Research scientist jobs in Cambridge, MA

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.

Akkodis is seeking a Scientist I (Scientific) for a 24 Months Contract job with a client in Framingham MA 01701 (Onsite). We're ideally looking for applicants to have a background in pharmaceutical domain. Pay Range: $50-$60/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. The Cell Line Development Department at xxx is seeking a highly motivated Molecular Biology Scientist to join a high-performing, collaborative team focused on optimizing CHO cell line development platforms through advanced molecular biology techniques and automation. Responsibilities will focus on improving process workflows, expression system components, and CLD methods used to generate recombinant CHO cell lines for production of protein biologics. Basic Qualifications • PhD (0-3 years) in Molecular Biology, Cell Biology, Biochemistry, Bioengineering, or related discipline • Extensive hands-on experience with molecular cloning techniques including Gibson assembly, Golden Gate cloning, restriction cloning, and PCR-based methods • Demonstrated expertise in DNA construct design, vector engineering, and plasmid preparation • Experience with genetic characterization methods such as dd PCR, qPCR, gel electrophoresis, and DNA sequencing analysis • Proficiency in designing and optimizing molecular biology workflows for automation on liquid handling platforms (Hamilton, Tecan, or similar) • Strong technical background in molecular biology with excellent attention to detail and troubleshooting skills Preferred Qualifications • Mammalian cell culture experience in a pharmaceutical or biotechnology setting, particularly with CHO cells • Experience with high-throughput screening and clone selection strategies • Familiarity with bioinformatic tools for DNA sequence analysis, primer design, and in silico cloning (Snapgene, Geneious, Benchling, Primer3 or similar) • Knowledge of CHO cell line development processes and recombinant protein expression • Experience using Oxford Nanopore Technologies in NGS workflows • Basic programming skills in R or Python for data analysis and visualization If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ************ or ******************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Job Title: Scientist I Duration: 24 months, possibility to convert HM Notes: COVID VAX IS REQUIRED PRIOR TO STARTING! Fully onsite. Start ASAP. Two-year assignment with possibility to convert... Must have cloning exp. 0-3 years. PhD required (degree in or related to molecular bio, bio chem, micro bio, etc.) Experience can be from school, does not need to be industry. Not opposed to someone with more than 3 years experience... Day in the life: plasmid production, generate plasmids for pipelines, doing QC, in the future they will be automating the process so if they have automation exp that would be fantastic if not, okay, in lab 75% of day... Must Haves: Cloning Experience, Gibson assembly and Golden Gate assembly experience.... Like to have: Automation experience (they will be moving into automation so it would be great if the person was familiar with that but if not, they can be trained) Description: The Cell Line Development Department at is seeking a highly motivated Molecular Biology Scientist to join a high-performing, collaborative team focused on optimizing CHO cell line development platforms through advanced molecular biology techniques and automation. Responsibilities will focus on improving process workflows, expression system components, and CLD methods used to generate recombinant CHO cell lines for production of protein biologics. This will include the design and generation of next generation vector topologies utilizing modern cloning strategies such as Gibson assembly and Golden Gate cloning. The ideal candidate will possess expertise in high-throughput molecular biology workflows and automated vector construction pipelines. Work will directly support development projects in pipeline and will include frequent cross-functional interactions with colleagues in global CMC sites (US, France). Key Responsibilities • Design and construct expression vectors using advanced molecular cloning techniques including Gibson assembly, Golden Gate cloning, restriction enzyme-based cloning, and site-directed mutagenesis • Develop, optimize, and implement automated workflows for high-throughput vector construction and DNA assembly on liquid handling platforms • Generate, validate, and bank vector constructs for expression of candidate biotherapeutic molecules in mammalian cell systems • Perform molecular characterization of cell lines and constructs using techniques such as dd PCR, Sanger sequencing, and restriction mapping • Support NGS library preparation for genomic and transcriptomic analysis of CHO cell lines • Optimize and troubleshoot molecular biology protocols to improve efficiency and reproducibility • Prepare technical reports and presentations to communicate progress and data Basic Qualifications • PhD (0-3 years) in Molecular Biology, Cell Biology, Biochemistry, Bioengineering, or related discipline • Extensive hands-on experience with molecular cloning techniques including Gibson assembly, Golden Gate cloning, restriction cloning, and PCR-based methods • Demonstrated expertise in DNA construct design, vector engineering, and plasmid preparation • Experience with genetic characterization methods such as dd PCR, qPCR, gel electrophoresis, and DNA sequencing analysis • Proficiency in designing and optimizing molecular biology workflows for automation on liquid handling platforms (Hamilton, Tecan, or similar) • Strong technical background in molecular biology with excellent attention to detail and troubleshooting skills • Self-motivated with excellent organization, time-management, and communication skills • Maintain detailed electronic laboratory notebooks and documentation of all experimental procedures • Demonstrated ability to work as member of a team and adhere to timelines Preferred Qualifications • Mammalian cell culture experience in a pharmaceutical or biotechnology setting, particularly with CHO cells • Experience with high-throughput screening and clone selection strategies • Familiarity with bioinformatic tools for DNA sequence analysis, primer design, and in silico cloning (Snapgene, Geneious, Benchling, Primer3 or similar) • Knowledge of CHO cell line development processes and recombinant protein expression • Experience using Oxford Nanopore Technologies in NGS workflows • Basic programming skills in R or Python for data analysis and visualization • Experience with Bash/command line scripting for bioinformatics workflows and data processing • Experience with automated colony picking and clone tracking systems • Flexibility to adjust to a fast-paced, goal-oriented environment and willingness to expand and broaden skillset As a healthcare company and a vaccine manufacturer, we have an important responsibility to protect individual and public health. All US-based roles require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities. According to the CDC, an individual is considered to be “fully vaccinated” fourteen (14) days after receiving (a) the second dose of the Moderna or Pfizer vaccine, or (b) the single dose of the J&J vaccine. Fully vaccinated, for new employees, is to be fully vaccinated 14 DAYS PRIOR TO START DATE. #GD-SA #LI-SA PDN Diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

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 .

Title:- Scientist I Duration: Contract until Jan 2027 (Two-year assignment with possibility to convert depends on performance and project needs) COVID VAX IS REQUIRED PRIOR TO STARTING Description: The Cell Line Development Department at *** is seeking a highly motivated Molecular Biology Scientist to join a high-performing, collaborative team focused on optimizing CHO cell line development platforms through advanced molecular biology techniques and automation. Responsibilities will focus on improving process workflows, expression system components, and CLD methods used to generate recombinant CHO cell lines for production of protein biologics. This will include the design and generation of next generation vector topologies utilizing modern cloning strategies such as Gibson assembly and Golden Gate cloning. The ideal candidate will possess expertise in high-throughput molecular biology workflows and automated vector construction pipelines. Work will directly support development projects in ***'s pipeline and will include frequent cross-functional interactions with colleagues in ***'s global CMC sites (US, France). Key Responsibilities • Design and construct expression vectors using advanced molecular cloning techniques including Gibson assembly, Golden Gate cloning, restriction enzyme-based cloning, and site-directed mutagenesis • Develop, optimize, and implement automated workflows for high-throughput vector construction and DNA assembly on liquid handling platforms • Generate, validate, and bank vector constructs for expression of candidate biotherapeutic molecules in mammalian cell systems • Perform molecular characterization of cell lines and constructs using techniques such as dd PCR, Sanger sequencing, and restriction mapping • Support NGS library preparation for genomic and transcriptomic analysis of CHO cell lines • Optimize and troubleshoot molecular biology protocols to improve efficiency and reproducibility • Prepare technical reports and presentations to communicate progress and data Basic Qualifications • PhD (0-3 years) in Molecular Biology, Cell Biology, Biochemistry, Bioengineering, or related discipline • Extensive hands-on experience with molecular cloning techniques including Gibson assembly, Golden Gate cloning, restriction cloning, and PCR-based methods • Demonstrated expertise in DNA construct design, vector engineering, and plasmid preparation • Experience with genetic characterization methods such as dd PCR, qPCR, gel electrophoresis, and DNA sequencing analysis • Proficiency in designing and optimizing molecular biology workflows for automation on liquid handling platforms (Hamilton, Tecan, or similar) • Strong technical background in molecular biology with excellent attention to detail and troubleshooting skills • Self-motivated with excellent organization, time-management, and communication skills • Maintain detailed electronic laboratory notebooks and documentation of all experimental procedures • Demonstrated ability to work as member of a team and adhere to timelines Preferred Qualifications • Mammalian cell culture experience in a pharmaceutical or biotechnology setting, particularly with CHO cells • Experience with high-throughput screening and clone selection strategies • Familiarity with bioinformatic tools for DNA sequence analysis, primer design, and in silico cloning (Snapgene, Geneious, Benchling, Primer3 or similar) • Knowledge of CHO cell line development processes and recombinant protein expression • Experience using Oxford Nanopore Technologies in NGS workflows • Basic programming skills in R or Python for data analysis and visualization • Experience with Bash/command line scripting for bioinformatics workflows and data processing • Experience with automated colony picking and clone tracking systems • Flexibility to adjust to a fast-paced, goal-oriented environment and willingness to expand and broaden skillset As a healthcare company and a vaccine manufacturer, *** has an important responsibility to protect individual and public health. All US based roles require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities. According to the CDC, an individual is considered to be “fully vaccinated” fourteen (14) days after receiving (a) the second dose of the Moderna or Pharmaceutical vaccine, or (b) the single dose of the Pharmaceutical vaccine. Fully vaccinated, for new *** employees, is to be fully vaccinated 14 DAYS PRIOR TO START DATE. MINAKSHI SANGWAN Recruiting Lead - US Recruitment O ************ E *************************** W **********************

Data and Evaluation Applied AI Scientist (Battery Informatics and Scientific AI Systems) $180k - $310k A fast growing energy technology company is expanding its AI research division and is looking for a Data and Evaluation Applied AI Scientist. The team builds advanced AI systems to accelerate discovery in energy storage and next generation battery materials. This role focuses on data correctness, scientific reasoning quality, and the integrity of battery domain knowledge used to train LLMs and multi agent scientific frameworks. The company combines material science and applied AI to develop high energy Li Metal and Li ion battery technologies. Their platform uses AI enhanced discovery to design electrolytes, model electrochemical behavior, and develop new materials with real world applications across transportation, robotics, aerospace, and long duration energy storage. What You Will Do • Translate complex battery materials knowledge into structured, high quality, AI trainable datasets • Lead rigorous data validation, cleaning, and annotation processes to ensure scientific correctness • Create benchmark datasets and design multimodal evaluation suites for model testing • Partner with AI architecture teams to assess and refine model reasoning across chemistry, materials, and electrochemical concepts • Apply techniques that improve correctness and alignment, including methods inspired by human feedback systems • Ensure that AI models demonstrate accurate understanding of molecular behavior, materials interactions, and battery domain logic • Drive the application of battery informatics principles across data pipelines and model development What You Bring • PhD in Chemical Engineering with a focus on lithium battery systems or in Materials Science or a closely related computational field • Deep domain expertise in battery materials and electrochemical systems • Strong experience converting scientific data into AI trainable structures • Practical experience with data validation, annotation, and benchmark dataset creation • Exposure to LLM pipelines, AI evaluation, or multi agent scientific workflows • Background in an applied science or AI for materials role Preferred Experience • Hands on experience with RLHF or other model tuning and alignment techniques • Work history in battery labs, materials informatics teams, or AI4Science groups • Experience designing domain specific evaluation frameworks for complex AI systems • Experience as a computational battery AI specialist

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By clicking the Apply button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takedas Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below. Job Description About the role Embedded in our Global Manufacturing Science (GMSci) team, you will provide process science and manufacturing technology leadership for drug product manufacturing across Takedas global network. You will act as a technical SME for small molecule oral solid dosage and/or parenteral processes, supporting both new product introductions and lifecycle management of marketed products. Working in a matrix environment, you will align cross-functional stakeholders and external partners to enable robust, compliant, and scalable manufacturing. You will also represent the drug product process science perspective in regulatory CMC interactions, translating process understanding into clear and defensible filing content. Overall, you will help strengthen how Takeda applies process knowledge consistently across sites to improve execution and decision-making. How you will contribute Lead and/or oversee DP technical deliverables across the product lifecycle, including: Technology transferto internal sites and external contract manufacturing organizations (CMOs) Process validationplanning and execution support Process characterizationand establishment of process understanding Serve as an escalation point forcomplex technical investigations and issue resolution, mobilizing and coordinating rapid cross-site support when needed. Drivemanufacturing strategiesfor assigned key products, ensuring the approach is consistent across Takedas internal network and CMOs and is grounded in process knowledge and science-based risk management. Leadcontinuous improvementfor late-phase/matured products by identifying and advancing opportunities that improve robustness, control strategy, and operational performance without compromising compliance. Partner effectively in a matrix environment with key stakeholders, including: Pharmaceutical Sciences counterparts (R&D) Manufacturing site and operating unit leaders Local Technical Services organizations Global Quality and Regulatory CMC teams Ensure process knowledge iscaptured, shared, and reusedacross sites and functions to strengthen Takedas overall DP manufacturing capability and speed decision-making. What you bring to Takeda Degree(BS, MS, and/or PhD) in Chemistry, Chemical Engineering, or a related discipline(or equivalent combination of education and experience). At least 5 yearsof relevant industry experience, with experiencesupportingpharmaceutical development and/or manufacturingin DP-related areas (e.g., OSD and/or parenterals). Demonstrated success as an SME and project leader in a matrix environment, influencing technical decisions across functions and sites without relying on direct authority. Strong working knowledge of DP manufacturing technologies, validation and tech transfer principles, and practical application ofindustry best practices. Experience contributing to or leadingregulatory CMC readiness, including converting process understanding into clear technical narratives and defensible control strategies. Proven ability toanalyze complex problems, drive to root cause, and implement sustainable solutions with high technical rigor. Communication and stakeholder-management skills that enable effective collaboration, conflict resolution, and alignment across internal teams and external partners. A working style that prioritizesfocus, accountability, and measurable outcomes, while actively building capability for the future. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $137,000.00 - $215,270.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. LocationsBoston, MABEL - Lessines, Brooklyn Park, MN, CHE - Glattpark (Opfikon) - Zurich HQ, CHE - Neuchatel, IRL - Bray - Production, IRL - Dublin - Baggot Street, IRL - Grange Castle - Production, JPN - Yamaguchi - Hikari Plant, USA - CA - Thousand Oaks - Rancho ConejoWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time Job Exempt YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. xevrcyc An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Tittle: Senior Food Scientist Work Authorization : US Citizen and Green Card This role will lead the development and improvement of nutritional beverages and powders from concept to commercialization, driving innovation that ensures exceptional quality, stability, and clinical impact. Responsibilities Develop and optimize nutritional beverage and powder formulations that meet nutritional, sensory, and stability goals. Partner with Medical Nutrition, Marketing, and Sales to align product design with business and patient needs. Research and evaluate new ingredients and explore new medical nutrition opportunities. Support leadership with technical and scientific expertise for product and clinical development. Build vendor relationships to source ingredients that meet product requirements. Present company research at scientific meetings and conferences. Ensure strong intellectual property protection for new products and processes. Follow all GMP, food safety, and workplace safety policies. MUST HAVES: Bachelor's degree in Food Science, Nutrition, or related field (Master's preferred; PhD or PharmD a plus). 5+ years of product development experience from concept to commercialization in nutrition, food, beverage, supplement, nutraceutical, or biotech industries. Previous experience in basic and applied research and development preferably in small/mid-sized nutrition, food, beverage and/or biotech company. Strong background in food science, ingredient interactions, and process impact on nutrient stability. Knowledge of food safety standards and aseptic processing AI-generated to support your search process-please use them as guidance and apply your own best judgment when making decisions Benefits Competitive salary and performance-based bonus (12.5%) program Comprehensive health, dental, and vision insurance Paid time off and holidays 401(k) with company match Opportunities for professional growth and advancement Employee discount programs

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 ; 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 1- or via email at . 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).

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The purpose of this position is to develop new scientific knowledge, technologies and engineering solutions to problems in material flammability, fire dynamics and Lithium-ion battery safety research, which can be used for the prevention or control of industrial property loss. The principal responsibilities are to carry out research projects in the areas of flammability, fire spread, and heat transfer in fires from solid combustible as well as Lithium-ion batteries. Key areas of research include understanding of fire behavior at the medium and large scales via bench-scale experiments and theoretical models on material flammability and flame heat transfer. Projects can also involve advanced flame diagnostic of buoyant turbulent sooty flames and wall fires. The experimental and theoretical studies will be closely integrated with Computational Fluid Dynamic (CFD) model development and validation within the work group. The position is responsible for all aspects of project management including project proposals, execution, and reporting. The position requires a PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or related fields with a strong fundamental background in combustion, fluid mechanics, heat transfer, material science and applied mathematics. Extensive experience in experimental methods in thermal fluids, material flammability, heat transfer, combustion/fire, and an understanding of associated numerical methods are required. Research experience with advanced laser diagnostics in flame, experimental measurement in turbulent flame, heat transfer and failure analysis of battery is desirable. Also needed are excellent written and verbal communication skills, as well as demonstrated expertise in developing solutions to challenging technical problems. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1

The Center for Cancer Genomics (CCG) at Dana-Farber Cancer Institute facilitates genomic discoveries in cancer using novel technology platforms to assist researchers in both genome-wide and gene-focused efforts. Technologies are selected and developed with a view to research-oriented ventures, as well as translational medicine and clinical relevance. Our clinical and research environments currently use state-of-the-art massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding of cancer biology, and advance the field of precision cancer medicine. This opportunity offers the chance to work at the forefront of translational cancer technologies and applications, in an informatics group that enables analyses in both arenas. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities The Bioinformatician II will report to CCG's Lead Informaticist and have the main responsibility of independently performing data analysis on a wide array of cancer multiomics projects (sc/sn RNAseq, sc ATACseq, Crispr screens, SNV/CNV, longread Oxford Nanopore Direct RNA sequencing, etc.) in consultation and collaboration with internal Dana-Farber research collaborators and external research partners. Some limited orchestration of automated pipelines may be required as necessary. The Bioinformatician II will have no direct reports. Dana-Farber has a wealth of local, on-premises, and cloud-based computing resources available to extensively explore the large body of data generated annually by Dana-Farber researchers and collaborators. Given these resources, the development of novel computational methods is strongly encouraged. Qualifications MINIMUM JOB QUALIFICATIONS: Minimum Education: Bachelor's degree required in a STEM field. Master's degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master's degree with 1 year experience required; PhD with 0 years. * Experience with bioinformatics tools and databases for sequence alignment/analysis; germline and somatic variant calling; bulk and single-cell/nuclei RNAseq; long read sequencing (Oxford Nanopore). * Proficiency in programming languages commonly used in bioinformatics and data analysis, such as Python, R, and Perl. Experience with workflow languages such as WDL or Nextflow is a plus. * Excellent communication skills and ability to work collaboratively in multi-disciplinary team. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $83,800 - $90,800 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

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

Machine Learning Scientist - LLM Systems for Scientific Discovery About the Team Join the internal AI initiative of a prominent venture studio that has launched 100+ life sciences companies (including Moderna). You'll be part of a ~20-person technical team in Cambridge building advanced LLM and ML systems that accelerate scientific breakthroughs and help launch new AI-first ventures. What Will I Be Doing: Research & prototype novel LLM workflows (agents, reasoning systems, tool-use frameworks) tailored to scientific applications Define success metrics and design custom benchmarks to evaluate AI systems across diverse scientific domains Collaborate with ML engineers to scale promising prototypes into production systems Stay at the frontier by synthesizing state-of-the-art research and validating findings through rigorous experimentation Build feedback loops that incorporate user testing into system development What We're Looking For: PhD in machine learning, computer science, statistics, physics, mathematics, or related quantitative field Research excellence in LLMs or adjacent areas (reasoning/agents, sequence modeling, representation learning, optimization) demonstrated through publications at top venues or impactful work Hands-on ML experience with PyTorch or JAX, including reproducible experiment workflows Strong Python skills and fluency with standard ML tools Ability to work independently while collaborating effectively in a small team Experience building LLM systems: agentic frameworks, RAG, multi-agent simulations, RLHF/DPO, or evaluation methodologies Domain knowledge in chemistry, biology, physics, materials science, or related fields What's in it for me: Competitive Compensation: $140k-$240k dependent on experience Work on originating and fostering breakthrough ventures transforming human health and sustainability Relocation assistance available (typically $10k sign-on bonus) Apply now for immediate consideration!

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 Process R&D Scientist plays a key role in developing and optimizing synthetic routes for complex active pharmaceutical ingredients (APIs). This position conducts small- to large-scale chemical reactions and generates high-quality data that supports project decision-making and innovation. Working under the guidance of technical leads, the role contributes to delivering projects on time, on spec, and within budget. It's an excellent opportunity to deepen expertise while supporting impactful pharmaceutical development. Core Responsibilities: Delivers experimental output with high scientific integrity, meeting targets, timelines, and quality expectations with guidance. Exhibits strong safety awareness, conducts laboratory and operational activities safely, and maintains accountability for safe behavior in the work environment. Maintains technical equipment and related services to ensure proper functionality. Acts on feedback and demonstrates a continuous commitment to learning and professional development. Leads technical and operational areas and supports troubleshooting for complex scientific issues with minimal guidance. Shares knowledge, skills, and experience effectively with internal and external stakeholders; may lead focused projects as a key contact. Keeps accurate, legible, and complete records of all experiments, observations, and equipment use. Writes high-quality reports and delivers presentations to customers and management with some guidance, aligned with project milestones. Contributes to maintaining strong customer relationships and identifies new commercial opportunities. Actively supports the technical development of the department and the broader organization. Ensures all documentation meets Veranova standards; supports audit readiness and participates in regulatory and customer audits as needed; reports near misses and safety incidents per company procedures; and ensures all work complies with applicable state and federal regulations, including GMP, DEA, and FDA requirements. Adheres to all EHS policies and procedures; demonstrates strong technical and procedural proficiency in applying EHS standards; supports EHS audit readiness and participates in audits; reports and cooperates fully in investigations of near misses and incidents; and upholds Veranova's EHS commitments by integrating ISO 14001, OHSAS 18001, and Sustainability 2025 principles into daily work. Performs additional duties within the employee's skills and abilities as reasonably assigned. Qualifications: Required PhD degree (or equivalent experience) in a chemistry related discipline. Proficiency with relevant lab and analytical techniques. Previous industry experience in relevant areas. Proficiency with relevant analytical techniques within an industry environment. Ability to write clear and concise technical reports. Good understanding of Microsoft Office and other relevant technical software platforms. Skilled in written and spoken communication and proven ability to effectively interact with management. Demonstrates good judgment, quick decision-making skills, and the ability to work independently and in a team environment. Special Factors Must be able to stand, walk, and manually operate objects, tools, or controls; reach with hands or arms; and climb, balance, stoop, kneel, or crouch when necessary for the job activity. Must be able to lift and/or move up to 50 pounds. Specific vision abilities include near, distance, peripheral, color perception, and the ability to adjust focus. May regularly work with moving mechanical parts and may work with toxic or caustic chemicals. May work in humid areas with low or high temperatures. May be required to work with a respirator or operate with full-body Tyvek suits and supplied air or PAPR. Salary Range : $105,000 - $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 .

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MUST HAVES: Bachelor's degree in Food Science, Nutrition, or related field (Master's preferred; PhD or PharmD a plus). 5+ years of product development experience from concept to commercialization in nutrition, food, beverage, supplement, nutraceutical, or biotech industries. Previous experience in basic and applied research and development preferably in small/mid-sized nutrition, food, beverage and/or biotech company. Strong background in food science, ingredient interactions, and process impact on nutrient stability. Knowledge of food safety standards and aseptic processing

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 ; 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 1- or via email at . click apply for full job details

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Join a world-class research team dedicated to reducing the impact of natural hazards and climate risks. FM is a market leader in commercial and industrial property insurance and loss prevention, serving over one-third of FORTUNE 1000 companies with engineering-based risk management and property insurance solutions. FM helps clients maintain business continuity through state-of-the-art engineering and research. The Structures and Geohazards Research Group at FM is seeking a creative and self-motivated Senior Research Scientist with a strong foundation in wind engineering and a specialized focus on computational wind engineering (CWE). The ideal candidate will possess deep expertise in fluid dynamics, high-performance computing, and wind tunnel testing, along with a demonstrated ability to conduct innovative, high-impact research. This role is integral to a strategic research initiative aimed at advancing the understanding of wind-related hazards and developing effective mitigation strategies. The successful candidate will contribute to cutting-edge projects that blend computational modeling with experimental validation to address real-world challenges in wind engineering. Responsibilities: Develop computational fluid dynamics (CFD) models to simulate wind flow around buildings and infrastructure, capturing complex aerodynamic interactions. Analyze wind loading on structures using high-resolution simulations; validate results with wind tunnel experiments or field measurements. Collaborate with interdisciplinary teams to incorporate wind effects into risk models, design standards, and resilience strategies. Publish and present research in peer-reviewed journals and at scientific or industry conferences. Contribute to strategic planning and innovation in wind engineering research initiatives. PhD degree. Mechanical, Civil, Aerospace Engineering or related fields. Hands-on experience with CFD software, both open-source (e.g., OpenFOAM) and commercial (e.g., ANSYS Fluent). Proficient in programming languages such as C++, Python, R, MATLAB. Skilled in high-performance computing (HPC) and parallel computing environments. Experience with wind tunnel testing or field measurements is highly desirable. Familiarity with relevant building codes and standards is a plus. Proven track record of publishing high-quality research and effectively communicating complex technical concepts to diverse audiences.Strong problem-solving abilities, creativity, and the capacity to work independently as well as collaboratively. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.