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Job DescriptionPrincipal Applied Scientist Full-time New York City, NY, US Exclusive confidential search — details shared with qualified applicants. Benefits You'll Love • Top-tier medical, dental, and vision coverage, • 401(k)Become a Key Player as a Principal Applied Scientist You will own the deterministic enforcement layer that guarantees compliance before AI messages are sent, driving accuracy, cost, and latency tradeoffs. You will work as the senior individual contributor on this layer, collaborating directly with the founder and backend engineers to define technical direction. Hybrid (3 days onsite) in the New York City area. Here's How You'll Make an Impact on the Team • Own the deterministic detection and enforcement layer end to end: rule system, retrieval, matching logic, and production runtime, • Build the evaluation harness and labeled-data flywheel to demonstrate and improve accuracy, • Measure and optimize precision, recall, cost, and latency, and balance tradeoffs between them, • Define architecture direction for the deterministic layer alongside model and retrieval components, • Translate plain-language policy and regulation into deterministic rules and own the reasoning behind each decision, • Adapt rules to customer-specific policies, including per-tenant configuration, • Run tight error analysis on missed violations and false alarms to improve trust and performanceHere's What You'll Need to Be Successful in This Role, • 8+ years in applied ML, NLP, or high-accuracy detection systems with shipped production work, • Hands-on experience in information retrieval, entity recognition, pattern and rule design, and rigorous evaluation, • Proven judgment as a senior individual contributor who sets technical direction, • Strong instincts for when deterministic rules outperform models and how to push precision and recall, • Bias for shipping and for measuring outcomes of what you shipHere's What Else Might Help You Out, • Experience in compliance, regtech, or other regulated domains, • Building high-precision/high-recall detection or classification systems (fraud, security, content moderation, etc.), • Experience adapting a rule system to many customers (per-tenant policy/configuration), • Experience combining deterministic and model-based components in production, • Public research, open source contributions, or technical writingPay Range $200-$250K/year Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams. Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations. Role & Responsibilities • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data., • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs., • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations., • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses., • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop., • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight., • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.Requirements, • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate., • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health., • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS)., • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background., • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data., • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs., • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).Nice to Have, • Experience working directly with customers and in a sales capacity., • Industry background strongly preferred over consulting (industry candidates preferred over consultants).

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner — determining how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access. You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches, • Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner, • Review applied science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: • 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred, • A bias toward action, quickly translating ideas into working prototypes to test approaches, • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them, • Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong communication skills, including at the executive level, with a track record of driving alignment across an organization, • A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use, • Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.Why this role This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes. Compensation Transparency: The target base comp range for this position is $260,000 – $382,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity:Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology & Biophysics Researchers (Part-time) Type: Contract Compensation: $125–$225/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities • Author and review challenging biology and biophysics problems to train and evaluate frontier AI models., • Evaluate model outputs on tasks such as mechanism prediction, experimental design, and literature interpretation., • Identify areas where current models fail, especially mistakes a working PhD would catch., • Collaborate with a small program team and other senior contributors. Qualifications Must-Have • First-author or co-first-author publications in journals like Nature, Science, Cell, PNAS, eLife, NEJM, Nature Methods, Nature Medicine, Nature Biotechnology, Nature Communications, or top specialty journals., • Doctoral or postdoctoral training at a top-20 global institution for life sciences or STEM., • Competitive fellowships such as HHMI, NIH F31/F32/K99, NSF GRFP/PRFB, Damon Runyon, Helen Hay Whitney, Jane Coffin Childs, Searle, Pew, Sloan, Packard, Simons, Fulbright, or equivalent., • Issued patents, spin-out companies, or grants where the contributor was a named PI or co-PI., • Currently or recently in an active research role: PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher. Compensation & Legal • W-2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus., • No fixed end date; contributors continue as long as the program needs their expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: Procurement and development of multimodal dataacquisition protocols. Development, application, and refinement of analytic approaches for multimodal data. Prepare manuscripts for publication in peer-reviewed scientific journals. Prepare grant applications directly as principal and co-investigator. Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows). Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure. Formation and maintenance of collaborative relationships with scientific peers. Perform additional job-related responsibilities as assigned You Have: PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable). 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting. 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required. 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments. 2+ years of supervising experience by mentoring predoctoral trainees Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions. Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers. Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development. An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. #LI-hybrid. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a driven scientist in fusion plasma diagnostics to join our core team. This position involves supporting the design, development, and operation of critical plasma diagnostics and control systems for our Eos planar coil stellarator. The successful candidate will have a strong foundation in experimental fusion plasma physics. You will play a vital role in a fast-paced, multidisciplinary setting, directly contributing to the rapid integration of diagnostic capabilities to accelerate the Eos commissioning and subsequent experimental campaigns. These campaigns will encompass both scenario development and nuclear (DD beam-target fusion) operational phases. All experience levels will be carefully considered.Key Responsibilities: • Support the conception, deployment, and iterative refinement of critical plasma diagnostics for Eos., • Support the definition of the requisite measurement suite for all Eos operational phases, ensuring close alignment with the plasma control and physics teams., • Assist in the development of initial instrument concepts, spatial layouts, and detailed requirements, including necessary space and facility allocation, for proposed Eos plasma instrumentation., • Participate in the design and execution of comprehensive experimental campaigns, covering diagnostic calibration, rigorous validation, and in-depth data analysis., • Collaborate extensively with cross-functional engineering teams to ensure seamless integration of diagnostics into the Eos system., • Rigorously document all technical outcomes and decisions to inform and guide future design iterations., • Assist in the management and coordination of external research and development collaborations pertinent to Eos plasma diagnostics.Experience & Skillsets: Essential: • M.S. or PhD in Plasma Physics, Applied Physics, or a closely related scientific discipline., • Relevant practical, hands-on experience developing and running experimental fusion plasma diagnostics., • Demonstrated track record of contributing to the successful management of diagnostics from initial concept through full commissioning and routine operation., • Familiarity with or experience in key fusion plasma diagnostic methods, such as Thomson scattering, X-ray spectroscopy, ECE, microwave interferometry, fast-ion diagnostics or magnetic field measurement techniques., • Proven experimental proficiency, including instrument calibration, advanced signal processing, and robust data analysis., • Outstanding skills in both written and verbal technical communication. Highly Desired: • PhD specifically in experimental plasma physics., • Sufficient engineering knowledge to facilitate effective, high-bandwidth interaction with multidisciplinary engineering teams., • A strong personal commitment to developing commercially viable fusion energy products.Company Benefits:, • Salary range $110,000 - $160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionMatrix New World Engineering, a part of True Environmental and its partner firms, have united their strengths to establish the nation's premier environmental and engineering services consulting firm. This powerhouse organization offers an extensive range of services aimed at revolutionizing the built environment and preserving the natural one. Its diverse expertise encompasses environmental remediation, urban planning, engineering iconic coastal and marine structures, developing sustainable energy sources, and pioneering resource extraction methods. Explore further at www.MWNE.com and True-Environmental.com to discover the full scope of our capabilities. We are currently seeking an Environmental Engineer, Scientist, or Geologist I for our growing environmental consulting practice in our NYC office. The successful candidate will lead project and field work, including Phase I and II Environmental Site Assessments/Investigations and preparation of Remedial Action Workplans in the NYC metropolitan area. The ideal candidate for this position is an enthusiastic, self-motivated individual who has at least 2 years of experience and is ready to take on project leadership and staff training. Strong interpersonal and writing skills are critical. Salary range starts at $80,000 What you'll do • Complete site investigations to determine the nature and extent of contaminated soil, soil vapor, sediment, groundwater, and other media on a variety of sites, including public (parks, schools/universities, transit-related), residential, industrial. commercial, and private., • Complete Phase I Environmental Site Assessments, • Participate in all aspects of site investigation and remediation, from preparation of workplans, conducting field work, writing summary reports, and final remedial documents, • Assist with the preparation of technical reports, specifications, and plans; data management and evaluation; and environmental assessment and remediation;, • The candidate will assist with training entry level staff, • Field work will include oversight of subcontractors, including drillers and other laborers during soil boring advancement, monitoring well installation, test pit installation, excavation activities, and remedial construction activities; and sampling various media including soil, groundwater, sediment, soil vapor, and air, • Perform Phase 1 Environmental Site Assessments in accordance with ASTM E1527, supervise junior staff, and perform peer reviews of same., • Prepare summary reports including reviewing laboratory analytical data; interpreting and tabulating data and preparing tables; soil boring logs; figures; and text, • Provide environmental construction field management, such as community air monitoring, soil management, remedial construction oversight, and more Required Experience, • BS in Environmental Engineering, or related engineering degree, or Environmental Science, Geology or related science degree, • 3+ years of environmental consulting experience, • Experience performing Phase I Environmental Site Assessments and Phase II Environmental Site Investigations, including soil, sediment, soil vapor, air, and groundwater sampling, • Proficiency in logging borings and describing soil lithology based on the Burmister soil classification system, • Working knowledge of NYSDEC Rules, Regulations and Guidance documents including DER-10, Part 360, and Part 375 Regulations, • Knowledge of the principles and standards of scientific study, field investigation and sampling, and research and documentation, • OSHA 40-Hour Training and 8-hour refreshers, • Must possess a valid driver’s license, with a clean driving record, and be willing to travel and conduct field work in all boroughs of NYC, Westchester, and Long Island, • Experience working effectively with team members as well as independently, • Strong quantitative/math and analytical skills, • Core competency in Microsoft Office Products, including Word, Excel, PowerPoint, Teams, and Outlook, • Excellent written and verbal communication skills with a strong attention to detail, • Must be able to wear a respirator, • Must pass a pre-employment drug test and will be subject to DOT regulated random drug testing Peferred Qualifications, • OSHA 30-Hour construction training preferred All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The RoleRo is building a team focused on shipping LLM-powered products across the patient experience, clinical operations, and internal tooling. We're hiring a Senior Applied AI Scientist to own the evaluation, measurement, and optimization of our AI systems. This role sits at the intersection of data science, applied machine learning, and product engineering. You'll design the frameworks that tell us whether our AI systems are actually working and use those insights to continuously improve them. This is not a research role. You'll work closely with engineers and product teams to evaluate production systems, run experiments, identify failure modes, and ensure our AI products become more accurate, reliable, and cost-effective over time.What You'll Do • Design and own evaluation frameworks for production LLM features, including LLM-as-a-judge evaluations, regression suites, synthetic datasets, golden datasets, and human review workflows., • Analyze production behavior to identify quality issues, hallucinations, latency bottlenecks, cost regressions, and emerging failure modes., • Design and run experiments including prompt variations, workflow changes, retrieval improvements, and model comparisons; and quantify their impact on quality, operational metrics, and user outcomes., • Define the metrics that matter and build dashboards that make AI performance visible across the organization., • Partner with engineering to determine which optimizations should be productionized and how to measure ongoing success., • Mentor teammates on experimental design, statistical rigor, evaluation methodology, and measurement best practices.Who You Are, • 5+ years of experience in data science, applied machine learning, experimentation, or a closely related field, with at least the last year focused on applied LLMs or AI evaluation., • Strong Python and SQL skills with experience working on production data pipelines and experimentation., • You have experience designing reproducible evaluation frameworks rather than relying on manual spot checks or qualitative assessments., • You have strong statistical intuition: you think in terms of distributions, confidence intervals, variance, and sample sizes rather than anecdotes., • You’re comfortable working closely with engineers and product teams to translate experimental findings into production improvements, • Bonus: Experience with evaluation platforms (e.g. Braintrust, LangSmith, OpenAI Evals), experimentation platforms, causal inference, healthcare, or operations-heavy environments. A note on reporting structure This is a new function at Ro, and we're being deliberate about not over-defining it. Your manager and where you sit on the org chart will depend on the specific shape of the team we end up with. We'd rather find the right people and figure out the lines around them than pre-draw boxes and miss great candidates. If that ambiguity is a deal-breaker, this isn't the right role; if it sounds like an opportunity, we want to talk. • The target base salary for this position ranges from $182,300 to $220,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges. Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support. These engagements require the implementation of complex analyses to support our clients, notably in: • Forward-Deployed Engineering, • Generative AI, Machine Learning & Statistics, • Data Analysis for strategic support, • Data Engineering & DevOps, • Data Transformation & Acculturation A few examples of engagements: Predictive compliance risk monitoring: Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance workstreams, enabling proactive risk identification and mitigation. AI-powered regulatory intelligence: Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams. Analytics/ML models for AML compliance: Built and refined ML models to automate due diligence and ID verification workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment. As part of the firm's internal activities, your contribution will focus on the following areas: • Developing or strengthening our offerings through training, working groups, and internal/external materials., • Our publication strategy (sector blogs, studies, press coverage). \, • Business development, by contributing to the definition of client needs and participating in sales activities. Key Responsibilities: • Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs., • Identify, acquire, process, and explore relevant data sources., • Analyze large amounts of structured and unstructured information to discover trends and patterns., • Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms., • Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral., • Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses)., • Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control., • Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more., • Propose solutions and strategies to business challenges., • Collaborate with engineering and product development teams., • Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes. Qualifications, • Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field., • 2+ years of experience as a Data Scientist or Data Analyst., • Strong programming skills, particularly Python and SQL., • Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.)., • Experience with cloud platforms (AWS, Azure, or GCP)., • Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.)., • Excellent communication skills, with the ability to explain complex technical concepts simply. Preferred technical experience: • Experience building agentic AI systems., • Good understanding of machine learning techniques., • Good understanding of statistical techniques and concepts., • Experience with data visualization tools., • Experience developing conversational AI systems / chatbots., • Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP)., • Experience deploying models at scale in production environments. Preferred industry sector experiences • Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the client's RCM obligations library, • Control Design & Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence, • Risk Assessment & Testing: Lead RCSAs, thematic reviews, and control testing to identify compliance and operational gaps, • Regulatory Analysis & Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy, • Compliance Best Practices: Develop and maintain compliance best practices, • Regulatory Interpretation & Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls, • Risk & Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk, compliance) functions Additional Information Compensation & Benefits Sia invests in total rewards that support how our people work, live, and grow. Compensation • Base Salary: $95,000-116,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law., • Annual Performance Bonus Benefits • Medical, dental, and vision; company-paid life and AD voluntary supplemental insurance and EAP, • 401(k) with company match and immediate vesting; HSA and FSA options, • College savings and student loan repayment programs, • Paid parental leave; generous PTO, nine company holidays, and one floating holiday, • Cell phone stipend; well-being and professional development programs Benefits are subject to applicable plan terms and eligibility requirements. Workplace Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. Our Commitment At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. SC 2.0 is the engine powering our vision. Appian's Solutions Consulting team is in the midst of an exciting transformation—redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our SCs don't just demo features—they tell stories, co-create with customers, and help shape strategy with technical credibility and business insight. Read More About SC 2.0 Here You can listen to our Global SC leader, Gregg Aldana discuss SC 2.0 here Appian's Game Changing Solutions Consulting Team - Do you enjoy solutioning with an award winning technology? Do you like working alongside the smartest and most creative people in the tech industry? Ready to take your career to the next level and have a tremendous amount of fun in the process? Come and join one of the most exciting, energetic and emerging areas of Appian that is poised to fuel the next stage of growth of this ambitious company and your career: Solutions Consulting. The Global Solutions Consulting organization at Appian is a team like no other out there. We are self-starters that are passionate about our mission and are redefining what it means to work in the Pre-Sales or Sale Engineering profession. Whether you are a seasoned veteran of Solution Consulting for many years or looking to pursue a new career in this area, this is THE TEAM…..THE COMPANY and THE MOVEMENT you want to be a part of. Appian Solution Consulting starts with the "Why" behind the mission critical solutions that are driving success for our customers. Through a combination of creative persona-based storytelling, technical solutioning, and business consulting, Appian's Solution Consultants are the driving force behind helping customers understand the business value that Appian's technology can provide during the sales cycle and beyond. Appian's Solution Consultants are the trusted advisors for customers, partners, sales, product, marketing and the company's leadership. Join this exciting team today to begin fueling your career! In this role, you will be a senior Solutions Consultant supporting pharma, biotech, medtech, and CRO clients. While you do not need to be a scientist, you should understand how Life Sciences organizations operate. To be successful in this role, you need • Deep and recent expertise in the Life Sciences industry that is demonstrated through knowledge of Life Sciences business processes such as Clinical Development, Quality Management, Regulatory Affairs, Pharmacovigilance, Manufacturing, and/or Medical Affairs., • Experience supporting digital transformation initiatives within pharmaceutical, biotechnology, medical device, or contract research organizations., • Understanding of GxP environments, FDA regulations, 21 CFR Part 11, and validated system requirements strongly preferred., • Experience working in an enterprise software sales position OR a client-facing technology advisory role within a Life Sciences institution or ISV (e.g., in transformation, architecture, or strategy)., • Technical depth to respond to all functional and technical elements of RFIs/RFPs, • Ability to strategically problem-solve by thinking outside-the-box to create innovative solutions that address complex Life Sciences' challenges., • Technical expertise to identify how Appian can fit into the wider organization, • Strong verbal and written communication skills; experience with customer interaction, requirements analysis, and presentations, • Ability to have technical discussions with Appian's product team., • Familiarity with production environments (application servers, web servers, databases) Basic Qualifications: • Bachelor's or Master's degree in Information Systems, Engineering, Computer Science, or a related field or equivalent experience, • 5+ years as a successful Pre-Sales Engineer OR 6+ years in a Professional Services/Consulting role, with a significant focus (3+ years) in the Life Sciences Industry, • Up to 70% travel to customer locations throughout the assigned region You may also have: • An advanced degree (MS, MBA, PharmD, MPH, or PhD), • The ability to fluently speak a second language, preferably Portuguese #LI-MB1 The base salary range per provided represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range$125,000—$250,000 USD Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job DescriptionCompany Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description About the Job The Nielsen Analytics practice advises the world’s largest and most influential advertisers, agencies, and media companies on how to make their businesses more successful. We are a team of consultants and thought leaders who bring Nielsen’s industry leading measurement products to life, providing actionable insights to help clients make better business decisions. The Commercial Lead is responsible for aggressively expanding Nielsen’s Analytics US revenue within the Digital vertical. You will own the full sales cycle—from identifying untapped opportunities to negotiating and closing complex technical deals with the world’s most influential tech companies. This individual will draw upon a deep understanding of industry and analytical capabilities to develop, pitch, and deliver a complete solution. We are looking for a rare hybrid: someone with the grit of a sales “hunter” and the brain of a data scientist. You don't just 'pitch' Nielsen; you develop and go to market with technical solutions that solve the industry's most complex measurement challenges. This person will collaborate with a group of cross-functional Nielsen leaders to ensure that Analytics solutions and sales strategies meet revenue, client and marketplace expectations. The ideal candidate will possess a demonstrated track record of delivering commercial success among large and sophisticated media & advertising clients. This person will have a solid understanding of Nielsen Audience Measurement products and the media & advertising ecosystem overall, including cross-channel media planning and measurement. Strong candidates will be highly analytical and show aptitude in consultative sales, client service, internal collaboration, and adapting within a dynamic, fast-paced environment. Job Responsibilities Deliver Commercial Success Own and consistently exceed an individual annual revenue quota for the Digital Publisher vertical Drive full-cycle business development—from prospecting to opportunity advancement to final contract negotiation and closing Have executive-level presence to hold your own with C-level clients both to represent existing Nielsen products and solution creatively and articulately on the fly, translating complex concepts into clear, revenue-driving client solutions Drive all forms of new business, including upsells, net new logos, and win-backs Strategically prospect and close new business by identifying client pain points and mapping them to Nielsen's advanced analytical capabilities Create, grow, and manage a robust sales pipeline within Salesforce software, with accurate revenue forecasting and delivery Lead Analytics Product Sales for Digital vertical Responsible for overall success, including commercial and strategic, for Nielsen’s US Analytics business among Digital clients, including the largest and most sophisticated tech companies in the world Develop and execute go-to-market strategy Collaborate with other Nielsen teams, including Account Management, Client Insights, Marketing, and Product Leadership to identify and execute new business opportunities Serve as Subject Matter Expert for all Nielsen Analytics solutions Qualifications Salesperson Extraordinaire: 5+ years of experience with a documented track record of exceeding sales quotas and closing six-figure-plus deals, ideally within media & advertising, consulting, SaaS, ad tech, measurement & research, or a related domain. Ad sales, media planning/buying, and prior agency or digital ad-seller experience a plus Analytical Mindset: Must be able to think and act creatively, analytically, and productively so as to create wholly new analytical solutions, sometimes in real time in high-stakes client meetings. Your brain will be the engine of Nielsen Analytics new product development and enhancement Bachelor’s Degree required. MBA or other Master's Degree a plus Commercial Fluency: Ability to link analytical methodologies directly to client ROI and business growth. Negotiation Skills: Experience negotiating and closing six-figure+ deals, including navigating client stakeholder, procurement, and legal processes Ecosystem Expertise: Deep understanding of the digital media & advertising landscape, including cross-channel advertising, social media, creators, programmatic, and “in the weeds” ad tech and identity (HEMs, cookie-deprecation, first-party data matches) Sales Mechanics: Proven ability to develop long-term client relationships and manage long-cycle, consultative sales engagements, rather than transactional sales of well-defined products. This person is not “pitching widgets”, they’re building and commercializing complex, next-gen solutions for the most important media companies in the world #LI-LS1 Additional Information This is a high-growth, quota-carrying role with a competitive commission structure designed for over-performers. Works from Nielsen New York (Manhattan) office at least 3 days per week Requires limited client and internal travel (up to 20%) Enabling your best to power a better media future. Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility. Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives. Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Description Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform. The Role As a Pricing Data Scientist, you will be the architect of the logic behind the Alt Value, Alt's core pricing model. You will research, design, and validate the science and models that will price millions of alternative assets in real-time. This role is highly collaborative; you will work alongside Expert Pricers to translate human intuition into mathematical features and partner with Data and ML Engineers to bring those models to life at scale. What you'll do here • Research, develop, and ship sophisticated pricing models (e.g. Tree-based, Gradient-based, Deep Learning, ensemble methods) to improve valuation accuracy for high-value assets., • Identify new data signals — emanating from data such as auction results to social sentiment — and validate their predictive power through rigorous backtesting and experimentation., • Partner with the Product Engineering team to refine our Risk & Underwriting models, balancing the goal of maximizing cash advances with the need to maintain a balanced lending portfolio., • Collaborate with the Expert Pricing team and domain experts to encode market nuances into automated features and inferences, ensuring our models respect the qualitative factors collectors care about., • Define, monitor, and lift model performance metrics and communicate the "why" behind price coverage, movements, and freshness toward becoming the ultimate liquidity platform. This is a perfect fit if you... • Are deeply curious about how value is assigned to unique, non-traditional, and conventionally "illiquid" asset classes., • Are a hands-on individual contributor who thrives in a zero-to-one startup environment., • Are a product-minded builder who wants to see their work deployed in a user-facing production application. What you bring to the table • 5+ years of experience in Data Science, with a focus on feature engineering and algorithm/model-building in the pricing, financial modeling, or marketplace dynamics domains., • Expert-level proficiency in SQL, Python, and populate Python libraries (Pandas, Scikit-Learn, XGBoost/LightGBM, PyTorch/Tensforflow)., • Statistical rigor and deep understanding of experimental design, backtesting methodologies, and dealing with "noisy" or sparse data environments., • Collaborative experience working in a sprint-based environment alongside Data and ML Engineers; you understand enough about model hand-offs and quality code to ensure your models are efficient and readily "production-capable"., • Proficient in developing in cloud environments (AWS, GCP) and familiarity with ML Ops infrastructure (e.g. MLFlow, workflow and container orchestration, deployment and telemetry patterns)., • Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science is preferred. Compensation: $200,000 What You'll Get From Us • A seat at the table to help shape the future of Alt and the alternative asset space, • Autonomy and ownership on projects that matter, • $100/month work-from-home stipend, • $200/month wellness stipend, • WeWork office stipend, • 401(k) retirement benefits, • Flexible vacation policy, • Generous paid parental leave, • Competitive healthcare benefits, including HSA, for you and your dependent(s)

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Marketing, Customer, and Product topics and challenges. Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and marketing departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support. These engagements require the implementation of complex analyses to support our clients, notably in: • Forward-Deployed Engineering, • Generative AI, Machine Learning & Statistics, • Data Analysis for strategic support, • Data Engineering & DevOps, • Data Transformation & Acculturation A few examples of engagements: • Automatic detection and classification of user needs: Identifying key themes and specific needs from free-text exchanges across various sources (surveys, email exchanges, etc.) using generative AI, NLP processing, and clustering. Sales forecasting to optimize new product assortment in stores: Developing a machine learning model to estimate the sales potential of new luxury products in each store across the network, in order to provide product assortment recommendations for stores. Building and scaling audience segmentation for data-driven marketing at scale: Designing and industrializing audience signals and segmentation capabilities within customer data platforms to power data-driven marketing campaigns reaching millions of customers, enabling more precise targeting and measurable campaign performance. Key Responsibilities: • Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs., • Identify, acquire, process, and explore relevant data sources., • Analyze large amounts of structured and unstructured information to discover trends and patterns., • Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms., • Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral., • Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses)., • Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control., • Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more., • Propose solutions and strategies to business challenges., • Collaborate with engineering and product development teams., • Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes. Qualifications, • Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field., • 2+ years of experience as a Data Scientist or Data Analyst., • Strong programming skills, particularly Python and SQL., • Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.)., • Experience with cloud platforms (AWS, Azure, or GCP)., • Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.)., • Excellent communication skills, with the ability to explain complex technical concepts simply. Preferred Technical Experience • Experience building agentic AI systems., • Good understanding of machine learning techniques., • Good understanding of statistical techniques and concepts., • Experience with data visualization tools., • Experience developing conversational AI systems / chatbots., • Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP)., • Experience deploying models at scale in production environments. Additional Information Compensation & Benefits Sia invests in total rewards that support how our people work, live, and grow. Compensation • Base Salary: $95,000-116,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law., • Annual Performance Bonus Benefits • Medical, dental, and vision; company-paid life and AD voluntary supplemental insurance and EAP, • 401(k) with company match and immediate vesting; HSA and FSA options, • College savings and student loan repayment programs, • Paid parental leave; generous PTO, nine company holidays, and one floating holiday, • Cell phone stipend; well-being and professional development programs Benefits are subject to applicable plan terms and eligibility requirements. Workplace Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. Our Commitment At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • Contribute to improving data science practices, tooling, and documentation Requirements: • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members, • Experience deploying or supporting models in production environments This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at www.cresilon.com. The R&D Manager/Principal Scientist - Polymer Formulation will lead the design, development, and implementation of novel formulations and polymer materials for use in medical devices, ensuring all activities meet applicable quality and regulatory standards. This role provides technical leadership and expertise in materials formulation development while building and optimizing internal capabilities to deliver innovative, efficient medical device and combination product solutions, aligned with the company’s long-term technical vision and pipeline of customer-focused innovations. Key responsibilities include developing and characterizing polymer material formulation solutions, recruiting and onboarding talent, managing technical collaborations with external suppliers and vendors, and integrating formulation solutions into scalable manufacturing processes, whether in-house or through CDMOs. The role operates in a highly collaborative, cross-functional environment and requires flexibility, scientific rigor, and a strong drive to explore and implement new technologies in the pursuit of robust, innovative products. This is a senior technical role overseeing a small team within a dynamic, growing organization. . The R&D Manager/Principal Scientist is both a strategic leader and a hands-on contributor. In addition to managing and mentoring staff, this individual is expected to remain actively engaged in laboratory work, directly contributing to experimental design, execution, troubleshooting, and data interpretation. This role requires a player-coach mindset, with the ability to balance people leadership, technical oversight, and individual scientific contribution. The role demands a high degree of ownership and adaptability, with the expectation that the individual will work at multiple levels—from setting technical direction to performing bench-scale formulation development and characterization activities as needed to meet program timelines. The R&D Manager / Principal Scientist will serve as a subject matter expert in polymer materials science, formulation strategies, analytical chemistry, and biomaterial interactions with biological systems. They are responsible for upholding high standards in research practices and ensuring scientific and technical rigor across all development activities. Additionally, they are responsible for leading the development of documentation required for regulatory submissions (e.g., 510(k), IDE, technical files), driving strategy for publications and grant applications, securing non-dilutive funding through grant opportunities, and supporting technology transfer into manufacturing environments. They will report to the Vice President of Technology. This is a full-time, on-site position, located in Brooklyn, New York. Responsibilities • Lead, staff, and manage formulation development teams and their efforts across multiple parallel product development opportunities, to launch new commercially successful products., • Provide sound scientific leadership, monitoring, and coaching through the initiation, planning, and execution of their team’s overall activities., • Create and lead experimentation of exploratory and/or product development research with a focus on polymeric materials and their use., • Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures., • Lead material/design/process changes through the design control process, with well-documented research/analyses., • Review and author protocols and reports, including development studies and design verification/validation activities., • Develop and implement investigations into new technologies and capabilities, partnering with business development, that advance the research team and company objectives., • Lead efforts in chemical and mechanical property evaluation to assess the desirability of process or formulation changes. Develop test method capabilities to support R&D (exploratory research, product development) and production test requirements., • Develop unique, proprietary (and ideally patentable) intellectual property that yields competitive advantage., • Lead and participate in voice-of-customer (VOC) labs and influence go-to-market strategies., • Interface with customers, suppliers, and internal cross-functional team members to develop specifications and coordinate prototype fabrication., • Work as part of a cross-functional team to develop, verify, and validate product designs through bench, in-vitro, and in-vivo testing and other assessments., • Ensure an effective documentation system is in place and utilized throughout the development process inclusive of R&D lab notebooks, design reviews, test methods, and test reports., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions,, • Act as research liaison between R&D and Quality Control to define product specifications., • Maintain active dialogue with Manufacturing to ensure successful technology transfer and process development, including the review of research-related documents, • Provide guidance and support to commercial teams, support the introduction of new technologies with the development of presentations, sales tools, formulations, and applications data., • Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization., • Provide other project, product, or leadership support as needed to support Cresilon’s business objective. Requirements Required Qualifications • Master’s degree in Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely equivalent discipline., • A minimum of 10 years of research experience in developing and utilizing polymeric materials, biomaterials, or other complex materials toward product/application development and their manufacture, with at least 5 years in a non-academic setting., • A minimum of 2 years of direct management experience., • Adept experimentalist with hands-on research experience with polymers, coagulation chemistry, and materials science of complex systems, including the development of structure-property performance relationships in designing and characterizing these materials., • Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements, along with a fundamental understanding of the chemistry that drives the performance required. This includes strong analytical, problem-solving, and decision-making skills with the ability to be observant and to think creatively., • Direct experience in new product development from concept to regulatory approval through launch., • Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies is required., • Excellent verbal and written communication skills, with the ability to lead in a dynamic and collaborative environment, are required., • Highly organized and detail-oriented, with the ability to extract key facts from complex information and create/present clear and concise technical documentation is required., • Demonstrated ability to lead and inspire teams and develop and mentor individuals, and allocate resources strategically and according to the portfolio priorities., • Requires strong leadership and organizational skills with a strong attention to detail and multi-tasking skills while simultaneously keeping an overall “big picture” view of projects, priorities, and strategies., • Experience working under pressure with tight timelines, with the ability to maintain a sense of priorities, focus, urgency, and delivery., • Strong working knowledge of Microsoft Office., • Legal authorization to work in the United States. Preferred Qualifications • Ph.D. in a relevant discipline is strongly preferred., • Experience developing and commercializing products in a highly regulated environment, • Medical device development experience., • Demonstrated expertise in the use, development, and qualificication of material characterization techniques, including rheological, thermal, mechanical, spectroscopic, microscopic, and other chemical compositional methods., • Strong understanding of medical device regulatory requirements for Class II and III medical devices (e.g., 21 CFR Part 820), cGLP/cGMP, and related standards (e.g., ISO 13485)., • Strong understanding of cGMP, ICH guidelines, • Six sigma green belt or black belt certification., • Experience with executing a grant and publication submission strategy, knowledge of and strong track record with SBIR submissions to multiple agencies, including NIH and DOD is strongly preferred., • Demonstrated experience in Project Management and Product Lifecycle Management practices, and the ability to lead multiple projects simultaneously., • Excellent problem-solving skills and a proactive approach to addressing formulation challenges. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits BENEFITS • Competitive annual base salary range of $130,000 - $180,000, depending upon qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job Description Our client is seeking an Research Scientist to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This exempt, full-time, hybrid position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in the NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Responsibilities: • Procurement and development of multimodal data acquisition protocols., • Development, application, and refinement of analytic approaches for multimodal data., • Prepare manuscripts for publication in peer-reviewed scientific journals., • Prepare grant applications directly as principal and co-investigator., • Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows)., • Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure., • Formation and maintenance of collaborative relationships with scientific peers., • Perform additional job-related responsibilities as assigned Qualifications: • PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting., • 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required., • 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments., • 2+ years of supervising experience by mentoring predoctoral trainees, • Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions., • Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers., • Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development., • An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. Special Considerations: The anticipated salary range for this position is $110,000 - $130,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a highly skilled Senior Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice., • Communicate findings and strategy to internal stakeholders through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications. Requirements • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 3+ years combined postdoc and/or industry experience; OR an M.S. with 5+ years of relevant experience., • R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Strong experience in Python, Tensorflow and pytorch., • Prior experience with ITK, OpenCV, VTK., • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred qualifications • 3+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $186,000 - $212,000, • TTC: $214,000 - $245,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionWho we are Findigs is on a mission to make renting work for all of us. Renting is one of life’s most critical experiences, yet the process is often slow, opaque, and unfair. We’re changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters. We’re growing fast – fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber. With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we’re not just improving the rental process; we’re setting the new standard for the entire industry. We’re aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale. If you’re ready to modernize one of the most essential industries, we’d love for you to be a part of it. The Role Findigs runs an AI underwriting engine (DecisionAssist) that makes or influences thousands of rental decisions every week. As Data Scientist at Findigs, you will strengthen our data science and applied machine learning depth: owning hands-on model development, experimentation design, and ML-adjacent analysis that directly impacts renter and property manager outcomes. Reporting to the Lead Analytics Engineer, this is a highly technical, high-ownership role for a data scientist who wants to build and improve production models, bring statistical rigor to product decisions, and grow into broader strategic scope as the team evolves. You will partner closely with Product and Engineering to translate real-world rental risk and behavior into models, experiments, and clear insights. Please note, we are unable to sponsor or take over sponsorship of an employment visa at this time. Where you will make an impact: • DecisionAssist model development: Own feature engineering, model iteration, and evaluation for DecisionAssist. You will work across two surfaces: (1) operational model work in the DA/CAV1 serving layer, and (2) analytics-focused modeling in Snowflake for experimentation and research, as well as partner with Product and Engineering on what signals matter and why., • Experimentation and A/B testing: Design and analyze experiments across underwriting, renter-facing, and PMC-facing product changes, and bring statistical rigor and clear recommendations., • Predictive and risk modeling: Build and maintain models used in screening logic (e.g., delinquency risk, income estimation, fraud signals)., • ML infrastructure: While you won’t own the warehouse or pipeline architecture, you should be comfortable writing clean Python, working in dbt, and operating in a modern data stack., • Research and analysis: Tackle high-impact, ad-hoc questions from Product and Customer teams; e.g., what’s driving approval-rate variance, which cohorts behave differently, and what a given signal actually predicts.We’d love to hear from you if you have:, • 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred), • Strong Python skills (pandas, scikit-learn, statsmodels or equivalent); this is a coding role, • Ability to design, run, and interpret A/B tests independently, • Strong SQL skills and comfort working in a modern data stack (dbt, Snowflake, Sigma, or similar), • Solid grounding in supervised learning fundamentals (classification, regression, tree-based methods), • Strong written communication and the ability to explain model behavior and tradeoffs to non-technical partners (e.g., PMs, CSMs), • Intellectual curiosity about housing and credit data in particularNice-to-haves:, • Experience building or contributing to a credit, risk, or underwriting model in production, • Familiarity with fair lending / disparate impact considerations in ML (important given the real-world consequences of renter screening), • Experience working on systems where model output directly affects real people, with a strong sense of responsibility and rigor, • Ability to move between exploratory research and production-grade work without needing separate tracks, • LLM experience (fine-tuning, retrieval, or integration), especially as we automate parts of underwriting and screening workflows, • Startup / scale-up experienceWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a Unlimited Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all-company holidays., • Wellness Perks: Health benefits, 401(k) matching up to 4%, monthly gym stipend, and lunch provided every day.Compensation disclosure as required by NYC Pay Transparency Law.Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, and the scope of responsibilities in the role. In addition to cash compensation, all full time employees receive an equity compensation package.Interviewing with Us We're committed to making our interview process as effective and candidate-friendly as possible. We use a tool called Brighthire.ai to record our interviews so that our interviewers can focus entirely on the conversation and not get distracted by taking notes. Please note, if you move forward with the interview process, you'll always have the option to opt out of the recording. We are an equal opportunity employer and, as such, all applicants will be considered based solely upon merit and directly relevant professional competencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Neion Bio is harnessing nature’s best molecular factory, the chicken egg, to make medicine affordable, accessible, and resilient. Using cutting edge genetic engineering and stem cell technology, we create “living bioreactors”, which act as fully autonomous 3D biomolecular printers, operating on existing industrial-scale infrastructure. Our platform can rapidly and scalably produce almost any protein, provide national resilience to drug shortages and de-risk complex supply chains, and ultimately take advantage of novel biological environments to solve unmet medical needs. We are on a mission to reimagine the way in which complex biological molecules are produced to transform human health. At Neion Bio you will play a pivotal role in an early-stage, fast-growing company, working alongside leading scientists and entrepreneurs. You will have the opportunity to participate in the enormous potential upside while having a huge impact on the world. We are looking for a talented molecular biologist on the RA, SRA or scientist level experienced with the engineering, production and purification of viral vectors, including lentivirus, adenovirus and AAV. Key Responsibilities: • Perform cloning of large viral genomes, design and run PCR, qPCR, RT-PCR assays to quantify viral transgene and transcription, • Perform transfections on primary cells, immortalized cells, and animal tissues, • Design, manufacture, purify, characterize, validate and test a range of viral vectors, at small and large scale, • Assess efficiency of workflows through cellular assays and NGS sequencing approaches, • Extract DNA, RNA, protein from animal tissue, • Conduct experiments and work on research problems, • Maintain excellent electronic laboratory records, • Work on project milestones, • Attend lab meetings, prepare reports and presentations on the progress of projects Requirements • BA/MS/PhD in biological sciences, bioengineering, molecular biology, genetics, or any science related field, or equivalent experience, • Experience with cloning, transfecting, producing, purifying, characterizing, validating and testing of a range of viral vectors including adenovirus, lentivirus, AAV, • Experience with ultracentrifugation for viral purification, • Experience with resin and column based viral purification methods, • Strong aseptic techniques and GLP procedures, • Experience in genome engineering, cloning, DNA amplification, PCR, NGS, transfections, and other molecular biology skills, • Exceptional organizational skills with the ability to effectively manage time and priorities, • Strong written and oral communication skills, as well as creative problem-solving skills, • Curious, eager, and hardworking Preferred qualifications: • Experience with viral capsid engineering by rational design or directed evolution, • Extensive experience with and knowledge of adenoviral vectors, • Experience with viral capsid library engineering Benefits Compensation: base salary is expected to be $90-130K depending on experience, with additional bonus compensation, equity compensation, and benefits including health insurance, dental insurance, vision insurance, and 401(k).

Job DescriptionPrincipal Applied Scientist, Small Language Models. Full-time New York City, NY, US Exclusive confidential search — details shared with qualified applicants. Benefits You'll Love • Top-tier medical, dental, and vision coverage, • 401(k)Become a Key Player as a Principal Applied Scientist, Small Language Models You will own the small, purpose-built language model that enforces compliance in real time, ensuring messages are safe before they are sent. In this hands-on senior individual contributor role you will drive model design, evaluation, and production performance, working directly with the founder and cross-functional stakeholders. Hybrid (3 days onsite in New York City). Here's How You'll Make an Impact on the Team • Own the compliance detection and rewrite model end-to-end: data, architecture, training, evaluation, and production, • Build the evaluation harness and labeled-data flywheel to prove model quality, • Optimize and balance accuracy, cost, and latency for production use, • Define and execute the path from frontier models to a smaller specialized model that matches or beats accuracy at lower cost and latency, • Build infrastructure for per-customer adaptation, including adapters and per-tenant tuning, • Translate plain-language policy into enforceable model behavior and document reasoning for model decisions, • Run focused error analysis on critical cases (missed violations and false positives)Here's What You'll Need to Be Successful in This Role, • 8+ years in applied ML or AI with models shipped and maintained in production, • Hands-on expertise in modern NLP and LLM techniques, including fine-tuning, distillation, and rigorous evaluation, • Strong judgment as a senior individual contributor who sets technical direction, • Deep instincts for model design tradeoffs (when to fine-tune vs. prompt, when to distill, when smaller models suffice), • Bias for shipping and measuring everything you deployHere's What Else Might Help You Out, • Experience transitioning systems from large general models to smaller specialized models for cost and latency, • Background in compliance, regtech, or other regulated domains, • Experience adapting one model to many customers (adapters, per-tenant tuning), • Public research, open source contributions, or technical writingPay Range $200,000 - $250,000/year Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at www.cresilon.com. The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME), and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position is a hybrid role, with work off-site at CRO in the NY area, work from home, and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life-cycle., • Plan, direct, coordinate, and execute activities related to the design, initiation. and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and reports. Act as a technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrater and manage Cresilon's preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that the company operates within the scope of regulatory compliance, including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for the preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state-of-the-art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross-functionally with Regulatory and Quality to assess project risks, product safety, and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • Work with the VP of Technology and the Director of R&D to ensure long-term vision and goals are met to reflect the company’s charter.nd Requirements • DVM, PhD or MD in a relevant discipline is preferred. A Bachelor's in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required. Hands-on surgical experience is require., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse., • Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project., • Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy. Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LINewYorkNewYork

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the Role: We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do: • Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, • Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on, • Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.The ideal candidate has:, • 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred, • A bias toward action, quickly translating ideas into working prototypes to test approaches, • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them, • Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong communication skills and the ability to synthesize complex algorithmic ideas for senior and external stakeholders, and to secure buy-in for cross-team work, • A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target base comp range for this position is $236,000 – $260,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description Job Title: Research Scientist V Grade: 31 Salary: $64,658.5-$75,378.5 The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a part-time Research Scientist V position. Research Scientist to join an NIH R01-funded project focused on addiction psychiatry and data science. The project integrates computational methods, clinical data analysis, and translational research to advance understanding and treatment of substance use disorders (SUDs), with emphases on psychiatric comorbidity, real-world evidence, and machine learning applications in addiction research. Duties and Responsibilities: • Conduct statistical and computational analyses of clinical, epidemiological, or administrative datasets related to substance use disorders., • Contribute to study design, data management, and interpretation of results., • Assist with manuscript preparation, grant-related reporting, and dissemination of findings., • Participate in team meetings and collaborate with investigators, clinicians, and data analysts., • Support other project needs as required (e.g., literature reviews, preliminary analyses). Minimum Qualifications: • Master's degree and six years of professional research experience in an appropriate field or Ph.D. in an appropriate field may substitute for one year of experience., • PhD or equivalent doctoral degree in neuroscience, statistics, epidemiology, computer science, bioinformatics, psychology, or a related quantitative field., • At least (2) years of a strong background in data analysis, statistical modeling (R, Python, or similar), and/or machine learning., • At least (2) years of experience with clinical or health-related datasets, • At least (2) years of prior research experience in psychiatry, addiction, or related areas is a plus. Preferred Qualifications: • Master's degree in a related field., • Experience with participant recruitment, data entry, and maintenance of research records in a regulated research environment., • Familiarity with gathering MRI data., • Excellent written and verbal communication skills., • Ability to work independently and collaboratively in a multidisciplinary team. Work Location: 1051 Riverside Drive, New York, NY 10032 To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • Publish at top-tier ML or neurotech venues (NeurIPS, ICLR, Nature Neuro, EMBC) and present findings to the research community. Minimum Qualifications: • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Demonstrated ability to operate independently on open-ended problems and drive original research with limited supervision. Preferred Qualifications: • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment., • Track record of curiosity-driven, independent research resulting in practical systems or open-source codebases. About our Culture: At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations. You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations. Key Responsibilities • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS, • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM, • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels, • Perform large-scale data extraction, transformation, and analysis using SQL, • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements., • Translate business problems into analytical solutions., • Present model insights and recommendations to senior client stakeholders., • Lead workshops and forecasting strategy discussions with clients., • Implement and operationalize models in cloud environments, • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions Requirements • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting, • Strong domain experience in CPG, FMCG, retail, or similar industries, • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels), • Strong SQL skills for large-scale data processing, • Proven experience deploying models in cloud environments (Azure preferred) Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Develop and integrate components for creating an operational information and knowledge discovery system. Requirements • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines., • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

As a Quantum Computing Research Scientist in the Global Technology Applied Research team, you will work across the full spectrum of quantum computing - from foundational theory and numerical simulation to hardware experimentation and business applications.

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams.These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world.We are seeking individuals pa

Job Description Summary: The Histotechnician performs a variety of routine and complex histological procedures to prepare tissue specimens for microscopic examination by a pathologist or scientist. This position requires a higher level of skill and independence, with responsibilities including advanced staining techniques, troubleshooting, and participation in quality control activities. (We are currently hiring only for the Evening Shift Per Diem) Responsibilities • Perform tissue grossing, embedding, and microtomy (FFPE and frozen/OCT sectioning), • Execute H&E and special stains according to established protocols, • Scan and digitize slides using whole slide imaging systems, • Troubleshoot histology workflows and perform routine equipment maintenance, • Perform quality control checks and maintain accurate documentation in the LIS Required Qualifications • 2+ years of histology experience, • Strong microtomy and staining proficiency, • Experience working with animal and/or human tissue types, • Ability to work in a fast-paced laboratory environment, • Flexibility to work weekends as needed based on lab workload Preferred Qualifications • New York State License and/or HT/HTL (ASCP) certification, • Experience with whole slide imaging / digital pathology platforms, • Experience in a research or CRO laboratory Benefits 24/7 Access to a Private Gym: Per diem Histotechs have access to a private gym at any time, supporting health and wellness outside of work hours. Cross-Training Opportunities: Gain experience across different areas of the lab, allowing you to expand your skill set and increase your versatility. Specialized Experience: Work with unique and complex orders, providing valuable exposure that helps build specialized technical expertise. Powered by JazzHR mGCtSRC6TN

$80 - $130/hourpaymaterials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skillsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Materials Scientist / Engineer Role Type: Contractor Location: Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering., • Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields., • Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training., • Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors., • Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning., • Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones., • Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices. Preferred Qualifications • MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization., • Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing)., • Strong analytical skills and experience interpreting complex scientific data., • Substantial experience conducting technical literature reviews and summarizing key findings., • Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences., • Experience with quality assurance and review of scientific documents or datasets., • Familiarity with remote collaboration tools and digital knowledge-sharing environments. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create "intelligence at scale." Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting‑edge AI research into real‑world products and taking features from 0 to 1. You will design, build, and ship production‑grade AI products including LLM‑powered applications, AI agents and copilots, retrieval‑augmented generation (RAG) and search, and AI‑enabled automation embedded directly into customer‑facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization. Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high‑performing teams, getting results the right way, and fostering continuous learning. • Bachelor's degree in computer science, a quantitative discipline, or equivalent practical experience, • 8 years of experience in software development and applied AI/ML with a Bachelor's degree; or 5 years with a Master's; or a PhD with relevant experience, • Proven track record of building and shipping software products rapidly – not just developing models or analyses, • Strong software engineering skills and proficiency in Python, including building APIs and backend services, • Experience leading ML design and optimizing ML infrastructure – model deployment, evaluation, and data processing – and working with machine learning frameworks and libraries, • Hands‑on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph, • Hands‑on experience building applications that leverage generative AI models, including prompt engineering and retrieval‑augmented generation (RAG), • Experience with generative AI research or applications preferred, • Experience designing agent‑based systems and orchestration frameworks preferred, • Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark preferred, • Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management preferred, • Experience rapidly developing and shipping software in a fast‑paced, customer‑facing environment, adapting to changing priorities preferred, • Understanding of responsible AI and governance for regulated or healthcare environments preferred This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in‑person collaboration with flexibility. For most teams, this means coming into the office two days each week. Employees living more than 50 miles from an office location will work with their manager to determine in‑office time based on business need. #J-18808-Ljbffr

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time. Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time. Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day. The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains. Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact. • Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale., • Manufacturing & Supply Chain (M&S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data., • Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more., • Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations., • Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team, • Own key features and projects; design and improve models, pipelines, and experimentation frameworks, • Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs, • Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers, • Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision, • Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies, • Lead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high-quality releases, • Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain-wide opportunities and influence strategy, • Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross-functional delivery; empower team members, • Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact., • A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions., • A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders., • Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving., • Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights, • Locations: New York City, • Contract type: Permanent., • Work policy: hybrid (2 days per week in the office), • Work Authorization: Applicants must already possess valid, unrestricted authorization to work in the United States. Please note that we are unable to sponsor employment visas at this time, either now or in the future, so candidates requiring sponsorship will not be considered for this role. LEARN MORE #J-18808-Ljbffr

Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: • Our Vision for AI in Pharma, • Our Current Drug Portfolio, • Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. We're looking for a Senior Data Scientist to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio. This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders. The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization. • Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP., • Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine., • Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness., • Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses., • Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use., • Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation., • Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership., • You have 5+ years of experience, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets., • You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes., • You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows., • You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction., • You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation., • You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows., • You value clarity, documentation, and structured thinking—especially when working with complex healthcare data., • You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster., • You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details., • Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data., • Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing. Total Compensation Range:$185,500 - $232,000 CompensationIndividual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law. #J-18808-Ljbffr

• We are looking for Data Scientists who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they’re applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact, • The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains, • Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact, • Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision‑making, powered by production‑grade ML systems at enterprise scale, • Manufacturing & Supply Chain (M&S): We optimize the end‑to‑end manufacturing and supply chain with cutting‑edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out‑of‑stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data, • Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI‑driven solutions that optimise clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimising trial design, building knowledge graphs across the pharma ecosystem, and more, • Cross‑Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialised domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organisations unlock insights and efficiencies in every corner of their operations, • Fast growth path, • Global company and culture, • Hybrid working model Senior/Lead Data Scientist – 7+ yearsPrincipal Data Scientist – 6+ yearsSomeone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improvingLead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high‑quality releasesDemonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain‑wide opportunities and influence strategyDefine and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependenciesSomeone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impactProvide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross‑functional delivery; empower team membersLead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignmentA scientist and builder: you explore multiple approaches, analyse results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutionsOwn key features and projects; design and improve models, pipelines, and experimentation frameworksHave deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic visionCommunicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade‑offsHave comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the teamA strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholdersReady to Lead Boldly – helping business leaders make decisive decisions powered by real‑time AI insightsProvide technical mentorship; set modelling standards and drive cross‑functional delivery with PMs, engineers, and customersWho we’re looking for (all levels): #J-18808-Ljbffr

Job DescriptionDescription: Role: Enrichment Teacher Location: Manhattan, Brooklyn, and Long Island City, Queens Salary Range: $20/hour Schedule: Shifts vary between 7:30am-6pm We have the following needs: 22nd St: 10am-6pm 67th St: 1:30pm-6pm 68th St: 8am-6pm and 12pm-6pm 94th St: 12pm-6pm Court Square, LIC: 1pm-6pm Dumbo: 11am-6pm Greenwich Village: 9am-5pm and 12pm-6pm Long Island City: 1:30pm-6pm Park Slope-Gowanus: 1pm-6pm Tribeca- 10am-6pm About us: New York Preschool & Kids Club is a premier early childhood education and enrichment program serving modern New York families through our combination of enrichment classes and preschool education. With multiple schools across New York City, NYPKC blends a research-backed, play-based curriculum with a fun and supportive environment, delivering a full family experience for children and parents. About the Role We are seeking a high-energy Enrichment Teacher to provide New York City’s 0 to 6-year-olds with a foundation for lifelong learning through our incredible enrichment classes. In this "jack of all trades" role, you are part athlete, part scientist, and part performer- transitioning seamlessly from spotting a budding gymnast on the bars, to leading a "mad science" experiment, or coaching a parent and toddler through their very first steps. As a natural storyteller with a flair for the dramatic and a heart for early childhood development, you will turn every lesson into a core memory, ensuring our youngest learners feel confident, inspired, and excited to explore the world around them. What You’ll Do • The Enrichment Chameleon: Lead and co-lead a dynamic range of classes for children ages 0 to 6. You seamlessly pivot between our diverse classes and age groups to keep every lesson fresh and every class special., • The Developmental Architect: Use structured and unstructured play, art, music, gymnastics, and STEM to build a child’s confidence and coordination. You’ll curate a "safe to fail" environment where a shaky first step or a messy art project is celebrated as a vital leap in their lifelong learning journey., • The Proactive Problem Solver: Master the art of the transition and the "behind-the-scenes" flow. Whether it’s resetting a gym circuit, organizing a classroom, or jumping in to assist a teammate, you tackle daily operations with a "ready-for-anything" attitude., • The Family Partner: Build trust with parents and caregivers through daily updates, sharing the successes and challenges of their child’s day, and building a bridge between school and home. The statements in this job description are intended to describe the essential nature and level of work being performed. They are not intended to be all responsibilities or qualifications of the job. Requirements: • Education: A High School Diploma or equivalent is required, but an Associate’s or Bachelor’s Degree in Early Childhood (or someone who is studying) is preferred., • Experience: 1-2+ years of formal teaching experience in early childhood (ages 0-6). Camp, pre-k, after-school, and other enrichment experiences are preferred. Experience teaching music, dance, gymnastics, or yoga is a plus!, • Special Edge: Be a passionate teacher and lifelong learner! Physical exam and background checks are required for this position. What Success Looks Like • Ensuring a safe, joyful, and engaging classroom environment where every child thrives., • Anticipating classroom needs and preparing resources well in advance of instruction., • Executing smooth, efficient transitions between classes and activities to maximize learning time., • Cultivating trust-based relationships with students, families, and the internal team., • Maintaining 100% compliance with all Department of Health compliance requirements. Why You’ll Love Working Here • The Time Off: PTO and sick/safe leave available., • Career Investment: Tuition Reimbursement Program (for full-time team members) to help you reach your next educational goal., • Comprehensive Care: Medical (full-time only), Dental, and Vision coverage, plus a 401(k) Plan with Company Contribution., • The Extras: Commuter programs, discounted fitness memberships, and more! Physical Demands: The role involves standing, walking, sitting, constant movement, and occasional climbing. The ability to lift and move up to 50 pounds is required. Specific sensory abilities include close vision, color vision, peripheral vision, depth perception, and adjustment of focus. Inclusivity and Diversity: NY Preschool & Kids Club is committed to an inclusive and diverse community. We celebrate differences, leading with kindness and respect. We are an equal opportunity employer, prohibiting discrimination based on various factors. Accommodations: The NY Preschool & Kids Club complies with ADA requirements. If you need accommodation in completing the application, please contact interview@nykidsclub.com.

Job DescriptionDescription: Enrichment Teacher Schedule: Monday-Friday hours between 8a-6pm, mainly 12pm-6pm, variable shifts based on location Pay Rate: $20/hour Location: Brooklyn, Manhattan, Queens About us: New York Preschool & Kids Club is a premier early childhood education and enrichment program serving modern New York families through our combination of enrichment classes and preschool education. With multiple schools across New York City, NYPKC blends a research-backed, play-based curriculum with a fun and supportive environment, delivering a full family experience for children and parents. About the Role We are seeking a high-energy Enrichment Teacher to provide New York City’s 0 to 6-year-olds with a foundation for lifelong learning through our incredible enrichment classes. In this "jack of all trades" role, you are part athlete, part scientist, and part performer- transitioning seamlessly from spotting a budding gymnast on the bars, to leading a "mad science" experiment, or coaching a parent and toddler through their very first steps. As a natural storyteller with a flair for the dramatic and a heart for early childhood development, you will turn every lesson into a core memory, ensuring our youngest learners feel confident, inspired, and excited to explore the world around them. What You’ll Do • The Enrichment Chameleon: Lead and co-lead a dynamic range of classes for children ages 0 to 6. You seamlessly pivot between our diverse classes and age groups to keep every lesson fresh and every class special., • The Developmental Architect: Use structured and unstructured play, art, music, gymnastics, and STEM to build a child’s confidence and coordination. You’ll curate a "safe to fail" environment where a shaky first step or a messy art project is celebrated as a vital leap in their lifelong learning journey., • The Proactive Problem Solver: Master the art of the transition and the "behind-the-scenes" flow. Whether it’s resetting a gym circuit, organizing a classroom, or jumping in to assist a teammate, you tackle daily operations with a "ready-for-anything" attitude., • The Family Partner: Build trust with parents and caregivers through daily updates, sharing the successes and challenges of their child’s day, and building a bridge between school and home. The statements in this job description are intended to describe the essential nature and level of work being performed. They are not intended to be all responsibilities or qualifications of the job. Requirements: • Education: A High School Diploma or equivalent is required, but an Associate’s or Bachelor’s Degree in Early Childhood (or someone who is studying) is preferred., • Experience: 1-2+ years of formal teaching experience in early childhood (ages 0-6). Camp, pre-k, after-school, and other enrichment experiences are preferred. Experience teaching music, dance, gymnastics, or yoga is a plus!, • Special Edge: Be a passionate teacher and lifelong learner! Physical exam and background checks are required for this position. What Success Looks Like • Ensuring a safe, joyful, and engaging classroom environment where every child thrives., • Anticipating classroom needs and preparing resources well in advance of instruction., • Executing smooth, efficient transitions between classes and activities to maximize learning time., • Cultivating trust-based relationships with students, families, and the internal team., • Maintaining 100% compliance with all Department of Health compliance requirements. Why You’ll Love Working Here • The Time Off: PTO and sick/safe leave available., • Career Investment: Tuition Reimbursement Program (for full-time team members) to help you reach your next educational goal., • Comprehensive Care: Medical (full-time only), Dental, and Vision coverage, plus a 401(k) Plan with Company Contribution., • The Extras: Commuter programs, discounted fitness memberships, and more! Physical Demands: The role involves standing, walking, sitting, constant movement, and occasional climbing. The ability to lift and move up to 50 pounds is required. Specific sensory abilities include close vision, color vision, peripheral vision, depth perception, and adjustment of focus. Inclusivity and Diversity: NY Preschool & Kids Club is committed to an inclusive and diverse community. We celebrate differences, leading with kindness and respect. We are an equal opportunity employer, prohibiting discrimination based on various factors. Accommodations: The NY Preschool & Kids Club complies with ADA requirements. If you need accommodation in completing the application, please contact interview@nykidsclub.com.

Job Description About you: Are you interested in expanding a career in digital marketing? The WITHIN team is growing, and we're hiring for Digital Media Strategists who are willing to take the lead across multiple digital marketing channels to meet goals at the intersection of performance and branding. This is a unique opportunity in a rapidly expanding company. This role requires hands-on paid media experience (Meta, Google Ads, etc.) focused on driving conversions, revenue, or ROAS. This means managing and optimizing ad spend—not organic social, content, or engagement. If you haven't directly managed budget in paid channels, please apply to our Digital Media Buyer role instead. Responsibilities will include and are definitely not limited to: • Working with a portfolio of clients, • Optimizing account performance using data insights, A/B testing, and consumer research, • Client communication (written & verbal), • Working across multiple teams to design and execute marketing strategies that align with client goals and business objectives, • Producing meaningful marketing KPI dashboards and delivering cross channel performance reports with actionable insight, • Analyzing cross-channel performance data and extracting actionable insights, • Note, This is not a data scientist or analyst role, but the role does work regularly with data, including basic analyses & projections, • Implementing proprietary technology and best practices, • Delivering creative & copy recommendations to clients based on historical performance, • Working closely with, mentoring, and developing junior team members Qualifications and Experience: • At least 1–2 years of experience in Digital Marketing, preferably Facebook & Google Ads, is REQUIRED., • Please see here for our opening for the role that does not require any prior experience, • Bachelor's Degree or equivalent experience, • General business acumen, • Desire to work in a deadline-oriented environment, • Interest in pursuing a career in performance oriented digital marketing, • Working knowledge of Excel (conditional statements, pivot tables and vlookups), • Full professional proficiency (written and spoken) of the English Language Our interview process includes, but is not limited to, the following: • Cognitive Aptitude and Typing Test, • Logic assessment on Excel We offer a competitive salary and benefits based on ability level, including: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($50,400-$88,000) • Level 1 - $50,400-$57,920, • Possesses essential capabilities., • Level 2 - $57,920-$65,440, • Possesses developing capabilities., • Level 3 - $65,440 - $72,960, • Possesses notable capabilities., • Level 4 - $72,960-$80,480, • Possesses strong capabilities., • Level 5 - $80,480-$88,000, • Possesses advanced capabilities. About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • Tik Tok Locations • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México AI-Assisted Screening NoticeAs part of our initial application review process, we may use an AI-assisted tool to help compare skills and job titles from your resume with the requirements of the role. This tool evaluates information based on contextual relevance and is used only to support our manual review process. It is not used to make hiring decisions.If you are a resident of New York City and would like to request an alternative evaluation process or a reasonable accommodation, please contact us at 315-533-2388.

You will earn competitive rates while working remotely on your own schedule. About Mercor’s talent network Join our Physical Scientist Expert Network to connect with leading AI labs and companies seeking your expertise. What we're looking for: - Professional experience in experimental research

Research Scientist Intern Ai Alignment.Job Title: Research Scientist Intern Ai Alignment.Job Description: This is the job description for the Research Scientist Intern position focused on Ai Alignment.The role involves contributing to research projects, assisting in experiments, and supporting the d

Join our Global Real Estate (GRE) Design & Construction (D&C) team and help shape the future of workplace insights at JPMorganChase. You'll be part of a fast-paced, collaborative organization where your ideas drive innovation and measurable impact. You'll gain exposure to high-visibility projects across the firm while building strong stakeholder partnerships. This role offers opportunities to grow your data science capabilities and expand your influence across a global organization. Job summary As a Senior Associate, Data Scientist within Global Real Estate Design & Construction , you will design, deploy, and scale analytics solutions that turn complex real estate and project delivery questions into trusted, actionable insights. You will partner with cross-functional teams to improve project delivery, capital planning, and workplace experience. You will apply statistical modeling and experimentation to solve ambiguous problems using diverse datasets. You will communicate findings clearly through compelling data storytelling and visualization. You will help drive decisions by delivering insights that are practical, measurable, and aligned to risk management practices. You will work across proprietary and industry-standard tools and data sources to assemble, organize, and analyze information at scale. You will contribute to a culture of continuous improvement by researching new measurement approaches and analytics methods. You will be expected to manage priorities effectively and deliver high-quality outcomes under tight timelines. You will collaborate with partners across job functions, adapting your message to audiences with different levels of technical expertise. Job responsibilities + Convert data into actionable insights and communicate outcomes through clear visualizations and storytelling + Build advanced analytics using methods such as predictive modeling, text mining, forecasting, optimization, and simulation + Apply data analysis techniques to develop recommendations and present insights to management + Use statistical and mathematical techniques to solve complex, unstructured business problems across varied datasets + Develop statistical models and design controlled experiments to test ideas and validate hypotheses + Research, develop, and implement new methods to measure and analyze datasets and processes + Assemble, organize, and analyze data using a range of proprietary, industry-standard, and open-source data stores and tools + Make decisions aligned to risk management practices and policies in the best interest of the firm Required qualifications, capabilities, and skills + Master's degree or PhD in a quantitative discipline such as Statistics, Physics, Economics, Applied Math, Computer Science, Operations Research, or Computational Sciences, including coursework/projects in machine learning and data analysis + Three or more years of related experience in data science roles + Intermediate knowledge of statistical software packages including SAS, Python, and R + Ability to navigate relational databases effectively + Practical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, and text mining + Ability to explain complex concepts in digestible terms for audiences with varying levels of expertise + Intermediate knowledge of machine learning and strong data storytelling capabilities + Proactive and results-driven approach with a proven track record of execution + Ability to influence stakeholders at all levels across a broad range of job functions + Ability to prioritize projects and efforts based on business need and industry trends + Sound judgment and integrity, with demonstrated commitment to compliance with regulatory obligations Preferred qualifications, capabilities, and skills + Industry experience in real estate, architecture, construction, or engineering JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary New York,NY $114,000.00 - $170,000.00 / year

This position is for a Clinical Development Senior Medical Director within the atirmociclib program. This individual contributor will be responsible for supporting clinical trial(s) and lead sub teams in clinical development. The successful candidate should ideally have prior experience in clinical trials, supporting development programs, health authority interactions and demonstrated leadership capabilities to ensure that the clinical development program meets scientific, ethical, and regulatory standards. Clinical Development Leadership on Study Teams and Development Subteams • Conduct medical monitoring activities including eligibility assessment, data review and safety monitoring., • Lead peer-to-peer interactions with investigators, • Serve as the point of contact for clinical issues between the study team, investigators, ethics committees, steering committees, and regulatory authorities., • Lead and contribute to development and maintenance of clinical trial and regulatory documents, in collaboration with Clinical Scientist and the cross-functional team., • Provide clinical development leadership across several study teams., • Serve as the Clinical Development Lead on subteams including for Marketing Authorization Applications. Strategic Guidance, Clinical Insights & Interpretation • Collaborate with the Global Development Team to create and refine development strategies., • Represent the company in external engagements or as committee member in joint collaborations., • Collaborate with Clinical Scientists to review and interpret clinical data, identify key findings and implications, and communicate to internal and external stakeholders., • Maintain a high level of clinical expertise and professional competence by staying abreast of the latest developments, literature, and guidelines to advise on and drive current and future clinical development plans., • Obtained a primary medical degree (e.g., MD, DO, MBBS, MBChB) from a recognized medical school/university and has 4+ years of experience in biopharmaceutical industry in clinical research and development., • Been licensed by a licensing body/health authority to prescribe medicines independent of supervision for at least 2 years post their intern/house officer/foundation period., • Board certified/eligible in oncology or equivalent preferred, • Breast Oncology experience (2+ years), • Late phase clinical development experience preferred Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Non-standard work schedule, travel or environment requirements • Travel to scientific conferences/meetings several times per year, as needed, • Relocation support available Work location assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. Salary and benefits information The annual base salary for this position ranges from $274,500.00 to $457,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 25.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.