Scientist jobs in Rehoboth, MA - 1,276 jobs

The role will be responsible for all operations involved with routine manufacturing and quality control testing of radiopharmaceuticals produced in Aktis' GMP laboratory (Boston, MA), including but not limited to the list below. This role will report to the Director of Clinical Trial Manufacturing. Salary Range: $136,800.00 To $189,200.00 Annually Responsibilities Manual and automated production of radiopharmaceuticals in a GMP facility QC testing of radiopharmaceuticals Execution and upkeep of the facilities' environmental monitoring program Accurate and timely preparation and completion of manufacturing and Quality control records (Batch Records, Forms, Logbooks, etc.) Process/analytical method validation for clinical manufacturing Operation and maintenance of equipment in the GMP facility Preparation of products for shipment to other sites Drafting, reviewing and updating GMP documentation including SOPs Upkeep and maintenance of inventory in the GMP Facility Maintenance of the GMP facility including assisting with radioactive waste stream management Perform contamination wipe tests and surveys Performing and maintenance of the facilities' environmental monitoring program Leading manufacturing process and analytical method qualification activities Contribute to writing CMC sections for submission to regulatory agencies Maintain KPI and internal reports Supporting external tech transfer activities Required Skills Proficient with aseptic operations and environmental monitoring Proficient with QC methodologies (HPLC, GC, MS, Gamma Spec, etc.) Proficient with assembly and interpretation of analytical data Expertise with troubleshooting analytical and production equipment High attention to detail and organizational skills to enable working in a fast-paced environment Ability to work in an ISO7 environment with full gowning Adhere to stringent cleanroom protocols and maintain a high level of hygiene Perform precise aseptic manipulations in a restrictive environment Awareness of FDA and EU GMP requirements Ability to lift 60lbs Expertise with GMP radiopharmaceutical manufacturing and quality control Minimum, B.Sc. with 10+ years or M.Sc. with 7+ years of experience in the pharma industry or equivalent research experience Comprehensive knowledge of GMP manufacturing and quality control workflows Excellent verbal, written, and organizational skills Strong desire to be part of a mission‐oriented company leading transformative change for patients Proven demonstration of transparent communication and fostering open and diverse debate Ability to work with agility and manage ambiguity Personifies positive energy and exemplifies respect #J-18808-Ljbffr

School/Unit Wyss Institute at Harvard University Job Function Research Job Type Full-time Salary Grade 061 FLSA Status Exempt Union 00 - Non Union, Exempt or Temporary Term Appointment No By working at Harvard University, you join a vibrant community that advances Harvard's world‑changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Wyss Institute at Harvard University? The Wyss Institute's mission is to transform healthcare and the environment by emulating the way nature builds. We harness the imagination of academia and the focus of industry to translate groundbreaking technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don't fund because they view it as too risky. We prefer to use the word “challenging,” and we love challenges. For more information discover our technologies, catch up on our recent news, or watch our latest videos. Job Description About You You are a visionary, strategically minded scientific leader with deep expertise in translational science, therapeutic or diagnostic development, molecular or cellular biology, with experience applying computational approaches to support scientific decision‑making. You thrive in interdisciplinary environments and excel at driving programs from concept to preclinical readiness while shaping strategic direction. You enjoy partnering with experimental and computational colleagues to integrate wet‑lab insights with advanced analytical methods. You are impact‑driven and energized by transforming innovative technologies into real‑world solutions. About this Role As Senior Principal Scientist, you will serve as the scientific and translational strategy lead for multiple programs within the Artzi Lab, while contributing to cross‑Institute scientific, computational, and data‑driven initiatives. Reporting to the Chief Operating Officer/Technology Translation Director and in coordination with Professor Artzi, you will define scientific strategy, oversee program execution including integrating AI models and predictions into the lab's work (including in material development, targeted delivery strategies, and technology optimization). You will help guide projects toward translational and commercial milestones. What you'll do Scientific and Translational Leadership Lead scientific strategy, experiment planning, and translational direction across multiple therapeutic, diagnostic, and platform technologies within the Artzi Lab. Guide assay development, molecular or cellular characterization, and data interpretation to demonstrate feasibility and accelerate technology maturation. Drive translational de‑risking by shaping key studies, identifying scientific opportunities, and aligning research efforts with program goals. Collaborate with internal and external partners on experimental execution, analytical characterization, and cross‑functional scientific strategy. Partner with intellectual property teams to develop novel and impactful patent filings. Apply core Artzi Lab technologies, tools, and scientific approaches, and help integrate them into broader translational strategy. Program & Team Leadership Manage and mentor scientific personnel, providing guidance across experimental, computational, and translational domains. Lead cross‑functional project teams and ensure that program milestones are met with scientific rigor and strategic clarity. Build strong relationships with faculty, clinicians, collaborators, and business development professionals to advance program goals. Help forge partnerships with clinicians across Harvard‑affiliated hospitals and support integration of patient‑derived insights into research and development. Strategic Planning & External Engagement Develop and refine translational strategies that incorporate scientific, computational, regulatory, and commercial considerations. Engage with industry partners, clinical collaborators, and philanthropic organizations to position technologies for successful translation. Participate in building collaborative opportunities that bring new expertise, datasets, or analytical capabilities into Wyss programs. Communicate program updates, risks, and strategic recommendations to senior Wyss leadership and stakeholders. Engage with partnering hospitals to leverage patient data and clinical needs to inform scientific strategy. Contribute to grant writing and help build relationships with external partners, including companies and foundations. Computational & Data Strategy Help design and apply AI/ML models to inform material design, delivery strategies, project prioritization, and translational decision‑making. Integrate computational approaches-such as multi‑omics analysis, molecular design, imaging analytics, or predictive modeling-to enhance program decision‑making. Identify and evaluate new computational tools, analytical methods, and external datasets that strengthen translational readiness. Work with data scientists, computational biologists, and software engineers to ensure cohesive integration of computational and experimental workflows. Guide the application of data‑driven frameworks for mechanism‑of‑action studies, biomarker identification, or technology optimization. Support development of scalable data resources and analysis pipelines that enable reproducible, high‑quality scientific insights. Operational Responsibilities Oversee operational planning and resource allocation for complex scientific programs. Prepare and manage budgets spanning multiple projects and funding sources. Produce high‑quality scientific documents, including grant applications, study protocols, analyses, and strategic reports. Qualifications What you'll need Master's degree in Biology, Bioengineering, Biomedical Science, Molecular Biology, Immunology, Computational Biology, or a related field. 15 years of experience in translational research, therapeutic or diagnostic development, or related scientific leadership roles; Education may count toward experience. Desirable skills Ph.D. strongly preferred in Biology, Bioengineering, Biomedical Science, Molecular Biology, Immunology, Computational Biology or related field. Full‑time post graduate industry experience with a focus on product development is preferred. Proven track record leading complex scientific programs and advancing technologies toward translational or commercial milestones. Demonstrated ability to manage and mentor scientific teams across experimental and/or computational disciplines. Strong foundation in molecular or cellular biology, assay development, analytical characterization, or related areas relevant to translational science. Experience with computational analysis, biologics engineering, biomolecular assay development, or translational evaluation of emerging technologies. Familiarity with multi‑omics data, imaging analysis, or predictive modeling is beneficial but not required. Ability to integrate diverse scientific approaches-experimental and computational-to inform program strategy. Strong record of working with external partners to shape program direction and support high‑impact collaborations. Excellent written and verbal communication skills, including technical writing, strategic communication, and presenting to senior audiences. Demonstrated success in generating impactful intellectual property and contributing to commercialization efforts. Additional Information Standard Hours/Schedule 35 hours per week Visa Sponsorship Information Harvard University is unable to provide visa sponsorship for this position Pre‑Employment Screening Identity, Education Why you'll like working with us At the Wyss Institute, you're a member of a supportive, dynamic community that is united by its shared goal of changing the world through groundbreaking technology development and commercialization. We encourage your professional growth and development through mentorship and tuition reimbursement to support continued learning, and more. We also support your physical, financial, and mental well‑being through generous time off benefits, gym reimbursements, and other programs offered through Harvard. Our facility is located in a new, state‑of‑the‑art life sciences building in the lively Fenway neighborhood, where you have access to multiple amenities including a roof top terrace with stunning views of Boston and proximity to numerous restaurants and cultural attractions. We value an inclusive and diverse workforce, and believe that our differences enrich the work environment for all. Benefits Generous paid time off including parental leave Medical, dental, and vision health insurance coverage starting on day one Retirement plans with university contributions Wellbeing and mental health resources Support for families and caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non‑Discrimination Commitment Statement Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non‑discrimination policy. Harvard's equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination. #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

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

A leading biotechnology company is seeking a Principal ML Scientist to innovate in drug discovery using machine learning techniques. This role involves conducting advanced research and providing technical leadership in the application of foundation models for drug discovery. Ideal candidates will possess a Ph.D. in a relevant field, have a strong publication record, and experience in programming with languages like Python and C++. The company offers competitive compensation and relocation benefits. #J-18808-Ljbffr

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 II .This is a 12+Months contract opportunity with long-term potential and is located in Cambridge, MA(Onsite). Please review the job description below and contact me ASAP if you are interested. Job Diva ID: 25-95403 Pay Range: $45-$50 /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: - Maintenance and preparation of cell cultures, Immunofluorescence staining of samples Global Discovery Pathology is seeking a qualified individual to assist with the execution and analysis of microscopy-based cell, organoid, and tissue assays aimed at understanding therapeutic targeting and mechanism of action. The candidate will work with a cross functional team of imaging scientists, histologists, and pathologists to support a wide range of different therapeutic areas within the research organization. Daily responsibilities will include preparation of common stock solutions, maintenance and preparation of cell cultures, immunofluorescence staining of samples (cultured cells, tissue sections, and 3D samples comprising thick tissue samples or whole organoids), data acquisition using both automated and human-interactive microscopy systems, and organization and analysis of image data. Additional responsibilities involving operation of an automated liquid handling system for sample preparation may also be incorporated depending on the candidate's knowledge, experience, and ability. After initial training to familiarize them with lab-specific processes, the candidate will be expected to conduct their work independently following consultation with more senior lab members with whom they will be working. They will have the opportunity to present their work both within the department and at cross functional project meetings. Key Requirements and Technology Experience: Key Skills; Have 2+ years of laboratory experience Experience with fluorescence microscopy Strong proficiency in confocal microscopy The candidate must possess an M.S. degree in cell and molecular biology or a related field and have 2+ years of laboratory experience. Experience with cell culture, general molecular biology techniques, immunostaining, and basic fluorescence microscopy is required. Experience with complex in vitro models (organoids or lab-on-a-chip systems), advanced microscopy techniques such as confocal and super resolution, and comprehensive image analysis including AI-based approaches will be highly beneficial. The successful candidate will have excellent time management skills, record keeping and communication skills, and a willingness to learn new techniques. Our client is a leading Pharmaceutical and Healthcare 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.

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 ****************** .

+++ 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.

A prominent pharmaceutical company is seeking a Translational PET Imaging Scientist to lead clinical implementation of novel PET tracers in oncology studies. Responsibilities include developing imaging strategies, overseeing studies, and managing regulatory submissions. The ideal candidate should hold a Ph.D. and have extensive experience in advancing PET tracers into clinical trials with proven project leadership. This role offers a hybrid work model and a competitive salary range. #J-18808-Ljbffr

## ## Job Description:**JOB TITLE****Principal Data Scientist - Natural Language Processing**Fidelity Workplace Investing is seeking for Data Scientists with experience in natural language processing, large language model, machine learning, knowledge graph. This position will be based full time in Boston, MA.The **Purpose** of Your RoleThis individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to develop AI-based solutions by developing advanced AI models and technologies with Natural Language Processing(NLP), Large Language Model(LLM) and Machine Learning(ML), and developing Knowledge Graph to enable high performance of the AI models. Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include model development with NLP, LLM and ML technologies, gathering data from multiple sources, data processing and analysis, knowledge graph development, unstructured data analysis, predictive and prescriptive analytics, interpretation of findings, presentation, and system implementation. The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise.The **Skills** You Bring* PhD in Computer Science, Information Science, or other related STEM disciplines with extensive research on natural language processing, deep learning, knowledge graph, reasoning, OR Master's Degree in the same areas above with 10 years relevant professional experience* Deep understanding and knowledge of natural language processing, Large Language Model, deep learning, machine learning, knowledge graph, reasoning* A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred* Solid verbal communication, presentation, and business/industry/scientific technical writing skills with an ability to explain complex data science, statistics, and computer science concepts clearly for a nontechnical audience; comfortable interacting with various levels of management from different functions* Proficiency in information design with the ability to present and visualize data to foster efficient and effective understanding of the information.* Experience and knowledge in information retrieval, questing answering, deep learning and Large Language Model technologies The **Value** You Deliver* Manage and guide the AI model developments with Large Language Model, natural language processing, knowledge graph development, data science and data engineering elements of AI projects* Set a strategic direction for model development, knowledge graph development, data identification, collection and qualification activities* Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions* Develop best practices for data science, considering the full analytical lifecycle* Develop guidelines for the evaluation of new analytical tools and platforms* Implement new technologies in a production environment with product, IT, and data engineering teams* Present reports and findings to senior level technical and non-technical audiences How Your Work **Impacts** the OrganizationAs a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.Company OverviewAt Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit **FidelityCareers.com***Fidelity Investments is an equal opportunity employer.*## ## Certifications:## ## Category:## Data Analytics and InsightsMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. #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

A mission-driven organization in Boston is seeking a Statistical Data Scientist to enhance user experience and product performance through data analysis. The ideal candidate will have a Bachelor's degree in a quantitative field and experience in statistical reasoning, SQL, and Python scripting. Responsibilities include running A/B tests and collaborating with product teams to translate insights into actionable strategies. The role offers flexible PTO, team-building events, and comprehensive benefits. #J-18808-Ljbffr

Join a leading pharmaceutical company's Data Science team, where you'll drive and lead advanced analytics across Marketing, Sales, and Access. As Associate Director, A HIGH LEVEL INDIVIDUAL CONTRIBUTOR, you'll lead strategic initiatives-from predictive modeling and personalization to field force optimization-delivering scalable solutions that inform commercial decisions and enhance patient engagement. Deep experience in pharmaceutical marketing analytics is essential to translate brand strategy into actionable insights. Keywords: MMM, Next Best Action, NLP, Data Science, HCP, GenAI Location: Onsite 3 days a week in Cambridge, MA Key Responsibilities Lead development and deployment of predictive models, segmentation, NLP, and GenAI tools to solve complex commercial challenges Translate pharmaceutical brand objectives into analytics frameworks across marketing, sales, and access Design and operationalize Next Best Action strategies to boost omnichannel engagement and HCP ROI Build and scale Patient 360 models and targeting algorithms for AI-driven lead generation Guide stakeholders through insight activation and integration into workflows Champion model governance, experimentation, and analytical rigor Collaborate with IT to develop ML Ops environments and productized solutions Manage external analytics partners and ensure alignment across data engineering, insights, and compliance Who You Are A strategic data scientist with strong business acumen, leadership presence, and deep experience in pharmaceutical marketing analytics. You thrive at the intersection of data and action, delivering measurable impact. Qualifications 7+ years in analytics/data science; 4+ years in leadership roles within pharmaceutical industry Proven experience in pharmaceutical marketing analytics, including brand strategy, HCP engagement, and omnichannel optimization Expertise in NBA, MMM, supervised/unsupervised learning, A/B testing, time-series forecasting Success in marketing mix modeling, decision engines, and GenAI product design Proficient in Python, R, SQL, Snowflake; skilled in Power BI or Tableau Familiarity with APLD, PlanTrak, claims, and specialty pharmacy datasets Strong communicator with executive presence and cross-functional influence

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary The Consumer Engagement & Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic products and insights. As a member of the Price, Value and Assortment Analytics team, you will be at the forefront of delivering high visibility products for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive traffic, revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing, promotions, and assortment decisions. In this role, you will have the opportunity to: Solve complex problems, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail's diverse product portfolio. Guide the modeling approach, design and deploy end-to end solutions utilizing Operations Research (OR), econometric modeling, and forecasting along with the functional team leads, Partner with the Data Engineering team to architect scalable and fail-proof production pipelines, define the unified technical vision, and set standards, Stay up to date on the state-of-the-art modeling methodologies, initiate, lead, and inspire Research and Development efforts, define long-term technical vision and strategic roadmap, Act as a consultant who translates complex requirements and data science findings into decision ready narratives for cross-functional teams, Mandate and champion rigorous performance validation, Provide advanced technical mentorship, proactively identify critical organizational skill gaps, and standardize hiring processes. We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team. We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches. This role may involve managing and mentoring team members. Required Qualifications 10+ years of progressive work experience in retail, consulting, or a related field as an individual contributor (applied data science) with at least 2 years in a lead capacity, Strong foundation and demonstrated experience designing and deploying large scale optimization problems to production, Strong Python, R, and SQL skills, proficiency in working with large datasets, Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.), Excellent communication, leadership, and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs, Proven experience influencing organizational strategy and driving change across business, product, and engineering organizations, Proven experience leading multiple complex projects simultaneously in a fast-paced environment. Preferred Qualifications Experience building and deploying advanced price, promotions, or assortment optimization solutions at scale, In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail, Experience with managing large scale projects and working with multiple business stakeholders, Proven record of intellectual property generation or public representation of technical work. Education Advanced degree in a quantitative field such as computer science, operations research, applied mathematics, or a related field. PhD preferred. Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 12/28/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

A prestigious research institution in Boston is seeking an Associate in Biomedical Informatics to support biomedical research training and projects. The role involves developing knowledge graphs, conducting data analyses, and writing research reports under the guidance of experienced mentors. Applicants should have a Bachelor's degree in computer science and a keen interest in healthcare technologies. #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

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