Research fellow jobs in Weymouth Town, MA

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 [choose correct set based on focus of role]: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher IMcLean, VA: $214,500 - $244,800 for Applied Researcher INew York, NY: $234,000 - $267,000 for Applied Researcher ISan Francisco, CA: $234,000 - $267,000 for Applied Researcher ISan Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Guggenheim is seeking an exceptional candidate to join as a sell-side Equity Research Associate to help cover the Biotechnology sector. This person will be responsible for following the progress of public/private Biotechnology companies and will support the research team in its efforts to analyze companies and make stock recommendations to institutional investor clients. In addition to a background in the life sciences, the ideal candidate will have a passion for stocks, interest in equity research and financial modeling, specifically in the Biotechnology sectors with a focus on oncology. The position is located in Boston, MA. Essential Job Functions * Provide support to the Senior Analyst through fundamental analysis and investment research in equity markets with an emphasis on original, bottom-up research in the Biotechnology sector * Analyze individual Biotechnology companies to build and update fully integrated financial and valuation models * Write comprehensive research reports and present findings; draft reports/notes on relevant investment themes, events and breaking news * Conduct primary research through industry sources including, but not limited to, financial analysis, due diligence clinical data and industry trends, company management and strategies * Organize physician calls for investors and investor events * Update analyst marketing handout regularly * Interact with Firm's institutional sales force and investor clients * Respond to client and internal inquiries regarding research findings and directives Preferred Qualifications * MD, PhD., or other advanced life sciences degree * 1-3 years of professional industry experience in industry, consulting, or similar * Exceptional analytical, verbal, and written communication skills * Analytical mindset, intellectual curiosity, aptitude for math/statistics Basic Qualifications * Bachelor's degree required * Ability to search, understand and interpret scientific and medical publications and presentations Work Location * Currently, this role is expected to be in the Boston office at least 4 days per week. Salary * Annual base salary between $140,000 and $165,000. * The base salary range represents the low and high end of the anticipated base salary range for this position. Actual base salaries may vary depending on factors such as location and experience. The range listed reflects base salary only, and the total compensation package may include other components such as incentive compensation. About Us: Guggenheim Securities is the investment banking and capital markets business of Guggenheim Partners, a global investment and advisory firm. Guggenheim Securities offers services that fall into four broad categories: Advisory, Financing, Sales and Trading, and Research. Guggenheim Securities is headquartered in New York, with additional offices in Chicago, Boston, Atlanta, San Francisco, and Houston. Guggenheim is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For more information, please visit GuggenheimSecurities.com, follow us on LinkedIn or contact us at ****************************************** or ************. About Us: Guggenheim Securities is the investment banking and capital markets business of Guggenheim Partners, a global investment and advisory firm. Guggenheim Securities offers services that fall into four broad categories: Advisory, Financing, Sales and Trading, and Research. Guggenheim Securities is headquartered in New York, with additional offices in Chicago, Boston, Atlanta, San Francisco, and Houston. For more information, please visit GuggenheimSecurities.com, follow us on LinkedIn or contact us at ****************************************** or ************. Guggenheim Securities, LLC ("GS") does not accept unsolicited resumes or applications. GS considers any resume or application to be unsolicited if (a) received from an entity or individual without a current recruiting agreement with GS or (b) submitted to anyone at the firm other than through the process set forth in the recruiting agreement between GS and the submitting entity or individual, and GS will not pay a fee to any entity or individual for such submission.

Clinical Research Investigator (MD/DO) DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our site in Boston, MA. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligibility to enroll in studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and complies with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical license (MD, DO) - Boston 2 years experience as a Clinical Research Investigator (Principal Investigator or Sub-Investigator) Bilingual Spanish a plus Flexible hours - schedule can be tailored as required.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** Astellas Institute for Regenerative Medicine (AIRM) is a wholly-owned subsidiary of Astellas Pharma Inc and focused on the development and commercialization of stem cell and regenerative medicine therapies. Astellas is an R&D-driven global pharmaceutical company whose philosophy is to contribute to the improvement of people's heath around the world through the provision of innovative and reliable pharmaceutical products. AIRM has a world-class R&D team, and is pursuing a diverse range of disease indications, ranging from macular degeneration (currently in clinical trials) and other ocular indications to vascular and autoimmune disease. AIRM's intellectual property portfolio includes pluripotent stem cell platforms -- both embryonic and induced pluripotent stem cells as well as other cell-based therapy research programs. AIRM is headquartered in Massachusetts. Astellas is announcing a Principal Research Associate, Cytogenomics opportunity at their Astellas Institute for Regenerative Medicine (AIRM) site in Westborough, MA. Purpose: This role fills the critical business need of ensuring compliant laboratory methods within the realm of stem cell therapy development, and biologic and gene therapy quality control, while also making significant scientific contributions and advancing laboratory compliance to improve consistency and efficient delivery of results. The position aims to advance the development of stem cell-based therapies, biologics, and gene therapies across multiple therapeutic areas. Essential Job Responsibilities: Method Development, Qualification and Validation: Support the development, qualification, and validation of methods for the analysis of stem cell products, biologics, and gene therapies, ensuring adherence to GMP standards and regulatory requirements. Documentation Excellence: Establish and maintain compliant documentation practices for all qualification and validation activities, emphasizing meticulous record-keeping and compliance with regulatory guidelines. Scientific Contributions: Make significant scientific contributions to the development of stem cell-based therapies through innovative experimental design, data analysis, and interpretation. Quality Assurance: Implement and maintain a flawless approach to Quality Assurance, including regular audits, process improvements, and adherence to industry best practices. NGS Expertise: Apply expertise in next-generation sequencing (NGS) to characterize stem cell products and elucidate underlying molecular mechanisms. Collaborative Research: Collaborate effectively with cross-functional teams to integrate genomic analyses into broader research initiatives and therapeutic development projects. Continuous Improvement: Drive continuous improvement efforts in assay performance, data analysis workflows, and documentation practices to enhance efficiency, accuracy, and regulatory compliance. Training and Development: Provide training and mentorship to junior team members on method development and validation, documentation practices, and Quality Assurance principles Regulatory Compliance: Ensure all qualification and validation activities comply with relevant regulatory requirements, including FDA and EMA guidelines for cell therapy products

Job DescriptionDescription: About Lux Lux Research is a leading research and advisory firm, helping clients navigate emerging technologies and drive growth through science-driven innovation. We sell to C-level executives in the world's largest companies. Our culture is high-energy, detail-obsessed and relentlessly focused on performance. If you thrive in a fast-paced, demanding environment where results, accountability and engagement matter, join our team for what may be the most rewarding job you have ever had. Role Description Lux Research is seeking a Research Associate specializing in Utilities to help define and advance our vision for the future of innovation in transmission and distribution networks for the power grid. The ideal candidate will possess a strong foundation in a STEM discipline related to utilities-such as electrical engineering, mathematics, power systems engineering, energy systems, or a related technical field-and a passion for applying scientific and technical expertise to strategic innovation questions. As a Research Associate at Lux, you will conduct and lead research that guides clients in understanding technological transformation within grid modernization including technologies enabling the power grid to carry more capacity with increased efficiency. You will develop thought leadership through writing analytical reports on emerging technologies and companies in the transmission and distribution system to deliver actionable insights which support investment, partnership, and strategy decisions for global electric utility leaders. Salary Range: $65,000 - $75,000 Responsibilities: · Lead research on emerging technologies shaping the utilities sector, including renewable integration, grid resilience, storage, electrification, and decarbonization technologies. · Develop and test research hypotheses, synthesize data from diverse sources, and produce findings that help clients navigate innovation opportunities. · Advise and support clients through written deliverables, direct consultations, and presentations, providing clear, evidence-based perspectives on technology and market trends. · Produce high-quality research reports and analyses that connect innovation in utilities to broader sustainability, regulatory, and consumer dynamics. · Represent Lux Research at industry conferences, webinars, and client events as a recognized thought leader in utilities and sustainable energy systems. · Collaborate with analysts across disciplines and geographic regions to deliver integrated insights on cross-sector innovation challenges, including digitalization, infrastructure modernization, and circular resource management. Requirements: Minimum Qualifications: · Bachelor's degree in a STEM field related to utilities (e.g., electrical engineering, energy systems engineering, environmental science, applied physics, or related discipline). · 1-2 years of experience in the utilities, energy, or sustainability sectors, ideally involving technology analysis, R&D, or strategic consulting. · Demonstrated ability to analyze technical and market data, develop original insights, and communicate them effectively to business and technical audiences. · Exceptional writing and presentation skills, with experience crafting incisive, data-driven reports and delivering client presentations. · Strong quantitative and qualitative analytical skills, with the ability to translate complex scientific concepts into business implications. Desired Qualifications A Master's degree is highly preferred, especially with a STEM background in electrical engineering, energy systems, or related disciplines focusing on utilities processes. Intellectual curiosity and a deep interest in innovation, energy transition, and the future of utilities. Entrepreneurial and collaborative mindset, with a willingness to go the extra mile in a fast-paced environment. High degree of organization, attention to detail, and commitment to delivering high-quality research that drives impact. Lux Research is an Equal Opportunity Employer Lux Research is an equal opportunity employer. In accordance with anti-discrimination law, Lux prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Lux Research conforms to the spirit as well as to the letter of all applicable laws and regulations. law. Lux Research conforms to the spirit as well as to the letter of all applicable laws and regulations.

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. Job Description: • Possess a sound knowledge of the chemical principles and concepts of preparing buffers and tissue culture media and aseptic techniques . • Use established procedures (SOP's) and based on experience, training, and education, interpret complex methodologies (Protocols) provided by scientists. • Utilize good laboratory practices while applying technical expertise to formulate buffers and tissue culture solutions. • Independently perform work in a controlled laboratory environment. May assist others in completing their work. • Document all work utilizing Media Prep Worksheet • Maintain appropriate records pertaining to solution preparation in a fashion that allows for easy data retrieval. • Assist the team with the documentation such as records, reports and worksheets. • Assist with the shipping logistics of the buffer and media solutions. • Perform other applicable duties as deemed appropriate by lab supervisor / manager. Qualifications Additional Skills: 2+ years experience with laboratory operations in a hospital or pharmaceutical setting. Additional Information For more information, please contact Sneha Shrivastava ************

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company focuses on new therapeutic approaches for the treatment of diabetes, obesity and cardiometabolic diseases. Starting from an idea, we work with partners across Lilly to discover and develop novel biologic, small molecule and nucleic acid-based therapeutics. Our focus is the patient: by understanding the biology and pathophysiology underlying disease states, we aim to address the root cause of disease, and develop breakthrough therapies. We have one of the strongest pipelines in the industry and a track record of delivering impactful medicines that improve people's lives. Are you a computational scientist passionate about addressing some of the most pressing global health challenges of our time? Do you stay current with the latest advances in metabolic disease research and obesity pathophysiology? Are you eager to apply pioneering computational and statistical approaches to analyze multi-omics data and unravel the complex biology of obesity, adipose tissue function and metabolic dysregulation? The computational biology role within DOCTA is an exciting opportunity for a team-oriented scientist with deep expertise in obesity biology and computation methods to drive therapeutic discovery in metabolic diseases. In this hands-on role, you will work cross-functionally with researchers across DOCTA to design and implement multi-omic studies specifically focused on obesity pathophysiology, energy regulation, adipose tissue biology, metabolic pathway dysregulation and CNS pathways concerning obesity. You will collaborate closely with experimental project leads and scientific domain experts to drive scientific discovery through the comprehensive analysis of single-cell genomics data from preclinical models and human studies. In this role, you will not only apply established computational methods to understand obesity pathophysiology and identify novel therapeutic targets in metabolic pathways, but also pioneer the application of innovative AI/ML approaches to extract deeper biological insights from complex multi-modal datasets. The successful candidate will have the opportunity to directly impact the DOCTA pipeline, ultimately driving the scientific field forward and bringing innovative therapies to patients. Key Responsibilities: Design and complete studies using omics-related data sources, including RNA-seq, spatial transcriptomics, single-cell omics, proteomics, functional genomics, metabolomics, and more. Integrate standard analytical approaches as well as emerging AI/ML models to answer scientific questions of high-dimensional data Partner with discovery statistics team to create novel analytical frameworks for high-throughput studies and develop specialized methodologies to enhance insights from small-sample datasets. Stay up-to-date on current technical and scientific advances through deep understanding of the literature and attendance of relevant technical and disease-related conferences Clearly communicate complex results to cross-functional partners in a prompt and transparent manner Perform ad-hoc bioinformatics analyses and data visualizations as needed Work collaboratively with other Data Sciences and Computational Biology (DSCB) scientists to develop innovative, best in class computational workflows and data repositories for advanced analyses Engage in code and documentation review within the team and across other teams within the DSCB team Adhere to industry-standard protocols for scientific project documentation Basic Requirements: PhD or equivalent in Computational Biology, Bioinformatics, Biomedical Informatics, or related field with 2+ years of experience post-PhD in relevant disease area. Additional Skills/Preferences: Strong track record of execution of computational biology and/or bioinformatics-based projects, potentially including RNA-seq, metabolomics, multi-omics, human genetics, proteomics, AI/ML, and other related research modalities required Prior experience and deep expertise in obesity and related areas, preferably with data from preclinical models, patient cohorts or cell lines preferred Expertise in programming languages including R and Python and experience with workflow management systems such as Nextflow required Experience developing production-grade bioinformatics pipelines, including working with standardized workflow tools preferred Experience with implementation and maintenance of industry-standard documentation practices including Git, Confluence, JIRA, or equivalent preferred Ability to prioritize and manage multiple competing priorities within a fast-paced environment required The ability to communicate complex scientific and computational concepts to non-computational and non-scientist audiences required Ability to represent the DOCTA DSCB team internally and externally required Strongly team-oriented thinking mentality required Prior industry experience preferred Experience with scalable cloud computing platforms (e.g. Databricks, AWS) and big data analytics frameworks preferred Experience with containerized technologies (e.g. Docker) for computational reproducibility preferred Knowledge of human genetics preferred Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $138,000 - $224,400 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Computational Biologist, Principal Scientist - CVRI The Computational Biologist is responsible for the evaluation of therapeutic hypotheses via integration and quantitative analyses of internal & external multi-omics data sources (DNA, RNA, proteomics, metabolomics, imaging, etc) for CardioVascular, renal and immunology Therapeutic Areas. Significant contributions to innovative research and development projects or collaborations, such as: identifying new targets with multi-omics evidence; assessing the link between targets and disease biology; proposing pharmacodynamic, efficacy or selection biomarkers; evaluating biomarker hypotheses from clinical trial specimens; assessing novel technologies; supporting therapeutic lifecycle management. Adopts and contributes to Best Practices for novel technologies, quantitative analyses, visualizations, and biological insight generation from multi-omics data sources. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of the Computational Biologist are to: * Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA, proteomics, metabolomics, imaging, etc); * Contribute to Project Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, or patient selection hypotheses. These contributions use state-of-the art computational biology methods to analyze large and complex human data sets; * Deliver biological insights on therapeutic assets and disease biology understanding to Project Teams, who apply these insights towards stage-gate decisions, portfolio prioritization, and/or submissions to Health Authorities; * Educate Project Teams on innovations in disease understanding in the CardioVascular, renal and immunology Therapeutic Areas; * Develop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, and interpretation of multi-omics data. Demonstrate a growth mindset towards updating Best Practices with the emergence of new experimental or computational technologies; * Build cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and data science communities of experts. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required Qualifications: * PhD degree with post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * Demonstrated experience in statistical analysis of DNA-seq, RNA-seq, proteomics, single-cell, or imaging datasets with proficiency in a programming environment (such as R or Python); * Demonstrated hands-on experience in analysis of large scale proteomics, metabolomics datasets; * Demonstrated peer-reviewed publications in computational biology; * Expert level of proficiency to choose fit-for-purpose quantitative analyses; * Strong analytical thinking and scientific rigor; * Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to broad audiences and key stakeholders across multiple functions or to external partners; * Learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others; * Evidence of providing tactical and strategic guidance to the pharma portfolio or data science ecosystem; * Demonstrated ability to propose, catalyze, and implement the development of interdisciplinary, systematic solutions that create business value; * Capability to present even very complex issues clearly and convincingly to project teams or decision bodies. Good communication skills. Can manage a high degree of complexity; * Demonstrates advanced business acumen, people and project leadership competencies, and technical expertise. Preferred Qualifications: * 5+ years of post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * 3+ years industry experience in drug development or biotech role with clear understanding of applying multi-omics data analyses to advance a portfolio of drug discovery or clinical development projects. Employees can expect to be paid a salary between $124,864.80 - $187,297.20. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least 11/05/2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location:United States : Massachusetts : Cambridge Division:Pharmaceuticals Reference Code:855418 Contact Us Email:hrop_*************

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

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

About Somite Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models for human stem cells to drive novel cell therapies at scale. We take a full-stack approach - generating data at 1,000x lower cost, training large-scale models with unmatched predictive power, and using these models to discover, refine, and optimize high-impact applications in cell therapy. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT (pioneered the foundational research on scaling laws), and three Harvard Medical School professors and National Academy of Sciences/Medicine members, including the Chair of the Genetics Department at HMS. Based in Boston and launching operations in January 2024, Somite has raised close to $60M to date (Forbes). Somite's Core Values: We show up - fully accountable, all-in, doing whatever it takes We act with urgency - swift, decisive, proactive We support one another - collaborative, helpful, empathetic Location: Boston, MA (onsite, full-time) About the Role: As a Senior Computational Biologist, you will play a key role in creating pipelines, models and performing research over large scale single cell datasets. This role is ideal for someone who is passionate about large-scale transcriptomic data that will be used to create groundbreaking cell replacement technologies. You will work at the intersection of developmental biological research, data science, and software development, contributing to single-cell and spatial transcriptomics analysis, translating scientific discoveries into cutting edge cell replacement therapies. Responsibilities: Drive new research directions at the interface of bioinformatics and AI-powered stem cell biology Develop and optimize computational biology pipelines for preprocessing, analysis, modeling and interpretation of high-dimensional transcriptomic data Stay at the forefront of computational biology, keeping up with state-of-the-art techniques in developmental biology, single-cell multi-modal analysis and spatial transcriptomics Operate autonomously in a fast-moving startup, helping shape Somite's computational biology roadmap Mentor and provide technical guidance to team members, fostering collaboration and knowledge sharing across disciplines Collaborate closely with other computational biologists, machine learning researchers, and software engineers to build robust, scalable solutions Qualifications: PhD in Computational Biology, Bioinformatics, Computer Science, or a related field 3+ years of experience analyzing large-scale genomic and transcriptomic datasets, such as single cell RNA-seq and spatial omics Solid computational and statistical skills, with demonstrated experience in high-dimensional biological data analysis Strong programming skills and experience developing robust products, preferably in Python Passion for data-driven biology and its potential to transform healthcare Preferred Qualifications: Strong domain knowledge in developmental biology or stem cell research (highly advantageous) 2+ years of experience in non-academic industry setting Prior experience in a startup or fast-paced environment Experience in machine learning, and and developing models over biological data Strong publication record in top journals Benefits: Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions Work alongside a talented and passionate team at the forefront of AI and cellular biology Contribute to the development of groundbreaking therapies that address significant unmet medical needs Enjoy a competitive salary and benefits package, including flexible work options Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed. Join us and help unlock the full potential of AI for the benefit of human health! Somite is committed to equal employment opportunity and non-discrimination for all employees and applicants regardless of race, color, ancestry, sex, sexual orientation, age, religion, national origin, ancestry, genetic information, disability, veteran status, marital status, citizenship status, or any characteristic protected under applicable law.

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. ************************************** Powered by JazzHR Qxw3iqJodz

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

Applied Researcher II (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** Astellas Institute for Regenerative Medicine (AIRM) is a wholly-owned subsidiary of Astellas Pharma Inc and focused on the development and commercialization of stem cell and regenerative medicine therapies. Astellas is an R&D-driven global pharmaceutical company whose philosophy is to contribute to the improvement of people's heath around the world through the provision of innovative and reliable pharmaceutical products. AIRM has a world-class R&D team, and is pursuing a diverse range of disease indications, ranging from macular degeneration (currently in clinical trials) and other ocular indications to vascular and autoimmune disease. AIRM's intellectual property portfolio includes pluripotent stem cell platforms -- both embryonic and induced pluripotent stem cells as well as other cell-based therapy research programs. AIRM is headquartered in Massachusetts. Astellas is announcing a Principal Research Associate, Cytogenomics opportunity at their Astellas Institute for Regenerative Medicine (AIRM) site in Westborough, MA. Purpose: This role fills the critical business need of ensuring compliant laboratory methods within the realm of stem cell therapy development, and biologic and gene therapy quality control, while also making significant scientific contributions and advancing laboratory compliance to improve consistency and efficient delivery of results. The position aims to advance the development of stem cell-based therapies, biologics, and gene therapies across multiple therapeutic areas. Essential Job Responsibilities: * Method Development, Qualification and Validation: Support the development, qualification, and validation of methods for the analysis of stem cell products, biologics, and gene therapies, ensuring adherence to GMP standards and regulatory requirements. * Documentation Excellence: Establish and maintain compliant documentation practices for all qualification and validation activities, emphasizing meticulous record-keeping and compliance with regulatory guidelines. * Scientific Contributions: Make significant scientific contributions to the development of stem cell-based therapies through innovative experimental design, data analysis, and interpretation. * Quality Assurance: Implement and maintain a flawless approach to Quality Assurance, including regular audits, process improvements, and adherence to industry best practices. * NGS Expertise: Apply expertise in next-generation sequencing (NGS) to characterize stem cell products and elucidate underlying molecular mechanisms. * Collaborative Research: Collaborate effectively with cross-functional teams to integrate genomic analyses into broader research initiatives and therapeutic development projects. * Continuous Improvement: Drive continuous improvement efforts in assay performance, data analysis workflows, and documentation practices to enhance efficiency, accuracy, and regulatory compliance. * Training and Development: Provide training and mentorship to junior team members on method development and validation, documentation practices, and Quality Assurance principles * Regulatory Compliance: Ensure all qualification and validation activities comply with relevant regulatory requirements, including FDA and EMA guidelines for cell therapy products

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. Job Description: • Responsible for the execution and analysis of experiments and analytical procedures. • Investigates basic technical problems and performs routine scientific procedures and experiments under general supervision. • Plans and prioritizes concurrent experimental procedures. • Integrates, complies, and tabulates data and assists supervisor in the analysis and interpretation of the results. • May provide oral presentations on results to other department members. • Works under active supervision. • Follows established procedures. • Work is reviewed for soundness of technical judgment and overall adequacy and accuracy. • Contributes to the completion of milestones associated with specific projects. • Failure to achieve results or erroneous execution may cause delays in program schedules, and may result in the allocation of additional resources. • Frequent internal company contacts. Infrequent inter- departmental and outside constituent contacts on routine matters. Experience: • 0 to 3 years. Skills: • The Commercial Cell Culture Development (CCCD) department is responsible for the development, characterization, scale-up, and transfer of cell culture processes for late stage clinical and commercial manufacturing of therapeutic proteins and antibodies. • In addition, the department provides technical expertise and support for improving the performance of commercial manufacturing processes. • Department is seeking to employ a motivated individual for a 12-month temporary position. • This individual will work with a team of scientists and engineers to develop/optimize mammalian cell culture processes. • Responsibilities include conducting cell culture experiments using small scale (i.e. shake flasks, spin tubes, well plates) platforms and bench top bioreactors, running biochemical assays, and performing routine lab duties. • The individual will also be responsible for designing experiments, monitoring cell culture parameters and documenting all studies. • Experience in a basic biology lab setting, including aseptic techniques is a plus. • Excellent oral and written communication skills are required. • Must be able to work well independently and contribute as a member of a team. Qualifications Education: • The candidate should have a B.S. degree in Biology, Bioengineering, or related field and a minimum of 1 year of molecular biology and/or mammalian cell culture laboratory experience. • Candidate must have excellent organizational skills and be able to work as part of a team. Additional Information For more information, Please contact Rakshak singhal ************

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

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to develop and apply cutting-edge genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics. We are looking for a person who wants to lead their projects, think independently and make original intellectual contributions. We welcome all levels of input from our ACBs, including input on the conduct of analyses but also on new analyses to conduct and new questions to ask. ACBs in our laboratory regularly present their own work and contribute to the writing of papers and grant applications. We view an ACB as a mentored training position, with a primary goal being their professional development. Our prior ACBs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry. The ideal candidate will have extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The candidate is required to have a B.S./B.A. or equivalent, ideally in the life sciences, physical sciences, or computational sciences; prior research in one of these areas (for example, a summer research program or several hours a week in a lab as an undergraduate); a strong background in programming, preferably in R and BASH; knowledge of statistical methods either through coursework or research; and excellent written & verbal communication skills. They must be a self-starter with excellent problem-solving, organizational and people skills and be able to collaborate closely with other members of a research team. We prefer the candidate to have exposure to an analytic field such as bioinformatics, computational biology, machine learning, or statistics and experience working in cloud computing and UNIX environments. A minimum 2 year commitment is required. Ideally we are looking for someone to join our lab before March 2026 but we are also considering applicants who will complete their current degree program in Spring 2026. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities * Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor. * Data Analysis: Follows a detailed manual to perform routine. * Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. * Manuscript Preparation: Helps prepare tables and figures. * Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly. Qualifications MINIMUM JOB QUALIFICATIONS: Minimum Education: Bachelor's degree required in a STEM field required. Minimum Experience: No prior experience required. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: * Computational Skills: Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R. * Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. * Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight. * Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts. * Excellent analytical, organizational and time management skills. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $60,000 - $67,466 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster