Scientist jobs in Brattleboro, VT - 4,146 jobs

A biotechnology company in Waltham, MA is seeking a Principal Scientist in ADME-PK to enhance drug delivery to muscle and CNS tissues. The successful candidate will design preclinical studies, author regulatory documents, and collaborate across various teams. Candidates should possess a PhD in a relevant field and over 6 years of industry experience, with expertise in pharmacokinetics and drug metabolism. This role offers a competitive salary in the range of $159,000 to $195,000 USD depending on experience. #J-18808-Ljbffr

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs), Computer Vision technologies for our cloud, devices and robotics. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data. What You'll Do Location: Hybrid in Seattle OR Remotely from the US Reports to: Senior Manager, Research Science Own one or more key technical areas across CVML product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful CVML product feature. Research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of visual data. Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of MLLM models using real-world datasets and design experiments to validate their effectiveness. Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence. Proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline. Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem-solving skills, analytical thinking, and the ability to work autonomously as well as collaboratively in a team environment. Well-developed communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 181,000 in the lowest geographic market and USD 266,000 in the highest geographic market.The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit ****************************** Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the . If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please ***************************. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. #J-18808-Ljbffr

Qubit Pharmaceuticals is a French-American deeptech startup, focusing on discovering novel molecules for complex targets in healthcare and materials science. We leverage proprietary molecular simulation and quantum-physics based modeling technology to develop our own discovery programs that we either co-develop with or license out to pharmaceutical and industrial partners. This enables us to design more effective and safer drug candidates, aiming to significantly reduce the time and investment needed for discovery. In just 18 months, Qubit Pharmaceuticals grew its portfolio to 7 programs in oncology, immunology & antivirals. Our cutting-edge technology is based on over 30 years of research by our academic founders, and relies on three main components: in-depth expertise in computational science and high-performance computing (HPC), quantum chemistry and artificial intelligence algorithms, and a powerful, automated cloud platform for molecular simulation with chemical accuracy. We recently announced the launch of the world's most powerful AI foundation model for molecular simulation. Qubit Pharmaceuticals is looking for an Senior Machine Learning and Quantum Chemistry Scientist to lead the development of foundation models for chemistry. The perfect fit for this job At Qubit Pharmaceuticals, we are looking for a Senior Machine Learning and Quantum Chemistry Scientist who is quick at adapting to new challenges and issues. This person will be eager to learn, meet the needs of users, and work in a collaborative process with teammates and across multiple teams. Your role As a member of the Research team, you will be responsible for the Quantum Chemistry Foundation Model development, including molecules quantum datasets selection, model training, coding, testing and validation. Develop new methods to solve practical and challenging problems in Machine Learning and Quantum Chemistry applied to chemistry & drug discovery Communicate the results of your research by filing patent applications, publishing peer-reviewed papers and giving presentations at research conferences Provide technical support to users Your qualifications and skills Master degree or equivalent in Applied Maths / Computer Science / Chemistry PhD in Quantum Chemistry and Machine learning is strongly preferred Minimum of 5 years work experience (including PhD) is required Knowledge of quantum chemistry is strongly preferred Proficiency in active learning, architecture, and training methods, related to Machine Learning Force Field, Machine Learning Interaction Potentials, Neural Networks Potentials Ability to motivate and lead a project team Excellent communication skills for explaining complex concepts to non-specialists Agility in a startup environment (changing priorities, multiple projects) Open-source code development and maintenance is valuable The proposal benefits & perks Duration: Full time - Permanent Starting from October 2025 Salary according to profile Health insurance and provident fund 100% covered Lunch vouchers worth €9 covered at 50%. Location: Paris 14th arrondissement / Boston Possibility of remote work for 2 days per week. #J-18808-Ljbffr

Qualifications Bachelor's degree or higher in a relevant discipline with at least 3 years of applicable bioprocess experience. Experience with process purification of biomolecules (mAbs, vaccines, etc…) from harvest to drug substance Familiarly working in GxP cross matrix organizations Lab-scale purification process development and troubleshooting experience with standard downstream equipment (e.g. AKTAs, Repligen TFF, etc…) Direct hands on experience and knowledge of templated processes such as mAbs, pDNA, mRNA etc. Proficient expereine with data analysis tools such as Minitab, JMP, KNIME etc. Working knowledge of PAT applications development and implementation from bench scale to pilot (FlowVPE, IVI Raman etc…) Experience with HTS instrumentation for protein purification and process development. Working knowledge of GxP/ICH/Quality compliance systems of the biopharmaceutical industry Job Description We are looking for a Downstream Scientist to support our pharmaceutical client in Andover, MA. This person will lead, develop, and qualify purification techniques for biologics at both pilot and bench scale. This role involves hands-on execution of purification processes using a variety of unit operations including precipitation, depth filtration, tangential flow filtration (TFF), and chromatography. The scientist will support technology transfer, process troubleshooting, and continuous improvement initiatives. Key Responsibilities: Lead and execute purification processing using precipitation, depth filtration, TFF, and chromatography. Develop and characterize purification processes for monoclonal antibody (mAb) programs, including second-generation process development. Independently plan, design, and execute downstream experiments to support technology transfer of mAb programs. Operate and maintain downstream equipment such as AKTAs and Repligen TFF systems, and analytical tools including SoloVPE, Stunner, and Raman spectroscopy. Analyze data, prepare technical reports, and present findings to internal teams. Support manufacturing investigations and troubleshoot purification processes. Drive continuous improvement initiatives including 5S, TPM, and operational excellence. Plan and execute critical material production campaigns independently. Collaborate cross-functionally with project teams to ensure alignment and effective communication. - Familiarity with mRNA Lipid nano particle formulation and Final Drug Product (FDP) processes

Applied Physical Sciences (APS) is looking for a highly motivated Physical Scientist to join the Concord, MA team in a part-time, on-call (PTOC) position. Successful candidates will have a PhD in theoretical physics, expertise in inverse theory or tomography, and will support the development of state-of-the-art technologies for tomographic imaging with irregular experiment apertures, with a special emphasis on exploitation of high energy X-rays. APS works on exciting, technically challenging, cutting-edge technologies that will expose candidates to a wide variety of multidisciplinary fields, providing a stimulating environment with considerable opportunity for collegial interaction. At APS you will work in a small company environment where technical excellence is rewarded and an entrepreneurial spirit is encouraged, and you will have the chance to work directly with colleagues and customers that value innovation and creativity. Responsibilities Theoretical modeling of x-ray interaction physics, development of X-ray inversion paradigms for highly challenging experiment scenarios, rigorous characterization of the fundamental information limits of X-ray imaging. Software implementation of processing and modeling techniques, numerical execution of synthetic inversion experiments, display and quantification of model uncertainty Required Attributes and Skills PhD in theoretical physics, and expertise in modeling and inversion of X-ray data Subject matter expertise in one or more of the following: advanced numerical optimization, statistical methods, experiment design optimization, GPU-based computing Extensive experience with computational methods and programming for modeling physical phenomena and processing of real data e.g., Matlab, Python, PyTorch, or Fortran Exceptional communication skills (written and oral) for technical documentation and reviews with customers Desired Attributes and Skills Professional experience of 10+ years in DoD or related industry, a strong publication history in refereed technical journals, and a track record of successful performance on research programs under DARPA, IARPA, NAVSEA or ONR sponsorship is preferred. Experience as principal investigator working on advanced R&D programs Demonstrated technical leadership in modeling and simulation Expertise in one or more of the following: mathematical physics, model-based iterative methods for x-ray tomography, Monte Carlo radiative transport methods for Bremsstrahlung modeling, advanced numerical optimization techniques involving both continuous and discrete variables, regularization methods, uncertainty quantification using the Fisher Information Matrix and the Cramer-Rao Bound, and multi-objective optimization. Experience presenting talks at technical conferences APS, a wholly owned subsidiary of the General Dynamics Corporation, offers a small company environment including competitive salary, excellent benefits, and comfortable working conditions. This is a part-time on-call position open in the Concord, MA office. Candidates must possess or be able to obtain a Top Secret DOD security clearance. Qualified applicants are invited to submit a resume and application online at **************** fax them to ************, Attn: Human Resources, or mail to the company address. Please reference the requisition number and title of the position in the subject line of your submission. Equal Opportunity Employer/M/F/Disability/Protected Vet Invitation to Self-Identify In keeping with our commitment to Equal Employment Opportunity (EEO), Applied Physical Sciences invites all applicants to self-identify pre-offer as a protected veteran and/or an individual with a disability. Invitation to Self-Identify as Protected Veteran Online Form Invitation to Voluntary Self-Identification of Disability Online Form #J-18808-Ljbffr

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads-automating sourcing, pricing, contracting, delivery, and measurement with AI-so work that took months now happens in minutes. We're on a mission to transform a $600B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work-finally being paid in proportion to the value they create. That shift is accelerating: Unilever's CEO has said the company will move roughly half of its ad budget into social and creators-Unilever is among the world's largest advertisers, spending around $9-10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio's investors include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes' list of Next Billion Dollar Startups, 2025. We've raised $16M to date, our product is already used and loved by the world's leading marketers and creators- and we're just getting started. Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step-from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We're expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you'll have an immediate impact-shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions-what we build, how we price, and where we scale-so creators and brands win together. If you're curious, collaborative, and excited to own outcomes in a fast-moving environment, let's talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you've likely ever worked before - with far greater reward A positive, honest, empathetic, and curious teammate What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO - Take the time you need to recharge Comprehensive Health Coverage - Top medical plan through Aetna Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan - Invest in your future while you build your career $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! - We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! - Your workout, right downstairs The estimated base compensation for this role is between $130,000 & $ 225,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits. #J-18808-Ljbffr

A leading crypto platform is looking for a Principal Data Scientist to enhance customer experience from onboarding to product adoption. In this role, you will work cross-functionally to design and implement models that support growth. Your impact will be felt across major teams as you mentor others and lead innovative projects in data science and machine learning. The role requires in-person collaboration at the San Francisco or NYC office twice weekly, offering a competitive salary and flexible work arrangements. #J-18808-Ljbffr

Discover Veranova: At Veranova, we believe people are our most important asset, and we are dedicated to building the most talented workforce in our industry. Our commitment to uncompromising focus on quality, compliance, safety, and excellence in delivery shapes everything we do. We are not just looking for skills; we are seeking innovative individuals who have a mindset open to learning and growth, and a desire to make a difference. Veranova is a global leader in the development and manufacturing of complex active pharmaceutical ingredients (APIs) for pharma and biotech customers. With deep technical expertise and impressive flexibility, we develop solutions and processes that support and accelerate innovation. Join us on our mission to enable current and next-generation therapeutics to improve and save the lives of patients. Role Overview: The Scientist role within the Chemical Development group will focus on the synthesis, process development, and analytical strategy for protected phosphoramidite precursors used in therapeutic oligonucleotide API manufacturing. This position is key to building Veranova's commercial capability in producing high-quality oligonucleotide building blocks. The ideal candidate will have strong expertise in phosphoramidite chemistry, including impurity profiling and customer-specific requirements. This role will also collaborate closely with the Analytical Team to establish robust characterization and control strategies that ensure exceptional product quality. Core Responsibilities: Develop and optimize synthetic routes for protected Phosphoramidite subunits used in therapeutic oligonucleotide API synthesis. Identify and mitigate side reactions commonly associated with Phosphoramidite chemistry. Define and implement specifications aligned with customer expectations for commercial-grade oligonucleotide precursors. Provide expert guidance to the Analytical Team on the selection and application of appropriate analytical methods for product and impurity characterization, based on prior experience and industry standards. Collaborate with cross-functional teams including Analytical Development, Quality, and Manufacturing to ensure successful scale-up and tech transfer. Prepare technical documentation including batch records, specifications, and development reports in accordance with SOPs and cGMP guidelines. Present scientific findings and project updates to internal stakeholders and external customers. Support the establishment of quality and regulatory standards for commercial production of oligonucleotide precursors. Contribute to project planning, budgeting, and timeline management for precursor development programs. Other duties as assigned . Qualifications: Required BS in Organic Chemistry or equivalent with 3-5 years related experience in a pharmaceutical industry, or MS in Organic Chemistry or equivalent with 0-2 years related experience in the pharmaceutical industry. Ability to read, analyze, and interpret English-language chemical periodicals, scientific journals, and regulatory documents. Experience with organic synthesis and process development Experience with common analytical techniques such as HPLC, GC, NMR, UV, and LC-MS. Experience in establishing integrated plans with defined resources and tasks. Ability to write clear and concise technical reports. Good understanding of Microsoft Office and statistical software. Demonstrate ability to exercise good judgment and make decisions quickly. Good written and verbal communication skills. Ability to work independently and in a team environment. Salary Range : $110,000 - $120,000 annual base salary Our Commitment: Health & Wellness: Comprehensive health & wellness benefits. Access to mental health resources and wellness programs. Generous PTO and holiday pay policies. Financial Wellness: Veranova is committed to fair and transparent compensation practices. This includes a competitive base salary, eligibility for performance-based bonuses, and an attractive 401(k) Plan with company match. Salary ranges reflect the scope and expectations of the role, and are based on market data, internal equity, and role-specific factors. Final compensation may vary depending on experience, skills, education, and business needs. Professional Development: Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. Tuition Assistance for Undergraduate and Graduate degree programs. Inclusive Culture: At Veranova, an inclusive culture is integral to our values. We welcome people with diverse experiences and perspectives who share our mission to improve and save lives. Even if you don't meet every qualification, we encourage you to apply. Veterans, first responders, and those transitioning from military to civilian life bring valuable skills that strengthen our team. Additional Information: Applicants for this role must be authorized to work in the United States without further employer sponsorship. Agency and Search Firm Representatives: Veranova does not accept unsolicited resumes from agencies and/or search firms for this job posting. All your information will be kept confidential according to EEO guidelines. Veranova is an Equal Opportunity Employer. It is the policy of Veranova to provide equal employment access and opportunity to all persons regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity and/or expression, physical or mental disability, genetic information, citizenship, marital status, veteran status, or any other characteristic protected by federal, state, or local law. All applications are carefully considered, and your details will be stored on our secure Application Management System. This is used throughout Veranova for the selection of suitable candidates for our vacancies as they arise. Veranova respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice .

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands‑on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative‑building are integral to the success of this role. Responsibilities Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross‑validate model results Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc.) Support long‑term MMM (et al.) automation, productionalization and scale with support from data engineering and product Build out front‑end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling, ideally in support of measuring marketing efficiency and optimizing spend, flighting and mix to maximize return on ad spend (i.e., MMM) Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy Exposure to / familiarity with BI/data concepts and experience building out self‑service marketing data solutions Strong coding experience in one or more data programming languages like Python/R Ability to draw insights and conclusions from data to inform model development and business decisions Experience in SQL Preferred Qualifications Master's degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

JAI Development is a food and beverage innovation lab specializing in product formulation and production operations management across diverse product categories. JAI Development helps emerging CPG brands reach their goals. JAI Development partners with a network of industry professionals to support these brands. The company has worked on award-winning projects at both local and national levels. Role Description This is a full-time on-site role for an Associate R&D Beverage Formulator located in Brooklyn, NY. The Associate R&D Beverage Formulator will be responsible for assisting with the formulation of new beverage products, conducting research and development activities, and utilizing laboratory skills to test and refine product formulations. Day-to-day tasks include supporting the R&D team with analytical assessments, collecting and analyzing data, and effectively communicating findings and progress within the team. Qualifications Experience in Research and Development (R&D) and strong Research skills Proficient in Laboratory Skills and Analytical Skills Excellent Communication skills Highly organized with attention to detail Bachelor's degree in Food Science, Chemistry, or related field Ability to work collaboratively and independently in an on-site setting Experience in the food and beverage industry is a plus Desire to work in a fast-paced environment, collaborating with a team of professionals. Detail oriented, striving for perfection but ability to learn from failure.

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

Job Title: Biological/Chemical Scientist Pay rate: $44/hr.W2 Duration: 6 Months With possible Extension Shift timings: 9AM -5 PM Ensures analyses of materials and ingredients.* Ensures performing of prescribed chemical or biological procedures, in production environment.* Ensures adherence to established internal rules and guidelines, and to EHS standards. * Ensures taking protocols and storing in appropriate files. * Contributes to implement new testing, mixing procedures. Impacts: Needs professional technological, economical or scientific know how, methods, tools and principles, and applies to differing and variable situations. Needs to solve assigned, non-routine tasks, to contribute to projects or assignments, or to support development of guidelines, methods, tools or business processes. Key Responsibilities: "Experienced Professional" These positions are expected to contribute to and deliver business processes or detailed technology solutions, in a self-managed and target-oriented manner, and thus contributes to team results. Positions focusing on analysing, developing, testing or implementing processes, technologies and systems in their specific field of expertise, from first principles. Targets are short to medium term (best to be characterized as milestones), and achievements are monitored. They may provide functional advice to and integrate services of operational staff or semi-professional colleagues. Typically, these functions review to 2 to 5 years of relevant experience in their field of work and qualification. Experience: 2+ years or Master Entry. Knowledge: Good knowledge in a technical field or business method including the basic theoretical background. Recommended experience in pipetting, data analysis, and instrument/lab maintenance. Develops basic business understanding. Contributes to team effort, awareness of expected value add. May improve processes, business methods or technical components

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess' patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world. The Role We are seeking a motivated and detail-oriented Research Associate with strong hands-on experience in chromatographic analysis to support QC release and stability testing. The successful candidate will perform routine cGMP QC testing using HPLC methods (RP-HPLC, SEC, IEX), Agilent HPLC systems, and additional supporting assays in a fast-paced, collaborative environment. This is a unique opportunity to be part of an emerging early-phase clinical company bringing innovative technology to the global market. Key Responsibilities Perform routine QC release and stability testing using HPLC methods including RP-HPLC, SEC, and IEX. Prepare samples, operate Agilent HPLC systems, verify system suitability, and ensure analyses meet method and specification requirements. Execute complementary analytical assays such as UV-Vis, pH, surface tension, and mechanical tests. Maintain complete, accurate documentation in compliance with cGMP, ALCOA+, and data integrity requirements. Conduct routine instrument care (solvent flushes, column care, daily checks) and assist troubleshooting under supervision. Process and review chromatographic data in Agilent OpenLab CDS. Support method qualification, validation, and transfer activities by executing protocols and recording observations. Maintain calibration, maintenance, and service records for analytical instrumentation. Independently author method SOPs, analytical protocols, technical reports, and contribute to regulatory submissions. Collaborate cross-functionally with QC, Analytical Development, Process Development, Manufacturing, and Regulatory teams to enable program success. Maintain rigorous laboratory documentation and complete, audit-ready analytical records. Thrive in a fast-paced, cross-functional environment with excellent communication and organizational skills. Qualifications Bachelor's degree in Chemistry, Biochemistry, Chemical Engineering, or related field with 1-3 years of experience; or a master's degree with relevant laboratory experience. Hands-on experience operating HPLC systems; Agilent systems and OpenLab CDS experience strongly preferred. Practical experience with chromatographic techniques including RP-HPLC, SEC, and IEX. Experience supporting QC release or stability testing in a GMP/GLP environment. Strong attention to detail and ability to follow SOPs precisely. Excellent documentation practices and understanding of data integrity. Strong organizational skills with the ability to manage multiple workflows and prioritize effectively in a fast-paced environment. Excellent verbal and written communication skills and comfort working within interdisciplinary teams. Commitment to collaborative work within interdisciplinary project teams. At Vaxess, we're bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to ****************** .

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Primary Duties and Responsibilities Meet and consult with scientists requiring data science support and design plans and solutions. Delivery of results for projects. Work as part of the broader team to identify longer-term solutions that will improve quality, speed and efficacy of our current projects and programs. Evaluate and benchmark new libraries; prototype and pipeline development. Knowledge, Skills and Abilities Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. Natural language processing experience preferred. Shiny, Spyre, Flask, WebDev and prototyping experience preferred. JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred. Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. Significant scientific background with prior experience in clinical research. Minimum Job Qualifications PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment. 5 to 8 years of experience post PhD. Prior experience supervising at least 1 person preferred. License/Certification/Registration Required None Supervisory Responsibilities No Patient Contact None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $131,900.00 - $142,100.00 #J-18808-Ljbffr

Resupply is looking for an analytical team player to join us on our journey to reinvent and forever change the supply‑chain of charitable contributions within the U.S. We are seeking someone who will be passionate about our mission and partnerships as we turn household goods into emergency relief for those in need. As a Statistical Data Scientist, you will embed yourself within the product development team as a trusted partner to prepare for product releases, measure outcomes, and uncover new opportunities for growth. This role focuses on using data to enhance user experience and improve product performance through thoughtful experimentation, measurement, and analysis. A strong foundation in statistics and comfort with basic programming will enable you to succeed as you build out tests, dashboards, and insights that shape our product roadmap. Our small, tight‑knit team is seeking a candidate who will work closely with us at our Downtown Boston headquarters. We work best when we can all innovate together in an open, collaborative environment. Click to learn how Resupply is forever changing charitable giving: ************************************************ Responsibilities Understand how our data is created, stored, aggregated, cleaned, and how it can be used to inform decision making Apply foundational statistical reasoning to help define and validate product metrics Think critically about how we define our metrics Design, run, and analyze the results of A/B tests Build and maintain clear, reliable dashboards and reports to support new feature development and measure outcomes Perform analyses on product features to answer open-ended questions and provide strategic recommendations to influence the product roadmap Architect and maintain data pipelines and queries that serve as the backbone of our product insights and experimentation efforts Collaborate closely with product and engineering teammates to translate data findings into actionable insights Requirements Bachelor's Degree in a quantitative field (e.g., Math, Statistics, Computer Science, Data Science) Solid understanding of core statistical concepts such as probability, sampling, confidence intervals, hypothesis testing, and the foundations of experimental design Familiarity with A/B testing principles and measuring product outcomes Expertise in SQL and working with relational databases Experience building or maintaining dashboards (e.g., Power BI, QuickSight,) At least 2 years of experience with Python scripting through internships/coursework Experience working on projects that require handling large quantities of data Curiosity, attention to detail, and a passion for using data to influence product decisions Why ReSupply? The opportunity to have a tangible, real‑world impact through your work Join a mission‑driven and service‑oriented culture Flexible PTO and early‑exit Fridays year‑round Complimentary daily lunch in the office Team‑building events 401(k) savings option Medical, vision, and dental benefits 17 paid holidays ReSupply is an equal opportunity employer. As such, it is our policy to fill positions with qualified candidates regardless of the candidate's race, color, sex, age, religion, ancestry, national origin, citizenship status, marital status, sexual orientation, gender identity, genetic information, disability, pregnancy, military status, veteran status or any other protected group status. #J-18808-Ljbffr

The Data Science team is responsible for managing all data analytics, reporting and algorithmic aspects for our client. The data science team is an integral part of every function in the life cycle of the company to provide product, tools, business support. As a data scientist you will work closely with architects, engineers, account managers and data scientists within and outside the company. You will be involved from pre-sales to support. You will work on next generation algorithms development and help measure, maintain and upgrade current business. Qualifications REQUIRED SKILLS Outstanding technical abilities with 5+ years of Scala, Java, or C/C++ development experience with statistical machine learning models Rounded business skills with the ability to understand customer business needs Ability to solve problems practically for clients and internal needs Excellent interpersonal skills with ability to communicate clearly and concisely with executives, engineers, account managers, sales, business partners and data scientists. Ability to respond to customer needs and meet deadlines with accurate work while under pressure Expected to build statistical, optimization and machine learning models followed by detailed pre-production out of sample validation and recommendation for a/b testing experiments with success criteria. Own complete life cycle from problem formulation to solution deployment and maintenance Excellent understanding of computer science fundamentals, data structures, and algorithms Have a strong mathematical background and have experience with modeling complex high dimensional problems Experience performing petabyte scale data analysis and developing meaningful visualizations Must be able to collaborate with architects, engineers, and data scientists within and outside the company. EXPERIENCE Proven to thrive in start up environments Experience defining and building web scale algorithms, reports and visualizations Must be organized, have an eye for detail, and be able to put ideas into a tangible form Ability to prioritize and manage work to critical project timelines in a fast-paced environment and the ability to develop new approaches to complex design problems Experience with developing production grade algorithms for the web scale Preferred - Ph.D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map/reduce models a plus Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus Additional Information All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

Be part of our team The Global Head of Data Science is a strategic leadership role responsible for overseeing computational science, biostatistics and data management functions bringing computational solutions to research and development. This leader will design the data roadmap to accelerate drug discovery, optimize clinical trials, regulatory submissions, and, as applicable, accelerate development processes using AI and machine learning (ML). The Head of Data Science will be part of a highly collaborative and cross-functional Development Leadership Team driving the full life-cycle development of our antibody-drug conjugates (ADCs) global clinical trials. They will play an important role in defining and executing the overall product development strategy for Tubulis. This position will report to the Chief Medical Officer and be based in Boston, MA or possible remote opportunities within other locations within the U.S. Your mission Lead,overseeand executebiostatistics, statistical programming, data management, and data science activities for preclinical and clinical studies across the global portfolio. Develop and communicate the vision and mission of the biostatistics and data sciences platform, driving strategic plans to achieve organizational goals. Partner with leaders across biology, chemistry, clinical development, and IT to integrate data-driven insights into the end-to-end drug development lifecycle. Oversee the creation of predictive models for clinical outcomes, efficacy, safety profiles, and asset prioritization using multi-modal data. Ensureappropriate design, collection, management, statistical analysis, and reporting of clinical study data, supporting the entire study data lifecycle. Establish robust data management frameworks ensuring data quality, integrity, and security while adhering to global regulatory standards like GxP, HIPAA, and FDA 21 CFR Part 11. Drive standardization, harmonization, and process optimization to increase productivity, quality, and reduce cycle times and costs. Allocate resources globally to deliver high-quality,timelyoutcomes aligned with study and projectobjective. Foster innovative scientific methodologies and the adoption ofnew technologiesforstate-of-the-artstatistical analyses and data reporting. Establish andmaintainframeworks for regulatory (GxP) compliance and consistency in statistical planning, analysis, and data management tasks. Liaise with regulatory agencies, academic opinion leaders, and cross-functional teams to ensure scientific rigor and regulatory alignment. Contribute to the development and execution of outsourcing strategies to optimize operations. Your profile PhD or equivalent in Computational Biology, Bioinformatics, Computer Science, Biostatistics, or a related scientific/quantitative field. Extensive experience (10+ years) in biostatistics and data management withinapharmaceutical, biotech and academic environment. Proven leadership experience managingand buildingdiverse and high-performing global teams. Deep knowledge of scientific decision processes integral to research and regulatory submissions. Experience in leading preclinical and clinical research projects and familiarity with regulatory requirements and clinical data lifecycle. Must have experience working within Oncology clinical trials. Experience supporting pivotal Phase III programs and proven statistical expertise in statistical planning, study design, data. Ability to develop vision and strategy for biostatistics and data science functions. Ability to foster innovation and continuous improvement in biostatistics and data management process. Proactive and independent thinker and strong team player. Strong organizational, communication, and personnel management skills. Entrepreneurial and problem-solving mindset. Why us? At Tubulis, curiosity and innovation drive us to transform cancer treatment. We are a fast-growing biotech where science meets passion-and where you have the chance to grow with us. Impact that matters: Contribute to breakthrough therapies. Global mindset: Work in an international, diverse team. Grow & thrive: Develop your career in a supportive, fast-moving environment. Innovation every day: Push boundaries with cutting-edge science. At Tubulis, your ideas matter, your growth matters-and together, we make a difference. The development of novel, effective and safe therapies for the treatment of cancer is one of the main challenges for modern medicine. We want to drive this process forward. The main goal of Tubulis is to become a leading company in the field of targeted therapeutics and antibody-drug conjugates (ADCs). With a strong team, our own technologies and innovative therapeutic concepts, we are ushering in a new era in the ongoing fight against cancer and share the vision of helping patients world-wide. Be part of a multidisciplinary and focused team, that works towards getting novel promising ADCs to patients with solid and hematological cancers. #J-18808-Ljbffr

Job Title: Analytical Chemist (Pipetting) - (USC/GC Only) Pay Rate: $35 to $44/hr Duration: 6 months Shift: 9 AM -5 PM Note - Master's degree/PhD. candidates are not accepted. We are looking for an Analytical Chemist (Pipetting) who will execute verification experiments, follow SOPs and EHS rules, maintain accurate documentation, and support day-to-day assay testing across multiple projects. The work is hands-on, protocol-driven, and milestone-oriented, not exploratory research Perform laboratory experiments in accordance with established protocols and quality standards. Execute precise pipetting and sample preparation for biochemical assays. Analyze experimental data, interpret results, and prepare reports or documentation. Perform routine instrument operation, calibration, and maintenance. Maintain laboratory cleanliness, organization, and compliance with safety procedures. Document experimental procedures and results in lab notebooks or electronic systems. Collaborate with cross-functional teams to support project goals and timelines. Requirements: BS in Biochemistry, Chemistry, Biology, or related Strong hands-on wet lab experience (pipetting, dilutions, sample prep) Familiarity with lab equipment + basic maintenance 2+ years hands-on lab experience (industry preferred) Basic data analysis (Excel, instrument software) Ability to lift occasionally from 40-50 lbs of biohazardous materials and water. Ability to follow structured protocols/SOPs with accuracy Strong documentation ability (ELN/GLP/GMP experience is a plus) Evidence of working with SOPs or regulated documentation Experience executing chemical or biological assays (immunoassays preferred) Work Style & Behavior: Can work independently after training Comfortable with routine and non-routine tasks Strong work ethic and reliability Communicates clearly and works well within a team Willing to ask questions Safety and compliance-minded (EHS adherence) Required on-site 5 days/week Ability to learn quickly and implement