Data Analyst jobs at NYU Lutheran Medical Center - 36 jobs

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Data Analyst. In this role, the successful candidate designs and performs statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (CSTAR) leadership team. Job Responsibilities: Analyze clinical data using machine learning techniques to support research outcomes. Develop and maintain models using frameworks like PyTorch or TensorFlow, ensuring they are suitable for handling large-scale datasets. Apply natural language processing methods to interpret and analyze medical texts and patient data. Collaborate with research teams to design and implement models that address specific research questions. Continuously update and refine models based on new research findings and emerging data. Assist in preparing research papers and presentations by providing data-driven insights and analysis. Participate in research meetings and contribute to discussions on methodology and results interpretation. Ensure compliance with data privacy and protection guidelines when handling sensitive medical data. Contribute original thoughts, hypotheses, and analysis to write reports, abstracts, and manuscripts under faculty supervision Support grant proposal submissions and support funder reports for NIH funded Liaise with senior researchers at other institutions to conduct analyses on behalf of national scientific committees Prepare interim reports to summarize ongoing cohort studies for principal investigators, study staff, and data safety and monitoring boards Under faculty supervision, design analytical strategies for research proposals and draft statistical analysis plans for grants Performs miscellaneous job duties as assigned Minimum Qualifications: To qualify you must have a Bachelor's or Master's degree in a related discipline (computer science, mathematics, electrical engineering, or related discipline) Practical experience in natural language processing (NLP) and analyzing clinical data. Strong computational and programming skills Familiarity with advanced machine learning and deep learning applied to large datasets. Competence in using machine learning frameworks such as PyTorch or TensorFlow. Understanding of representation models, multi-modal models, and self-supervised learning. Open to candidates with foundational skills in machine learning and data analysis, even if not all advanced criteria are met Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information; Strong attention to detail Demonstrated organizational skills, self-motivation, flexibility, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment Preferred Qualifications: Excellent written and verbal communication skills Excellent data visualization skills Experience with observational studies using EHR data. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $64,350.00 - $85,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

For 75 years, Charles River employees have worked together to assist in the discovery, development and safe manufacture of new drug therapies. When you join our family, you will have a significant impact on the health and well-being of people across the globe. Whether your background is in life sciences, finance, IT, sales or another area, your skills will play an important role in the work we perform. In return, we'll help you build a career that you can feel passionate about. We are seeking a Sr. Data Central Coordinator for our Safety Assessment site located in Reno, NV. BASIC SUMMARY: Responsible for Data Central support activities and providing assistance with compilation of final reports. Log notebooks/data in, maintain document control and chain of custody records, ensure document security within Data Central, transfer of study date to archives on day of finalization, track documents logged out and ensure their timely return. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Ensure the security and control of documents and data logged into Data Central. * Maintain and assure accuracy of Data Central records. * Maintain logbook and spreadsheet for all data books that are in circulation throughout the company. * Provide Data Central service to all user departments and individuals by tracking, scanning, filing and organizing data. * Communicate with user departments and individuals to ensure timeliness of data to be logged in and timeliness for return of data. * Ensure necessary study documents are forwarded to archives in a timely fashion. * When performing quality control, ensure that tables are an accurate representation of data as indicated by the protocol and its amendments. * Vector Control on a weekly basis and quarterly change outs * Storage room study data auditing. * Communication with all necessary departments to ensure study data is complete for transfer to Archives 48 hours in advance and day of finalization. * Assist in providing, coordinating, and scheduling and training for junior Data Coordinators. * Develop new, review, and/or revise current processes SOPs pertaining to Data Central. * Promote inter- and intra-departmental communication in order to facilitate and maximize performance associated with Data Central. * Develop, write, revise, train and communicate new processes and procedures to department personnel. Interact with department manager, other departments, and process advisors to facilitate implementation of departmental system pertaining to Data Central. * Conduct sponsor visits to Data Central. * Maintain department supplies. Monitor inventory and place supply request when needed. * Perform all other related duties as assigned. MINIMUM QUALIFICATIONS: * Education: High school diploma or General Education Diploma (G.E.D.). * Experience: 2-3 years related experience in document management, library records or archiving. * An equivalent combination of education and experience may be accepted as a satisfactory substitute for the specific education and experience listed above. * Certification/Licensure: None. * Other: Must have strong organizational and communication skills and be computer literate. About Safety Assessment Charles River is committed to helping our partners expedite their preclinical drug development with exceptional safety assessment services, state-of-the-art facilities and expert regulatory guidance. From individual specialty toxicology and IND enabling studies to tailored packages and total laboratory support, our deeply experienced team can design and execute programs that anticipate challenges and avoid roadblocks for a smooth, efficient journey to market. Each year approximately 300 investigational new drug (IND) programs are conducted in our Safety Assessment facilities. About Charles River Charles River is an early-stage contract research organization (CRO). We have built upon our foundation of laboratory animal medicine and science to develop a diverse portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non-GLP, to support clients from target identification through preclinical development. Charles River also provides a suite of products and services to support our clients' clinical laboratory testing needs and manufacturing activities. Utilizing this broad portfolio of products and services enables our clients to create a more flexible drug development model, which reduces their costs, enhances their productivity and effectiveness to increase speed to market. With over 20,000 employees within 110 facilities in over 20 countries around the globe, we are strategically positioned to coordinate worldwide resources and apply multidisciplinary perspectives in resolving our client's unique challenges. Our client base includes global pharmaceutical companies, biotechnology companies, government agencies and hospitals and academic institutions around the world. At Charles River, we are passionate about our role in improving the quality of people's lives. Our mission, our excellent science and our strong sense of purpose guide us in all that we do, and we approach each day with the knowledge that our work helps to improve the health and well-being of many across the globe. We have proudly worked on 80% of the drugs approved by the U.S. Food and Drug Administration (FDA) in the past five years. We're committed to providing benefits that elevate your quality of life. Based on your position these may include: bonus/incentives based on performance, 401K, paid time off, stock purchase program, Health and wellness coverage, employee and family wellbeing support programs, and work life balance flexibility. Equal Employment Opportunity Charles River is an equal opportunity employer and is committed to providing equal employment opportunities for all qualified applicants and employees without regard to race, color, sex, religion, national origin, ancestry, age, mental or physical disability, family status, pregnancy, military or veteran status, or any other characteristic protected by federal, state, or local laws. It is unlawful in some states (including Massachusetts) to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. If you are interested in applying to Charles River Laboratories and need special assistance or an accommodation due to a disability to complete any forms or to otherwise participate in the resume submission process, please contact a member of our Human Resources team by sending an e-mail message to crrecruitment_**********. This contact is for accommodation requests for individuals with disabilities only and cannot be used to inquire about the status of applications. For more information, please visit *************** 231720

Job DescriptionSalary: $16-$19 Hillcrest Medical Research is looking for a Clinical Research QA/ Data Entry Coordinator. The QA/Data Entry Coordinator provides data quality expertise in relation to all clinical research trials. Ensure that highest standards of data quality and study participant safety are maintained, as well as adherence to study protocols, HMR SOPs, Site Working Practices (WPs), ICH GCP, Code of Federal Regulations, and IRB Guidelines. Essential Functions & Responsibilities: Duties include but not limited to : Experience with clinical trial data Excellent data quality and management skills Excellent organizational and time management skills Excellent oral communication skills Reviews follow-up monitoring visit reports, protocol deviation logs, and quality findings trackers for trend analysis. Performs ongoing review of a percentage sampling of study inclusion/exclusion, study procedure records, and laboratory reports to ensure that they are conducted according to the protocol, applicable SOPs, ICH/GCP guidelines and federal regulations. Performs quality review of initially created source documentation, including amendments, to ensure all protocol required procedures are present. Prepares for internal and external audits and FDA inspections. Attends staff meetings. Attends site initiation visits as needed. Assumes other duties and responsibilities as assigned. The above responsibilities are a general description of the level and nature of the work assigned to this classification and are not to be considered as all inclusive. Duties: Transcribe patient research data from source documents into sponsor data management systems (e.g., eCRFs) Manage data entry timelines according to sponsor requirements Manage data query resolution Proactively identify data discrepancies and work with research coordinators to prevent recurrence Perform QC activities when reviewing source documentation. Inform supervisor and research coordinator of findings and items that require resolution Translate data quality results into clear business impact statements to help understanding and adoption of data management practices Maintain compliance with all company policies and procedures Knowledge/Skills/Abilities: Must be self-directed and able to work with minimal supervision; Must have in depth knowledge of FDA regulations. GCP, and ICH guidelines; Able to take a flexible approach to shifting priorities; Able to manage multiple projects and responsibilities; Motivated to work consistently in a fast paced and rapidly changing environment; Must be detail oriented and have exceptional computer, organizational, and communication skills both written and oral. Must reflect the professional image of the company, upholding the company vision in actions, demeanor, and appearance. Must be able to clearly communicate through written and verbal means with sponsors and staff. Qualifications: Knowledge of ICH/GCP preferred Experience with various electronic data entry systems Detail-oriented Strong critical thinking skills Strong ability to multitask Strong computer skills Ability to communicate clearly and effectively (written and oral) Excellent interpersonal and customer service skills Hillcrest Medical Research is an equal opportunity employer. Decisions of employment are made based on business needs, job requirements and applicants qualifications without regard to race, color, religion, gender, national origin, disability status, protected veteran status, genetic information and testing, family and medical leave, sexual orientation, gender identity or expression or any other status protected by law. Hillcrest Medical Research is a drug-free work place and all offers of employment are contingent upon passing a pre-employment drug screen.

Job Description Mantra Health is an award-winning digital mental health provider on a mission to make evidence-based care more accessible to students. We partner with colleges and universities to offer comprehensive virtual mental health services, including therapy, psychiatry, 24/7 crisis care, emotional wellness coaching, and self-care content. Our technology solutions seamlessly integrate with campus health systems to enhance student well-being and improve graduation rates. Recognized as a leader in digital mental health, Mantra Health was named a Rising Star by the UCSF Digital Health Awards and won Juniper Research's Gold Star for Best Digital Therapeutic Solution. Today, our programs support over 900,000 students across 125+ campuses, including Penn State, MIT, and Miami Dade College. We've raised over $34M from leading investors and we're looking for ambitious, talented, action-oriented individuals to join us in shaping the future of student mental healthcare. Opportunity for Impact Mantra Health is seeking a Senior Data Scientist to help advance Beacon, an intelligence platform designed to improve student well-being, success, and retention. This role sits at the intersection of product, engineering, and strategy-turning complex data into clear, actionable insights that help institutions understand not just what is happening, but what to do next. This is a highly visible, senior individual-contributor role with meaningful ownership and executive exposure. The right candidate brings strong analytical judgment, excellent communication skills, and the ability to translate data into compelling narratives that demonstrate real-world impact and ROI while continuously enhancing Beacon capabilities. What You'll Do Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs. Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle-from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale. Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery. Drive Scalable, Technology-Enabled Improvement: Lead efforts to apply technology-driven solutions that deepen understanding of each student while supporting a rapidly growing population. Continuously improve how insights are generated, delivered, and acted upon to ensure Beacon scales without sacrificing quality or clarity. Who You Are Adaptable and Pragmatic: You are comfortable navigating ambiguity and evolving priorities. You adapt your approach as new information emerges and focus on practical solutions that balance rigor with speed. Strong Analytical Judgment: You bring a solid foundation in statistics and applied analytics, with the ability to choose appropriate methods for the problem at hand. You understand concepts such as confidence intervals, bias, and tradeoffs, and apply them thoughtfully in real-world contexts. Product-Oriented Data Scientist: You have experience working on analytics that directly influence product direction or business decisions. You understand how to define meaningful metrics, evaluate impact, and connect insights to outcomes. Technically Proficient: You are proficient in Python and SQL and comfortable working with modern data stacks, pipelines, and large datasets. You value clean, well-documented, reproducible work and collaborate effectively with analytics and engineering partners. Clear Communicator: You can explain complex analytical concepts to non-technical audiences and focus on the "so what." You tell compelling stories with data that resonate with executives, partners, and cross-functional teams. Mission-Aligned: You are motivated by improving student wellbeing and care access. You care about responsible data use, ethics, and outcomes, and you bring a "Grow Our Impact" mindset to your work. Must-Have Qualifications: Professional Experience: 4+ years of experience in data science, analytics, or a related field, including delivering analytics, models, or data products used in production environments. Domain Experience: Experience working in healthcare, education, fintech, or other regulated or data-sensitive industries. Familiarity with healthcare or education data is a strong plus and will help you ramp more quickly. Applied Product Analytics: Demonstrated experience applying data science in a product-driven context. You have worked on initiatives that directly informed product direction or business decisions, rather than purely exploratory or academic work. Technical Proficiency: Strong proficiency in Python and SQL for data analysis. Comfortable working with large datasets, writing complex queries, and using Python-based libraries to clean, analyze, and interpret data. Statistical Judgment: Solid grounding in statistical analysis and experimental thinking. You can design and evaluate analyses with appropriate rigor and clearly interpret results, balancing precision with practical decision-making. Communication Skills: Proven ability to communicate insights and analytical concepts to diverse audiences. You can produce clear visualizations or presentations and explain the "so what" to inform decisions at multiple levels of the organization. Cross-Functional Collaboration: A team-oriented mindset with experience working closely with Product, Engineering, Design, or Clinical partners to deliver shared outcomes. Ownership & Accountability: High degree of self-direction and accountability. You take initiative, manage your time effectively, and can independently drive projects from problem definition through execution and follow-through. Preferred Qualifications: AI & LLM Experience: Experience applying natural language processing techniques or working with large language models, even in experimental or early production contexts. Production Analytics or ML Exposure: Experience supporting analytics or machine-learning systems in production, including validation, monitoring, or iteration over time. Data Visualization & BI Tools: Familiarity with tools such as Looker, Tableau, or similar platforms for communicating trends and insights prior to full productization. Advanced Education: An advanced degree in a quantitative field (e.g., Statistics, Data Science, Computer Science, Engineering) is a plus, but not required. Why Choose Mantra Impactful Opportunity: Your work will directly influence how institutions understand and support student mental health. The insights you deliver can guide real decisions that help students access care sooner and more effectively. Professional Growth: This is a high-ownership role within a strategic product area. You'll deepen your analytical and technical skills while expanding your product thinking and business impact through close collaboration with senior leaders. Collaborative Culture: At Mantra, we value empathy, inclusion, and intellectual curiosity. You'll join a mission-driven team that collaborates closely and supports continuous learning. Career Advancement: As Mantra continues to grow, this role offers opportunities to expand scope and influence over time. We invest in our team's long-term success and support individuals as they take on increasing responsibility. Compensation & Benefits Compensation: $150,000 - $200,000 Pay range may vary by location and is commensurate with experience and market rates. At Mantra, our distributed team is our secret sauce that allows us to support our mission everyday. We're collaborative, empathetic, and curious. We take time to celebrate our wins and learn from our mistakes. Each full-time employee at Mantra enjoys: Stock Options Medical, vision, and dental coverage for employees, spouses, and dependents 401(k) Flexible work location Generous PTO, sick days, jury duty days, and bereavement. Three week sabbatical and $3,000 stipend after five years of continuous full-time employment Inclusive parental leave, equal for all parents $1,000 new-parent mental wellness benefit Commuter card, if you commute Access to One Medical Healthcare & Dependent Care FSA Join us in shaping the future of student mental healthcare through data! If you're excited by the opportunity to build life-changing technology and have the skills and passion to match, we'd love to meet you. Apply today to help us transform mental health support for the next generation. Note: This role is open to candidates based in the United States. We are a remote-friendly team (with a slight preference for New York-based candidates for occasional in-person collaboration). Mantra Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Your work will change lives. Including your own. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: * Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. * Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. * Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. * Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. * Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. * Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. * Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need * PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. * Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). * Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. * Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. * Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. * Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. * Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. * Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have * Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. * Fine-tuning LLMs on scientific corpora for domain-specific reasoning. * Integrating LLMs with experimental or proprietary assay data in live scientific workflows. * Background in drug discovery and target identification. * Meaningful contributions to open-source libraries, research codebases, or community-driven tools. 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 $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI 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.

**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job Title ERP Data Specialist Join our Tampa team as an ERP Data Specialist and play a key role in managing and improving data processes in SAP. You'll help ensure accuracy and efficiency that supports our operations and drives innovation. What you will get An agile career and dynamic working culture. An inclusive and ethical workplace. Compensation programs that recognize high performance. Medical, dental and vision insurance. Our full list of global benefits can be found here: *************************************** What you will do Create and manage ERP (SAP) data, ensuring accuracy and consistency. Maintain item codes, BOMs, recipes, and operation parameters in SAP. Support SAP users and monitor approval workflows to meet GMP requirements. Partner with finance to ensure accurate Bill of Materials updates. Drive process improvements for new part setup and data integrity. Generate KPIs and analyze trends to support business goals. Collaborate with internal teams to develop solutions for data improvement. What we are looking for Bachelor's degree or equivalent experience required. 2+ years of experience in data management or supply chain. Knowledge of SAP systems and material master data processes required. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, evolving environment. Detail-oriented and committed to accuracy and compliance. About Lonza At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone's ideas, big or small, have the potential to improve millions of lives, and that's the kind of work we want you to be part of. Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you're ready to help turn our customers' breakthrough ideas into viable therapies, we look forward to welcoming you on board. Ready to shape the future of life sciences? Apply now.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Data Analyst in Optimization Research. In this role, the successful candidate will design and perform optimization and simulation analyses under the supervision of the Center of Surgical and Transplant Applied Research (C-Star) leadership team. Job Responsibilities: * Design and perform optimization and discrete event simulation analyses under the supervision of the Center of Surgical and Transplant Applied Research (C-Star) leadership team * Serve as an optimization analyst to the Center of Surgical and Transplant Applied Research (C-Star), using a range of systems including the Scientific Registry for Transplant Recipients' Organ Allocation Simulators, transplantation registry data, optimization software such as IBM ILOG OPL/CPLEX, and general programming languages including Python. * Contribute original thoughts, hypotheses, and analysis to write reports, abstracts and manuscripts under faculty supervision * Support grant proposal submissions and support funder reports for NIH funded studies * Liaise with senior researchers at other institutions to conduct analyses on behalf of national scientific committees * Prepare interim reports to summarize ongoing cohort studies for principal investigators, study staff, and data safety and monitoring boards * Under faculty supervision, design analytical strategies for research proposals and draft optimization and simulation analysis plans for grants * Performs miscellaneous job duties as assigned Minimum Qualifications: To qualify you must have a Bachelor's or Master's degree in related discipline (operations research, computer science, mathematics, industrial engineering, public health) * Strong facility with IBM ILOG OPL/CPLEX, or other mathematical programming language * Strong facility with Python or other general programming language * Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information; Strong attention to detail * Demonstrated organizational skills, self-motivation, flexibility, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment Preferred Qualifications: * Strong facility with machine learning or artificial intelligence models * Excellent written and verbal communication skills * Excellent data visualization skills * Qualified candidates must be able to effectively communicate with all levels of the organization. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $64,350.00 - $85,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Your work will change lives. Including your own. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. Fine-tuning LLMs on scientific corpora for domain-specific reasoning. Integrating LLMs with experimental or proprietary assay data in live scientific workflows. Background in drug discovery and target identification. Meaningful contributions to open-source libraries, research codebases, or community-driven tools. 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 $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI 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.

Why Canopy USA? HSCP Service Company LLC is a subsidiary of Canopy USA, LLC, a leading vertically integrated, multi-state operator in the United States cannabis industry. With the transition of Acreage Holdings to Canopy USA, LLC in December 2024, Canopy USA, LLC is now positioned to consolidate operations across its three business units - Wana, Jetty, and Acreage - realizing synergies, cost savings, and supporting growth in state-legal markets across the U.S. Through coverage of key market segments including flower via Superflux, vape and concentrates via Jetty, edibles and beverages via Wana, and retail through The Botanist, Canopy USA, LLC is well positioned to accelerate growth with an emphasis on the Midwestern and Northeastern U.S. markets. As newly formed Canopy USA, LLC, we are building a stronger, more agile organization that will unlock greater opportunities across the growing US cannabis market. Who you'll work for: HSCP Service Company LLC Our Culture: Here at Canopy USA, LLC, we believe in people first. We value our people and encourage continuous opportunities to learn, develop, and grow. We pride ourselves in innovation and passion for the cannabis industry. We are always looking for motivated people who share our vision to join our team. Think you have what it takes? Then come grow with us! About the Role: The FP&A team is focused on supporting the firm in achieving its business goals from a financial viewpoint. To that end, the Financial Analyst is responsible for creating financial models, analyzing business results, and delivering insights into the business. Working in partnership with the Director of FP&A, the Financial Analyst will focus on effective business planning, resource allocation, and business performance. How you'll make a difference: * Reporting and analytics involving financials and other key performance indicators critical to operational management of the businesses * Participate and support FP&A projects and drive standardization and improvement of activities to generate efficiency both through logic building and automation * Develop financial models and management reporting packages to support business planning and execution * Participate in the annual budgeting and periodic forecasting processes. * Analyze financial results and provide commentary as required * Collaborate with other departments and cross-functional teams in measuring and analyzing projects and initiatives * Articulate financial concepts to non-finance business partners in a clear and concise manner * Perform other related duties as assigned Skills to be Successful: * Bachelor's degree in Finance, Accounting, or closely related field * Three or more years of relevant experience * Able to operate in a remote working environment * Exceptional verbal and written communication skills * 'Can-do' attitude - willing to contribute at all levels in a small but high performing team environment with strict deadlines and multiple demands * Knowledge of the Cannabis industry or Retail experience is preferred Computers and Technology * Highly proficient in Microsoft Word, Excel, PowerPoint * Experience with NetSuite, Microsoft Dynamics, Power BI, or Domo encouraged Perks & Benefits: * Full suite of medical, dental, and vision insurance * Paid parental leave * 401 (k) * Paid Time Off * Short Term and Long-Term Disability * Employee Assistance Program * Employee life insurance and supplemental life * Spouse and child life and AD&D * Pet insurance * FSA and HSA available * Based on eligibility. Schedule: * Monday-Friday Subject to change as business needs. Work Environment and Physical Demands: The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be requested to enable individuals with disabilities to perform the essential functions. Manufacturing environment that requires extended time standing, walking, bending and reaching. Ability to carry up to 50lbs for up to a distance of 100ft may be required. Occasional extended and repetitive use of arms, hands and fingers to cut and manipulate small objects. Ability to work in a humid and pollinated environment. E-Verify Participation Notice This Employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. What is E-Verify? E-Verify is an internet-based system that compares information from and employee's Form I-9, Employment Eligibility Verification, to data from the U.S. Department of Homeland Security and Social Security Administration records to confirm employment eligibility. Code of Conduct: All employees are expected to represent the values and maintain the standards contained in the Code of Conduct. HSCP Service Company LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, or protected Veteran status. We appreciate your interest in HSCP Service Company LLC. If you need assistance with completing an online application due to a disability, please send a request to **************************. Please be sure to include "Accommodation Request" in the subject line.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Data Analyst. The Brooklyn Data Station at NYU Grossman School of Medicine's Department of Population Health is a resource for finding, accessing, analyzing, visualizing, and communicating clinical and community-level data, with a focus on neighborhoods in New York City and Long Island. Housed in the Community Service Plan, Brooklyn Data Station is guided by principles of community-engaged research and works collaboratively with researchers, clinicians and community-based partners to help inform community needs and assets assessments, quality improvement initiatives, and applied research projects to improve population health. We are seeking a qualified data analyst to join our team to provide support with data management, analysis, visualization and communication of findings. Job Responsibilities: * Build and engineer workflows to access and manage data from secondary data sources * Support development of primary data collection tools through REDCap, including multi-lingual surveys, and create and manage analytic datasets and related codebooks * Collaborate with Family Health Centers and NYU Langone DataCore to write queries and conduct analysis of electronic health records data * Conduct descriptive data analysis from clinical and community-level data sources * Collaborate with faculty, staff and community partners to develop user-driven data visualizations and reports * Prepare and present results, reports, both oral and written, to a variety of audiences, concerning processes, results and impact * Support efforts to monitor and track Brooklyn Data Station requests processes Minimum Qualifications: To qualify you must have a Masters degree in a relevant field (e.g., statistics, biostatistics, epidemiology, data science, health services, public health, economics, public policy). Minimum of 2 years of relevant work or research experience. Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data visualization tools. Ability to work independently and collaboratively, manage multiple projects, and adapt to changing priorities. Familiarity with medical coding classification systems (ICD, CPT, LOINC, SNOMED). Preferred Qualifications: Proficiency in Spanish or Mandarin preferred. Familiarity with population and clinical health metrics. Prior experience working with electronic health record data. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $66,300.00 - $79,023.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Universal Orlando Resort believes in-person collaboration is key to our success. Many of our Team Members work in a hybrid capacity, contributing from the workplace a minimum of three days per week. There are also roles that require being on-site full time. Limited remote opportunities may be available within specific departments. You'll learn more about this during the recruitment process. JOB SUMMARY: Universal Destinations and Experiences (UDX) Consumer Insights is the core research function charged with designing, implementing, and interpreting primary, mixed method research to provide the organization with information on past, current, and future guests' experiences, sentiments, and profiles for both Universal Orlando Resort and Universal Studios Hollywood guests. The Consumer Insights team supports stakeholder groups throughout the organization, including Marketing & Sales, Operations, Entertainment, Creative, Product Planning, and Finance, providing data critical to immediate needs as well as mid and long-range planning efforts. The Research Analyst supports a variety of qualitative and quantitative research studies to better understand the perspective of the current and future UDX consumer. The Research Analyst will work collaboratively to support a robust portfolio of foundational and ad hoc research, including tracking studies, event-based research, guest satisfaction studies, and custom research. The Analyst will write, program, analyze, and report surveys to provide the organization. MAJOR RESPONSIBILITIES: Maintain ongoing research studies that provide actionable insights and monitor business performance. Ensure existing methods for continual research collection, analysis, and reporting related to guest profiling, GSAT, and brand tracking are executed to highest quality standards, making adjustments or overhauls as necessary; monitor data collection for data quality; optimize efficiency and automation for routine tasks in SPSS, Excel, and other programs; employ various statistical analysis techniques to examine consumer attitudes, perceptions and behaviors with a focus on understanding the “why's” behind the findings. Support ad hoc research studies that provide actionable insights to key stakeholders for custom research objectives. Work with leadership to design methodologies and develop research tools (surveys, experimental designs, etc.) that best suit the needs of the research. Consult other consumer transactional data or other third party data sources (as needed) to help build out the analysis. Develop a storyline derived from consumer-based insights. Support qualitative analyses to answer ad hoc research questions using existing bodies of work. Utilize verbatim coding techniques and / or qualitative analytics tools (including AI) to extract themes and expedite delivery of insights sourced from written and verbal (video) formats; provide concise, easily consumable summaries of findings. Participate on a team that values the “we is greater than me theme” by focusing on collaboration, information sharing and a desire to raise the level of competency among the entire team. Participate in team sharing sessions focused on research findings, but also share interesting and unique research methodologies/survey designs used. Support the department while employing a mindset of process improvement with an eye toward the future and changing trends. Monitor secondary sources for consumer trends, industry trends, brand/product/category developments, and competitor marketing and research activities and integrate findings into research activities. Support the ongoing TSAT initiatives to continuously build a positive team member working environment. Understand and actively participate in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training, and team member involvement activities. Performs other duties as assigned EDUCATION: Bachelor's degree in Marketing, Marketing Research, Psychology, Anthropology, Sociology, Advertising, Statistics, or related discipline is required. Master's degree in Business Administration (MBA), Marketing Research (MMR), or other social science, is preferred. EXPERIENCE: 2+ years of experience required in market research in a business to consumer environment; or equivalent combination of education and experience. Your talent, skills and experience will be rewarded with a competitive compensation package. Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. Universal Orlando Resort. Here you can. Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & © 2024 Universal Studios. All rights reserved. EOE

Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program The Project Management Center provides deployed support for project management processes related to scope, cost, schedule, and risk management during all phases of Laboratory projects, as well as project management training. Position Overview: Project Management Center (PMC) is responsible for providing Project Management expertise to the Principal Investigator or Project Director/Manager including expertise in initial planning, cost estimating, scheduling, risk assessment, EVMS reporting, change control and project management training and documentation. The Senior Project Management Systems Analyst will play a central role within PMC and report to the PMC Manager. The selected candidate will draw upon a sophisticated understanding of project management methodology and project control practices and will provide subject matter expertise in Project Controls/ Project Management tools and systems. The candidate will design, plan, and implement the architecture of complex integrated tools/ systems that support the project controls and project management functions at BNL. The candidate will represent the organization as the single point of contact for facilitating enterprise system function of the entire BNL portfolio of projects and programs to implement cost and schedule project planning and control functions for large scientific construction projects and smaller Research and Development projects. Essential Duties and Responsibilities: * Responsible for BNL Project Management systems architecture and applications for the Laboratory's Earned Value Management System. These systems include (but are not limited to): Oracle Primavera P6, Deltek Cobra, Deltek Acumen, Safran Risk, Microsoft SharePoint, Excel and several in-house applications for estimation, reporting, resource analysis etc. * Coordinate with PMC management, DOE, external vendors and BNL IT point of contacts, to maintain and upgrade the BNL Project Management System and all components associated with the system to align with project/program/portfolio requirements. * Information systems related tasks include web and VBA tools development, enhancements, and system administration, in addition to creating scalable, reliable, and efficient solutions to meet the PMC's technological needs to enhance BNL project management processes. * Shares responsibility for ensuring the systems implemented support the BSA's certified Earned Value Management System (EVMS) and associated EVM Procedures to maintain BNL's project management certification. * Develops and implements policies and procedures related to the PMC systems to ensure support and meet the needs of programmatic end users. Defines systems requirements based on user requirements, cost implications, and required integration with existing applications, systems, or platforms. * Defines technical standards and functionality tests of all commercial and in-house tools. * Develops specifications, prototypes, or initial system specific user guides. Identifies and implements creative and innovative process improvements through process and system analysis and evaluation. * Assist in providing technical support to PMC staff working on specific projects and coordinating the work of other related specialists. * Coordinate with the PMC management and support the strategic vision for the PMC through development of systems-based capabilities and resources. This includes leading the development and maintenance of applications in accordance with current DOE and applicable industry directives and regulations. Provides enhancement and remains current with DOE and industry best practices by participating in DOE and industry recognized working groups and supporting DOE project reviews. Required Knowledge, Skills, and Abilities: * Bachelor's Degree in Business Management, Engineering, Project Management or other related field or equivalent experience, generally on the basis of 2:1 (experience: college) years * Minimum of ten (10) years of professional cost/scheduling experience with experience in supporting or leading the Project controls tools and systems development, enhancement, and maintenance efforts. * Solid understanding of Excel and VBA project controls tools and systems development. * Solid knowledge of cost estimating, budgeting and control and integrated project management. * Solid understanding of Earned Value Management System processes and requirements. * Must be proficient in Primavera P6 software. * High proficiency in scheduling theory, techniques, and methodologies * Proficiency in project management principles. * Proficiency in Microsoft Office Suite and Microsoft Project experience. * Solid analytical and reasoning skills and proven ability to develop solutions to complex problems. * Comprehensive knowledge of computers, software, hardware, and networking that utilize project management applications to improve business and project success. * Proficiency in various programming languages, databases, and development tools. * Understanding of project controls best practices in relation to DOE Order 413.3b implementation. * Well-developed interpersonal skills with ability to work collaboratively in a team-oriented environment. * Ability to prioritize and effectively handle one's own time to deliver results. * Well-developed verbal communication skills with presentation experience. * Must be a self-starter, a team player, willing to take initiative and able to perform independently with a continuous improvement mindset. Preferred Knowledge, Skills, and Abilities: * Master's degree. * Professional Certifications such as PMP, RMP, SP, EVP etc. * Experience leading project controls web-based tools development. * Experience with PowerBI. * Experience with Deltek Cobra or similar EVMS software. * Experience in a DOE PMO environment. Additional Information: * This position is eligible for consideration of a remote work arrangement. * This position is not eligible for visa sponsorship. Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $141450 - $226300 / year. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group. Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory - view more information at ******************** This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews. About Us Brookhaven National Laboratory (************ delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory. Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity employer that values inclusion and diversity at our Lab. We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class. BSA takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. *VEVRAA Federal Contractor BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: ********************************************************************************************

Position - Business Analyst - Investment Operations (Wires Management) Location - NYC, NY (onsite 3 days per week) Duration - Long -Term Contract Job Description: Position Summary: Our client is searching for a business -focused technologist and functional subject matter expert to assist with advancing the technology capabilities of the Middle Office and Controllers businesses. The individual will work closely with key stakeholders in the Investment Operations functions to lead projects, gather and document business requirements, and coordinate the development, testing, implementation, and ongoing support of these requirements. Responsibilities: Work with middle office Ops professionals to understand and produce business and functional requirements and collaborate with the development teams to implement solutions. Work with clients' internal resources and application vendors to establish the appropriate development approach and timeline. Track and maintain project plans, risk matrices, issues lists, and all related project artifacts to ensure successful implementation of related engagements. Develop comprehensive test cases and participate in development and QA Testing. Communicate effectively with stakeholders and build relationships continuously. Assist with the analysis of middle office platform processes and capabilities and the ongoing development of a technology strategy. Partner with the business to ensure SLAs and other key metrics are met or exceeded. Identify best practices for optimizing system use both internally and externally. Act as an escalation point for support issues and increase in -house functional support resolution with well -documented RCA and permanent resolutions. Requirements Experience Required: 12+ years of industry full -cycle experience in SDLC methodologies and approaches, including refining business requirements and defining functional specifications, development, and testing. 8+ years of experience with C#, Python, SQL and Excel Macros. Experience with a leading wire management platform is required. IVP Cash Master is strongly preferred. Experience with systems that manage SSI for wire transfers, generate Swift messages, automate cash settlements, and straight -through processing. Experience in payment processing and SWIFT message formats such as MT1XX, MT2XX, and MT9XX. Experience with Business Analysis methodologies and use case modeling with excellent conceptualization, analytical, and logic skills. Deep understanding of the middle office functions and knowledge of credit instruments (Bank Loans, Bonds, Derivatives, etc.) Excellent communication skills, with the ability to work with business users, technical teams, and stakeholders. While adept at listening and soliciting feedback from all teams. Must be self -directed and motivated while being a solid team player with a strong work ethic. Ability to thrive in a high -intensity, fast -paced environment and prioritize/deliver multiple active projects. Educational Requirements: An advanced degree from a top university is strongly desired

Requisition ID: 64169 Title: Strategic Development Analyst Division: Arthrex, Inc. (US01) Location: INC- Naples, FL (US08) Arthrex is a global medical device company and leader in orthopedics medical education. With a corporate mission of Helping Surgeons Treat Their Patients Better, Arthrex has pioneered the field of arthroscopy and develops more than 1,000 innovative products and procedures each year that support all aspects of orthopedics. Arthrex is actively searching for a Strategic Development Analyst to join the Strategic Development team. The successful candidate will work alongside a department of expert orthopedic healthcare professionals, world class faculty, and product management. Main Objective: The Strategic Development Analyst supports the Leadership Team, Strategic Development Team, and Product Management organizations through the analysis and communication of market and competitive intelligence. A successful candidate will develop actionable insights that drive strategic and tactical decisions, value propositions, and targeted commercialization strategies. This role will work alongside data engineers, data scientists, and product managers to further develop our best-in-class analytics engine. Essential Duties and Responsibilities: * Create, validate, and deliver insights through analytics platforms such as Power BI, Tableau, and/or Salesforce CRM Analytics. * Support the development of infrastructure and implementation of tools that scale analytics by increasing efficiency and improving data quality. * Create comprehensive dashboards using advanced pricing techniques such as price/supply elasticity, willingness to pay, and predictive pricing models to understand business problems/scenarios and recommend actionable solutions. * Develop market intelligence reports to inform pricing strategies for current, aging, and new products. * Champion and further develop best practices for measuring & optimizing strategic development activities through data-driven decision making. * Grow the usage of market intelligence resources in ways that improve decision making across the organization. * Build quantitative models of addressable markets by segment * Participate in the design of lasting solutions that transform business intelligence data sources into performance metrics and segment specific models. * Serve on cross-functional teams to provide market insights, set KPIs, and monitor results with a consistent goal of improving program outcomes. * Anticipate and plan analytics capabilities that will meet future organizational needs. * Continuously learn and evaluate new analytics technologies to stay current on trends and tools. * Build relationships across key stakeholder groups internally and externally within the medical device industry, market research partners, and analytics vendors. * Occasional travel for training, meetings, or trade shows may be required. Education and Experience: * 2+ year(s) of experience in an analytics role is required. * Bachelor's degree in Information/Data Science, Economics, Statistics, Business or a related field required. Knowledge and Skill Requirements/Specialized Courses and/or Training: * Experience with large data sets is required, competitive intelligence data experience is a plus. * Experience in Medical Device or Pharmaceutical Industry is preferred. * Experience with Microsoft Azure or similar cloud-based data management is preferred. * Advanced knowledge of analytics best practices and data visualization tools such as Power BI, Tableau, Cognos, or similar required. * Experience with SQL, R, Python, or similar preferred. * Experience with sourcing data through APIs via XML or JSON is preferred. * Experience with Salesforce.com is preferred. * Excellent analytical skills with demonstrated ability to solve problems. * Ability to work cross-functionally across a variety of disciplines. * Ability to communicate with peers, cross-functional partners, and internal stakeholders. * Ability to work effectively in a team environment with strong attention to detail. * Ability to work on multiple projects at the same time. * Excellent written and verbal communication skills. Machine, Tools, and/or Equipment Skills: Experience working with a variety of software tools including Microsoft Office Suite and industry leading Analytics and Business Intelligence software. Arthrex Benefits * Medical, Dental and Vision Insurance * Company-Provided Life Insurance * Voluntary Life Insurance * Flexible Spending Account (FSA) * Supplemental Insurance Plans (Accident, Cancer, Hospital, Critical Illness) * Matching 401(k) Retirement Plan * Annual Bonus * Wellness Incentive Program * Free Onsite Medical Clinics * Free Onsite Lunch * Tuition Reimbursement Program * Trip of a Lifetime * Paid Parental Leave * Paid Time Off * Volunteer PTO * Employee Assistance Provider (EAP) All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other status protected by law. Making People Better at Arthrex Lorem ipsum dolor sit amet consectetur. Cras fringilla elementum odio velit. Job Details Date: Jan 8, 2026 Requisition ID: 64169 Salary Range: Job title: Strategic Development Analyst Arthrex Location: Naples, FL, US, 34108 Nearest Major Market: Naples Job Segment: Medical Device, Developer, Business Intelligence, Product Manager, Orthopedic, Healthcare, Technology, Operations

Requisition ID: 64169 Title: Strategic Development Analyst Division: Arthrex, Inc. (US01) Location: INC- Naples, FL (US08) Arthrex is a global medical device company and leader in orthopedics medical education. With a corporate mission of Helping Surgeons Treat Their Patients Better™, Arthrex has pioneered the field of arthroscopy and develops more than 1,000 innovative products and procedures each year that support all aspects of orthopedics. Arthrex is actively searching for a Strategic Development Analyst to join the Strategic Development team. The successful candidate will work alongside a department of expert orthopedic healthcare professionals, world class faculty, and product management. Main Objective: The Strategic Development Analyst supports the Leadership Team, Strategic Development Team, and Product Management organizations through the analysis and communication of market and competitive intelligence. A successful candidate will develop actionable insights that drive strategic and tactical decisions, value propositions, and targeted commercialization strategies. This role will work alongside data engineers, data scientists, and product managers to further develop our best-in-class analytics engine. Essential Duties and Responsibilities: Create, validate, and deliver insights through analytics platforms such as Power BI, Tableau, and/or Salesforce CRM Analytics. Support the development of infrastructure and implementation of tools that scale analytics by increasing efficiency and improving data quality. Create comprehensive dashboards using advanced pricing techniques such as price/supply elasticity, willingness to pay, and predictive pricing models to understand business problems/scenarios and recommend actionable solutions. Develop market intelligence reports to inform pricing strategies for current, aging, and new products. Champion and further develop best practices for measuring & optimizing strategic development activities through data-driven decision making. Grow the usage of market intelligence resources in ways that improve decision making across the organization. Build quantitative models of addressable markets by segment Participate in the design of lasting solutions that transform business intelligence data sources into performance metrics and segment specific models. Serve on cross-functional teams to provide market insights, set KPIs, and monitor results with a consistent goal of improving program outcomes. Anticipate and plan analytics capabilities that will meet future organizational needs. Continuously learn and evaluate new analytics technologies to stay current on trends and tools. Build relationships across key stakeholder groups internally and externally within the medical device industry, market research partners, and analytics vendors. Occasional travel for training, meetings, or trade shows may be required. Education and Experience: 2+ year(s) of experience in an analytics role is required. Bachelor's degree in Information/Data Science, Economics, Statistics, Business or a related field required. Knowledge and Skill Requirements/Specialized Courses and/or Training: Experience with large data sets is required, competitive intelligence data experience is a plus. Experience in Medical Device or Pharmaceutical Industry is preferred. Experience with Microsoft Azure or similar cloud-based data management is preferred. Advanced knowledge of analytics best practices and data visualization tools such as Power BI, Tableau, Cognos, or similar required. Experience with SQL, R, Python, or similar preferred. Experience with sourcing data through APIs via XML or JSON is preferred. Experience with Salesforce.com is preferred. Excellent analytical skills with demonstrated ability to solve problems. Ability to work cross-functionally across a variety of disciplines. Ability to communicate with peers, cross-functional partners, and internal stakeholders. Ability to work effectively in a team environment with strong attention to detail. Ability to work on multiple projects at the same time. Excellent written and verbal communication skills. Machine, Tools, and/or Equipment Skills: Experience working with a variety of software tools including Microsoft Office Suite and industry leading Analytics and Business Intelligence software. Arthrex Benefits Medical, Dental and Vision Insurance Company-Provided Life Insurance Voluntary Life Insurance Flexible Spending Account (FSA) Supplemental Insurance Plans (Accident, Cancer, Hospital, Critical Illness) Matching 401(k) Retirement Plan Annual Bonus Wellness Incentive Program Free Onsite Medical Clinics Free Onsite Lunch Tuition Reimbursement Program Trip of a Lifetime Paid Parental Leave Paid Time Off Volunteer PTO Employee Assistance Provider (EAP) All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other status protected by law.

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health. For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join our team as a Data Analyst - Health Informatics. We have an exciting opportunity to join the MCIT Department of Health Informatics at NYU Langone as a Data Analyst in biostatistics. This position will support various departmental quality and safety, innovation, clinical, educational, and research objectives and data requirements. The Data Analyst will work closely with faculty and staff to manage, analyze, and visualize clinical, administrative, and operational data, and facilitate planning, designing, and implementing statistical analyses. The successful candidate will demonstrate an advanced knowledge of data analysis and biostatistics; a high degree of professional maturity; commitment to excellence; independence, flexibility, and initiative; and will possess the ability to work collaboratively with diverse individuals, teams, and populations both internally and externally. Job Responsibilities: * Under the guidance of research faculty, design and implement high-impact statistical analyses to support cutting-edge research initiatives and innovation * Engineer and deploy data extraction and analysis pipelines leveraging tools like Epic Signal, Cosmos, SlicerDicer, Microsoft SQL Server, Oracle SQL Developer, and Databricks to enable biostatistical modeling and advanced analytics * Architect and execute innovative reporting systems, including the creation of dynamic and scalable reporting structures to meet diverse user needs * Establish robust, comprehensive data dictionaries to standardize and align datasets across systems and applications * Create advanced data visualizations and interactive dashboards using Tableau or equivalent tools to deliver actionable insights * Perform reviews to maintain accuracy and completeness of data * Manages the submission and tracking of data and data requests, and communicate status to project leaders * Partner with clinicians and domain experts to identify and define analytical requirements, ensuring the development of data-driven solutions for both operational and research purposes * Actively engage Epic UserWeb community to gain insights in novel data collection issues and/or opportunities related to Epic Signal and related databases * Support the development of publications and conference presentations, including drafting academic and nonacademic publications, writing conference abstracts, conducting literature reviews, and creating tables and other data visualizations * Design and build frameworks for AI model development, training, and assessment, including large language models (LLMs) and generative models * Provide technical assistance to analysts and researchers in accessing and analyzing datasets * Maintain clear documentation of research and programming code per best practices * Participate in regular meetings that pertain to data management, project coordination, and ongoing research projects * Develop and implement machine learning and predictive analytics models to optimize medical decision-making and enhance patient care Minimum Qualifications: To qualify you must have a Masters degree in biostatistics, computer science, information management, statistics, or data science Minimum 2 years of data extraction and analysis experience, preferably in biostatistics, or a healthcare or research setting Knowledge of principles and methods of biostatistics; principles, theories, and procedures, including study design, statistical analysis, and causal inference Proficiency in biostatistical data analysis Fluency in SQL to query databases Proficiency with databricks platform Experience with Tableau software Strong quantitative and advanced programming skills with statistical software such as R, Stata, SAS, and/or SPSS Familiarity with Epic datasets + tools a strong plus; strong preference for prior experience extracting and managing data from Epic Signal and ancillary systems Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $64,350.00 - $93,483.52 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Essential duties include but are not limited to: Client Advisory & Content Excellence Junior support across 7-10 client accounts Developing IR and PR knowledge and ability to contribute to IR and PR content and strategy; developing ownership of tactical and strategic workstreams Responsibilities including but not limited to: Provide proactive, daily logistical and strategic IR and PR support to client accounts, executing at the direction of the client and account lead, on deadline Develop strong initial drafts of collateral materials (press releases, corporate PowerPoint presentations, earnings scripts, messaging documents, media pitches, talking points, strategic plans) Conduct research projects and targeting analyses, synthesize data and research into key takeaways Conduct roadshows, meetings and other investor events, including outreach campaigns Event planning and on-site support, including occasional travel Monitor client updates, industry trends, regulatory developments, competitive dynamics and relevant investors, media and reporters to share with IREC team and clients Conduct always-on and ad hoc media monitoring and develop related reporting documents Support joint IR/PR accounts 90% utilization target for client billing Team Building & Mentorship Manage up and across account teams, with professional conduct and communication aligned with our collaborative and purpose-driven culture; uphold principles of client service, purpose, accountability, mutual respect, and collaboration Champion diversity, equity, and inclusion Lead by example, balancing competitive drive with a spirit of collaboration and integrity Business Development & Market Positioning Support development of new business materials Cultivate relationships with investors, analysts, bankers and journalists to enhance visibility and credibility Can speak knowledgeably on clients and biotech/healthcare IR and PR; can represent the agency at industry events, conferences, and investor forums Strategic Leadership Contribute to operational, growth and strategy initiatives for Precision AQ Proactively generate ideas and identify opportunities for the firm and for clients Qualifications: Minimum Required: 1-2 years of prior applicable experience (work or internship) in a service industry requiring direct customer contact; experience in healthcare and/or finance preferred High standards of quality control and client service, meticulous attention to detail Ability to successfully manage multiple projects from conception to completion in a fast-paced team environment Bachelor's degree required Other Required: Strong written and spoken communication skills with a particular eye for language and nuance; ability to follow and shape evolving company stories Critical thinker who takes initiative, can conceptualize and synthesize sophisticated research analyses and generate ideas Proactive problem solver with an analytical skillset and ability to conduct research and analysis and apply learned strategies and tools Skilled project manager, able to organize and manage complex logistics and datasets, including the planning and execution of roadshows, meetings and other investor events Able to work independently and collaboratively in a team-based, hybrid environment Proficient with Microsoft suite including PowerPoint and Excel Competent in technology-driven environments, including AI and various tools and platforms Committed to the success and growth of IREC and the entire team Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.Reasonable estimate of the current range$70,000-$93,000 USD Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at **************************************. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.