Research fellow jobs in Brockton, MA - 815 jobs

A leading healthcare technology firm in Boston seeks an Associate Principal Scientist to advance drug R&D through computational research. The ideal candidate will leverage the Tempus platform to analyze diverse datasets, ensuring actionable insights for clients. This role requires a Masters or Ph.D. in areas like Bioinformatics or Data Science, proficiency in R or Python, and comfort in client interactions. A competitive salary range of $170,000-$230,000 reflects the expertise required for this role, alongside comprehensive benefits. #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. 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. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 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 5 years of industrial NLP research experience Multiple publications 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) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II 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).

A cancer research institute in Boston seeks an Artificial Intelligence & Machine Learning Engineer/Scientist I. The role involves consulting with scientists, managing projects, and developing machine learning solutions. Applicants should have at least a Bachelor's degree and experience in AI, Python programming, and ideally a clinical or research setting. The position offers a salary range of $90,400 - $106,400 based on qualifications and experience. #J-18808-Ljbffr

Title:- Research Associate I Duration: Contract until Feb 2027 (Possible extension) Overview/Department Description We are seeking a contract upstream Research Associate to join our Cell Culture Platform group in Cell Culture Development department (CCD-CCP). CCD-CCP is a global business unit responsible for the development of cell culture platforms including media and bioprocess technologies for both fed-batch and perfusion from early and late-stage biologics projects, as well as all upstream CMC development activities for early phase projects (up to Phase II). The candidate will be self-motivated and strongly driven to succeed while demonstrating the ability to function well within a fast-paced and collaborative team-oriented environment. The candidate will also be inquisitive and innovative, exhibiting scientific curiosity and the ability to acquire new skills for fed-batch and perfusion based upstream cell culture processes. This is an exciting opportunity to learn cutting-edge cell culture techniques and develop cell culture subject matter expertise. This role will have significant impacts on early pipeline projects, next generation cell culture process development and manufacturing strategies within the global *** network. Main Duties & 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 Basic Qualifications • 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 Preferred Qualifications • Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors • Knowledge of CMC MINAKSHI SANGWAN Recruiting Lead - US Recruitment O ************ E *************************** W **********************

Research Associate I Assignment Duration: 12 Months Work Arrangement: Onsite Work Schedule M-F 9 AM-5 PM EST (May require weekend work) HM Notes: Possibility of extension • Local candidates ONLY • References will be requested for finalists • ***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. • Team of 13 members • No chemicals • No extreme heat or cold • Cell culture media preparation • Ability to lift 10 kg • Free parking onsite • Over 3 years of experience and PHD's considered overqualified • No full gowning requirement • PPE will be provided Must Have Skills: • Bachelor's or master's degree in chemical engineering Biochemical Engineering, Cell Biology, Biochemistry or a related discipline • Experience can include co-op or internships, 6+ months of experience. • Understanding of aseptic technique and principles of mammalian cell culture • Lab operations experience • Understanding of aseptic technique and principles of mammalian cell culture • Some lab mammalian cell culture experience, however, microbial experience is not a match • MS Office, Word, Excel • Quick learner for new techniques and technology • Strong attention to details Preferred Qualifications • Up to 3 years of professional experience, or including internships • Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors • Knowledge of CMC • Cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) • Strong GPA is a plus Description: We are seeking a contract upstream Research Associate to join our Cell Culture Platform group in Cell Culture Development department (CCD-CCP). CCD-CCP is a global business unit responsible for the development of cell culture platforms including media and bioprocess technologies for both fed-batch and perfusion from early and late-stage biologics projects, as well as all upstream CMC development activities for early phase projects (up to Phase II). The candidate will be self-motivated and strongly driven to succeed while demonstrating the ability to function well within a fast-paced and collaborative team-oriented environment. The candidate will also be inquisitive and innovative, exhibiting scientific curiosity and the ability to acquire new skills for fed-batch and perfusion based upstream cell culture processes. This is an exciting opportunity to learn cutting-edge cell culture techniques and develop cell culture subject matter expertise. This role will have significant impacts on early pipeline projects, next generation cell culture process development and manufacturing strategies within the global network. Main Duties & 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 Basic Qualifications • 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 Preferred Qualifications • Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors • Knowledge of CMC

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.

Prepare injectable (parenteral) peptide and protein formulations to support in vivo and in vitro animal studies, including buffer, excipient, and surfactant selection Execute preclinical formulation development activities to support early research and screening programs Perform biophysical characterization and stability studies to assess formulation performance and robustness Support animal dosing studies by preparing, documenting, and delivering study-ready formulations Maintain accurate experimental records using ELN (Electronic Laboratory Notebook) and manage formulation requests/workflows Operate, maintain, and troubleshoot formulation, biophysical, and analytical laboratory instruments Analyze experimental data and contribute to scientific documentation and reporting Collaborate closely with cross-functional research teams to resolve formulation challenges and meet project timelines

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

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

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.

Responsibilities: * Conducting proprietary research evaluating biotech companies' therapeutic pipeline by analyzing scientific literature, attending medical conferences, and consulting industry experts * Writing research reports for initiations of coverage, analysis of data, deep dive in disease/ technology/ IP/ regulation/ policy, and industry/ company news * Building and maintaining financial models * Conceiving and executing on differentiated project ideas * Interfacing with company management teams, internal sales and trading personnel, and institutional investors * Candidate should understand that the team is highly motivated to become top-ranked in the biotech equity research Qualifications: * ~1+ years of biopharmaceutical investment research, consulting, or industry; prior experience in biopharmaceuticals equity research with full license is a plus * Motivated to rise in the sell-side industry in the long-term * Advanced degree (PhD/MD/ PharmD) in life sciences preferred, though not required; a strong academic track record is essential * Proficiency in written/verbal communication * Experience building financial models using excel a required on-the-job skill; prior experience is a plus * Motivated, hard-working, attention to detail, team player * Can type >120 words per minute Primary Location Full Time Salary Range of $100,000 - $120,000.

Associate (Graduate Hire 2026) - Medical Important Dates: * Application Deadline: February 13, 2026 * Start Date Range: August - September 2026 Application & Recruitment Process: As part of your application, please submit a cover letter addressing the questions below. Candidates who do not submit a cover letter with responses to these questions will not be considered. Cover Letter Questions: * Why are you interested in Prescient Healthcare Group? What attracted you to this role? * What are your top three attributes that will make you a successful consultant? * How many times have you practiced a case with a peer? * What interests you most about working in the life sciences and pharmaceutical industry, and how have your academic experiences, internships, or other relevant exposure prepared you for this role? Recruitment Timeline: * February 16- February 27: Selected candidates will complete an introductory interview with a member of our Talent Acquisition team * February 27: All candidates will be notified of next steps. * March 4th: Final in-person assessment day (behavioral + case interviews) To ensure availability, candidates are encouraged to tentatively block March 4th for the in-person interview day. About You Do you have a passion for: * Understanding tomorrow's emerging therapeutic areas? * Unlocking the full potential of new therapies and shaping successful future therapies? * Understanding why healthcare professionals and patients behave the way they do, and applying this to medical, clinical, and commercial strategies? * Are you a highly motivated professional interested in being part of a new and exciting team, working with global healthcare and pharmaceutical clients across the full product life cycle? About Prescient Healthcare Group (PHG) Our goal is a simple one: we solve exciting, real-world pharma challenges that ultimately make a meaningful difference in patients' lives. PHG is a unique global biopharma, insight-led strategy consultancy. Our core focus is helping biopharmaceutical clients create clinical and commercial strategies that deliver groundbreaking new treatments for patients. With offices in ten major cities across the world, we are a truly global enterprise and are still growing fast, offering our people endless opportunities, supporting rapid personal and professional development. We work with industry leading companies across the full product life cycle, to help them unlock the full potential of their brands. About the Opportunity This role offers a unique opportunity to apply scientific expertise and strategic thinking in a dynamic consulting environment. You will gain exposure to diverse projects spanning therapeutic areas, client types, and global markets. As your career progresses, you will have the flexibility to specialize in areas aligned with your interests. Our structured onboarding and training program will equip you with the necessary skills to succeed, combining classroom training, project shadowing, and hands-on coaching. As part of this role, you will analyse and strategize the development and commercialization of portfolios, assets, and brands by integrating therapeutic, clinical, and commercial expertise. Key Responsibilities: * Demonstrate leadership and professionalism in all aspects of work, fostering a culture of respect, integrity, and collaboration within teams and client interactions. * Take full ownership of performance excellence, ensuring high-quality outcomes while proactively identifying opportunities for professional growth and skill enhancement. * Develop expertise in new therapeutic and commercial areas, applying strategic thinking to create meaningful impact within the team and with clients. * Exhibit strong planning and decision-making skills, effectively managing priorities in a fast-paced, dynamic environment. * Embrace an entrepreneurial mindset, taking initiative, adapting to evolving challenges, and stepping into leadership roles when needed. * Act as a trusted advisor, upholding ethical standards and representing the company's reputation at the highest level in all engagements. Desired Experience and Skills * PhD in a relevant field (e.g., Life Sciences, Biotechnology, Neuroscience, Pharmacology, or a related discipline); MD or MSc candidates with exceptional experience may also be considered. * Demonstrated passion for the life sciences and pharmaceutical industry, demonstrated through academic research, industry collaborations, or strategic consulting experience. * Proven ability to analyse complex scientific and commercial data, drawing strategic insights that inform high-level decision-making. * Strong stakeholder engagement and communication skills, with the ability to present technical and strategic insights to senior leadership and clients. * Adaptability and intellectual curiosity, with a proactive approach to learning and applying knowledge in new therapeutic and commercial contexts. * A drive for self-improvement - the best consultants are those that seek out and action on feedback to improve themselves. * Entrepreneurship - The ability to lead and drive outcomes, particularly in situations that have some ambiguity. * Consulting is a team sport so a demonstrated willingness and enthusiasm to collaborate with others is required. What We Offer * Highly competitive base salary plus performance-related bonus, 401K matching and Health & Dental benefits. * A strong values-based culture that promotes respect, inclusion and teamwork, encouragement to contribute and influence on the business - where everybody has a voice. * Leaders who are accesible, trule listen, are ambitious for our teams, and commited to coaching & sharing their expertise. * A high-growth, entrepreneurial environment where our thinking and our work are innovative, imaginative and bright. * Endless and tailored career development that stretches you and is based on your ambition, abilities and interests - not just box-ticking. * Flexible working, recognition for going the extra mile, and a flat hierarchy. More about Prescient Healthcare Group Prescient is a pharma services firm specializing in dynamic decision support and product and portfolio strategy. We partner with our clients to turn science into value by helping them understand the potential of their molecules, shaping their strategic plans and allowing their decision-making to be the biggest differentiating factor in the success of their products. When companies partner with Prescient, the molecules in their hands have a greater potential for success than the same science in the hands of their competitors. Founded in 2007, Prescient is a global firm with a footprint in ten cities across three continents. Our team of nearly 475 experts partners with 27 of the top 30 biopharmaceutical companies, the fastest-growing mid-caps and cutting-edge emerging biotechs, including some of the biggest and most innovative brands. More than 70% of our employees hold advanced life sciences degrees, and our teams deliver an impressive depth of therapeutic, clinical and commercial expertise. The annual full-time base salary range for this role is ($95,000 - $110,000). Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines. Prescient offers PTO and paid holidays, the terms of which are set forth in the program policies. All full-time employees also are eligible to participate in various benefit plans, including medical, dental, vision, life, disability insurance and 401K; in each case in accordance with the terms of the applicable plans. Prescient has been a portfolio company of Bridgepoint Development Capital since 2021 and Baird Capital since 2017. For more information, please visit: ******************** We are an equal opportunity employer and fully comply with applicable legislation in all the geographies in which we operate. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other category protected by applicable national, federal, state or local laws.

Are you a current UMass Memorial Health caregiver? Apply now through Workday. Everyone Is a Caregiver At UMass Memorial Health, everyone is a caregiver - regardless of their title or responsibilities. Exceptional patient care, academic excellence and leading-edge research make UMass Memorial the premier health system of Central Massachusetts, and a place where we can help you build the career you deserve. We are more than 20,000 employees, working together as one health system in a relentless pursuit of healing for our patients, community and each other. And everyone, in their own unique way, plays an important part, every day. Hiring Range: $180,000 - $200,000 Please note that the final offer may vary within this range based on a candidate's experience, skills, qualifications, and internal equity considerations. The Department of Pediatrics at the University of Massachusetts Chan Medical School and UMass Memorial Health has an opening for a faculty candidate in its Medical Genetics Program. The ideal candidate will be Board Certified in Pediatrics and Board Certified or Board Eligible in Genetics and possess strong clinical and teaching skills. As a pediatric geneticist, opportunities are available to work in a multidisciplinary clinic with Orthopedics, Dermatology and the Craniofacial team. Supervisory roles may include high risk obstetrics, cancer genetics, neurology and cardiology. The Division currently includes 6 dedicated genetic counselors, a nurse clinic coordinator for the UMass Down Syndrome clinic, and other ancillary staff. The position would have primary clinical responsibility with opportunities for research and collaboration with community providers. The Division of Genetics is actively involved in the teaching of medical students and residents and serves as a host site for genetic counselor training. About our Pediatrics Division: The UMass Memorial Children's Medical Center is the only tertiary care hospital for children in central Massachusetts and offers comprehensive pediatric services, including the full range of pediatric subspecialties, a pediatric intensive care unit, a level 3 NICU, and dedicated pediatric emergency and trauma services. Applicants will be considered for a tenure track appointment at the associate professor or professor level in Pediatrics. The position will be tailored to meet the needs of the applicant, including (in addition to the endowed chair) resources to support a robust laboratory and/or clinical research program. The UMass Department of Pediatrics offers opportunities for professional development and collaboration across pediatric subspecialties. Education of UMass medical students, graduate students, and residents is a priority for the program. The position offers a competitive salary and comprehensive benefits Why UMass: * Centrally located in Massachusetts, UMass is the premier health care system in the region, noted for our academic excellence and leading cutting-edge research. * Many of our physicians are both clinicians of UMass Memorial Health and faculty of UMass Chan Medical School. As such, we serve as the bridge between both institutions, working collaboratively as physicians and researchers from different specialties and areas of expertise. All of us are continuously learning, therefore we prioritize physician professional development to invest in the growth of our doctors. * As a Lean organization, UMass Memorial Health is committed to constant innovation. * Each one of us contributes to shaping a culture that promotes kindness, respect, tolerance, partnerships and inclusivity. How to apply: Should you have any questions regarding the position or any issues submitting an application, please feel free to reach out to Kimberly Levasseur, Provider Recruiter at ************************************. Standards Of Respect We are committed to fostering and embracing a culture of diversity, equity, inclusion and belonging. Creating a diverse environment of professors and clinicians who offer unique insights and perspectives as we teach the next generation of physicians is critical to our mission. We are engaged in multiple initiatives with UMass Chan Medical School and with UMass Memorial Health to expand the diversity within our Medical Group in the spirit of inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. We're striving to make respect a part of everything we do at UMass Memorial Health - for our patients, our community and each other. Our six Standards of Respect are: Acknowledge, Listen, Communicate, Be Responsive, Be a Team Player and Be Kind. If you share these Standards of Respect, we hope you will join our team and help us make respect our standard for everyone, every day. As an equal opportunity and affirmative action employer, UMass Memorial Health recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives and backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, protected veteran status or other status protected by law. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ***********************************. We will make every effort to respond to your request for disability assistance as soon as possible.

About the Opportunity The Bioinformatician will report to Ayan Paul, Research Scientist at EAI, and collaborate with Scientists and Clinicians from Peter Castaldi's group at the Harvard Medical School, John Platig's Network Biology group at the University of Virginia, and Jennifer Dy's group at ECE, Northeastern University. Responsibilities will include building an ETL pipeline for ENCODE genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities to participate in building machine learning models, co-author publications, and contribute to grant proposals. Tentative start date: January 2024 for the Spring 2024 semester with possibilities of renewal. This work will contribute towards the understanding of genetic origins of complex diseases like Chronic Obstructive Pulmonary Disease and cutting-edge machine learning-based methodologies for regulation of mRNA splicing. RESPONSIBILITIES INCLUDE: Building ETL pipelines for genomics/transcriptomics data from public databases and processing them with publicly available codes in python and R. Documenting the entire process and all the codes generated and maintaining structured and regular commits in a GitHub repository. Helped implement machine learning models and automate the processing of input data. Write reports/prepare slide decks describing work performed. Contribute to scientific manuscripts and grant proposals where appropriate. MINIMUM QUALIFICATIONS: A Master's degree (or equivalent) A minimum of 3-4 years of experience working with data pipelines and data analysis. Proficiency in Python and R. Experience working in Unix OS and remote computing clusters. Have demonstrable expertise in bioinformatics, especially genomics, transcriptomics, proteomics and/or metabolomics, and have a good grasp of statistics. Experience working with genomics databases like ENCODE and familiarity with RNA-seq, eCLIP, and other data is highly desirable but not required. An ability to write clean and well-documented code and work with GitHub repositories. Position Type Temporary Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Pay Rate: $45/hour

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. 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 high quality 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. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 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 5 years of industrial NLP research experience Multiple publications 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) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I 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).

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

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 have immediate openings for LLM Research Interns with the following qualification requirements: [ Responsibilities ] Research and develop automated evaluation pipelines for Large Language Models (LLMs) in the medical domain, integrating clinical logic and bioinformatic standards; Implement and optimize evaluation frameworks using LLM/Agent-as-a-judge techniques and reward models to assess complex clinical reasoning capabilities; Conduct deep-dive analysis on model performance from both technical (NLP) and clinical perspectives, identifying failure modes and providing actionable insights for model alignment; Extend and improve the company's existing algorithms and evaluation libraries; Work closely with colleagues and management to develop company assets in NLP/LLM and Conversational AI; Be ambitious to lead the changes in future Healthcare with innovations. [ Qualifications ] Currently pursuing a PhD or Master's degree in Computer Science (AI/ML), Bioinformatics, Medical Informatics, Computational Biology, or a related quantitative/medical field; Strong interest in the intersection of AI and Healthcare, with the ability to bridge technical model evaluation and clinical domain knowledge; Strong programming skills with Python and familiarity with deep learning frameworks such as PyTorch; Understanding of the LLM life cycle, including data preparation and reinforcement learning (RLHF/RLAIF); Proven track record of publications in top-tier conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP, etc.) is a plus; Passion for applying AI to make a positive impact in the healthcare domain; Ability to develop practical solutions to challenging problems; Strong writing, communication, and cross-discipline collaboration skills

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

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 have immediate openings for Computer Vision and Robotics Research Interns with the following qualification requirements: · Ph.D./M.S student in Computer Science, Electrical Engineering, Robotics, Data Science, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields; · Self-motivated and demonstrated problem solving and critical thinking skills; · Familiar with at least one mainstream deep learning toolkit, e.g., Pytorch, Tensorflow; · Familiar with Python, C++ and OpenCV; · Proven track record of publications in the top computer vision, machine learning and robotics venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, ICRA, IROS, RSS, TPAMI, IJCV, T-RO, and IJRR is a plus; · Experience with 6D pose estimation, 3D visual perception, video understanding, efficient neural reconstruction, and embodied AI is a plus; · Excellent communication skills and team-work spirit. Main Responsibilities · Conduct top-tier research in the area of Computer Vision and Robotics in a collaborative team-working environment; · Working closely with full-time employees to come up with, implement, and verify research ideas; · Fast prototyping, and developing cutting edge AI assets for the company; · Contribute to intellectual properties, strong publications and transferring technologies into practical product solutions; · Be ambitious to change future Healthcare with innovations.