Research scientist jobs in Framingham, MA - 1,513 jobs

A global biotechnology company seeks an experienced Associate Principal Scientist to support in vitro pharmacology projects. The role involves collaborating with pharmacologists, managing CRO relationships, and assessing external resources for early drug discovery. The ideal candidate should possess a relevant Bachelor's degree and extensive industry experience. A hybrid work model is offered. Competitive salary range from $144,800 to $227,900 annually. #J-18808-Ljbffr

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

A leading healthcare institution in Boston seeks a Sr. Principal Scientist to oversee operations in a GMP lab, focusing on the production and quality control of radiopharmaceuticals. The ideal candidate will have extensive experience in aseptic operations, knowledge of QC methodologies, and a strong educational background in pharmaceuticals. This role requires meticulous documentation, adherence to GMP standards, and the ability to thrive in a fast-paced environment, contributing to pioneering advancements in patient care. #J-18808-Ljbffr

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied ResearcherCambridge, MA: $300,200 - $342,600 for Distinguished Applied ResearcherMcLean, VA: $300,200 - $342,600 for Distinguished Applied ResearcherNew York, NY: $327,600 - $373,800 for Distinguished Applied ResearcherSan Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Immediate need for a talented Research Associate I. This is a 06+ Months Contract opportunity with long-term potential and is located in Framingham, MA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:26-01448 Pay Range: $34 - $44/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Require to be on site daily; Weekend work required occasionally. Plan and execute experiments to optimize upstream cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) Perform upstream experiments and collaborate with other functional groups to speed Phase I pipeline projects Contribute to technical reports, experimental protocols, and technical summaries for presentation internally and externally Participate in the technology transfer of processes into manufacturing facilities Ensure safety and environmental compliance are maintained in the workplace Some weekend working may be required for this role. Key Requirements and Technology Experience: Must have skills: - Understanding of aseptic technique and principles of mammalian cell culture, Cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) Bachelor or Master's degree in Chemical Engineering, Biochemical Engineering, Cell Biology, Biochemistry or a related discipline Post-education experience ?=3 years Understanding of aseptic technique and principles of mammalian cell culture Detailed in lab operations and quick learner for new technologies. Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors Knowledge of CMC Note- Weekend works is required and is occasionally. This is a rotating, schedule 1-4 hours on 1 weekend day and will include a Saturday or Sunday. This will be included in 40 work week and no to exceed 40 hours. Weekend work is pre-planned through end of year; new hire can swap with colleagues if available. Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

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

Scientist - Analytical Development (Clinical/Development) The Scientist will join the Analytical Development Starting Material Group and provide expertise in developing, qualifying, and transferring analytical methods for starting materials, raw materials, intermediates, and excipients. This role supports both internal teams and external partners, including suppliers, CMOs, and QC laboratories. Key responsibilities include method development, impurity profiling, structure elucidation, and authoring technical documentation. The position requires strong chromatographic and mass spectrometry skills, along with a deep understanding of analytical and organic chemistry principles. Key Responsibilities Develop, qualify, and transfer GC, HPLC, UPLC, and mass spectrometry-based assays for starting materials, raw materials, intermediates, and excipients Identify impurity profiles and generate data to support impurity limit setting Apply advanced scientific principles, theories, and practices to analytical and process development Author and review method development reports, qualification reports, SOPs, and transfer/qualification protocols Provide analytical support to internal teams and external partners (suppliers, CMOs, QC) Qualifications Education & Experience Ph.D. in Analytical Chemistry, Organic Chemistry, or related discipline with 1+ year of biopharmaceutical experience OR Master's degree with 5+ years of biopharmaceutical experience, including demonstrated expertise in chromatographic separation, method development/qualification, and structure elucidation Technical Expertise Strong understanding of chromatographic separation mechanisms in both gas and liquid phases Extensive hands‑on experience developing and optimizing HPLC, UPLC, and GC methods for molecular and isomer separation Solid background in organic chemistry with expertise in structure characterization and elucidation using mass spectrometry and NMR Familiarity with Waters and Agilent (U) HPLC and mass spectrometry hardware Experience with Empower, MassLynx, MassHunter, and XCalibur CDS preferred Additional Skills Strong communication, technical writing, and document review abilities Self‑motivated with the ability to work independently and collaboratively Key Requirements Summary Ph.D. + 1 year experience or Master's + 5 years experience Top skills: Gas and liquid phase chromatographic separation Structure elucidation Mass spectrometry expertise

About the job: SciPro is partnered with a fast growing Scientific Data and AI platform startup who is searching for a Senior Applied AI/ML Engineer to join their team. They are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data across the scientific value chain and scientific vertices. They bring this AI data to life in a fast growing suite of universal lab data management solutions, scientific use cases, and AI-based scientific outcomes. Requirements: You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston region. Advanced degree in Biological, Data, or Computer Science Portfolio demonstrating end-to-end ownership of AI/ML products Proven track record of deploying AI models addressing real world problems Experience in biotech, biopharma, or pharma-adjacent projects Superior talent developing at least one of: ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models Responsibilities: Responsible for designing, developing, training, and validation of AI/ML products Support and advise executive leadership regarding technical and commercial feasibility Work with commercial teams to understand the impact of AI in life-sciences Collaborate with cross functional teams to build products Preferred Qualifications: Deep understanding of hurdles facing pharmaceutical drug development Demonstrated ability to make productized applications (for use by more than one group) Excellent communication skills Ability to advocate and evangelize for AI initiatives internally and externally Experience collaborating with teams on large software projects

+++ SiPhox Health is redefining clinical immunoassay diagnostics by miniaturizing the analytical power of a central lab into an accessible, affordable, at-home platform. Our silicon-photonics architecture unites advanced biochemistry, microfluidics, and semiconductor-grade manufacturing to deliver precise, multiplexed biomarker quantification in minutes on a device the size of a coffee maker. We are building what we believe will become the first mass-market photonic blood analyzer, enabling continuous improvement in chronic disease management through frequent, high-quality testing. +++ The Opportunity +++ We are looking for a Senior Assay Development Scientist or Engineer who wants to build assays that have never been built on this kind of platform before. If you thrive on developing rigorous, quantitative immunoassays, including challenging free/competitive assays, and want your work to directly ship in a consumer device used by millions, this is one of the rarest opportunities in diagnostics today. This role sits at the center of platform innovation, contributing directly to analytical chemistry, surface chemistry, microfluidics, and silicon photonics integration. You will shape a growing assay menu that spans hormones, inflammatory markers, metabolic proteins, and future pediatric/specialty panels. +++ What You'll Do +++ Core Assay Development Develop quantitative sandwich and competitive immunoassays (including free hormone assays, displacement-driven formats, and low-abundance biomarkers) on a silicon-photonic resonance platform. Design, execute, and interpret experiments focused on: Binding kinetics & equilibrium optimization Surface functionalization strategies Competitive assay dynamic-range shaping Calibrator and control development (matrix selection, commutability) Assay precision, stability, robustness Analytical Performance & Validation Own assay verification and validation aligned with CLSI standards (EP05, EP06, EP07, EP09, EP10, EP17). Establish and demonstrate performance for: Analytical sensitivity & functional limit (LoB/LoD/LoQ) Linearity & reportable range (including hook effects, competitive assay inflection characterization) Repeatability, reproducibility, and nested CV analysis Interference and cross-reactivity studies Matrix equivalency & recovery studies Build calibration models for a novel platform (e.g., 4PL/5PL, competitive curve inversion, chip-specific normalization frameworks). Cross-Functional Integration Collaborate deeply with photonics, microfluidics, reader electronics, manufacturing, and product engineering teams to close the loop on real-world assay performance. Work with process development and chemistry groups to scale assays from prototype to production, enabling high-volume, chip-based manufacturing. Documentation & Execution Deliver high-clarity technical reports, protocols, V&V documentation, and design-history file content that meets IVD and FDA expectations. Present results across the company to inform design decisions and product milestones. +++ What We're Looking For +++ Technical Background PhD + 2 years, or MS + 6 years in biochemistry, chemical engineering, analytical chemistry, biophysics, bioengineering, or related fields. Expertise in immunoassay development (sandwich and competitive). Experience with free hormone assays is a major plus. Demonstrated ability to independently solve complex analytical and biochemical problems. Hands-on experience with complex analytical workflows, assay automation, and instrumentation. Strong understanding of calibration design, commutability, and control strategies. Familiarity with statistical analysis of assay performance, including mixed-model ANOVA, CV decomposition, and method-comparison frameworks. Regulatory & Platform Experience (Bonus) Experience with IVD development, ISO 13485, or 21 CFR 820. Experience with POC or novel-platform assay development. Knowledge of label-free sensors, waveguides, or photonic resonance systems. Experience with Python, R, or MATLAB for data analysis, curve fitting, and automation. Personal Traits Strong scientific intuition paired with rigorous data discipline. Thrives in a fast-paced, milestone-driven startup environment. Creative problem solver willing to challenge established assay paradigms. High integrity, willingness to own outcomes, and a collaborative mindset. +++ Why This Role Is Unique +++ Most assay developers spend their careers optimizing assays on platforms that already exist. At SiPhox, you will: Build the first generation of photonic immunoassays deployed in consumer health. Design assays whose constraints are shaped by semiconductor physics as much as biochemistry. Work on hard problems (free hormone assays, multiplexing, competitive equilibrium, small-volume matrices) where innovation, not incrementalism, wins. See your work ship in a product used at home by real people, not just research labs. If you want to work at the frontier of diagnostics (where photonics, biochemistry, and consumer health converge) we'd love to meet you.

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 consulting firm specializing in healthcare seeks a Senior Consultant in Boston, MA. The role involves managing research efforts, mentoring junior consultants, and providing strategic insights to clients. Candidates should have an advanced degree or relevant experience in life sciences consulting, strong data synthesis abilities, and excellent communication skills. The position offers a competitive salary starting at $128,000 plus bonus potential, making it an attractive opportunity for professionals in the biopharmaceutical industry. #J-18808-Ljbffr

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis - to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA. We are seeking Research Interns to contribute to our R&D efforts in Artificial Intelligence, Medical Imaging, and Computer Vision. As a part of our team, you will collaborate with senior experts, tackle challenging technical problems, and gain valuable experience developing AI solutions for healthcare. Exceptional work during the internship may lead to contributions to practical product solutions or publications in top-tier journals and conferences. Responsibilities: Conduct cutting-edge research on AI and Deep Learning algorithms to address challenges in medical imaging. Explore and develop medical image foundation models, multi-modality models, and generative AI techniques. Collaborate with senior team members to implement and refine advanced algorithms for medical imaging analysis and computer vision. Translate research findings into practical applications for real-world healthcare challenges. Contribute to team-oriented projects in a collaborative and innovative research environment. Stay updated on emerging trends and technologies in AI and medical imaging to drive impactful advancements. Qualifications: Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related field. A proven track record of publications in relevant fields (e.g., Machine Learning, AI, Computer Vision, Medical Imaging) is a plus. Knowledge of state-of-the-art AI methods including deep learning, generative AI, foundation models and multi-modality models. Familiarity with medical imaging analysis or computer vision. Proficiency in Python and C/C++. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Strong problem-solving abilities, critical thinking, and self-motivation. Effective communication skills and a collaborative mindset.

Managing Consultant - Life Sciences Strategy The life sciences sector is evolving at an unprecedented pace. Advances in pharmaceuticals, biotechnology, diagnostics, and medical devices are reshaping how diseases are treated and how patients engage with their health. This role offers the opportunity to work at the center of that transformation-partnering with industry leaders to solve complex commercial, strategic, and operational challenges. As a Managing Consultant within a life sciences-focused consulting practice, you will help clients navigate critical decisions across product strategy, commercialization, pricing and access, and regulatory considerations. You will play a visible leadership role on engagements, guiding teams, shaping insights, and building trusted relationships with client stakeholders. What You'll Do Client Engagement & Project Leadership Lead consulting engagements from proposal development through delivery, ensuring high-quality, client-ready outputs Oversee day-to-day client interactions and serve as a primary point of contact for engagement execution Manage project plans, staffing models, timelines, scope, and budgets across multiple concurrent workstreams Facilitate working sessions and presentations with client teams, including senior leadership Team Leadership & Development Direct and support project teams, providing guidance, feedback, and coaching to consultants and senior consultants Foster professional growth through mentorship, performance feedback, and career development support Collaborate closely with senior leadership to communicate progress, risks, and opportunities Strategic & Commercial Analysis Develop insights and recommendations across areas such as product planning, launch strategy, forecasting, market sizing, segmentation, and commercial model design Apply structured problem-solving and analytical rigor to address complex business questions Leverage industry data sources and market intelligence to inform strategic decisions Practice Growth & Business Development Contribute to proposal development, client expansion efforts, and internal capability building Identify opportunities to extend engagements or introduce complementary services Support the long-term growth of the life sciences consulting practice What You Bring Required Qualifications Bachelor's degree in a scientific, healthcare, engineering, or business-related field; advanced degree strongly preferred At least 4 years of relevant experience in management consulting or industry roles supporting pharmaceutical, biotech, or life sciences organizations Strong understanding of drug development, commercialization, and launch dynamics Proven ability to synthesize complex data and translate insights into actionable strategies Experience managing project teams, including workplans, budgets, scope, and delivery timelines Demonstrated success coaching and developing junior team members Willingness to travel to client sites within the U.S. (up to ~20%) Authorization to work in the U.S. without employer sponsorship Preferred Experience Hands-on experience with commercial strategy topics such as patient journeys, HCP targeting, forecasting, sales force design, and marketing investment planning Familiarity with common life sciences data sources (e.g., claims, market access, prescribing, CRM, or activity data) Strong client relationship skills, including identifying follow-on opportunities and deepening partnerships Excellent written and verbal communication skills Collaborative mindset with the ability to thrive in team-based environments Career Growth This role is designed for long-term development. Managing Consultants follow a clearly defined progression path, building leadership, client management, and business development capabilities that prepare them for advancement into more senior leadership roles. Compensation & Benefits Annual Salary Range: $102,000 - $170,000 (U.S.-based) Compensation is determined by experience, skills, and business needs and may include eligibility for performance-based incentives Please note: This job posting is just a preview of the full scope of the position. A comprehensive job description is shared by a member of our team

Industry: Pharmaceuticals Title: Senior Associate Scientist Duration: 12 months contract (+Possibility of extension) Job Description: The Senior Associate Scientist, Specifications will be responsible for specification support of si RNA drug substances and drug products. This is an onsite position. Summary of Key Responsibilities: • Initiate and manage specification change controls in a GMP setting. • Expected contributions to general operations including review of data and authorship/review of technical documentation. Provide technical support as needed. • Author and review SOPs and protocols in accordance with company and regulatory guidelines. • Contribute to data review, analytical and stability sections of regulatory submissions. Assist with responses to agency requests on these sections. • Contribute to specification assessment of existing and new products. • Provie support in maintaining platform program specification documents Accountabilities • Meet goals supporting studies and defining specifications for new molecules in development. • On-time and compliant completion of review and verification of stability data to support clinical supply. • Implementation of stability and release specifications for product registration. • Adhere to core values. Knowledge/Experience/Skill: • BS or MS in Chemistry, Biochemistry or related disciplines. • Minimum of 2 years of previous experience in a cGMP analytical laboratory environment. • Preferred previous experience with stability studies designed and conducted in accordance with ICH guidelines. • Must be a team player and open to change. • Must have excellent communication and speaking skills. Can prepare presentations and present. • Preferred - experience with HPLC and physico-chemical test methods of oligonucleotides. Alternatively - experience with HPLC and physico-chemical test methods of oligosaccharides or proteins. Scope The Senior Associate Scientist Specifications will be responsible for specification support of developmental and clinical si RNA drug substances and drug products. Physical/Environmental Factors (Complete if appropriate for role) • Must be able to adhere to all laboratory safety requirements • Must be able to travel between sites Competencies • Ability to write clear technical documents and provide meaningful presentations. • Ability to work independently and in compliance with company policies and regulatory guidelines. • Excellent team skills, organization, and strong interpersonal communication skills (written and verbal)

A leading cancer research institute in Boston is looking for a Principal Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves working on short-term and long-term projects that revolutionize cancer research using AI and machine learning. Candidates should possess a Master's degree, have 8+ years of experience in AI/ML, and be proficient in Python. The position offers a competitive salary range of $154,000 to $184,500 and invites applicants committed to innovative cancer care. #J-18808-Ljbffr

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Responsibilities Partner with our pharma clients to design, develop and execute computational research leveraging the Tempus platform to advance drug R&D programs. Become an expert in Tempus multimodal clinical and genomic data. Analyze and integrate large, diverse clinical and molecular datasets to extract insights and drive new research opportunities. Lead scientific and technical interactions with clients to co-architect solutions and projects. Become an expert in current and prospective clients' strategies, pipelines, and portfolios to identify where the Tempus platform can add value and collaborate with sales teams to realize that value. Collaborate with Research, Engineering & Data Science teams to develop and deliver innovative computational solutions. Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research and industry trends, championing opportunities for new markets, and influencing our leadership and global account strategy teams. Work with Product and Engineering teams to streamline the workflow of computational analyses. Document, summarize, and communicate highly technical results and methods clearly to non-technical audiences. Author whitepapers and peer-reviewed manuscripts illustrating the value of multimodal analysis and AI in drug discovery. Qualifications Education to Masters or Ph.D. level combining quantitative and/or computational skills, e.g., Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, Data Science for Health, or similar. Biological or medical knowledge, e.g., Human Disease, Genetics/Genomics, Molecular Biology, or Immunology. Comfort in a client-facing role. Proficient in R or Python. Strong understanding of the molecular nature of human disease. Expert in delivering actionable insight from transcriptomic data sets. Experience with Clinical Trial Data and/or Real World Evidence. Experience with integrative methods to model multi-modal clinical and/or omics data. Experienced in SQL. Thrive in a fast‑paced environment and willing to shift priorities seamlessly. Experience in any of the following will also be beneficial: drug R&D oncology; immunology; single cell or spatial transcriptomics; mechanistic modeling and inference; knowledge and graph‑based AI techniques. CHI: $170,000-$230,000 NYC/SF: $180,000-$250,000 The expected salary range above is applicable if the role is performed from Massachusetts and may vary for other locations (California, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Our commitment to people with neuromuscular diseases Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more ************************* and follow us on X, LinkedIn and Facebook. Role Summary: The Principal S cientist , ADME-PK in Preclinical Development (PCD) department utilize s their knowledge in drug metabolism, ADME concepts, pharmacokinetics, pharmacodynamic and bioanalytical principles to advance Dyne 's efforts surrounding delivery of therapeutic payloads to muscle and CNS tissues with the FORCE platform . This role is based in Waltham, MA. Primary Responsibilities Include: Design and execute internal/external preclinical studies to understand the pharmacokinetics (PK) and absorption, metabolism, distribution, and excretion (ADME) of Dyne's drug candidates Represent PCD as the ADME-PK subject matter expert on discovery and program teams Partner with and support Research, Toxicology, Translational Biomarkers, Clinical, Regulatory, Project Management and other Dyne departments Collaborate with Clinical Pharmacology/Pharmacometrics to develop quantitative tools to translate PK/PD relationship from preclinical to clinical Author high quality Regulatory documents including INDs, CTAs, and NDA/BLA filings. Prepare strategic and science-based ADME strategies that meet regulatory requirements and program goals Facilitate strategic scientific communication via meetings, abstracts and manuscripts Education and Skill Requirements: PhD in Pharmacokinetics, Pharmacology, Pharmaceutics, Biomedical Sciences or other relevant field with >6 years (MS with >8 years, BS with >12 years) of experience in the biopharmaceutical industry, with evidence of drug development experience Strong knowledge of drug metabolism, ADME concepts, pharmacokinetics, pharmacodynamics and bioanalytical principles F amiliarity with regulatory submission including FIH dosing strategy is highly desirable Proficient in using WinNonlin or other pharmacokinetic software Excellent communication (verbal and written) and presentation skills, as well as interpersonal skills and the ability to represent PCD in a team environment Experience with PK characterization of protein therapeutics or antibody-drug conjugates (ADCs) is desired #LI-Onsite MA Pay Range $159,000 - $195,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law. #J-18808-Ljbffr

A cancer research organization in Boston seeks a Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I. This role involves collaborating with physician scientists and leading research efforts. The ideal candidate has a Master's degree, 8+ years of experience in AI/ML, and strong Python skills. The position requires problem-solving abilities, team collaboration, and experience in clinical or research environments. A commitment to diversity and inclusion is essential for this role. #J-18808-Ljbffr