Research scientist jobs in Manchester, NH - 871 jobs

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.

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

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

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

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

Job Title: Scientist, Protein Biochemistry Institute: Institute of Organic Chemistry and Biochemistry (IOCB) Boston Position Type: Full-Time, In-Person / Laboratory-Based Classification: Exempt -- This position is classified as exempt and involves advanced professional duties requiring specialized knowledge in a scientific field. About the Position: The Institute of Organic Chemistry and Biochemistry (IOCB) is expanding its team in the Boston area and is seeking a talented Scientist to join the Drug Discovery team. This is an exciting opportunity to contribute to early pre-clinical drug discovery projects in addition to basic research with a focus on protein biochemistry. The ideal candidate will have hands-on expertise in protein expression and purification, biophysics, molecular biology, and structural biology and a passion for advancing scientific discovery in this lab-based role. Key Responsibilities: Research Support: Under the guidance of Senior Scientist, Drug Discovery, you will collaboratively, and independently design and execute experiments, analyze experimental data, and present findings to both internal teams and external collaborators to support a range of research projects. Collaborative Research: Work closely with interdisciplinary teams to drive scientific discoveries. You will contribute to advancing our protein biochemistry efforts and engage in cutting-edge translational and basic research projects. Method Development: Utilize your expertise to optimize and establish experimental protocols for expression and purification of a variety of interesting target proteins in large scales, supporting biophysical and biochemical assays, protein biochemistry and structural biology. Required Qualifications: · Education: Ph.D. (or equivalent doctoral degree) in Biochemistry or a related scientific discipline. · Experience: 0-3 years of relevant postdoctoral or industry experience. · Laboratory Expertise: Demonstrated interest and aptitude for hands-on laboratory research, particularly in protein production, biochemistry, and biophysics. · Collaboration & Independence: Ability to work effectively both independently and as part of a collaborative research team. Technical Expertise: Protein Biochemistry: Deep expertise in protein expression and purification of soluble and membrane proteins, biochemical assay development, western blotting, structure elucidation of potential hits Biophysics: Binding assay involving any/many of the instruments including SPR, ITC, MST, BLI, fluorescence polarization Molecular Biology: Recombinant DNA cloning, mutagenesis, PCR, Gibson assembly Software Proficiency: Experience with AlphaFold, Pymol, ChimeraX, GraphPad PRISM, Microsoft Word, Excel, PowerPoint, Adobe Illustrator and Python. Preferred Qualifications: Experience with large-scale protein expression using bacterial, insect, and/or mammalian systems, including purification with ÄKTA FPLC. Experience with mammalian cell culture, including stable cell line development. Experience determining protein structures using X-ray crystallography and/or cryo-electron microscopy. Advanced expertise with SPR instrumentation. Record of peer-reviewed publications or significant scientific contributions. Salary Range: $95,000 - 110,000 USD per year. The salary range listed represents IOCB Boston's good faith estimate for this position and is based on factors including, but not limited to, education, experience, skills, internal equity, and market data. Final compensation will be commensurate with qualifications and experience. Benefits: Competitive benefits package including employer-subsidized medical, dental, and vision insurance; transportation contribution; generous paid time off; and company-paid Accidental Death & Dismemberment (AD&D), Short-Term Disability (STD), Long-Term Disability (LTD), and life insurance. Work Authorization/Visa Sponsorship: IOCB Boston does not sponsor employment-based visas for this position. Candidates must be legally authorized to work in the United States at the time of hire and must maintain work authorization throughout the duration of employment without the need for current or future employer sponsorship. Employment eligibility will be verified in accordance with federal law. IOCB Boston participates in the federal E-Verify program. Employment offers are contingent upon the successful completion of a background check conducted in accordance with applicable federal and Massachusetts laws Why Join Us? This is an exciting opportunity to be part of a dynamic, interdisciplinary team focused on transformative scientific discoveries. You will gain valuable experience in protein biochemistry and drug discovery and contribute to high-impact research in a collaborative and innovative environment. TO APPLY: Please email *********************** to express your interest. Include your most recent curriculum vitae or resume as well as a cover letter that describes your interest in this position. Direct applicants only. IOCB Boston does not accept unsolicited resumes from recruitment or employment agencies. Equal Employment Opportunity Statement IOCB Boston is an Equal Opportunity/Affirmative Action Employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, genetic information, or any other status protected by applicable law.

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 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 Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling 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 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 . click apply for full job details

About Us: SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: * A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. * The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. * Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team (AI Research) is seeking an exceptional Machine Learning Scientist to spearhead the development of our Large Language Models (LLM) and advanced AI agents. This role is pivotal in enabling groundbreaking research in machine learning for scientific discovery, particularly in the realm of material science and battery technology. * Harness internal expertise and collaborate with external research labs to advance scientific ML. * Work will be incorporated directly into our groundbreaking Deep Space multi-agent system for battery technology discovery. * This position can be remote. Essential Duties and Responsibilities: * Research & Development * Lead cutting-edge research in machine learning for scientific discovery, with a focus on (multimodal) Large Language Models and their application (including AI agents) in battery and material discovery. * Conduct groundbreaking research on integrating domain-specific data (including literature and internal documents) into LLM training and inference. * Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions. * Model Optimization & Implementation * Troubleshoot and optimize the training process of large language models, addressing complexities and challenges related to data quality, model architecture, and computational efficiency. * Implement innovative solutions to enhance model performance and scalability. * Collaborate closely with a multidisciplinary team to integrate findings into practical AI solutions that contribute to the discovery of new battery materials and the advancement of lithium battery technology. * Collaboration & Communication * Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences. * Engage in machine learning research aimed at addressing battery design challenges and enhancing system ability to interpret data-driven science efficiently. * The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members. Education and/or Experience: * MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a related field, or equivalent practical experience. * Strong foundational knowledge and practical experience in Machine Learning, Deep Learning, and Large Language Models. * Proficiency in programming languages relevant to machine learning, with a strong preference for Python. * Experience with deep learning frameworks such as PyTorch or TensorFlow. * Proficiency in utilizing causal graphs for AI research and application. * A solid track record of innovative research, preferably with published work in relevant areas. * Excellent problem-solving abilities and a passion for tackling complex technical challenges. Preferred Qualifications: * Experience with AI applications in material science or battery technology. * Familiarity with the latest trends and methodologies in AI research, including algorithms such as GRPO.

The Scientist will contribute to Extractables & Leachables studies performed in the E&L laboratory at Boston Analytical to support client submissions. The ideal candidate will have experience operating LC-MS and GC-MS systems for analysis of volatile, semi-volatile, and nonvolatile organic extractables and leachables samples. PRIMARY DUTIES AND RESPONSIBILITIES • Prepares extractions for analysis. • Analysis of sample extract solutions by GC-MS and LC-MS to adequately resolve and identify all compounds. • Coordinate findings with the team to generate conclusions. • Author detailed cGMP report sections for work performed outlining study findings. • Develop analysis methods for drug product leachables testing. • Performs system maintenance and calibrations to ensure equipment is operating with specified requirements. Ensures all work performed strictly adheres to Company, client and Pharmacopial requirements. • Proper handling of hazardous waste in compliance with the Company and DES hazardous waste rules. REQUIREMENTS & QUALIFICATIONS Qualification includes a Ph.D. in Analytical Chemistry with 2+ years' experience or a Master's degree and 4+ years' experience or a Bachelor's with 6+ years' of experience performing and interpreting MS analysis. Knowledge of current Extractable & Leachables guidance (USP, ISO 10993) and best practices preferred. Experience working in a cGMP environment required. MINIMUM SKILLS REQUIREMENTS • Must have the ability and skill to perform the detailed job requirements noted above competently, safely and proficiently. • A self-starter, motivated person who possesses good interpersonal skills capable of effectively interacting with all departments and client personnel. • Must have excellent organizational, verbal communication and technical writing skills. • Must be a team player with integrity and concern for the quality of Company products, services and staff members. • Demonstrated LC-MS and/or GC-MS operation and data interpretation capability. • Ability to develop and optimize HPLC, UPLC, and GC methods. • Documented success managing complex projects to completion within customer expectations for deadline, cost, and overall deliverable

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. • The purpose of this position is to provide support in evaluating various rodent genetic backgrounds in eliciting robust immune response within GBT. • By performing phenotypic analysis of B cell compartment, deep sequencing of B cell repertoire, and studying antibody responses from immunized rodents, we will be able to understand the utility of these animals in biotherapeutic development. • The incumbent, under the supervision by Pharmaceutical scientist, will be involved in the evaluation of the animals through the use of various immunogens, immunization approaches, and characterization method Specific job description: • Perform phenotypic analysis of lymphocyte compartments of rodents • Perform deep sequencing of B cell repertoire of animals and analyze repertoire diversity pre and post immunization • Immunize rodents using various strategies • Characterize antibodies diversity post immunization • Clone and express desired monoclonal antibodies for further analysis Experience: • Knowledge and work experience in the B cell phenotypic analysis by Flow Cytometry • Knowledge and work experience in hybridoma generation • Knowledge and work experience in rodent primary B cell culture • Knowledge and work experience in Ig cloning from B cell • Knowledge and work experience in affinity purification of polyclonal antibodies • Knowledge and work experience in screening and functional assay development for selecting specific monoclonal antibodies • Work experience in NGS of Ig repertoire • Relevant industrial experience is preferred Specific work plan: a) Perform all aspects of phenotypic analysis of lymphocyte compartments of rodents b) Perform, design and analyze B cell repertoire of rodents by deep sequencing c) Perform and design immunization strategies and generate hybridoma d) Evaluate and characterize immune response and monoclonal antibodies from desired rodents e) Contribute to drafting relevant documentation such as immunization protocols, phenotypic and repertoire analysis reports and laboratory methods. Qualifications Bachelor's degree required Additional Information Best Regards, Anuj Mehta ************

Wave seeks Scientist-I for Cambridge, MA location. Duties include: Research Leadership & Competitive Intelligence Conduct competitive intelligence research to evaluate targets for novel RNA therapies. Analyze scientific literature, industry reports, and competitive landscapes to identify novel disease targets and assess feasibility for antisense oligonucleotide (ASO) intervention. (10%) Lead target discovery and validation programs by designing and overseeing experiments that investigate target biology, mechanism of action, and therapeutic potential of ASO candidates. Work closely with cross-functional teams to prioritize and advance promising targets. (10%) Cross-functional & Strategic Leadership Lead and manage multifunctional teams by driving collaboration between Chemistry, Biology, DMPK, and Toxicology teams to develop comprehensive preclinical strategies to advance ASO candidates. Serve as the scientific lead for target programs. (10%) Participate in strategic decision-making with senior leadership on ASO program viability, target selection, and competitive positioning. Present findings to executive stakeholders to shape research priorities. (5%) Preclinical & Translational Research Independently lead and direct preclinical research programs to advance ASO therapeutics for rare and severe neurodegenerative diseases including Ataxias and other CNS indications. Define project scope, experimental strategy, and key milestones. (10%) Manage and prioritize multiple in vivo pharmacology studies by defining study designs, analyzing PK/PD relationships, and driving strategic decision-making for candidate selection and optimization. Serve as primary point of contact for internal and external study partners. (10%) Oversee development of new high-throughput in vitro assays to assess potency, efficacy, and cellular uptake of ASO therapeutics in patient-derived iPSCs, primary neurons, and astrocytes. Establish best practices and improve throughput efficiency. (8%) Regulatory & External Engagement Drive regulatory and scientific documentation, including drafting, reviewing, and finalizing study reports, Standard Operating Procedures (SOPs), and regulatory submissions and ensure compliance with industry standard and regulatory requirements. (10%) Represent company at external scientific meetings, conferences, and partner collaborations to communicate study results, scientific insights, and research milestones. (10%) Mentorship & Innovation Mentor junior scientists, research associates, and cross-functional team members by providing technical guidance, performance feedback, and professional development support. (8%) Drive new technology development initiatives by identifying and implementing novel methodologies for ASO delivery, target engagement, and efficacy assessment. (4%) Laboratory Operations Manage procurement and evaluation of external research tools, reagents, and technologies to optimize lab workflows and support experimental execution. (5%) Position requires MS or foreign equivalent in Biotechnology, Molecular Biology, Neuroscience, Pharmacology, or related field and 4 years' experience in nucleic acid therapeutic research and development of antisense oligonucleotides (ASOs) for central nervous system (CNS) and neurodegenerative disorders. Experience must include the following (may be gained concurrently): 4 years' experience in competitive early stage research and screening of therapeutic targets for RNA and nucleic acid-based medicines to address severe neurodegenerative conditions. 4 years' experience designing and implementing experimental models for therapeutic target evaluation and validation and designing, executing, and analyzing large-scale SAR Relationship (SAR) screens for ASOs utilizing transcriptomic and proteomic approaches to assess RNA-based interventions, optimizing SAR screening conditions across multiple cellular models, identifying lead compounds, and refining lead progression strategies for CNS and neuromuscular disorders. 4 years' experience developing and performing mechanistic studies to assess oligonucleotide activity including transcript and protein-level evaluations using RNA-seq, qPCR, and hybridization-based assays. 4 years' experience leading design and execution of in vitro PD, PK, and biodistribution studies and assessments in mouse models for ASO therapeutic candidates. 4 years' experience working with iPSCs, NPCs, and primary neurons including differentiation into disease-relevant neuronal subtypes for ASO screening and validation. 4 years' experience performing quantitative protein analysis for oligonucleotide therapeutics including ELISA, Western blotting, and amplicon sequencing to measure ASO-mediated protein modulation in CNS and peripheral tissues, and generating RNA and protein analysis workflows such as BRAVO (liquid handler), qPCR and MSD to assess drug-target interactions. 4 years' experience collaborating with cross-functional teams such as chemistry, toxicology, and DMPK groups to optimize lead candidate selection, analyze biodistribution results, and prepare preclinical data packages. 4 years' experience investigating impact of chemical modifications on target engagement, allele selectivity, potency, and duration utilizing stereopure phosphorothioate (PN) chemistry platform. 4 years' experience utilizing amplicon sequencing pipelines to validate allele selectivity in ASO-treated samples including SNP phasing, detection of allele-specific expression, and validation of knockdown selectivity in preclinical disease models. 2 years' experience leading large-scale preclinical oligo PK/PD studies to determine IC50 values, assess drug distribution, target engagement levels, and clearance in CNS and peripheral tissues, and generate critical dose-response data to support ASO therapies preclinical development . 2 years' industry experience preparing and reviewing regulatory documentation, including SOPs, preclinical study reports, and IND filings. 2 years' experience mentoring junior scientists in drug study design, bioassay development, and data interpretation using statistical tools such as GraphPad and JMP and implementing workflow optimizations such as KNIME workflow and ThinkCell software to enhance experimental reproducibility. 1 year experience presenting findings at scientific meetings, and/or external collaborations, including contributions to peer-reviewed publications. 6 months experience applying molecular biology techniques including RNA/DNA extraction, PCR and gel electrophoresis for at least 50 experiments in laboratory setting. 6 months' experience performing computational analysis of sequencing data using BLAST, SnapGene and Primer3 for sequence design and data interpretation. #LI-DNI

Spear Bio, founded in 2021, is a well-funded and rapidly growing biotech start-up headquartered in Woburn, Massachusetts. Our proprietary technology, Successive Proximity Extension Amplification Reaction (SPEAR), is a novel wash-free immunoassay platform, offering unprecedented sensitivity. We are dedicated to revolutionizing early disease diagnosis and monitoring by providing scalable, ultrasensitive solutions that deliver unparalleled accuracy in measuring low-abundant biomarkers, enabling clinicians and researchers to improve patient outcomes and advance global health. Research Associate/Associate Scientist: We are seeking a highly motivated and experienced Research Associate/Associate Scientist to join our growing Assay Development team, with hands-on experience running ultrasensitive immunoassays and the desire to be at the forefront of innovative research. This individual will play a pivotal role in advancing Spear Bio's new range of ultrasensitive immunoassays and assay biomarker programs. This role is based onsite in our lab in Woburn, MA 5 days/wk. Responsibilities: Test and execute immunoassay workflows on high-throughput, semi-automated platforms Assist in optimizing methods for processing different types of biofluid samples (ie. serum, plasma) for assay development Set up, calibrate, and maintain laboratory equipment, as specified by the requirements of various projects Assist in data analysis Acquire necessary equipment and supplies for various projects Qualifications: Master's degree in Biology, Biochemistry, Biophysics, Biomedical Engineering or a related discipline plus 1-3 years of assay development experience in an industry or academic lab Direct experience running biofluid-based immunoassays and qPCR experimentation is required Experience with neurodegenerative disease protein biomarkers a plus (ie. pTau217, pTau181, NFL, GFAP, alpha-synuclein, etc.) Experience characterizing and troubleshooting immunoassays Strong proficiency in molecular biology lab techniques General Qualifications: Self-motivated and ability to perform complex tasks in an effective manner Ability to follow instructions and grow in a mentorship setting Excellent organizational and documentation skills Desire to learn and implement new technologies Strong presentation and interpersonal skills, ability to build collaborative working relationships, and become a key contributor within the assay development team Work 5 days/week on site in Woburn, MA. LOCAL CANDIDATES will be given priority consideration for this position. We offer competitive compensation, meaningful stock ownership, comprehensive benefits, and a great work environment. This is an opportunity to enter an innovative, high-growth startup at an early stage and play an integral role in the company's growth and success. We are focused on identifying candidates who have demonstrated leadership and excellence throughout their careers and are excited by the prospect of building an industry-leading company. Spear Bio Inc. provides equal opportunity in employment to all persons. No person shall be denied equal access because of race, creed, color, religion, national origin, sex, sexual orientation, gender identity, age, or physical/mental disability. Spear Bio does not accept resume submissions from external recruiting agencies. Any unsolicited resumes or candidate information submitted without prior written agreement will be deemed the property of Spear Bio, and no placement fees will be paid.

Yoh presents an excellent long-term Internal Laboratory Testing Coordinator opportunity with a trusted, long-term client located in Waltham, MA. The Yoh resource is expected to apply expertise across several practical skills in support of the Client's Vaccines R&D Global Immunology function. The role is a data scientist who will be participating in various Early Stage Immunology (ESI) project teams to support preclinical and early clinical evaluation of vaccine candidates against various diseases. Work is performed in a collaborative research environment and will involve training in relevant computational tools, databases, and platforms used in vaccine research and development. Responsibilities: * Upon appropriate training, perform QC on electronic notebook data entries by ESI team members to ensure compliance with the requirements. * Structure and format complex biological datasets to ensure consistency and accessibility for analysis. * Assist in tracking sample information and experimental metadata across multiple research projects. * Collaborate with scientists to ensure accurate transfer of laboratory data into appropriate databases and analysis platforms. * Contribute to development of computational models and discovering insights through statistical and algorithmic techniques as needed. * Assist in development and implementation of computational pipelines and analytical methods for processing large immunological datasets from vaccine research and development programs. * Be responsible for analyzing complex biological data from immunological assays. * Get trained and subsequently apply expertise in programming languages (Python/R), statistical analysis tools, and bioinformatics software to process and analyze high-throughput data as required. * Demonstrate a strong commitment to data quality and reproducibility while establishing best practices in computational analysis and promoting robust documentation standards. * Be responsible for data visualization and statistical analysis, as well as maintain organized records of data processing activities and analytical procedures. * Actively participate in the project/group meetings through attendance, presentation of analytical results, and contributing to scientific discussions. May participate in the implementation of analytical pipelines for pre-clinical immunology groups. Education and Experience Requirements: * BS with 2 years of relevant experience in industry or academia, or MS with 1 year of relevant experience in industry or academia. * Degree should be degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or related field. Key Skills, Abilities, and Competencies: * Background in statistics and programming, and coursework in biological sciences. * Basic programming skills in at least one language (Python, R, or similar). * Proficiency in data visualization and analysis using GraphPad Prism and/or Tableau or alternative software. * Strong analytical and problem-solving skills. * Proficient written and verbal skills. * Ability to work effectively in a collaborative team environment. * Understanding of biological concepts, particularly in immunology or related fields is a plus. * Experience in pharmaceutical or biotechnology industry preferred. * Data review * Training * Scheduling * GDP * GRP, compliance requirements for clinical trial samples Estimated Min Rate: $31.50 Estimated Max Rate: $45.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: * Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) * Health Savings Account (HSA) (for employees working 20+ hours per week) * Life & Disability Insurance (for employees working 20+ hours per week) * MetLife Voluntary Benefits * Employee Assistance Program (EAP) * 401K Retirement Savings Plan * Direct Deposit & weekly epayroll * Referral Bonus Programs * Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

Title: Toxicologist The Toxicologist will play a critical role in the assessment of the safety profile of small molecule drug candidates throughout the drug development process. This position requires a deep understanding of toxicological principles, regulatory requirements, and the ability to interpret complex data to inform decision-making. Responsibilities Conduct comprehensive toxicological evaluations of small molecules Analyze data from non-clinical studies to identify potential safety concerns and recommend strategies for risk mitigation. Prepare toxicology sections for regulatory submissions (INDs, NDAs) in accordance with FDA, EMA, and ICH guidelines. This will include liaising with the regulatory agencies related to toxicological data. Participate in project teams to provide expert advice on safety-related issues throughout the product lifecycle. Conduct risk assessments based on toxicological data to support decision-making processes regarding compound progression Profile Ph.D. or equivalent degree in Toxicology, Pharmacology, or a related field Mulitple years experience in the pharmaceutical or biotechnology industry. Small molecules experience Strong knowledge of GLP regulations, ICH guidelines, and FDA/EMA submission requirements. Experience working directly with regulatory agencies is an advantage. Benefits: Competitive salary with performance-based bonuses and comprehensive benefits package Home office option Excellent company culture

Job Description: Senior Computational Biologist Department: Data Science, PIRC Reports to: Director of AI in Drug Development We are seeking a highly motivated and skilled Senior Computational Biologist to join our dynamic data science team. This individual will apply advanced OMICS-oriented analytical methods, statistical modeling, and ML/AI to accelerate discovery and decision-making in support of PIRC's expanding research programs. The ideal candidate will leverage their deep expertise in computational biology, deep learning, and data-driven drug discovery to develop state-of-art solutions. This role involves close, cross-functional collaboration with Immunology, Translational Science, and Biologics teams to build sophisticated algorithms and predictive models that drive our pipeline. The Company: It's not often you get the chance to make a real impact on the lives of others, while expanding your own possibilities. You'll find that rare opportunity at PharmaEssentia. Join us, and let's transform lives, together. PharmaEssentia Corporation is a rapidly growing biopharmaceutical innovator. We are leveraging deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in the areas of hematology and oncology, with one approved product and a diversifying pipeline. We believe in the potential to improve both health and quality of life for patients with limited options today through the combination of rigorous research and innovative thinking. Founded in 2003 by a team of Taiwanese-American executives and renowned scientists from U.S. biotechnology and pharmaceutical companies, today we are listed on the Taipei Exchange (TPEx: 6446) and are expanding our global presence with operations in the U.S., Japan, China and Korea, along with a world-class biologics production facility in Taichung. This role will be in the PharmaEssentia Innovation Research Center (PIRC), the US R&D center for PharmaEssentia. As PIRC is essentially in startup mode with the full backing of PharmaEssentia HQ, this is an exciting time for PIRC and the Data Scientist will have great influence in developing and growing PIRC from the ground floor up. Key Responsibilities Lead multi-omics data analysis across diverse datasets, including genomics, bulk and single-cell transcriptomics, proteomics, metabolomics and pathway analysis, to address critical questions in target identification, prioritization, and translational science Design and implement novel computational modules and frameworks to enable seamless integration and interpretation of multi-omics data, driving insights for R&D Develop and apply machine learning and AI algorithms to uncover patterns and generate predictions from complex biological datasets, and accelerate target discovery and validation efforts Enhance internal cross-disciplinary collaboration with project teams to align computational strategies with project goals and ensure robust biological interpretation of data Establish best practices for data management, quality control, and reproducibility in bioinformatics pipelines, and create intuitive visualizations and detail-oriented reports to communicate findings with stakeholders, enabling data-driven decision-making Continuously evaluate and adopt cutting-edge computational tools, algorithms and technologies to stay at the forefront of the field and enhance data analysis capabilities Contribute to the strategic planning of computational/AI initiatives, influencing the direction of research programs and technological investments Contribute to scientific publications, conference presentations, showcasing advancements in bioinformatics and AI, and their impact on drug discovery and translational research Qualifications Ph.D. in Bioinformatics, Computational Biology, Computer Science or relevant quantitative discipline At least 3-years work experience in combining bioinformatics/computational biology analysis and cutting-edge computational approaches (including ML/AI) for project support in cross-functional biotech or pharma setting. Expertise in multi-omics data analysis and result interpretation (genomics, transcriptomics and sc RNASeq are must, spatial omics and image are plus) Proficiency in Python and R, familiarity with database management A strong understanding of the drug discovery and development, including target identification, lead optimization, translational research, and early clinical development Experience in a therapeutic area relevant to oncology and immunology Working knowledge of traditional machine learning algorithms, Deep learning frameworks and LLM, and their applications in drug discovery EEO Statement: At PharmaEssentia Innovation Research Center (PIRC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. PIRC believes that diversity and inclusion among our team are critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. PIRC does not accept unsolicited agency resumes. Staffing agencies should not send resumes to our HR team or to any PIRC employees. PIRC is not responsible for any fees related to unsolicited resumes from staffing agencies. At PharmaEssentia, our goal is to treat as many people with cancer as possible. That means challenging the status quo with better science that leads to better lives. By joining our team, you will not only expand your own possibilities, but you will contribute to expanding options for people with cancer. **************************************

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 .

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis - to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA. We have immediate openings for Computer Vision and Robotics Research Interns with the following qualification requirements: · Ph.D./M.S student in Computer Science, Electrical Engineering, Robotics, Data Science, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields; · Self-motivated and demonstrated problem solving and critical thinking skills; · Familiar with at least one mainstream deep learning toolkit, e.g., Pytorch, Tensorflow; · Familiar with Python, C++ and OpenCV; · Proven track record of publications in the top computer vision, machine learning and robotics venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, ICRA, IROS, RSS, TPAMI, IJCV, T-RO, and IJRR is a plus; · Experience with 6D pose estimation, 3D visual perception, video understanding, efficient neural reconstruction, and embodied AI is a plus; · Excellent communication skills and team-work spirit. Main Responsibilities · Conduct top-tier research in the area of Computer Vision and Robotics in a collaborative team-working environment; · Working closely with full-time employees to come up with, implement, and verify research ideas; · Fast prototyping, and developing cutting edge AI assets for the company; · Contribute to intellectual properties, strong publications and transferring technologies into practical product solutions; · Be ambitious to change future Healthcare with innovations.

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