Senior principal scientist jobs in Bayonne, NJ - 875 jobs

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

We are seeking an Analytical Scientist to join a reputable pharmaceutical manufacturing company to conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. ** No Relocation, No C2C Candidates** Pay: Up to $45/hour. RESPONSIBILITIES: Conduct and document chemical analyses for raw materials, in-process goods, and finished products. Design, validate, and resolve issues with analytical methods, including HPLC for cleaning verification. Collect and analyze equipment cleaning validation samples. Prepare Certificates of Analysis, analytical reports, and maintain lab documentation. Peer-review records and support OOS or OOT investigations as per SOPs. Ensure compliance with SOPs, cGMPs, and regulatory requirements. Assist with environmental monitoring and other tasks as assigned. QUALIFICATIONS: 2 years hands-on method development experience (HPLC) Knowledge of cGMPs, pharmacopeia (USP, EP), and regulatory standards (21 CFR Part 210/211/820, ISO). Bachelor's in Chemistry-related discipline with 2+ years of analytical lab experience. This job description is a complete list of all desired skills, but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you!

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities Takes a lead role in preparation and project management of individual and multi-investigator proposals; Provides advice on grantsmanship, editorial support and standardized language for administrative sections; Identifies opportunities for funding Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables; Provides draft preparation, review and revision of grants and scientific writing. Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission. Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials. Interacts with lab members to independently develop new grant proposals. Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data. Assists in the design and planning of functional genomics and genetic perturbation experiments; and, Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): PhD in genetics, genomics, cancer biology, neuroscience or related discipline required; 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable; Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications; Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required; Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred; Experience with standard grant development concepts, practices, and procedures in a research environment preferred; Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays; Ability to collaborate with diverse teams of investigators and administrative personnel required; and, Strong project management skills and experience required. Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr

Astera Cancer Care East Brunswick/Monroe, NJ Job Details: Occupation: Physician Specialty: Hematology Employment: Full-Time Opportunity: Private Practice, Outpatient/Inpatient Board Certifications: BC Degree: MD/DO Ideal Candidate: Early to mid-career clinical researcher with a strong background in providing direct patient care and conducting clinical research in CAR-T Cell Therapy Leadership opportunity for someone who is passionate about advancing cutting-edge cellular therapies in oncology About the Role: Astera Cancer Care is seeking a Director of CAR-T Cell Therapy to conduct clinical research and manage patients. This includes overseeing patient selection, treatment planning, and post-infusion care to ensure optimal outcomes. The Director will lead a multidisciplinary team of nurses, pharmacists, and coordinators, fostering collaboration across all aspects of care delivery. In addition to clinical responsibilities, the role balances strategic oversight with program development, quality assurance, and operational planning. About the Area: East Brunswick, New Jersey, offers a family-friendly suburban lifestyle with top-rated public schools, diverse communities, and convenient access to New York City and Philadelphia via major highways and public transit. Residents enjoy a mix of green spaces, parks, and recreational amenities like Crystal Springs Waterpark, along with a variety of shopping and dining options. The area is known for its safety and cultural richness, making it an attractive place for families and professionals. Recruitment Package: Top-Tier Compensation: Benefit from highly competitive compensation structures. No cap on earning potential. Exact compensation may vary based on skills, experience, and location. Professional Growth: Enjoy CME reimbursement to further your education and skills. Comprehensive Benefits: Full employee benefits include: Medical, Dental, Vision, Short-Term and Long-Term Disability, Life, and Accidental Death. Secure Future: Robust retirement savings plan. Peace of Mind: We cover your malpractice insurance. Future Stability: Partnership opportunity offered. Work-Life Balance: Paid time off, to ensure you maintain a healthy work-life balance. Community Care: Make a real difference by caring for patients in their local communities. Career Advancement: Seize leadership opportunities for career growth within our organization. Innovative Research: Enroll patients in cutting-edge clinical trials. Academic Excellence: Present and participate in research at prestigious conferences. Supportive Environment: Join a physician-led and managed organization that values clinical autonomy, work-life balance, and quality patient care while prioritizing your professional development and well-being. About the Practice and their Mission: Astera Cancer Care is a physician-owned multi-specialty community oncology practice delivering high-quality, coordinated, patient-centered cancer care. At Astera Cancer Care, their mission is to transform cancer care and the care and management of blood disorders with patient-focused, research-based treatment guided by compassion. Their team of multidisciplinary experts works together to improve the patient experience and provide efficient access to care, minimizing the clinical, financial, and emotional barriers that patients face. The practice offers Hematology/Medical Oncology, Breast Surgery, Palliative Care, Radiation Oncology, and Clinical Trials & Research Programs. Astera Cancer Care is a proud partner of OneOncology. OneOncology is a national partnership of leading independent community oncology practices working together to improve the lives of everyone living with cancer with a physician-led, data-driven, technology-powered, and patient-centric model. Through OneOncology, partner practices have shared technology platforms that foster communication, data sharing, and clinical excellence across the network. OneOncology's non-exclusive clinical trial site management subsidiary, OneR, delivers complex, multi-center clinical trials to affiliated practices. If you would like to apply or learn more about this opportunity, please email your CV to ****************************** I look forward to speaking with you!

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Contribute to reusable code and components that are shared internally and also externally Required qualifications, capabilities and skills PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field. Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) Scientific thinking and the ability to invent Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences Curious, hardworking and detail-oriented, and motivated by complex analytical problems Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Experience with A/B experimentation and data/metric-driven product development Experience with cloud-native deployment in a large scale distributed environment Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal Ability to develop and debug production-quality code Familiarity with continuous integration models and unit test development JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary Jersey City,NJ $128,250.00 - $195,000.00 / year

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Contribute to reusable code and components that are shared internally and also externally Required qualifications, capabilities and skills PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field. Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) Scientific thinking and the ability to invent Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences Curious, hardworking and detail-oriented, and motivated by complex analytical problems Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Experience with A/B experimentation and data/metric-driven product development Experience with cloud-native deployment in a large scale distributed environment Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal Ability to develop and debug production-quality code Familiarity with continuous integration models and unit test development

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 Cross project Clinical Pharmacology support for late stage clinical programs. Contribute to the design and coordination of pharmacokinetic / DMPK related elements for clinical projects. Identify potential project hurdles, suggest solutions and establish contingency plans. Represent Oncology Clinical Pharmacology (OCP) on clinical trial teams to support early or late stage clinical programs. Contribute expert input into key pre-clinical and clinical, and regulatory documents including clinical study protocols, clinical study reports, modeling reports, investigator brochures, IND / IMPD's and NDA's within agreed timelines, and meeting all regulatory requirements under frequent guidance from manager. Facilitate constructive collaboration within drug development teams (GPTs, etc) and with other internal partners (e.g. DMPK, Toxicology, Formulations, Drug Regulatory Affairs, Clinical Development). Work with a senior colleague or supervisor to define and update as appropriate the PK, PK/PD, DMPK, biopharmaceutical and pharmacometric requirements in the OCP and/or pre-clinical project development plans. Monitor timelines, objectives and, as appropriate, budgets. Ensure accuracy of project and activity progress in company tracking tools (e.g., Succeed, ModTracker). Assure rapid and effective communication of high quality data and results to project teams with support of manager. Follow internal processes, adhere to Client and project specific standards and, when required, adhere to Health Authority requirements (SOPs, Master Analysis Plan, GCP, and regulatory guidelines). Contribute to writing and updating new processes and standards for OCP. Contribute to and participates in OCP or project sub-teams. Coordinates with appropriate subteam members and/or prepare summary documentation. Maintain and enhance technical and drug development expertise (e.g. training courses, external meeting attendance). Help conduct training / study sessions within OCP and for other line functions. Contribute to meetings with external parties including investigators and outside experts. Languages: Fluent English (oral and written) Experience/Professional requirement: 1. 0-10 years of relevant academic, industry, or government experience 2. Proficiency with pharmacometric tools (e.g., WinNonlin, SAS, NONMEM, Trial Simulator, GastroPlus, SymCyp). 3. Knowledge of related disciplines (e.g., DMPK, biostatistics, toxicology, regulatory) in the drug development process. 4. Ability to work as part of a cross functional team in a highly dynamic, matrixed, project-team environment. 5. Strong oral and written communication skills. 6. Strong organizational and project skills. 7. Critical thinking and problem solving skills. Qualifications Education:. Ph.D. in a relevant discipline, Pharm D. with appropriate post-doctoral training, or equivalent experience. Additional Information Best Regards, Akriti Gupta ************** Morristown, NJ 07960

Job Title: Scientist II- Immunology Anvia Therapeutics is a dynamic and innovative biotech company dedicated to developing small molecule inhibitors targeted at treating inflammatory and autoimmune diseases. We foster a collaborative environment where scientific excellence and creativity drive our mission to develop impactful medicines. Job Summary We are seeking a highly motivated immunology Scientist to drive hypothesis-driven in vitro immunology research in a fast-paced and innovative drug discovery environment. The successful candidate will design, develop, and execute complex cellular assay systems, including primary human immune cells, patient-derived samples, and disease-relevant cell lines to support immune pharmacology and mechanism-of-action (MoA) studies across inflammatory disease programs such as IBD, rheumatoid arthritis, and dermal inflammation. Responsibilities Key Responsibilities Design and execute hypothesis-driven cellular assays to support immune pharmacology, target validation, and MoA studies. Develop, optimize, and validate complex in vitro assay systems using primary immune cells, patient-derived samples, and disease-relevant or engineered cell lines. Perform functional immune assays including cell activation, proliferation, cytokine production, signaling, and cytotoxicity, using both primary and cell-line-based systems. Contribute to immune pharmacology assessments, including compound potency, pathway modulation, selectivity, and translational relevance. Apply a strong mechanistic understanding of immune and inflammatory signaling pathways to guide assay design and data interpretation. Utilize flow cytometry, ELISA/MSD/other cytokine/chemokine profiling techniques, protein- and signaling-based assays, and related techniques to generate high-quality, reproducible data. Analyze, interpret, and clearly communicate experimental results to project and leadership teams. Troubleshoot and refine experimental systems to improve robustness, scalability, and biological relevance. Maintain accurate experimental records using electronic laboratory notebooks. Collaborate closely with lead discovery, chemistry, translational, and external partners to advance program milestones. Stay current with emerging immunology technologies and incorporate innovative methodologies where appropriate. Qualifications Required Qualifications PhD in Immunology, Biology, Biotechnology, Molecular Biology, or a related field with 2+ years of relevant experience. Hands-on experience developing and executing complex cellular assays using primary immune cells, patient-derived samples, and cell line-based systems. Experience working with functional immune readouts, including flow cytometry-based phenotyping and signaling assays, and cytokine measurement (ELISA/MSD/other). Demonstrated expertise in protein-level analysis of signaling pathways, including Western blotting and related biochemical techniques used to assess pathway activation, inhibition, and mechanism of action. Strong understanding of cell signaling pathways relevant to immune and inflammatory biology. Proven ability to independently design experiments, troubleshoot assays, and manage multiple priorities. Proficiency with data analysis and visualization tools (e.g., GraphPad Prism, FlowJo, Excel). Excellent written and verbal communication skills. Preferred Qualifications Experience supporting immune pharmacology and MoA characterization in early drug discovery. Background in inflammatory or autoimmune disease biology (IBD, RA, dermatology preferred). Familiarity with assay validation, quantitative potency assessment and translational biomarker analysis/ identification. Experience working in a fast-paced, innovative biotech environment. Why Join Us? Be part of a passionate team making a difference in biotech innovation. Collaborative and dynamic work environment. Hands-on experience with state-of-the-art technologies. Opportunities for professional development and advancement. Competitive compensation and benefits. The salary range for this position is $115,000-$150,000 per year. The actual compensation offered will be based on factors such as relevant experience, education, and skills. In addition to base salary, we offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan options. Anvia Therapeutics is an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, creed (religion), color, national origin, sex (including gender identity and sexual orientation), age, disability, marital status, citizenship status, military status, genetic information, or any other characteristic protected by federal, state, or local law. Our employment decisions are based on merit, qualifications, and business needs. We are committed to providing a work environment free from discrimination, harassment, and retaliation, and we undertake affirmative action efforts to promote equal opportunity for all employees and applicants. #LI-DNI

At Inductive Bio we're tackling the challenge of making drug discovery more efficient. Chemists spend countless hours combining data, expertise, and intuition to create new molecules that are effective, safe, and work well in the human body. It's a slow, complex process, and the patients are the ones left waiting. At Inductive Bio, we're building an intuitive, collaborative platform, powered by state-of-the-art AI to help accelerate this process. Our platform is already being used on dozens of active drug discovery programs, and adoption is rapidly growing. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts. After achieving quick adoption via word-of-mouth, we are now expanding our capabilities to build state-of-the-art in silico models for toxicity prediction. We are seeking a senior Toxicologist to serve as our primary subject matter expert in toxicology, with an initial focus on liver and cardiac safety. In this role, you will help shape our scientific offering, ensure that our models are rigorously validated, and guide us toward solutions that have meaningful impact in real-world drug discovery programs. What you'll do: Serve as Inductive Bio's lead subject matter expert in toxicology, with a focus on liver and cardiac safety Guide the development of in silico toxicity models, ensuring scientific rigor, biological relevance, and translational utility Provide toxicology consulting support for partner programs Define the scientific standards, benchmarks, and validation approaches that underpin our toxicology offerings Collaborate with internal machine learning and chemistry experts to translate toxicological principles into predictive models Provide expert input into customer engagements, building credibility and helping to shape solutions tailored to partner needs Stay current on the evolving regulatory, scientific, and technological landscape in preclinical toxicology, bringing insights back to the team Contribute to external scientific presence, including publications, presentations, and conference participation Who you are: PhD in toxicology, pharmacology, or a closely related discipline 15+ years of experience in drug discovery or development with deep expertise in toxicology (preferably in both preclinical and translational contexts) Strong expertise in hepatotoxicity and cardiotoxicity, with familiarity across additional organ systems a plus Proven track record of applying toxicology insights to support decision-making in drug discovery or development programs Excellent communication and presentation skills, with the ability to explain complex concepts to both scientific and non-scientific audiences Experience interacting with regulatory authorities and knowledge of FDA/EMA/ICH guidance a strong plus Collaborative, pragmatic, and entrepreneurial-comfortable working across disciplines in a fast-moving startup environment Working at Inductive At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast-growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with passion and creativity, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There's much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with. Every day, your talent, your innovative spirit, and your determination will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature. Senior Toxicologist - Specialist in Developmental and Reproductive Toxicology (DART) You will play an important role as our in-house expert on Developmental and Reproductive Toxicology (DART), strengthening our safety science capabilities, ensuring compliance with global regulatory standards, and contributing to innovative approaches for reproductive and developmental safety assessment under a regulatory landscape that is quickly evolving. You will help create product safety documentation for registration with relevant authorities and provide scientific guidance to all partners. Reporting to the Head of Fragrance Human Safety Sciences, you will be based close to one of our Regulatory Fragrance Offices (Paris, Ashford, or Ridgedale (NJ, USA)), working four days onsite and one from home each week. Main Responsibilities Product Safety & Scientific Leadership Be Givaudan's internal expert for Developmental and Reproductive Toxicology (DART). Provide excellence in human health safety to demonstrate the safe use of our ingredients and products to customers and regulators. Plan, coordinate, and oversee pre-clinical DART studies following OECD, ICH, and other regulatory guidelines. Define and monitor safety testing strategies in compliance with REACH, TSCA, and other global regulations. Work with CROs on study monitoring, reporting, and strategic planning; past study director experience in reputed toxicology CROs is a strong asset. Contribute to the development and application of New Approach Methodologies (NAMs) for reproductive and developmental toxicity testing (in vitro, in silico, and alternative models). Regulatory Policy & Advocacy Provide Givaudan management with expert guidance on complex regulatory and safety issues. Interpret scientific and technical data affecting Givaudan's global regulatory toxicology activities. Represent Givaudan on industry safety committees and contribute to trade association initiatives. Product Documentation & Registration Lead efforts to obtain relevant toxicology or regulatory data needed to support product registrations. Act as the liaison between R&D project teams and product safety functions. You - Your Profile Includes PhD required in toxicology, biochemistry, chemistry, or related scientific discipline. 10-15 years of expertise in pre-clinical studies within the field of Developmental and Reproductive Toxicology/Biology. Demonstrated track record in planning, coordinating, and accomplishing DART studies following OECD, ICH, and other regulatory guidelines. Past experience as a DART-specialized study director in a reputed toxicology testing CRO Familiarity with digital fundamentals (AI, machine learning for advanced data analysis). Familiarity with global regulatory frameworks relevant to reproductive and developmental toxicity. Fluent in English (spoken and written). For US: Salary expectation based on technical experience: 120,000 - 160,000 usd Location: The position will be based on the candidate's current location (UK, France, or US) Our Benefits: Annual bonus. Medical insurance coverage. Career Development Opportunities with access to many virtual learning sessions International working environment #LI-Onsite #ZR At Givaudan, you contribute to delightful taste and scent experiences that touch people's lives. You work within an inspiring teamwork culture - where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions. Every essence of you enriches our world. Diversity drives innovation and creates closer connections with our employees, customers and partners. Givaudan embraces diversity and is committed to building an inclusive environment where everyone impacts our world.

Scientist II- Whitesboro, New York- Full-Time; Onsite ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. At ICON, it's our people that set us apart. Our diverse teams enable us to become a better partner to our customers and help us to fulfil our mission to advance and improve patients' lives. Our 'Own It' culture is driven by four key values that bring us together as individuals and set us apart as an organisation: Accountability & Delivery, Collaboration, Partnership and Integrity. We want to be the Clinical Research Organisation that delivers excellence to our clients and to patients at every touch-point. In short, to be the partner of choice in drug development. That's our vision. We're driven by it. And we need talented people who share it. If you're as driven as we are, join us. You'll be working in a dynamic and supportive environment, with some of the brightest and the friendliest people in the sector, and you'll be helping shape an industry. The Role: We are looking for a Scientist l to join our winning laboratory team rated by Forbes as one of America's best employers for two years in a row! Must be flexible and available for self-paced training Monday thru Friday and able to work occasional weekends. • Under general supervision, the Scientist in the bioanalytical laboratory will be responsible for developing and performing assays on biological samples from pre-clinical and clinical trials. • The Scientist will validate the quantification of Biomarkers, New Chemical and Biological Entities in tissues, biological fluids or chemical matrices. • Perform assays for routine batch analysis of Biomarkers, NCE and NBE in biological fluids/chemical matrix involving simple to complex analytical techniques. • Perform laboratory work to FDA and international regulatory GLP and GCP standards. What you need: We are seeking candidates with a Bachelors in Biology, Chemistry, or Biotechnology and the ability to work in a fast paced collaborative environment. Familiarization with basic laboratory operations is preferred. Knowledge of binding assay formats and platforms, effective communication skills, attention to detail, and the ability to organize and prioritize work is required. Benefits of Working in ICON: Our success depends on the quality of our people. That's why we've made it a priority to build a culture that rewards high performance and nurtures talent. We offer very competitive salary packages. And to keep them competitive, we regularly benchmark them against our competitors. Our annual bonuses reflect delivery of performance goals - both ours and yours. We also provide a range of health-related benefits to employees and their families and offer competitive retirement plans - and related benefits such as life assurance - so you can save and plan with confidence for the years ahead. But beyond the competitive salaries and comprehensive benefits, you'll benefit from an environment where you are encouraged to fulfil your sense of purpose and drive lasting change. ICON is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know through the form below. What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: * Various annual leave entitlements * A range of health insurance offerings to suit you and your family's needs. * Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. * Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. * Life assurance * Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Salary range: $56,704.00-$70,880.00 Bonus, Com, Stock, Benefits & Disclaimer verbiage: Actual compensation will be determined based on factors such as geographic location, work experience, education/training, and skill level. You may be eligible for a bonus, stock compensation and commissions in some cases depending on your role and performance. Are you a current ICON Employee? Please click here to apply

Our client is a manufacturer that produces nutritional supplements. They focus on developing high-quality, science-driven products while maintaining stringent quality and regulatory standards. They are currently expanding their team and looking to bring on a Scientist (Oil-Based Formulations). Salary/Hourly Rate: $85k - $90k Position Overview: The Scientist (Oil-Based Formulations) will develop and support oil-based dietary supplement formulations, including oil suspensions, lipid systems, and softgel-compatible fills. This hands-on role works closely with Product Development, Quality, Operations, Purchasing, and Sales to bring new products from concept through commercialization. Responsibilities of the Scientist (Oil-Based Formulations): * Formulate and optimize oil-based products for dietary supplements and foods. * Support additional dosage forms as needed (liquids, capsules, powders). * Troubleshoot formulation and processing issues during development and scale-up. * Source ingredients, support formulation costing, and assess feasibility. * Maintain formulation records and support QA documentation. * Perform and assist with QC testing (GC, HPLC, ICP-MS). * The Scientist (Oil-Based Formulations) will run bench-top, pilot, and scale-up batches. * Maintain lab equipment, materials, and documentation. * Collaborate cross-functionally to meet project timelines. Required Experience/Skills for the Scientist (Oil-Based Formulations): * 3+ years of product development experience in dietary supplements, food, or cosmetics. * Strong experience with oil-based formulation and lipid systems. * Knowledge of natural product chemistry and formulation costing. * Strong documentation, organization, and communication skills. * Ability to manage multiple projects independently. Preferred Experience/Skills for the Scientist (Oil-Based Formulations): * The Scientist (Oil-Based Formulations) should ideally have GMP and DSHEA familiarity. * Scale-up and commercialization experience. Education Requirements: * Bachelor's degree in Food Science, Chemistry, Biochemistry, Pharmaceutical Sciences, or a related field is required. Benefits: * Medical, dental, and vision insurance. * 401(K). * Paid time off and more.

As the world's largest university-based biorepository, Infinity BiologiX has been perfecting the science of biobanking, bioprocessing and analytics since 1999. By utilizing a technologically advanced infrastructure and the highest quality biomaterials, IBX scientists work to convert precious biosamples into renewable resources thereby extending research capabilities. IBX understands that research goals and objectives vary from project to project so we give each client individual and customized attention to ensure “best fit” service.As the world's largest university-based biorepository, Infinity BiologiX has been perfecting the science of biobanking, bioprocessing and analytics since 1999. By utilizing a technologically advanced infrastructure and the highest quality biomaterials, IBX scientists work to convert precious biosamples into renewable resources thereby extending research capabilities. IBX understands that research goals and objectives vary from project to project so we give each client individual and customized attention to ensure “best fit” service. Job Description COMPANY OVERVIEW: Infinity BiologiX is a Next Generation Central Lab providing a range of laboratory and scientific services including biobanking, sample bioprocessing, genomic analysis, NGS, study design, kit design and manufacture to our customers including Government funded research, Biotech and large Pharma, Consumer Genomics and large range of Life Sciences industries. Infinity BiologiX acquired the business, assets and operating framework previously operating as RUCDR Infinite Biologics, RUCDR has been perfecting the science of biobanking, bioprocessing and analytics since 1999. By utilizing a technologically advanced infrastructure and the highest quality biomaterials, our scientists work to convert precious biosamples into renewable resources thereby extending research capabilities. We understand that research goals and objectives vary from project to project so we give each client individual and customized attention to ensure “best fit” service. Contact us to learn what we can do for you. POSITION SUMMARY: IBX is seeking a self-motivated bioinformatician with 2-3 years of experience in bioinformatics or computational biology or related field. Must be adapt with contemporary genomics applications, database management systems and query optimization with higher focus on web-based application programming using programming languages such as Python/R/PHP/PERL, and database management. Familiarity with Array and Sequencing based high throughput data analysis and reporting. The candidate will be responsible primarily for creating and maintaining web-based programming interfaces with backend pipeline development, analyzing experimental data, manipulating and interpreting large data sets in accordance with established protocols. The position will entail consultation, execution and analysis of a variety of technologies in the genomics arena. A qualified candidate will be capable of working independently to analyze genetic data, organize files, and generate detailed reports. PREFORMANCE GOALS: Candidate must be independently able to - · Develop, deploy and maintain NIX based pipelines for high throughput data analysis (sequencing, array, PCR, Sanger etc.) · Create, deploy and maintain web-based programming interfaces for launching backend pipelines. · Perform robust data quality control and validation. · Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) using contemporary genomics data analysis tools. · Work closely with clients and project managers to understand and help accomplish their research goals and provide consultation on best bioinformatics methodology options. · Integrate different types of genomics data and prepare concise presentations of computational results · Perform other duties as assigned by the supervisor Qualifications COMPETENCIES: Bioinformatics Proven expertise (2-3 years) in - Genomic data analysis using contemporary tools. Genomic data wrangling from public sources. Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R programming. 3. MySQL or PostgreSQL database administration and development, query optimization. 4. JavaScript (AJAX) and JQuery based client-side programming. 5. Experience in deploying applications on cloud-based environments is a big plus Personal skills Ability to handle multiple projects simultaneously. Ability to communicate issues transparently and immediately. Ability to communicate technical information in a clear and concise manner. QUALIFICATIONS: Master's degree in Bioinformatics or related fields. LOCATION: Hybrid - remote + on-site Additional Information All your information will be kept confidential according to EEO guidelines.

Advertising: Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. About our team: Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods. Key job responsibilities We are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring state-of-the-art research to raise the bar within the team. Basic Qualifications - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development - Experience building machine learning models or developing algorithms for business application Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. **Job Responsibilities** + Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation + Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure + Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production + Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business + Contribute to reusable code and components that are shared internally and also externally **Required qualifications, capabilities and skills** + PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field. + Hands-on experience and solid understanding of machine learning and deep learning methods + Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) + Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) + Scientific thinking and the ability to invent + Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals + Experience with big data and scalable model training + Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences + Curious, hardworking and detail-oriented, and motivated by complex analytical problems + Ability to work both independently and in highly collaborative team environments **Preferred qualifications, capabilities and skills** + Strong background in Mathematics and Statistics + Familiarity with the financial services industries + Experience with A/B experimentation and data/metric-driven product development + Experience with cloud-native deployment in a large scale distributed environment + Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal + Ability to develop and debug production-quality code + Familiarity with continuous integration models and unit test development JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans **Base Pay/Salary** Jersey City,NJ $128,250.00 - $195,000.00 / year

As the world's largest university-based biorepository, Infinity BiologiX has been perfecting the science of biobanking, bioprocessing and analytics since 1999. By utilizing a technologically advanced infrastructure and the highest quality biomaterials, IBX scientists work to convert precious biosamples into renewable resources thereby extending research capabilities. IBX understands that research goals and objectives vary from project to project so we give each client individual and customized attention to ensure “best fit” service.As the world's largest university-based biorepository, Infinity BiologiX has been perfecting the science of biobanking, bioprocessing and analytics since 1999. By utilizing a technologically advanced infrastructure and the highest quality biomaterials, IBX scientists work to convert precious biosamples into renewable resources thereby extending research capabilities. IBX understands that research goals and objectives vary from project to project so we give each client individual and customized attention to ensure “best fit” service. Job Description COMPANY OVERVIEW: Infinity BiologiX is a Next Generation Central Lab providing a range of laboratory and scientific services including biobanking, sample bioprocessing, genomic analysis, NGS, study design, kit design and manufacture to our customers including Government funded research, Biotech and large Pharma, Consumer Genomics and large range of Life Sciences industries. Infinity BiologiX acquired the business, assets and operating framework previously operating as RUCDR Infinite Biologics, RUCDR has been perfecting the science of biobanking, bioprocessing and analytics since 1999. By utilizing a technologically advanced infrastructure and the highest quality biomaterials, our scientists work to convert precious biosamples into renewable resources thereby extending research capabilities. We understand that research goals and objectives vary from project to project so we give each client individual and customized attention to ensure “best fit” service. Contact us to learn what we can do for you. POSITION SUMMARY: IBX is seeking a self-motivated bioinformatician with 2-3 years of experience in bioinformatics or computational biology or related field. Must be adapt with contemporary genomics applications, database management systems and query optimization with higher focus on web-based application programming using programming languages such as Python/R/PHP/PERL, and database management. Familiarity with Array and Sequencing based high throughput data analysis and reporting. The candidate will be responsible primarily for creating and maintaining web-based programming interfaces with backend pipeline development, analyzing experimental data, manipulating and interpreting large data sets in accordance with established protocols. The position will entail consultation, execution and analysis of a variety of technologies in the genomics arena. A qualified candidate will be capable of working independently to analyze genetic data, organize files, and generate detailed reports. PREFORMANCE GOALS: Candidate must be independently able to - · Develop, deploy and maintain NIX based pipelines for high throughput data analysis (sequencing, array, PCR, Sanger etc.) · Create, deploy and maintain web-based programming interfaces for launching backend pipelines. · Perform robust data quality control and validation. · Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) using contemporary genomics data analysis tools. · Work closely with clients and project managers to understand and help accomplish their research goals and provide consultation on best bioinformatics methodology options. · Integrate different types of genomics data and prepare concise presentations of computational results · Perform other duties as assigned by the supervisor Qualifications COMPETENCIES: Bioinformatics Proven expertise (2-3 years) in - Genomic data analysis using contemporary tools. Genomic data wrangling from public sources. Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R programming. 3. MySQL or PostgreSQL database administration and development, query optimization. 4. JavaScript (AJAX) and JQuery based client-side programming. 5. Experience in deploying applications on cloud-based environments is a big plus Personal skills Ability to handle multiple projects simultaneously. Ability to communicate issues transparently and immediately. Ability to communicate technical information in a clear and concise manner. QUALIFICATIONS: Master's degree in Bioinformatics or related fields. LOCATION: Hybrid - remote + on-site Additional Information All your information will be kept confidential according to EEO guidelines.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Contribute to reusable code and components that are shared internally and also externally Required qualifications, capabilities and skills PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field. Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) Scientific thinking and the ability to invent Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences Curious, hardworking and detail-oriented, and motivated by complex analytical problems Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Experience with A/B experimentation and data/metric-driven product development Experience with cloud-native deployment in a large scale distributed environment Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal Ability to develop and debug production-quality code Familiarity with continuous integration models and unit test development