committed to providing a safe and secure environment, supported by qualified employees that will allow all of its students, faculty, staff and those associated with them to successfully carry out the mission of the college. As a condition of employment, the College will conduct appropriate background checks for all new hires. Mount Holyoke has designated the Office of Human Resources as the office responsible for ensuring that background checks (CORI, SORI, Credit History, & Driver Credential) are completed and utilized in the hiring process and Five College Office of Compliance and Risk Management as the office responsible for facilitating background checks as articulated in this policy. Special Instructions for Applicants: Apply online; application materials must include: * A cover letter summarizing interests and qualifications * A complete resume or curriculum vitae * For faculty positions, statements on mentoring, teaching, and research will also be required. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

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 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 provides operational support to the laboratory. The Research Associate will perform research experiments as defined by the PI. This is an open-rank posting (there are 4 levels of Research Associate) - candidates will be hired into the level commensurate with their experience. Responsibilities ESSENTIAL FUNCTIONS: Research Associate I: Perform laboratory experiments and may be responsible for a single research project. Utilize all software relevant to experiment and equipment used. Interpret data, form conclusions and decide on next steps 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 Assist with performing data analysis and/or mathematical computations. Maintain a detailed lab notebook according to lab practice. Present findings at lab/group meetings Monitor laboratory supply levels and order as noted. 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 Comply with all applicable state, federal university, and sponsor policies and agreements. Provide support with identifying problems and challenges, propose resolutions, implement appropriate solutions. Provide support with drafting standard operation procedures in compliance to EHS regulation specific for the lab. Perform other duties as required. Research Associate II: Duties noted above plus: May assist with the training of new lab personnel. Provide support with drafting standard operation procedures in compliance to EHS regulation specific for the lab. May assist with drafting manuscript sessions. Research Associate III: Duties noted above plus: Perform complex laboratory experiments and may be responsible for one or more independent research projects. Perform in-depth data analysis and/or mathematical computations. Compile and analyze data and present it in a format suitable for publication according to PI specifications. May oversee laboratory supply levels and order as needed; negotiate with suppliers to optimize available resources. Monitor laboratory equipment service contracts and monitor maintenance on laboratory equipment. May manage general operations of the laboratory, including lab personnel, procedures, and projects. 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 budget guidelines provided by PI or designee. May assist with budget and/or operational aspects of grant and contract funding. Research Associate IV: Duties noted above plus: This position will contribute significantly to the management of the research program and will be involved in multiple aspects of the research projects and lab maintenance activities. Independently design and perform multiple complex laboratory experiments. Interpret data, form conclusions, and decide on next steps with a high degree of independence. Maintain laboratory supply levels and order as noted. Manage laboratory equipment service contracts and coordinate maintenance on laboratory equipment. Monitor and enforce all safety regulations and infection control standards. Identify and write standard operation procedures in compliance to EHS regulation specific for the lab Train on IACUC, EHS, Radiation safety protocols Manage daily operations of the laboratory, including lab personnel, procedures, and projects. Identify problems and challenges, propose resolutions, implement appropriate solutions. Develop and implement new protocols and/or modify defined protocols, as necessary, and with the approval of the PI Mentor and train lab personnel on proper lab conduct and techniques. Manage laboratory spending in accordance with budget guidelines provided by PI or designee. Assist with budget and/or operational aspects of grant and contract proposals. Negotiate with vendors to optimize available resources. Contribute independently to writing sections for manuscripts and grants. Direct the activities of research support staff. Perform other duties as required. Qualifications REQUIRED QUALIFICATIONS: Research Associate I Bachelor's degree in Biological or Natural Science, or equivalent experience Basic understanding of lab safety and protocols Knowledge of Microsoft Office products Ability to analyze data in a quantitative and objective manner. Ability to work in a team environment. Research Associate II Requirements noted for RA I plus: 18 months of relevant research experience with a Bachelor's Degree in Biological or Natural Science or 0 years with a related Master's Degree. Research Associate III Requirements noted for RA I plus: 3+ years of relevant research experience with a Bachelor's Degree in Biological or Natural Science or 1 year relevant research experience with a related Master's Degree Research Associate IV Requirements noted for RA I plus: 5+ years of relevant research experience with a Bachelor's Degree in Biological or Natural Science or 3+ years relevant research experience with a related Master's degree. Additional Information Research Associate Position- Wolfe Laboratory UMass Medical School Lab information *********************************** Additional Information: The focus of the Wolfe Laboratory is the development of genome editing tools, such as base editors and prime editors, to employ as new classes of therapeutics. The successful candidate would be a part of an interdisciplinary team of laboratory scientists, clinicians, and computational biologists that are working on therapeutics for a variety of neurological and neuromuscular disorders, as well as cancer. We are looking for a candidate that would be a key player in developing and characterizing novel genome editing systems that could serve as new therapeutics - with these reagents potentially being used in clinical trials. Experience Required: Basic molecular biology techniques (PCR, cloning, gel electrophoresis, plasmid purification). Mammalian Cell culture experience. Experience Desired (not required): Genome editing Illumina Sequencing library preparation Experience using mouse disease models Major Responsibilities (in addition to the standard set): Participate in the development and characterization of genome editing systems tailored to correct gene mutations common in certain patient populations or kill cancer cells. Participate in the application of these genome editing systems in relevant mouse disease models. Organize ordering and stocking of supplies and reagents for the laboratory.