Research scientist jobs in Andover, 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.

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 .

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!

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

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 **********************

Job Title: DMPK Principal Scientist Duration: 12 Months TOP SKILLS PER MGR: Project facing role (3+ years) ADME or PKPD subject matter expert Someone with relevant publications/abstracts that speak to metabolism/drug interaction/PKPD modeling. PURPOSE: The Sr. Scientist will act as a DMPK project representative and provide scientific leadership in the discovery of small molecule drug candidates by integrating DMPK strategy to progress drug discovery projects across several therapeutic areas. This will be achieved by proposing and leading internal and external research efforts to support project goals. The Sr. Scientist will work closely with pharmacology and medicinal chemistry team, lead DMPK efforts to optimize molecules across a variety of therapeutic areas utilizing in vitro, in vivo, and in silico methods and models to generate novel chemical matter with drug-like properties. The sr scientist will collaborate with outsourcing managers to identify and manage CROs with specialized ADME capabilities, and build and maintain relationships with global Client ADME experts to leverage expertise and harmonize ADME strategy. The individual will be seen across the company and to be viewed externally as a method/subject expert within small molecule DMPK RELATIONSHIPS: Reports to the head of the relevant DMPK department at Client Internal relationships include working closely with technical staff & other members of the scientific leadership team; regular collaborations with members of other research departments at NNRCSI; & frequent interaction with project managers & other colleagues across global R&D. Individual may direct the work of other staff members. Individual will interact with external research collaborators both academia- & industry-based. ESSENTIAL FUNCTIONS: Function as DMPK project representative for global, cross-functional small molecule project teams to achieve project goals Provide expert-level guidance to experimental plans and data interpretation with a strong expertise in either ADME/PK/DDI or PK/PD modeling and simulation Troubleshoot highly complex tasks through independent and team-based efforts Demonstrate deep subject matter expertise and in-depth experience, as well as creative, independent thinking and solutions for addressing critical scientific questions Make independent decisions related to day-to-day experimental activities Work closely with CROs to assume responsibility for DMPK experimental design, implementation, and interpretation Analyze complex data with high degree of sophistication, connect disparate datasets to reach conclusions, and communicate project updates and experimental results to relevant stakeholders Ensure proper documentation of all experiments and data Collaborative teamwork Communicate regularly with international colleagues within Client Actively participate in cross-functional teams and meetings to drive project success Achieve business goals, share learnings, knowledge and skills & promote cross-functional teamwork Share knowledge & expertise to expand team capabilities and goals Demonstrate superior cross-cultural understanding to effectively interact with relevant stakeholders in the global organization Write and review collaborative research manuscripts, project documents, and milestone documents Complete assignments requiring expert-level knowledge of techniques and practices related to the research area Represent the organization as NN-subject matter expert by attending and presenting at scientific conferences and global meetings QUALIFICATIONS: Bachelor 's Degree within subject matter expertise required. 18+ years' relevant experience required, or a master's degree with 12+ years' relevant experience, or a Doctoral degree in with 6+ years' post-doctoral and/or industry relevant experience can be considered. Relevant required experience includes: Excellent understanding of ADME principals with knowledge of PK/PD modeling or biotransformation highly desirable Preferred experience includes: Prior experience working in a fully or hybrid ADME-outsourced models Demonstrates excellent verbal and written communication skills.

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

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

. You will be responsible for scientific oversight, data integrity and quality of clinical trial(s) in support of the development strategy for programs within the Late-Stage Oncology portfolio. KEY RESPONSIBILITIES Clinical development expert for assigned studies maintaining current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment. Effectively partner with other clinical and medical colleagues, clinical operations and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program. Responsible for scientific oversight, data integrity and quality of the clinical trial(s). Represent the study team in governance meetings and submissions, partners with/supports the Development lead/Medical Director regarding study and disease area strategy. Author protocols, study level informed consent documents, and contributes to authoring of IBs, site training materials, clinical study reports, regulatory responses, and other clinical and regulatory documents; supports preparations for Health Authority meetings, participates as appropriate. Set the clinical data review strategy and leads the team in the collection of quality data and review of emerging clinical data and trends; reviews and queries data; presents and discusses relevant data to appropriate teams, governance bodies, and other internal and external stakeholders. In close partnership with medically qualified colleague/s, analyze the emerging safety profile of the drug, keeping the clinical and safety colleagues informed of changes in the safety profile as they occur in the assigned trial(s). Follow relevant SOPs and regulations, has an excellent understanding of and complies with applicable trainings, seeks opportunities to further improve quality and efficiency of clinical procedures; leads or actively participates in portfolio- and enterprise level workgroups aimed at optimizing PFE clinical development procedures; may be a subject matter expert or business process owner for a relevant SOP or procedure. MINIMUM QUALIFICATIONS PhD/Pharm D in a relevant Science discipline and minimum of 5 years Clinical Research experience in industry/CRO, OR MS in a relevant Science discipline and minimum of 7 years of Clinical Research experience in industry/CRO OR BA/BS in a relevant Science discipline and minimum of 10 years Clinical Research experience in a similar role in industry/CRO Clinical Research experience in the phase 3/pivotal space in Oncology, ideally on the side of the sponsor and with a track record of successful regulatory submission, inspection, and regulatory approval Excellent knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations Extensive understanding of related disciplines, e.g., Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-clinical, Pharmacology, Quality Assurance Experience working on large data sets Proficiency with Microsoft Office and relevant scientific software Effective communication, presentation, and organizational skills to ensure coordinated and timely delivery Experience leveraging a variety of communication tools and techniques to communicate results Experience solving problems collaboratively and handling conflict constructively Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations Experience working proactively and independently, organizing tasks, time and priorities of self and others Experience building partnerships across the company to achieve the needs of the program PREFERRED QUALIFICATIONS Experience in Hematology Oncology COMPETENCIES FOR SUCCESS Demonstrates passion for helping patients with cancer and for the science of oncology Flexibility to adapt and navigate through an ever-changing work environment while maintaining integrity and quality in the work assigned Demonstrates autonomous delivery, problem-solving, and agile decision-making in execution of Clinical responsibilities Promotes team health and exemplifies Pfizer's leadership behaviors and actionable attitudes Leverages knowledge and support from others related to overall objectives, strategy, critical issues, and policies Demonstrates foresight and judgment to make complex decisions Promotes innovation and takes appropriate risks to challenge the status quo in order to enhance the efficiency of current processes Embraces evolving technologies and adopts best practices aimed at improving the efficiency and quality of clinical development Has a global perspective and mindset. Works well in a diverse team environment with colleagues from diverse cultures, backgrounds, and geographies. both as a leader and a key contributor Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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 . 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.

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

🌍 Machine Learning Scientist | Applied ML / Deep Science | NYC A leading science-driven venture group is building a high-impact applied ML team - and they're looking for a Machine Learning Scientist to join them. This is the kind of environment where new scientific platforms are born, supported by serious domain expertise across biology, chemistry, materials and more. About the role You'll design cutting-edge LLM workflows, build custom evaluation frameworks, and turn early prototypes into scalable systems that shape how scientific discovery happens. 💡 What you'll work on Create and test LLM reasoning, planning and tool-use workflows Build and benchmark models with rigorous, domain-aware evaluations Scale prototypes and integrate production-ready feedback loops with scientists and engineers 🚀 What they value Curiosity and depth in applied ML Strong experimentation habits and clear thinking around evals Ability to work closely with multidisciplinary teams in a high-ambition environment If this sounds interesting, drop me a message and we'll arrange a chat.

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 .

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

You will lead and coordinate the development of multiple studies of novel biological and small molecules for first in human (FIH), proof of mechanism (POM), early signs of efficacy (ESOE) and proof of concept (POC) studies in Oncology. You will work in close collaboration with the Global Development Lead (GDL)and members of the development team to establish, lead, coordinate, and execute the early oncology clinical development plan(s). You will lead the development of the clinical protocol and participate as an individual contributor on clinical teams with Pfizer development operations and the project team, to meet enrollment and study delivery timelines. You will also work with other functional disciples to ensure the full scope and remit of Oncology Early Stage Development (OESD) is represented as need within clinical study teams (e.g. Research Units, Biostatistics, Clinical Pharmacology, Precision Medicine, and Digital Medicine). POSITION RESPONSIBILITIES Partner closely with the Global Development Lead (GDL) in the execution of the clinical development strategy and plan for the assigned molecule(s)/indication(s) Responsible for scientific leadership and execution of clinical studies and delivering on innovative clinical study designs, high quality trial execution, safety assessment and interpretation of clinical study results Support execution for all FIH programs through proof-of concept Set the clinical data review strategy, ensure quality data and conduct review of emerging clinical data and trends; review and query data; present and discusse relevant data to appropriate teams, governance bodies, and other internal and external stakeholders Conduct data review, analysis and interpretation of clinical trials data together with the GDL, Clinical Safety, and Biostatistics. Serve as technical resource for clinical issues raised by internal and external collaborators, investigators, consultants and contractors Support and assist in the development of publications, abstracts, and presentations May sit on project teams to support clinical development implementation and contribution to key development milestones, e.g. start-up and delivery of ESoE and PoC trials. Participate in project teams to help implement clinical development and contribute to key milestones (e.g., start-up and delivery of early signs of efficacy [ESoE] and POC trials). Lead the preparation of clinical protocols and support other critical documents including clinical development plans, INDs, annual reports, clinical study reports (CSRs), investigator brochures, statistical analysis plans, and regulatory documents. Foster a transparent environment that builds strong partnerships and mutual trust among teams and therapeutic areas. Coordinate with other clinical research activities within Oncology Research Development (ORD) and the broader Worldwide Research and Development (WRD) organization. Develop effective collaborations with key internal and external partners, such as project leaders, research units, biostatistics, regulatory affairs, clinical pharmacology, human genetics, translational oncology, precision medicine, and development operations. Partner with Translational Oncology and Biomarker teams to ensure biomarker plans are integrated into relevant programs for early efficacy signs and POC, as well as patient stratification. Establish and support relationships with external experts, consultants, key opinion leaders, regulators, and investigator networks to integrate the latest clinical thinking and guidelines into development plans and study designs, as well as manage study recruitment, analysis, interpretation, and presentation of results. Maintain up-to-date knowledge of scientific and clinical literature in relevant therapeutic areas, including key clinical development issues. Perform other duties as assigned related to clinical programs. Support functional area priorities and contribute to or lead departmental initiatives as requested. MINIMUM QUALIFICATIONS / KEY SKILLS Relevant PhD or PharmD and a minimum of 5 years of experience in a similar role in industry/CRO, OR MS and a minimum of 7 years of experience in a similar role in industry/CRO, OR BA/BS and a minimum of 10 years of experience in a similar role in industry/CRO Clinical Research experience in Phase 1 in Oncology, on the side of the sponsor leading studies Experience in or strong understanding of Oncology Drug Development especially in Early Development Strong knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations. Strong scientific writing skills and communication skills (written and verbal) Clinical document writing experience (e.g., protocol, ICD, IB, IND), as well as understanding complex data analysis. Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations. Experience working with and solid understanding of related disciplines, e.g., Clinical Operations, Data Management, Safety, Biostatistics, Regulatory, Study Management, Pre-Clinical, Pharmacology, Quality Assurance. Experience building consensus and driving change across all levels of the organization including senior management. Data listing review experience Critical thinker, with experience working collaboratively in a fast-paced, team-based matrix environment as well as working independently when appropriate Experience performing complex data analyses using JReview, SpotFire, SOCs-PRO or other similar platform PREFERRED QUALIFICATION Experience leading a team Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Perform complex data analysis NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS 5-10% Travel Work Location Assignment: Hybrid The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

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. 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