Senior scientist jobs in Old Bridge, NJ

The qualified candidate will take an active role in supporting drug development by applying a variety of analytical methodologies to support physical and chemical characterization of drug substances (including raw materials and intermediates) and drug products. Working knowledge of analytical (e.g., HPLC-UV, HPLC-MS, GC-MS, spectroscopy) and physical chemical techniques (e.g., particle size, dissolution) used for the characterization of pharmaceutical substances and products is desired. Hand-on experience in HPLC method development is highly desired. Position level varies from bench chemist to principle scientist, depending on experience. Principal Responsibilities: The individual will be responsible for performing laboratory work in support of analytical testing of pharmaceutical projects, and relevant experience with the following analytical methodologies: chromatography, dissolution, KF, particle size will be desirable. Job responsibilities may include analytical method development and validation; stability and release testing; testing to support pharmaceutical development efforts; direct interaction with project team members, including presentation of data; critical review of data; preparation of technical reports; and evaluation of new instrumentation or analytical techniques. The candidate must be able to interact effectively with peers and leaders as part of a multi-disciplinary team and work in a fast-paced environment. Attention to detail, strong organizational skills, the ability to multitask, and effective interpersonal and communication skills are required. Qualifications The position requires a B.S, M.S. in Pharmaceutical Chemistry, Analytical Chemistry, Chemistry, or Pharmaceutical Sciences with relevant working experience in pharmaceutical industry. Working knowledge in analytical method development and validation under cGMP environment. Experience with a wide-variety of software and information systems (e.g. Empower, ChemStation, or LIMS). Experience in problem-solving skills and instrument trouble-shooting. Good oral and written communication skills and the ability to write and review technical reports and scientific papers are desired. Working knowledge of pharmaceutical product development, CMC regulatory requirements, project management; and capability to collaborate with colleagues.

6 month contract w/ renewal 3 days onsite in Jersey City, NJ We are seeking a Clinical Scientist Data Reviewer that will support the scientific planning efforts and collaborate with Clinical Research, Pharmacovigilance and Clinical Operations in the execution of one or more clinical trials or significant aspects thereof. In this position, you will have the opportunity to demonstrate technical skills and scientific acumen as part of a cross-functional clinical development team. You will be a key contributor and supporter in the clinical science activities of evidence generation for regulatory approval and/or engagement with physicians, including protocol development, study implementation, data analysis and reporting of results. This role will be focused on the detailed and critical safety data review efforts from study start-up through final CSR. The Clinical Scientist Data Reviewer is a crucial role in analyzing and interpreting clinical trial data to ensure accuracy, integrity, and compliance with regulatory requirements. There is additional room for growth and leadership opportunities in this role. Responsible for supporting specific aspects of clinical/scientific execution of clinical protocol(s). This may include: Serving as a supportive clinical scientist data reviewer focused on safety, efficacy and critical data deliveries as part of the clinical trial team Supporting the clinical study team as part of the clinical sciences functional line which is closely aligned with the medical monitoring team in review and interpretation of clinical data/medical protocol deviations in collaboration with Clinical Research and Pharmacovigilance (as well as other functional areas in this matrix environment) Collaborating cross-functionally in the development of Protocol and related study materials (e.g., ICF documents / amendments); partnering with Clinical Operations on critical and key study deliverables Ensure CRF design supports data collection in alignment with the Protocol in collaboration with Clinical Data Management/Programming Collaborating cross-functionally to review clinical data to ensure quality, completeness, and integrity of trial conduct Potential to provide tactical/scientific mentorship to other clinical scientists and move into Clinical Scientist lead role as well as focus on scientific growth and development Responsible for assisting with the generation, analysis, and presentation of clinical data, including manuscripts, abstracts, and oral presentations (including authoring documents and slide preparation as appropriate) Apply proficient analytical knowledge and skills to understand how program objectives and design impact data analysis; identifies risks and designs mitigation strategies Promotes consistent first line medical/clinical data review techniques and conventions across studies/programs Qualifications 6+ years of experience with a Post Graduate Degree or 8+ years of experience with a Bachelor's degree in a relevant scientific discipline. Experience in clinical drug development experience, or a PhD, Pharm D, or RN degree is preferred. Experience within oncology preferred Solid knowledge of clinical research regulatory requirements (e.g., GCP and ICH) Ability to manage multiple competing priorities with good planning, time management and prioritization skills Strong analytical skills with the ability to interpret clinical trial data and synthesize conclusions Proficient scientific expertise to propose, design, and execute clinical research and development studies, and authors documents related to clinical trials, such as medical monitoring plan, SAPs, informed consent and clinical components of the Clinical Study Reports Interact with key stakeholders across Clinical Development functional areas Role requires proactive approach, strategic thinking and leadership in driving toward clinical study goals Influence opinions and decisions of internal and external customers / vendors, across functional areas Problem solving, prioritization, conflict resolution and critical thinking skills Strong communication, technical writing, and presentation skills experience

*This will be a 12-month contract with potential extensions *5 days on site in Raritan Required Skills & Experience •BS degree in polymer science, chemistry, material science, or related science is required •A minimum one (1) year related working experience is required if BS or MS degree •Previous experience in polymer characterization including thermal analysis (DSC, DMA, TGA), rheology, and x-ray diffraction testing (XRD) is required (at least 2/3 skills) •Must be able to work independently and effectively collaborate and communicate with other team members Nice to Have Skills & Experience -Experience in a GLP/GMP environment -Experience with medical devices -Experience with test method development Job Description A large life sciences/medical device client of ours is looking for a Polymer Science to join their team for a 12+ month contract. They will focus on polymer characterization, including rheology, thermal analysis (DSC, DMA, TGA), and x-ray diffraction (XRD), in support of new product development and life-cycle management. The associate will work closely with an appointed scientist to execute test methods, analyze and report results, and develop new procedures as needed. Key responsibilities include and maintaining instruments, preparing samples, ensuring timely testing and data reporting, maintaining accurate documentation and calibration records, and adhering to GMP/GLP practices. Additional tasks may involve microscopy, wet chemistry, and training other personnel.

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 $50/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 Associate Scientist MSAT Advanced Therapies Validation is responsible for validating supporting processes, implementing improvements within commercial manufacturing, and managing the lifecycle of these processes. The Associate Scientist acts as a Subject Matter Expert for validation studies, particularly in optimizing commercial manufacturing of lentiviral vectors, and liaises with various stakeholder departments. Responsibilities: Contribute to Life Cycle Management (LCM) and New Technology Introduction for the site. Execute validation of supporting processes (e.g.,mixing, sterilization, thermal processing, bio-decontamination). Support the introduction of new technologies and digitalization projects through validation protocol execution. Support the introduction of new materials via execution of validation protocols. Validate process parameters (e.g., process hold times). Contribute to Life Cycle Management projects. Act as Subject Matter Expert for one or more validation categories. Leverage the global MSAT network to identify and implement best practices. Author and review well-documented protocols and reports for all processes to be qualified/validated, in accordance with corporate/site guidelines, procedures, regulatory requirements, and industry best practices. Coordinate and support the execution of validation studies that conform to site standards and client guidelines, while meeting quality requirements. Support the site change control program by performing validation impact assessments and delivering the resulting implementation plan. Investigate deviations associated with process validation activities and oversee pre-validation and validation activities resulting from technical changes. Propose and formalize enhancements to qualification and validation processes and procedures to support process validation throughout the lifecycle and ensure program sustainability. Assist with writing Quality Risk Assessments for existing and new or changed processes. Ensure integration of global standards into local production processes. Support complex investigations and risk assessments. Act as SME during internal and external audits and inspections. Experience: Minimum of 2 years of relevant Manufacturing, Science, & Technology experience in the pharmaceutical industry. Experience with cell therapy manufacturing or viral vector manufacturing. GMP manufacturing and/or validation experience in pharmaceuticals. Skills in communication, planning, documentation, risk management, root cause problem-solving, and knowledge management. Understanding of regulatory requirements and industry guidelines for validation (e.g., FDA, EMA, ICH, ASTM, ISO, ISPE, PDA, etc.). Affinity with process technology and digitalization in manufacturing. Capable of successful delivery of local small projects, regional project work streams, or departmental programs under supervision. Selects applicable engineering/scientific tactics. Works independently within scope, requiring general guidance. Skills: Stem Cell Therapy Good Manufacturing Practices (GMP) Drug Manufacturing Education: BSc in Biochemistry, Biotechnology, Chemical Engineering, or a related field. Advanced degree (MSc/PhD) in Biochemistry, Biotechnology, Chemical Engineering. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Azhar Email: **************************** Internal Id: 25-53773

You will lead and coordinate the development of multiple studies of novel biological and small molecules for first in human (FIH), proof of mechanism (POM), early signs of efficacy (ESOE) and proof of concept (POC) studies in Oncology. You will work in close collaboration with the Global Development Lead (GDL)and members of the development team to establish, lead, coordinate, and execute the early oncology clinical development plan(s). You will lead the development of the clinical protocol and participate as an individual contributor on clinical teams with Pfizer development operations and the project team, to meet enrollment and study delivery timelines. You will also work with other functional disciples to ensure the full scope and remit of Oncology Early Stage Development (OESD) is represented as need within clinical study teams (e.g. Research Units, Biostatistics, Clinical Pharmacology, Precision Medicine, and Digital Medicine). POSITION RESPONSIBILITIES Partner closely with the Global Development Lead (GDL) in the execution of the clinical development strategy and plan for the assigned molecule(s)/indication(s) Responsible for scientific leadership and execution of clinical studies and delivering on innovative clinical study designs, high quality trial execution, safety assessment and interpretation of clinical study results Support execution for all FIH programs through proof-of concept Set the clinical data review strategy, ensure quality data and conduct review of emerging clinical data and trends; review and query data; present and discusse relevant data to appropriate teams, governance bodies, and other internal and external stakeholders Conduct data review, analysis and interpretation of clinical trials data together with the GDL, Clinical Safety, and Biostatistics. Serve as technical resource for clinical issues raised by internal and external collaborators, investigators, consultants and contractors Support and assist in the development of publications, abstracts, and presentations May sit on project teams to support clinical development implementation and contribution to key development milestones, e.g. start-up and delivery of ESoE and PoC trials. Participate in project teams to help implement clinical development and contribute to key milestones (e.g., start-up and delivery of early signs of efficacy [ESoE] and POC trials). Lead the preparation of clinical protocols and support other critical documents including clinical development plans, INDs, annual reports, clinical study reports (CSRs), investigator brochures, statistical analysis plans, and regulatory documents. Foster a transparent environment that builds strong partnerships and mutual trust among teams and therapeutic areas. Coordinate with other clinical research activities within Oncology Research Development (ORD) and the broader Worldwide Research and Development (WRD) organization. Develop effective collaborations with key internal and external partners, such as project leaders, research units, biostatistics, regulatory affairs, clinical pharmacology, human genetics, translational oncology, precision medicine, and development operations. Partner with Translational Oncology and Biomarker teams to ensure biomarker plans are integrated into relevant programs for early efficacy signs and POC, as well as patient stratification. Establish and support relationships with external experts, consultants, key opinion leaders, regulators, and investigator networks to integrate the latest clinical thinking and guidelines into development plans and study designs, as well as manage study recruitment, analysis, interpretation, and presentation of results. Maintain up-to-date knowledge of scientific and clinical literature in relevant therapeutic areas, including key clinical development issues. Perform other duties as assigned related to clinical programs. Support functional area priorities and contribute to or lead departmental initiatives as requested. MINIMUM QUALIFICATIONS / KEY SKILLS Relevant PhD or PharmD and a minimum of 5 years of experience in a similar role in industry/CRO, OR MS and a minimum of 7 years of experience in a similar role in industry/CRO, OR BA/BS and a minimum of 10 years of experience in a similar role in industry/CRO Clinical Research experience in Phase 1 in Oncology, on the side of the sponsor leading studies Experience in or strong understanding of Oncology Drug Development especially in Early Development Strong knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations. Strong scientific writing skills and communication skills (written and verbal) Clinical document writing experience (e.g., protocol, ICD, IB, IND), as well as understanding complex data analysis. Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations. Experience working with and solid understanding of related disciplines, e.g., Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-Clinical, Pharmacology, Quality Assurance. Experience building consensus and driving change across all levels of the organization including senior management. Data listing review experience Critical thinker, with experience working collaboratively in a fast-paced, team-based matrix environment as well as working independently when appropriate Experience performing complex data analyses using JReview, SpotFire, SOCs-PRO or other similar platform PREFERRED QUALIFICATION Experience leading a team This position does not require you to be medical qualified. Demonstrates diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Perform complex data analysis NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS 5-10% Travel Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Perform complex data analysis NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Work Location Assignment: Hybrid The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. Legend Biotech is seeking a Senior Research Associate/Associate Scientist (Contractor) as part of the Early Drug Development team based in Somerset, NJ. Role Overview We are seeking a highly motivated and detail-oriented Bioassay research scientist to join our Bioanalytical team. The ideal candidate will bring technical expertise in molecular assays (qPCR/dd PCR), multi-parameter flow cytometry and contribute to the daily operations of the lab supporting both clinical and preclinical research. This role requires strong organizational skills, the ability to collaborate effectively with cross-functional teams, and a background in biology or a related field. The successful candidate will play a critical role in ensuring the accuracy, reproducibility, and integrity of experimental data. Key Responsibilities Molecular & Flow cytometry assays. Collaborate within a dynamic, cross-functional team to perform molecular and flow cytometry-based assays for the characterization of clinical, preclinical, and animal samples. Execute flow experiments following the best practices of the field. Perform quantitative PCR (qPCR) and dd PCR assays for gene expression analysis and biomarker quantification in clinical and preclinical samples. Assist in development, execution, and interpretation of new assay methods. Maintain thorough and accurate records, including laboratory notebooks, ELNs (Electronic Laboratory Notebooks), instrument logs, maintenance records, and troubleshooting documentation. Sample & Inventory Management. Support lab operations including ordering and inventory management of consumables, reagents, and antibodies. Provide weekend and shift coverage as needed. Train on and utilize LabVantage LIMS for biosample tracking, management, and test setup. Coordinate with warehouse teams for incoming and outgoing sample shipments (Legend shipments) and ensure proper documentation. Maintain an organized inventory of lab supplies, reagents, and chemicals. Ensure efficient processing of preclinical, translational, and bioanalytical samples. Qualifications BS in Biology or related field with 2+ years of relevant experience, or MS with 1+ years of experience in a pharmaceutical or biotech setting. Hands-on experience with molecular assays, flow cytometry, bioassays, immunoassays, and molecular testing platforms. Knowledge of preclinical development and patient sample analysis. Experience with LIMS (LabVantage preferred), IT networks, and database systems is a plus. Proven experience in lab inventory, equipment maintenance, and vendor coordination. Strong technical proficiency in flow cytometry, molecular bioassays, and diagnostics. Excellent organizational and data documentation skills. Proficient with various flow cytometry instruments (e.g., BD, Cytek, Beckman Coulter). Familiarity with analytical software such as SpectroFlo, and FlowJo. Experience with ELISA and PCR/qPCR/dd PCR skills. High parameter flow skills are plus. Team-oriented, proactive, and adaptable in a dynamic lab environment. Schedule: 8-hour day shift, Monday to Friday (Saturday coverage may be required. #Li-JR1 #Li-Contract Benefits We are committed to creating a workplace where employees can thrive - both professionally and personally. To attract and retain top talent in a highly competitive industry, we offer a best-in-class benefits package that supports well-being, financial stability, and long-term career growth. Our offerings are designed to meet the diverse needs of our team members and their families, ensuring they feel valued and supported every step of the way. Highlights include medical, dental, and vision insurance as well as a 401(k)-retirement plan with company match that vest fully on day one. Equity and stock options are available to employees in eligible roles, we offer eight weeks of paid parental leave after just three months of employment, and a paid time off policy that includes 15 vacation days, 5 personal days, 5 sick days, 11 U.S. national holidays, and 3 floating holidays. Additional benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs - demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. EEO Statement Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by applicable law. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. Legend may adjust base salary or other discretionary compensation at any time based on individual, team, performance, or market conditions. Legend Biotech maintains a drug-free workplace.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning Collaborate with internal and external researchers and with applied engineering teams Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field Research publications in prominent AI venues; e.g., conferences, journals Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, … Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series, reasoning and foundational models Proficiency with rapid prototyping and disciplined software development processes Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills Extensive programming skills in Python (required), Java or C++ (optional) Interest in problems related to the financial services domain (specific past experience in the domain is not required)

JobID: 210688096 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $137,750.00-$195,000.00 The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities * Conduct end-to-end research typically within Natural Language Processing (NLP) * Collaborate with internal and external researchers and with applied engineering teams * Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research * Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals * Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills * PhD in Computer Science or related field or a MS with at least 3 years of experience in the field * Research publications in prominent NLP venues; e.g., conferences, journals * Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding * Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. * Proficiency with rapid prototyping and disciplined software development processes * Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills * Extensive programming skills in Python, Java or C++ * Interest in problems related to the financial services domain (specific past experience in the domain is not required)

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. Associate Research Scientist Formulation Development Position Overview: As a Formulation Development Scientist, you will play a crucial role in executing formulation development activities under supervision. You will perform hands-on experiments in the laboratory, including prototyping, material characterization, accelerated stability studies, and initial process design. You will draft formulation development reports and help execute the formulation development strategy for assigned projects. Your role involves solving technical problems by applying scientific knowledge and creative thinking to create simple, cost-effective, and compliant solutions. You will test potential formulations, support laboratory activities, and participate in innovation activities by making prototypes for proposed ideas and concepts. You will contribute to innovation by leading ideations based on category innovation strategy or consumer insights, attending product research to understand consumer feedback, and actively searching for external new drug delivery technologies for new products. You will be instrumental in developing and testing the composition and physical attributes of new products for a stable and process-robust formulation. YOUR TASKS AND RESPONSIBILITIES: * Perform hands-on execution of experiments in the laboratory such as prototyping, material characterization, accelerated stability studies, quality by design - design of experiments execution, initial process design, and drafting formulation development reports; * Help execute formulation development strategy for assigned projects; * Solve technical problems by applying scientific knowledge and creative thinking, creating simple, cost-effective, and compliant solutions; * Clearly identify and escalate formulation issues to supervisor and project team; * Test potential formulations by working with cross-functional project teams to determine experimental and stability test requirements, and reviewing data and conclusions for product testing and stability; * Support laboratory activities as formulation equipment "owner" and subject matter expert, including raw material ordering and naming, and ensuring equipment is in working order; * Participate in innovation activities by making prototypes for proposed ideas and concepts, proactively suggesting new product ideas based on consumer needs or innovation strategy, and actively looking for external technologies and capabilities to apply for internal prototypes; * Contribute to innovation by leading ideations based on category innovation strategy or consumer insights, attending product research to understand consumer feedback on new products, making prototypes against new product ideas, presenting new product ideas and prototypes to category teams, and actively searching for external new drug delivery technologies for new products; * Develop and test the composition and physical attributes of new products for a stable and process-robust formulation; * Contribute to innovation and identify technologies for new product ideas. WHO YOU ARE: Bayer seeks an incumbent who possesses the following: Required Qualifications: * Bachelor's degree; * Ability to work hands-on in a laboratory setting; * Must be passionate about innovation, research, and continuous learning; * Ability to be a fast learner; * Ability to work with cross-functional teams in a rapidly changing environment; * Strong oral and written communication skills; * Experience with design of experiments (DOE) and data analysis; * Ability to work accurately and efficiently on multiple projects under aggressive timelines; * Strong computer and digital skills - Microsoft Office, DOE Software, modeling, and simulation. Preferred Qualifications: * Bachelor's degree in Pharmacy, Chemical Engineering, or Science with 2 years of experience in product development or testing; * Master's degree in Pharmaceutical Sciences, Industrial Pharmacy, Chemical Engineering, or Science with 0-1 years of experience in product development or testing. Employees can expect to be paid a salary between $60,000.00 - $90,000.00. Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, 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, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least December 22, 2025. #LI-US 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 : New Jersey : Morristown Division:Consumer Health Reference Code:858290 Contact Us Email:hrop_*************

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.

Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to design and build step-function improvements over existing blockchain solutions. After recently raising $225M in series A funding, led by Paradigm, we are growing our team. The Role We are looking for systems researchers with a strong interest in databases and operating systems. Candidates with research experience in systems verification, operating systems, multi-core algorithms, or systems architecture, are an ideal match. You will be part of a small, deeply technical team, working on high-impact problems in a fast-paced environment. Although we are building a new blockchain, previous experience with crypto is not expected. What You Will Do Designing performant algorithms and architectures related to storage or recovery, in single-node or distributed environments. Researching new architectures Tech stack: C++, clang, LLVM, gdb, perf, unix, git Who You Are PhD in Computer Science or equivalent Significant research experience into databases or operating systems Experience writing performant algorithms Experience writing production-grade code Resourceful and self-motivated Collaborative Adaptive; able to make meaningful contributions in a fast-paced environment Curious about lower-level system details Interested in building high-value, performant and distributed systems Why Work with Us Challenging problems. You'll work on extremely challenging problems with massive impact. See our Blogs and Papers & Talks for a flavor of the problems we are solving in the real world. Huge opportunity. The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad's core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. The right team. You'll be part of a small, exceptional team (engineers and researchers make up 90% of the team). Culture. We're a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you'll help to shape our culture. Compensation. You'll receive a competitive salary and equity package. Resources and growth. We're well-capitalized, with backing from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You'll learn a lot and grow as our company scales. Salary and Benefits Target full-time salary of $250,000. (**This is not a guarantee of compensation or salary; a final offer amount may vary based on factors including but not limited to experience, domain expertise, and geographic location.) Benefits for US employees include: World class benefits package (medical/dental/vision) Unlimited paid time off 401(k) retirement plan + company match Lunch and dinner stipend (in-office NYC) Monthly wellness benefit Paid parental leave

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

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Senior Associate in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in AI Agents and contributing to high-impact business applications and the broader AI community. Your role involves formulating problems, generating hypotheses, developing algorithms and models, conducting experiments, and communicating research significance. Your output will result in publications, high-impact business applications, open-source software, and patents. Job responsibilities Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions Required qualifications, capabilities, and skills PhD in Computer Science, Statistics, Engineering, or related fields Programming skills in Python Proficient understanding of fundamental AI and ML techniques (e.g., A*, regularization) Practical experience with statistical data analysis and experimental design Curiosity, creativity, resourcefulness, and a collaborative spirit Effective verbal and written communication skills with technical and business audiences Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds Interest in problems related to the financial services domain Preferred qualifications, capabilities, and skills Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals) Strong expertise in specialized areas such as deep learning (DL) or AI Agents Practical experience with ML platforms such as TensorFlow/Keras, PyTorch Comfort with rapid prototyping and disciplined software development processes Practical software engineering experience in collaborative project settings Hands-on experience developing and using AI Agents in a professional setting

JobID: 210676234 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $137,750.00-$195,000.00 The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist Senior Associate in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in AI Agents and contributing to high-impact business applications and the broader AI community. Your role involves formulating problems, generating hypotheses, developing algorithms and models, conducting experiments, and communicating research significance. Your output will result in publications, high-impact business applications, open-source software, and patents. Job responsibilities * Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams * Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance * Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents * Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions Required qualifications, capabilities, and skills * PhD in Computer Science, Statistics, Engineering, or related fields * Programming skills in Python * Proficient understanding of fundamental AI and ML techniques (e.g., A*, regularization) * Practical experience with statistical data analysis and experimental design * Curiosity, creativity, resourcefulness, and a collaborative spirit * Effective verbal and written communication skills with technical and business audiences * Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds * Interest in problems related to the financial services domain Preferred qualifications, capabilities, and skills * Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals) * Strong expertise in specialized areas such as deep learning (DL) or AI Agents * Practical experience with ML platforms such as TensorFlow/Keras, PyTorch * Comfort with rapid prototyping and disciplined software development processes * Practical software engineering experience in collaborative project settings * Hands-on experience developing and using AI Agents in a professional setting

You will lead and coordinate the development of multiple studies of novel biological and small molecules for first in human (FIH), proof of mechanism (POM), early signs of efficacy (ESOE) and proof of concept (POC) studies in Oncology. You will work in close collaboration with the Global Development Lead (GDL)and members of the development team to establish, lead, coordinate, and execute the early oncology clinical development plan(s). You will lead the development of the clinical protocol and participate as an individual contributor on clinical teams with Pfizer development operations and the project team, to meet enrollment and study delivery timelines. You will also work with other functional disciples to ensure the full scope and remit of Oncology Early Stage Development (OESD) is represented as need within clinical study teams (e.g. Research Units, Biostatistics, Clinical Pharmacology, Precision Medicine, and Digital Medicine). Responsible for scientific leadership and execution of clinical studies and delivering on innovative clinical study designs, high quality trial execution, safety assessment and interpretation of clinical study results Set the clinical data review strategy, ensure quality data and conduct review of emerging clinical data and trends; review and query data; present and discusse relevant data to appropriate teams, governance bodies, and other internal and external stakeholders Conduct data review, analysis and interpretation of clinical trials data together with the GDL, Clinical Safety, and Biostatistics. Serve as technical resource for clinical issues raised by internal and external collaborators, investigators, consultants and contractors May sit on project teams to support clinical development implementation and contribution to key development milestones, e.g. start-up and delivery of ESoE and PoC trials. Participate in project teams to help implement clinical development and contribute to key milestones (e.g., Lead the preparation of clinical protocols and support other critical documents including clinical development plans, INDs, annual reports, clinical study reports (CSRs), investigator brochures, statistical analysis plans, and regulatory documents. Foster a transparent environment that builds strong partnerships and mutual trust among teams and therapeutic areas. Coordinate with other clinical research activities within Oncology Research Development (ORD) and the broader Worldwide Research and Development (WRD) organization. Develop effective collaborations with key internal and external partners, such as project leaders, research units, biostatistics, regulatory affairs, clinical pharmacology, human genetics, translational oncology, precision medicine, and development operations. Partner with Translational Oncology and Biomarker teams to ensure biomarker plans are integrated into relevant programs for early efficacy signs and POC, as well as patient stratification. Establish and support relationships with external experts, consultants, key opinion leaders, regulators, and investigator networks to integrate the latest clinical thinking and guidelines into development plans and study designs, as well as manage study recruitment, analysis, interpretation, and presentation of results. Maintain up-to-date knowledge of scientific and clinical literature in relevant therapeutic areas, including key clinical development issues. Relevant PhD or PharmD and a minimum of 5 years of experience in a similar role in industry/CRO, OR Clinical Research experience in Phase 1 in Oncology, on the side of the sponsor leading studies Experience in or strong understanding of Oncology Drug Development especially in Early Development Strong scientific writing skills and communication skills (written and verbal) Clinical document writing experience (e.g., protocol, ICD, IB, IND), as well as understanding complex data analysis. Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations. Clinical Operations, Data Management, Safety, Biostatistics, Regulatory, Study Management, Pre-Clinical, Pharmacology, Quality Assurance. Experience building consensus and driving change across all levels of the organization including senior management. Data listing review experience Experience performing complex data analyses using JReview, SpotFire, SOCs-PRO or other similar platform Perform complex data analysis NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS 5-10% Travel Work Location Assignment: Hybrid In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.Pfizer compensation structures and benefit packages are aligned based on the location of hire. Relocation assistance may be available based on business needs and/or eligibility. Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Medical

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities Conduct end-to-end research typically within Natural Language Processing (NLP) Collaborate with internal and external researchers and with applied engineering teams Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills PhD in Computer Science or related field or a MS with at least 3 years of experience in the field Research publications in prominent NLP venues; e.g., conferences, journals Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. Proficiency with rapid prototyping and disciplined software development processes Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills Extensive programming skills in Python, Java or C++ Interest in problems related to the financial services domain (specific past experience in the domain is not required)

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. **Job responsibilities** + Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning + Collaborate with internal and external researchers and with applied engineering teams + Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research + Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals + Participate in relevant top-tier academic conferences to broaden the impact of your contributions **Required qualifications, capabilities, and skills** + PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field + Research publications in prominent AI venues; e.g., conferences, journals + Strong expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, ... + Optional: expertise in synthetic data, generative AI, protecting our customers clients and institutional knowledge (e.g., differential privacy, machine unlearning, membership/reconstruction attacks), LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series reasoning and foundational models) + Proficiency with rapid prototyping and disciplined software development processes + Expertise in software engineering within collaborative project settings **Preferred qualifications, capabilities, and skills** + Extensive programming skills in Python (required), Java or C++ (optional) + Interest in problems related to the financial services domain (specific past experience in the domain is not required) 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** New York,NY $128,250.00 - $195,000.00 / year