Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. As a Staff Applied Scientist sitting within our Data Science organization, you will be responsible for building cutting edge models to navigate critical tradeoffs to drive business value. What You’ll Be Doing (ie. Job Duties) - Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML) - Act as a leader to establish standards for measurement for new product and feature launches - Provide technical mentorship for other members of the data science organization - Act as a thought partner for senior leadership to help guide our product development process What We Look For In You: - PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience - Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling - Deep theoretical and applied expertise in a wide range of quasi-experimental methods - A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders. - Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Nice to Haves: - Experience in the fintech or crypto industries. - Specific experience working pricing models, marketing attribution, or customer LTV modeling. - Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. PID: P55383 #LI-Remote Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $207,485—$244,100 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: - Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. - Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. - Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. - Establish and maintain best practices for data collection, analysis, and reporting. - Deliver actionable insights and recommendations focused on landing tangible product impact. - Help foster a culture of data-driven decision-making and continuous improvement within the product teams. - Ensure the integrity and accuracy of the data used for analysis and reporting. - While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: - Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. - Expertise in translating complex data into insights that are actionable for cross-functional teams. - Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. - Experience in building and maintaining reliable analytics infrastructures. - Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. - Experience with 0 to 1 product initiatives is a plus, though not required. - A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: - Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. - Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. - Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. - Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. - Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. - Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $160,000—$200,000 USD Tier 2 Pay Range (All other US Locations) $140,000—$176,000 USD We are AI NativeApollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at ApolloAt Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!

Description HEALTH SCIENTIST To support ICF’s growth and client base, we are seeking a Health Scientist to work in our Health Science Portfolio. This group of 100+ science professionals provide toxicology, hazard assessment, epidemiology, risk assessment, exposure assessment, environmental modeling, and related support that addresses the full spectrum of potentially hazardous agents, including chemicals and microbes. We specialize in identifying and quantifying the effects of environmental pollutants, such as metals, pesticides, and volatile organic compounds, on human health and the environment. The Health Scientist’s project work would support federal agencies (such as U.S. EPA and NIEHS) in conducting and reporting the results of hazard studies and supporting risk assessments of environmental pollutants and microbes. The position can be located remotely, although preference is for a candidate to be located in Durham, NC. Key Responsibilities: - Project and technical support of activities on multiple projects concurrently involving epidemiology data, mechanistic data, exposure data, systematic literature reviews, and risk assessment. - Support of and project leadership in literature reviews of carcinogens and other substances for potentially hazardous agents, including: - screening available studies for relevance to a research question, - extracting relevant study data, - evaluating study design and the risk of bias for included studies, - synthesizing evidence to reach a hazard conclusion, - performing quantitative analyses to develop dose-response relationships and meta-analyses, and - documenting methods, assumptions, conclusions, and key data gaps in a report - Task and project management - Interaction and correspondence with clients - Review of work produced by others - Development of technical publications and guidance, presentations at conferences, and proposal sections - Mentoring and training other technical staff Basic Qualifications: - Graduate degree in epidemiology, environmental health, biostatistics, exposure science, or related subject. - Minimum one year of experience with government programs (preferably U.S. EPA or NIEHS) Professional Skills You Will Use: - Proactive and problem-solving approach to challenges - Excellent organizational skills and attention to detail - Ability to prioritize, multi-task, and work under strict deadlines in a fast-paced environment. - Experience with project management and staff leadership - Demonstrated ability to formulate and execute technical approaches to solving scientific questions Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $89,222.00 - $151,678.00 N Carolina Remote Office (NC99)

Job Description We are seeking an experienced talented scientist to join the Quantitative Pharmacology and Pharmacometrics – Immune/Oncology (QP2-IO) team in the role of Senior Specialist, Quantitative Systems Pharmacology (QSP). QP2-IO team is part of the Global Clinical Development organization and has oversight over drug development aspects related to clinical pharmacology, mechanistic PK-PD modeling and pharmacometrics of oncology drugs from post-PCC to registration. The Senior Specialist within the QP2-IO Group will work closely with teams of highly collaborative, cross-functional scientists to contribute to the development of novel therapeutics. They develop strategies for quantitative analyses (and commensurate experiments/trials) within and across development programs and/or functions. They collaborate within QP2-IO and with other functional areas, as well as with external vendors and partners if work is outsourced, creating an aligned, quantitative framework to impact strategies and decisions of drug development teams. Primary Responsibilities: - Serving as a QSP expert for QP2 -IO for developing and executing model-based analyses including QSP models and mechanistic PK/PD models into programs thereby strengthening our quantitative capabilities on a continuous basis in decision making and driving pipeline impact. - Bringing forward combination drug approaches by leveraging QSP models to design and prioritize combination clinical trials - Work in close collaboration with biologists, clinicians, clinical pharmacologists, pharmacometricians and other line functions to improve our understanding of disease mechanisms and modalities - Experience with QSP modeling in oncology for different modalities (small molecules,monoclonal antibodies, antibody drug conjugates, T-cell engagers, bispecifics). Minimum education required: - Ph.D., or equivalent degree OR a PharmD or equivalent degree with at least two years of experience OR Masters or equivalent degree with four years of pharmaceutical or academic experience relating to: systems biology/pharmacology, mechanistic PKPD, mathematics, chemical/biomedical engineering or related field. Required Experience: - Experience in developing mechanistic PK-PD models and QSP models for decision making in early and/or late-stage clinical development - Experience with mechanistic modeling for antibody drug conjugates (ADCs), bispecifics, and/ or T-cell engagers will be preferred - Experience with modeling and simulation packages or programming languages (e.g., MATLAB/SimBiology, QSP Designer, R) - Hands on experience building, calibrating, and validating QSP models - Professional working proficiency in written and verbal communication. The remote position is only applicable for those that are not within commutable distance to primary sites noted in posting. If commutable, the position will be hybrid. Please note that standard commute is (less than) <50 miles." #QP2 #EligibleforERP Required Skills: Biopharmaceutics, Data Analysis, Data Modeling, Data Science, Data Visualization, Drug Development, Pharmacodynamics, Pharmacokinetics, Pharmacology, PKPD Modeling, Quantitative Biology, Simulation Models, Stakeholder Relationship Management, Systems Biology Preferred Skills: Antibody Drug Conjugates (ADC), Clinical Development, Clinical Pharmacology, Pharmacometrics, T Cells Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. The salary range for this role is $129,000.00 - $203,100.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits. You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: Yes Travel Requirements: 10% Flexible Work Arrangements: Remote Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 04/7/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.