Research scientist jobs in Old Bridge, NJ

A recognized company in New Jersey is actively seeking a new Senior Scientist to join their growing Health Economics Resources initiatives. In this role, the Senior Scientist will be responsible for supporting the design, execution, and communication of observational studies using diverse RWD sources. Responsibilities: Support implementation of strategies to demonstrate the unmet need in disease with focus on outcomes meaningful to payers, clinical decision-makers, and regulators Assist with research to generate evidence necessary to demonstrate product differentiation and value for commercial/market access needs support clinical development, regulatory and safety needs (real-world evidence and epidemiology studies) Partner with CORE asset leads in development and execution of RWE studies delivered through hands-on analytics execution Evaluate new and emerging data modalities (e.g., claims, EHR, social determinants of health, genomics, biomarkers, clinical notes) and conduct feasibility assessments to match study objectives with optimal RWD sources (claims, EHR, registries, patient-generated data) Execute studies by managing table shells, analytic data file, analysis plan, programming, statistical methods, and quality control per regulatory and scientific standards Conduct quality assurance and code validation, review programming code and data Draft analysis reports and support the final publication/presentation of results Perform other duties, as needed Qualifications: 3+ years of experience in Real-World Evidence Generation and Epidemiology Analytics Graduate (PhD or Masters) degree in Epidemiology, Biostatistics, Public Health, or related field Working knowledge of the structure and caveats of Healthcare Claims Databases, Electronic Medical Records and/or Hospital Billing Data, Cancer Registry Data (SEER), Linked Dataset, etc. Knowledge in Epidemiologic and Statistical concepts, such as confounding, bias, cumulative incidence, incidence rate, regression models, survival analyses. Knowledge of Research Design and an ability to apply appropriate Statistical Methods common in outcomes research & epidemiology (survival analysis/modeling, regression analysis, IPTW, MAIC, causal inference, etc) Hands-on proficiency in Statistical Programming (SAS, R, Python) on Real-World Oncology Claims / EHR Data & AI/ML frameworks Solid problem solving and time management skills Great interpersonal skills Excellent communication skills (written and verbal) Strong attention to detail Highly organized Able to multitask efficiently and effectively Desired Skills: Oncology experience

Only local candidate needed. NO C2C Please do not apply if you are staying outside of New Jersey. Job Title: Senior Scientist-Health Economic Resources Duration: 6+ Months Position Overview We are seeking a Senior Scientist, Health Economic Resources / Real-World Evidence (RWE) to support the design, execution, and communication of observational studies using diverse real-world data (RWD) sources. This role focuses on generating evidence to demonstrate unmet medical need, product value, and differentiation for clinical development, market access, regulatory, and health-policy decision-making. This position supports the Center for Outcomes Research, Real World Evidence and Epidemiology (CORE) and reports to the Head of RWD & Epidemiology Analytics. The role requires strong technical expertise in epidemiology, advanced analytics, and AI-driven methodologies. Key Responsibilities Support implementation of strategies to demonstrate unmet disease needs with outcomes meaningful to payers, clinical decision-makers, and regulators. Assist with research to generate evidence supporting: Product differentiation and value for commercial and market access needs Clinical development, regulatory, and safety requirements through RWE and epidemiology studies Partner with CORE asset leads to design and execute RWE studies through hands-on analytics. Evaluate and assess emerging data modalities (e.g., claims, EHR, registries, social determinants of health, genomics, biomarkers, clinical notes) to ensure optimal data-source selection. Execute studies including development of table shells, analytic datasets, analysis plans, programming, statistical methods, and quality control in compliance with regulatory and scientific standards. Manage projects and external vendors/partners supporting CORE initiatives. Conduct quality assurance, code validation, and programming review. Explore, pilot, and scale AI-driven analytics applications within RWD and epidemiology workflows. Draft analysis reports and support publications and presentations at scientific conferences and forums. Collaborate cross-functionally with development, commercial, market access, safety, legal, and medical affairs teams. Support communication and publication strategies for assigned products. Required: Graduate degree (PhD or Master's) in Epidemiology, Biostatistics, Public Health, or a related field. 3+ years of experience in real-world evidence generation and epidemiology analytics. Working knowledge of healthcare data sources, including: Claims databases Electronic health records (EHR) Hospital billing data Cancer registries (e.g., SEER) Linked and longitudinal datasets Strong understanding of epidemiologic and statistical concepts (e.g., confounding, bias, incidence, regression models, survival analysis). Experience applying statistical methods used in outcomes research and epidemiology, such as: Survival analysis and modeling Regression analysis IPTW, MAIC, and causal inference techniques Hands-on proficiency in statistical programming (SAS, R, Python) using real-world oncology claims/EHR data. Experience with AI/ML frameworks applied to healthcare data. Preferred: Oncology experience

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

A large life sciences/medical device client of ours is looking for a Polymer Science to join their team in the Raritan, NJ area. 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. REQUIRED SKILLS AND 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 AND EXPERIENCE -Experience in a GLP/GMP environment -Experience with medical devices -Experience with test method development

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

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Job Title: Principal Associate, User Experience Research Operations Type: Full Time Our Client is seeking a Principal Associate in User Experience Research Operations to lead process enhancements and drive scalable efficiency in dynamic research and design environments. Key Responsibilities Lead process optimization efforts, building autonomous systems to boost team productivity across the organization. Champion governance standards for ethics, privacy, and data protection in all research and design projects. Develop and expand a knowledge library of research practices, resources, and templates to promote consistency. Advance research advocacy by engaging communities of practice and introducing innovative evangelization methods. Manage project logistics and systems, partnering with research and design teams to deliver scalable solutions. Basic Qualifications 4+ years in UX/Research Operations, project management, or process improvement. 2+ years collaborating directly with Research or Design teams. Preferred Qualifications Exceptional communication skills across all levels. Systems thinking expertise for scaling teams with high-quality practices. Strategic foresight to solve complex cross-functional challenges. Proven project management with tools like Jira and Confluence, plus experience in regulated environments and research vendors.

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 Fine Lab The Fine lab is a Neuro-oncology research group that makes use of complex 3D human brain tumor models (GLICOs: ********************************************* ********************************************* to perform translational research into glioblastoma. We are a diverse, multinational and interdisciplinary team (MD/PhDs, cell/ molecular biologists, veterinarians & bioinformaticians) with a vibrant research and training environment in the Tri-Institutional Campus of New York City. We have secure funding and exceptional access to patient tissue/cell lines, as well as cutting edge scientific resources and training. The Role The successful candidate will be trained to work with embryonic stem cell-derived cerebral organoids interfaced with tumor stem cell biology, to facilitate High Throughput drug screenings. They will be a key personnel of the incipient Starr Foundation Cerebral Organoid Translational Core and will report to its supervisor. In achieving this goal, the candidate will have the opportunity to perform, and receive training in, a wide range of laboratory techniques including: reprogramming of induced pluripotent stem cells (iPSCs), embryonic and induced pluripotent stem cell culture, the generation and culture of cerebral organoids and tumor organoids and the use and development of cell based assays to test novel therapeutic drug candidates, and cutting edge gene editing and molecular biology techniques. They will be an integral member of the lab with the ability to work independently, contribute to experimental design, interpret and present your results to the wider team, and receive recognition through authorship on published work. Job responsibilities Collect and process biological patient specimens to establish glioma stem cell lines. Perform routine human iPSC/ESC culture. Generation and maintenance of hESC-derived cerebral organoids. Perform 2D and 3D high-throughput drug screening using luminescence-based assays. Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting. May run routine biochemistry assays including western blotting and RT-PCR. May perform routine molecular biology laboratory procedures, such as PCR, DNA electrophoresis, cloning and DNA preparation. May perform microscopic imaging analyses. Minimum requirements: • Commitment to delivering meaningful advancements that directly enhance patient care and well-being. • Bachelor's degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry) or equivalent practical experience. • One year ‘wet lab' work experience, including mammalian cell culture. • Strong teamwork skills with a proven ability to effectively interact and collaborate with other scientific disciplines. • Must currently be authorized to work in the United States to ensure immediate onboarding and integration into the team. Preferred qualifications • Master's or Ph.D. degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry). • Experience culturing human stem cells (hESCs/ iPSCs) and 3D models. • Significant hands-on cell based assays for high throughput drug screening. • Experience generating stable, genetically engineered cell lines; working with lentivirus. • Experience in biochemistry assays including western blotting and RT-PCR. The position will be subject to annual approvals based on performance, with a starting salary commensurate with qualification and experience. It will require flexibility to work a few hours twice per month over the weekend given the nature of cerebral organoid generation procedures. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. Minorities are strongly encouraged to apply.

You will be responsible for scientific oversight, data integrity and quality of clinical trial(s) in support of the development strategy for programs within the Late-Stage Oncology portfolio. Clinical development expert for assigned studies maintaining current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment. Effectively partner with other clinical and medical colleagues, clinical operations and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program. Responsible for scientific oversight, data integrity and quality of the clinical trial(s). Represent the study team in governance meetings and submissions, partners with/supports the Development lead/Medical Director regarding study and disease area strategy. Author protocols, study level informed consent documents, and contributes to authoring of IBs, site training materials, clinical study reports, regulatory responses, and other clinical and regulatory documents; supports preparations for Health Authority meetings, participates as appropriate. Set the clinical data review strategy and leads the team in the collection of quality data and review of emerging clinical data and trends; reviews and queries data; presents and discusses relevant data to appropriate teams, governance bodies, and other internal and external stakeholders. In close partnership with medically qualified colleague/s, analyze the emerging safety profile of the drug, keeping the clinical and safety colleagues informed of changes in the safety profile as they occur in the assigned trial(s). Follow relevant SOPs and regulations, has an excellent understanding of and complies with applicable trainings, seeks opportunities to further improve quality and efficiency of clinical procedures; PhD/Pharm D in a relevant Science discipline and minimum of 5 years Clinical Research experience in industry/CRO, OR MS in a relevant Science discipline and minimum of 7 years of Clinical Research experience in industry/CRO OR BA/BS in a relevant Science discipline and minimum of 10 years Clinical Research experience in a similar role in industry/CRO Clinical Research experience in the phase 3/pivotal space in Oncology, ideally on the side of the sponsor and with a track record of successful regulatory submission, inspection, and regulatory approval Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-clinical, Pharmacology, Quality Assurance Experience working on large data sets Proficiency with Microsoft Office and relevant scientific software Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations Experience building partnerships across the company to achieve the needs of the program Experience in Hematology Oncology Demonstrates passion for helping patients with cancer and for the science of oncology Flexibility to adapt and navigate through an ever-changing work environment while maintaining integrity and quality in the work assigned Demonstrates autonomous delivery, problem-solving, and agile decision-making in execution of Clinical responsibilities Promotes team health and exemplifies Pfizer's leadership behaviors and actionable attitudes Leverages knowledge and support from others related to overall objectives, strategy, critical issues, and policies Promotes innovation and takes appropriate risks to challenge the status quo in order to enhance the efficiency of current processes Embraces evolving technologies and adopts best practices aimed at improving the efficiency and quality of clinical development Works well in a diverse team environment with colleagues from diverse cultures, backgrounds, and geographies. 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. 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

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The US Card Acquisitions Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions of a new credit card customer. We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make As a key member of Recursion's portfolio-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion's massive data and compute capabilities. You will be the primary computational lead for multiple IND and clinical stage drug development programs and will be expected to use platform and patient data to advance our most promising therapeutic candidates through clinical trials. You will be responsible for the evaluation of therapeutic hypotheses using internal and external data to identify candidate biomarkers to measure in translational studies and in phase I-II clinical trials. This is a highly collaborative role: you will partner with biologists, clinicians, platform and data engineers, and translational experts to develop and scale methods that bring patient insights and reverse translation to the forefront of our medicines portfolio. The ideal candidate has strong stakeholder management, the ability to independently scope and prioritize with ambiguous or conflicting information, and is motivated to look under every stone to do the right thing for patients. In this role, you will: * Evaluate the molecular evidence for predictive and PD biomarker hypotheses in translational models and clinical samples (DNA, RNA, ct DNA, and novel exploratory modalities) * Pilot novel methods for patient stratification and indication selection or expansion * Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, patient-derived) datasets * Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients * Industrialize analysis approaches to not only solve for the current project, but also accelerate future projects and scale the impact that we can have * Collaborate cross-functionally with Recursion's data science, platform, ML and clinical teams to further advance Recursion's ability to leverage our own clinical data in meta-analysis, hypothesis generation, and reverse translation The Team You'll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. You will work extensively with scientists across the organization to advance milestones, provide insights, and drive decisions that advance Recursion's capabilities and increase our likelihood of success. Essential attributes for this role include a bold, execution-first attitude and passion for deploying rigorous science to develop life-changing medicines. We partner closely with biologists, translational scientists, and clinicians to design and execute decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and are supported by computational leadership in designing scalable and reproducible experiments that advance multiple programs at once. Our team works closely with computational biologists in other therapeutic areas (neurobiology, immunology and inflammatory diseases, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You'll Need * PhD in a relevant field (computational biology, systems biology, bioinformatics, cancer biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery * Experience with high dimensional patient biomarker data from clinical trials in oncology * Strong understanding of patient genetics and druggability of disease relevant pathways * Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R * Deep expertise in the analysis and data integration of two or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics) including experience with matched clinical and molecular patient data * Exceptional data visualization skills * Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations Nice To Have: * Experience with late stage drug discovery and IND submission * Experience collaborating cross-functionally with biometrics, statistical sciences and clinical pharmacology departments Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $151,800 to $216,300 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Clinical Research Scientist Early Development We are seeking a motivated Clinical Research Scientist to join our Clinical Development team and support the execution of innovative clinical studies. This individual will work closely with senior scientists, physicians, and cross-functional partners to contribute scientific expertise, data insights, and clinical input across multiple programs. Key Responsibilities Assist in the design and development of study protocols and protocol amendments. Contribute to the preparation of clinical and regulatory documents, including sections of INDs, study reports, investigator brochures, and updates for health authorities. Provide scientific input into study tools such as case report forms, statistical analysis plans, and data output specifications. Participate in the review and interpretation of clinical safety and efficacy data;support data monitoring activities throughout study conduct. Collaborate with internal study teams and external partners (CROs, vendors, investigators) to ensure high-quality study execution. Present study progress and scientific updates to project leadership and cross-functional committees. Support preparation of data for abstracts, posters, presentations, and manuscripts. Stay informed on evolving therapeutic landscapes, competitive intelligence, and standards of care relevant to assigned programs. Qualifications Advanced degree in a life science discipline preferred (Pharm.D., Ph.D., or equivalent). 1 3 years of experience in clinical research, with at least 1 year in drug development or industry setting. Background in oncology or hematology is a plus. Strong analytical skills and attention to detail, with ability to interpret and communicate complex data. Excellent organizational, written, and verbal communication skills. Ability to work effectively in a fast-paced, collaborative environment and manage multiple priorities. Willingness to travel occasionally (up to ~20%). Kaztronix is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, veteran status or any other consideration made unlawful by federal, state or local laws. In addition, all human resource actions in such areas as compensation, employee benefits, transfers, layoffs, training and development are to be administered objectively, without regard to race, color, religion, age, sex, national origin, disability, veteran status or any other consideration made unlawful by federal, state or local laws. By applying to the position, you acknowledge that your information will be used by Kaztronix in processing your application.

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.

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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

At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit, but a high-tech company with products that reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry. At Capital One, you will help shape how it transforms financial services. Team Description AI Foundations LLM Customization team is at the center of bringing our vision for LLMs and GenAI at Capital One to life. Our work touches every aspect of the research life cycle, from research to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features. Build NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning Experience with Large Language Models (LLM), Finetuning, and Deep Learning Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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.