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Experience with data wrangling, evaluating data quality, transforming and cleaning data as appropriate for analysis. Principal AI Data Scientist | Build, Deploy, and Scale Enterprise AI Solutions. Complete required data preparation, including data input with guidance.

Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data) Reports to: Head of Data Science About the role Our client, a leader in consumer purchase data and analytics, turns large-scale card transaction data into intelligence for brands, investors and agencies. They’re hiring a Principal Data Scientist to be the hands-on technical lead for the team that turns this data into statistical methods and machine learning models. This is an individual-contributor tech lead role. You’ll guide the work of several data scientists, with a path to people management. A partner team handles data cleaning, merchant resolution and categorization. This role picks up from there: making the data statistically sound and predictive, then shipping it. What you’ll do • Own models end to end: design the methodology, build it, deploy it to production and monitor it., • Build the statistical layer that makes analysis on the data trustworthy: panel weighting, balancing, normalization, cohorting and bias correction., • Build predictive models from past behavior, such as spend prediction, category and brand trend forecasting, propensity and churn, and behavioral embeddings., • Apply causal methods (incrementality, synthetic control, uplift) where the problem calls for them., • Set technical direction, review the team’s work, and explain and defend methodology to stakeholders and clients. Must-haves • Hands-on experience with credit card or card transaction data., • A track record of shipping ML and statistical models to production yourself, not just analysis or prototypes. Strong production engineering in Python and SQL on a cloud data warehouse., • A deep statistics foundation: sampling, weighting and calibration, bias correction, and judging when a result can be trusted., • Predictive modeling and forecasting built on raw, transaction-level behavioral data., • [8+] years of experience, including leading the technical work of other data scientists., • Clear, concise communication of methodology. Nice to have • Causal inference and experimentation, as a complement to ML., • Representation learning and embeddings., • Privacy-preserving ML and data clean rooms. This role is not focused on fraud, AML, credit risk or loss/reserve forecasting, and it is not a pure experimentation or A/B testing role. Keywords: ML Scientist, Statistical Modeling, Predictive Modeling, Paneling, Normalization, Cohorting, Causal Inference, Synthetic Control, Uplift Modeling, Transaction Data, Behavioral Modeling, Forecasting, Representation Learning, Privacy Preserving ML, Cleanrooms, Production ML Pipelines

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We created the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the top 10 by AUM and the world's leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: a private equity investment arm, an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, GSB, HBS, and Wharton. Our leadership includes early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders, not slide-makers. About the Role: We are hiring a Forward Deployed AI Engineer to join our AI transformation team. This is not a typical software engineering role. You will not be maintaining a single codebase or optimizing one product. You will be building and deploying AI solutions across dozens of companies, industries, and problem domains, working directly with clients and PE sponsors to solve their highest-value business problems with production-grade GenAI, ML, and automation. In a given month, you might build a RAG system that automates a core operational workflow for a healthcare services company, deploy an ML model that optimizes pricing for a financial services platform, architect a data pipeline that unlocks analytics capabilities for a business that has never had them, and mentor junior engineers on the team through all of it. Every solution you build is tied to measurable business impact. You will see your code move EBITDA, not just pass tests. This role sits at the intersection of engineering excellence and client impact. You will be in the room with executives and PE partners, translating business problems into technical architectures, then building and shipping the solutions yourself. If you want to be the best AI engineer in the world, there is no faster way to get reps across industries, problem types, and AI techniques than this role. About You: You are an engineer who builds fast, ships to production, and cares about business outcomes, not just technical elegance. You are comfortable working directly with non-technical stakeholders, translating ambiguous business problems into clean technical solutions, and iterating in tight cycles. You take pride in code that works in the real world, not just in a notebook. Specifically: • 3+ years of experience building and deploying software products end to end (design, implementation, testing, deployment, maintenance), • Expert in Python (Django, Flask, FastAPI, Pandas, etc.) and/or JavaScript (React, Node). These are our primary languages and you should be deeply fluent in at least one., • Strong experience with SQL, data modeling, and cloud infrastructure (AWS, GCP, or Azure), • Hands-on experience with generative AI: you have built RAG systems, AI agents, prompt engineering pipelines, fine-tuned models, or similar. This is not a "nice to have," it is core to the role., • Experience with data engineering, integrations, ETL/ELT pipelines, and working with messy, real-world data, • Experience with data science and ML: NLP, recommender systems, classification, regression, neural networks. You don't need to be a research scientist, but you should be comfortable selecting, training, and deploying models., • You have owned production systems. You know what it means to deploy, monitor, debug, and maintain software that real users depend on., • You are comfortable in client-facing environments. You can explain technical trade-offs to a CEO, scope a solution with a business stakeholder, and present a demo to a PE partner., • Experience managing or mentoring other engineers is a strong differentiator. You will be expected to elevate the technical bar of the broader team., • B.S. or M.S. in Computer Science, Engineering, or a related technical field, • Legally authorized to work in the US What Sets the Best Candidates Apart: The engineers who thrive at SaxeCap are a specific breed. They combine deep technical skill with business intuition and client presence. The strongest signals we look for: • Production over theory. You have shipped AI systems that real users and real businesses depend on. Kaggle competitions and research papers are fine, but we care most about code running in production with measurable impact., • Breadth and speed. You can pick up a new domain, a new tech stack, or a new problem type and be productive in days, not months. You've worked across multiple problem areas and can context-switch without losing quality., • Full-stack AI fluency. You don't just build models. You build the data pipelines that feed them, the APIs that serve them, the frontends that expose them, and the monitoring that keeps them running. You think in systems, not components., • Client-facing instinct. You can sit in a room with a CFO or a PE partner, understand what they actually need (not just what they say they need), and translate that into a technical plan on the spot. The best FDAIs at SaxeCap are as comfortable in a boardroom as they are in a terminal., • Builder DNA. Open-source contributions, side projects, hackathon wins, or a startup attempt. You build things because you can't help it. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact. You will get more reps across AI techniques, industries, and business problems in one year at SaxeCap than in five years at a typical tech company.

Global Talent Search 2027 | Early and Mid-Career Research Talent We are seeking outstanding early- and mid-career researchers worldwide for international research and innovation opportunities. We collaborate with leading universities, research institutions, and innovative enterprises to connect emerging research talent with opportunities in scientific research, technological innovation, and long-term career development. Priority Research Areas Artificial Intelligence | Advanced Manufacturing | New Materials | Biotechnology & Pharmaceuticals | New Energy | Electric Vehicles | Data Science | Life Sciences | Environmental Science | Digital Economy | Strategic Technologies Who We Are Looking For We welcome PhD-qualified applicants at the following career stages: • Postdoctoral Researchers: PhD graduates currently undertaking postdoctoral research, with relevant expertise and demonstrated research potential., • Industry R&D Experts: Researchers with experience conducting independent research and a record of academic or applied research achievements., • Associate Professors and Above: Academics at the Associate Professor level or higher, with experience in research, teaching, or both. Applicants from universities may hold research-focused, teaching-focused, or combined appointments. Applicants from industry must hold a Scientist I position or above. Requirements: • A PhD degree in a relevant scientific, engineering, or technology discipline, • At least three years of research experience in an academic or industry setting, • A strong research track record, demonstrated through publications, patents, or other relevant achievements, • An interest in independent research and international collaboration Opportunities Selected candidates may have opportunities to: • Develop independent research directions, • Lead or participate in research and innovation projects, • Work with established research teams and leading institutions, • Engage in international academic and industry collaboration, • Explore long-term academic or industry career opportunities Attractive Compensation & Funding Competitive employment packages may include: • Annual Salary: Approximately USD 70,000 – USD 285,000+, depending on qualifications, experience, discipline, and host institution., • Government Talent Award: Eligible candidates may receive talent award up to USD 570,000, and housing support up to USD 240,000, • Outstanding researchers may also become eligible for additional research funding of up to USD 715,000. Additional support may include housing assistance, family-related support, and other applicable benefits, depending on the specific opportunity and candidate profile. If you are an early- or mid-career researcher looking to advance your research and explore new opportunities, we welcome you to connect with us. How to Apply Please send your CV and a brief summary of your research interests to . #Research #Innovation #GlobalTalent #PhD #Postdoc #EarlyCareerResearcher #RAndD #AI #Biotechnology #NewMaterials #NewEnergy

Verasight was founded by and for academic researchers. We are building the future of survey research with unparalleled data quality and a re-imagined survey respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect academic research, national policy, the direction of Fortune 500 companies, and the public conversation. We are looking for a Data Engineer to build the tools and data infrastructure behind our survey research. We are a scrappy team, and you will work directly with our data science team to build Verasight and to expand access to high-quality survey data. This role reports to the VP of Data Science. We depend on colleagues who are diverse, team-oriented, novel thinkers, and passionate about redefining the survey research landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Does this position sound like a good fit? In addition to applying on LinkedIn, email us at • Include this role's title in your subject line (it'll help us to sort through the emails), • Include your CV/Resume, a one-paragraph statement of interest, and a link to your GitHub profile (if available) Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc About the Role Our data scientists field surveys, clean and weight data, monitor panel quality, and deliver results to clients. Much of the tooling that makes that work fast and trustworthy includes R packages for reporting, pipelines for survey fielding and recruitment, cost and margin tracking, panel quality monitoring, and AI-assisted tools that turn questionnaires into live surveys. You will help own and extend that tooling. Your customers are our data scientists. Your job is to understand how they work well enough to build tools that make their work faster, more reliable, and easier to audit. You'll see the whole system end to end and ship right-sized solutions. Responsibilities • Build and maintain internal tools, packages, and pipelines (largely R and Python) that remove bottlenecks from survey fielding, data cleaning, weighting, reporting, and panel monitoring, • Work alongside data scientists on live projects to learn their workflows before automating them, so the tools fit how people actually work, • Respond quickly when a data scientist hits a wall; you'll often be the first call, • Scope problems well: decide whether a need calls for a script, a package, a scheduled job, a service, or nothing at all, • Use AI coding and analysis tools as a real part of your workflow, verify what they produce, and help shape what responsible AI use looks like at Verasight, • Partner with Verasight leadership on where our data infrastructure should go, solving today's problems in ways that help us move into the future. Required Qualifications • 2+ years writing code that other people depend on, in Python or R, and willingness to work in the other, • Comfort with SQL and relational databases, • Working fluency with Git, GitHub, and code review, • Some experience with cloud services or managed platforms (we use AWS, Supabase, Railway, and Vercel, among others); we care more that you can learn a platform and less about the specific stack you’re most comfortable with today, • Sound security instincts: you keep secrets out of code, think about who can access what, and handle sensitive data carefully, • Hands-on experience using AI tools to write or review code, and informed opinions about where they help and where they don't, • Excellent written communication, including clear READMEs and short design notes, • Willingness to operate independently and desire to constantly innovate, • Commitment to working in an inclusive environment, • Preferred: experience with survey data or Qualtrics, R package development, CI/CD (GitHub Actions), containers or infrastructure-as-code, scheduled data pipelines, familiarity with survey methodology (weighting, sampling, data quality checks) We don't require a computer science degree, experience at a large tech company, or years on a specific big-data stack. If this sounds like you and you're unsure about a bullet, apply anyway. Benefits • Competitive salary based on experience, • 401(k) with company matching, • Health insurance, • Gain experience working directly with government agencies, nonprofits, academic researchers, and corporations, • Remote work About Us Founded by Peter Enns (Cornell Professor of Government & Public Policy) and Ben Leff (Stanford GSB and ex. Goldman Sachs), Verasight was built by and for academic researchers. Our customers include national media organizations, Fortune 500 companies, national and state government agencies, investors, brands, and researchers. We are looking for bold leaders to join our team to re-invent what it means to collect and analyze survey data.

Senior Data Scientist - Measurement. As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. Your daily Impact as Senior Data Scientist.

We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metr

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rul

Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data. People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. We need a Data Scientist with a proven track rec

Your daily Impact as Data Scientist. As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. Explore our data and systems, prototype ideas, run exp

Shopmonkey has the structured data and workflows to support serious data science work, and you'll have the rare opportunity to help build the analytical and ML foundation from the ground up, shaping how data-driven decision making scales alongside a maturing platform and defining what the future of

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. What you'll be doing • Interpret customer requests and translate them into functional requirements (recognize the distinction between user requests from the underlying true needs), • Documentation of business processes and workflow (‘as is’ and ‘to be’) using swim lane diagrams, • Identify customers key success criteria and ensure they are tracked and measured within the solution, • Maintain a thorough understanding of the Sapio Sciences product portfolio and how it is configured, • Effectively provide end user training on customized solution to show how the implementation met customer's goal, • Be able to perform configurations of the workflow/experiment in the Sapio Platform, and/or in some cases create wireframe mockups of the workflow/experiment, • Effectively document, communicate (oral and written) and explain technical material, • Perform root cause analysis, uncover critical business requirements, and facilitate solution delivery, • Expected to function independently and produce results that meet standards of quality, timeliness, and acceptability with minimal supervision, • Liaise with the product to ensure new customer driven feature requirements are captured, • Become our customer’s trusted technical partner, regularly review their deployment to ensure successful leverage our full product and service portfolio, • Work closely with the Sapio Sciences US team to establish scalable processes and working methods, • Meticulously manage all BA related deployment services documentation, • As needed, assist in testing sprint deliverables to ensure they meet requirements Requirements • Previous experience with LIMS or ELN software, • Life Sciences experience working within a Lab (preferably introducing new IT solutions), • A BS/BA degree or equivalent in Life Science (e.g. molecular biology, chemistry), • Qualified in lean Six Sigma, • Working knowledge and experience with JIRA and Confluence, • Substantial experience of effectively managing external stakeholders including strong communication skills and ability to build working relationships at all levels, • Experience leading external client workshops, documenting business needs and outcomes, • Proven organizational skills, with the ability to deliver agreed workload within deadlines while maintaining a high degree of accuracy and attention to detail, • Strong analytical, problem solving, interviewing, data analysis and fact-finding skills, • Excellent listening and presentation skills Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. 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.

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. Position Summary Sapio Sciences is looking for an experienced professional who can deliver strategic insights combined with an outcome-focused mindset, ensuring our customers feel guided, consulted, valued, understood, and empowered. Responsible for fostering strong relationships while creating new contacts, anticipating needs, and going above and beyond to provide exceptional experiences for each customer. Living the Sapio brand and becoming a trusted partner will guide all activities. It is also critical to ensure our customers realize the full potential of our solutions, supporting long-term value realization, and meeting strategic objectives. The CSM will work closely with customers and internal teams to proactively identify areas for improvement, helping drive growth and ongoing success. Remote (EST): Candidates must live and work within the US Eastern Time Zone. Key Responsibilities: Customer Relationship Management • Ability to assist customers and understand the scientific language of ELN/LIMS and AI, • Provide customer consultation on best practice related to data management, laboratory execution and AI exploration and adoption Drive usage, time to value, and user adoption while developing and tracking KPIs to measure Customer Health and report accurately to the management team • Cultivate and maintain strong, trusting relationships with customers through regular, personalized communication and support including QBRs, • Develop and identify new opportunities for Sapio to deliver value to clients aligned with existing and emerging solutions, • Work in partnership with Commercial team to develop Account Plans, action plans and messaging in order to align activities across the customer life cycle that align with client strategic goals and business initiatives, • Actively listen to customer needs and concerns, displaying empathy and a solution-oriented approach in every interaction, • Serve as the customer’s advocate internally, collaborating with other departments to ensure their voice is heard and their needs are met, • Track and report on customer success metrics and KPIs to inform strategic improvements Onboarding and Orientation • Guide new customers through a welcoming onboarding process, focusing on clear, friendly, and supportive communications to ensure they feel confident with our products/services, • Support new customer onboarding by ensuring pre-partnership expectation and goals are effectively transferred to the post-sale team and reflected in Sapio deployment plans, • Develop and implement onboarding materials for the Sapio partnership Customer Support and Issue Resolution • Proactively monitor customer accounts to identify any challenges they may be experiencing and offer empathetic, proactive solutions, • Develop and execute customer success plans to drive adoption, satisfaction, and retention, • Maintain close customer communication, gathering feedback at key milestones and sharing insights with internal teams, • Conduct milestone surveys to track satisfaction, guiding customers through each stage from implementation to post-go live, • Monitor customer health metrics to proactively identify and address potential risks, • Resolve customer issues promptly with a calming, solution-driven approach that minimizes customer stress and frustration, • Anticipate needs and provide tailored support, ensuring each customer feels respected and valued Customer Education and Advocacy • Coordinate with internal teams, customer workshops, webinars, and check-ins, aimed at educating customers on product features, best practices, and tips that can maximize their success, • Actively pursue contact expansion increasing our network inside the account with a focus on altitude elevation and horizontal expansion with the goal of finding new opportunities to solve the client’s most important problems, • Be a customer advocate internally, highlighting areas where customer experience can be improved and advocating for changes with a focus on empathy and understanding, • Strive for 100% referenceable customer base Hospitality-Driven Engagement • Design and implement customer touchpoints with a hospitality mindset, ensuring every interaction feels personable, attentive, and helpful, • Take a concierge-style approach to customer needs, going above and beyond in helping them access the resources, training, or support they need to thrive Desired Education/Experience: • Bachelor’s degree in Bioinformatics/ Laboratory informatics, Information technology with scientific applications, Life Sciences, Scientific computing or Data Management, Hospitality, Communications or Public Relations or a related field, • Experience in Customer Success in Life Sciences: Prior experience (10+ yrs) in customer success or account management-related roles in scientific software industries Required Skills & Abilities: • Empathetic Communication Skills: Strong interpersonal skills with a focus on empathy, patience, and understanding, • Problem-Solving Skills: Ability to anticipate challenges and provide creative, customer-centered solutions, • Organizational Skills: Strong organization and multitasking abilities to manage multiple customers’ needs and schedules effectively, • Team-Oriented Mindset: Collaborative spirit, with a genuine desire to work closely with team members to enhance customer satisfaction, • Proficiency with CRM and customer success tools, with experience in survey data analysis as a plus, • Global travel to client sites The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. 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.

Senior Bioinformatics Scientist ( ctDNA ), San Diego, CA / Remote (US) - $150,000 - $180,000 Are you passionate about advancing cancer diagnostics through cutting-edge bioinformatics and testing? Our client, an innovative biotechnology company focused on molecular diagnostics, is seeking a Senior Bioinformatics Scientist to lead the development of next-generation laboratory-developed tests in a highly collaborative and regulated environment. Who you are: • PhD in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a related quantitative field (or MS plus additional industry experience)., • 6+ years of experience in biotech, diagnostics, or regulated healthcare environments., • Hands-on experience developing NGS-based clinical assays, including ctDNA and MRD applications are a must., • Strong Python programming skills with experience building production-grade bioinformatics pipelines and following SDLC best practices., • Proven success working within CAP/CLIA, IVD, FDA, or similarly regulated development environments. What you'll do: • Lead bioinformatics strategy, development, optimization, and validation efforts for MRD diagnostic assays., • Design and execute analytical studies evaluating assay performance, including sensitivity, accuracy, reproducibility, and limit of detection., • Develop and maintain scalable bioinformatics pipelines for QC, variant calling, MRD detection, and reporting., • Collaborate with assay development, clinical, quality, regulatory, software, and data science teams to deliver validated solutions., • Mentor junior scientists and contribute to technical documentation, audits, and regulatory submissions. What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and education. The expected range for this role is $150,000-$180,000 per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience. What's next? Please email your resume to if you're excited to explore this opportunity with our client. We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!

Location: Remote Length: 24 months Duties/Responsibilities: • Leads and coordinates the management and execution of all clinical trial activities in compliance with GCP and relevant regulatory guidelines. May act as Clinical Operations Leader (COL), accountable for trial performance., • Detailed management and oversight of regional/global trial activities, as Accountable for achieving site activations and enrollment milestones in assigned region., • Coordinates cross-functional study clinical team activities to ensure deliverables are completed with high quality, within agreed timelines, and on budget through information-sharing, ongoing study team meetings/discussions and ensuring effective risk management plan, • Develops and manages detailed project and other trial-related plans and documentation and provides regular study status updates to senior management., • Reviews and contributes to the development of clinical trial synopses, protocols, amendments, Case Report Forms (CRFs), IRB/Ethics applications, and recruitment materials., • Creates and/or reviews and approves specific study documents, g., informed consent forms, study guidelines, operations manuals, training materials, study plans. Liaises with CRO and legal to provide language acceptable for IRB’s/EC’s., • Drives timely and efficient execution of site feasibility assessments in close collaboration with Clinical Development, Medical Affairs, and Clinical Operations colleagues, including evaluation of site capabilities, patient population access, investigator experience, and therapeutic area expertise, to inform site selection decisions and ensure alignment with study objectives and enrollment targets., • Collaborates with regional MSLs (if applicable) to support investigator engagement activities. May support organization of investigator engagement meetings or events at industry congresses/conferences., • Accountable for development of action plans to address protocol compliance, safety, data, and administrative issues with investigator sites., • Participates in risk-based quality management (RBQM) activities to ensure data integrity and patient safety., • Implements risk-based monitoring (RBM) and centralized monitoring strategies in collaboration with CROs as applicable. NOTE: This is not applicable for early phase trials., • Supports COL with planning, and may attend and present at investigator meetings, kick-off meetings, monitoring training, and various CRO (or other vendor) meetings., • May attend site visits for CRO oversight and/or investigator engagement. Vendor & Contract Research Organization (CRO) Management • Responsible for end to end vendor management from study planning to close-out, through regular review of study metrics, milestone tracking, and quality assessments to ensure contractual deliverables are met., • Applies critical thinking skills and trial management experience to actively engage with vendors, to ensure proactive risk management, timely and thorough issue resolution, protocol compliance and compliance with local regulations as applicable., • Reviews vendor Statements of Work/agreements and provides input from a site management/operational lead perspective. Data Review • Collaborates closely with Data Management and other functional areas, vendors, and the CRO to achieve database lock milestones during the project lifecycle., • May work collaboratively with Clinical Scientist, Clinical Development Lead, and clinical study team to ensure ongoing review of patient profiles and data listings. Inspection Readiness • Supports inspection readiness preparation and maintenance throughout the life cycle of the trial, including but not limited to ensuring Trial Master File documents are appropriately filed, and reconciled at end of the study. Qualifications/Requirements: • Minimum of 7+ years of clinical trial management experience within pharmaceutical / biotechnology industry, managing the logistics of clinical trial, • Minimum 2+ years of indirect/influence management of team members, including coaching and mentoring for knowledge sharing and enhanced communication and leadership skills, • Experience in rare disease and/or orphan indications is, • Experience managing global, large and/or early phase complex studies and project teams is required., • Demonstrated experience managing global CROs and other specialty vendors is, • Thorough understanding of the drug development process and clinical trial execution, including ICH/GCP requirements and local regulations., • Demonstrated strong leadership skills and the ability to work successfully in matrixed team environment, • Can work independently with minimal oversight and proactively initiates before asked to assist colleagues and/or manager, • Possess critical thinking skills for problem-solving, conflict resolution, collaboration, and interpretation, • Excellent written and oral communication skills, as well as conflict management, time management and organizational skill, • Bachelor's degree preferred in the life sciences, healthcare, or related field.

Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards. Data Analysis & Pipeline Ownership. Identify, collect, clean, validate, and transform all data required for prediction model consumption.

Leverage Verasight’s data pipelines and processing procedures to own the data collection and quality process from end to end, including: building contact lists and sampling frames, monitoring survey fielding, cleaning and analyzing survey response data, writing methodology documentation, and prepa

We are seeking a Data Scientist to develop and evaluate AI solutions for legal content workflows. Our client, a major legal company, is actively looking for a Senior Data Scientist to join their team! This is a fully remote position, however candidates must be located in the US and able to work EST

Sr. Data Scientist (Live Anywhere) Looking for your next challenging opportunity? Then this role is for you! We are targeting a resource with a background in Operations Research and Mathematical Optimization Modeling with a Retail or Supply Chain domain. RESPONSIBILITIES: • Perform Exploratory Data Analysis (EDA), • Develop models from scratch using AI for development, • Generate ideas and develop solutions, • Develop models (testing and training), • Create prototypes and Proofs of Concept (POCs) for rapid validation and feasibility assessment, • Conduct experiments and measure impact, • Deploy models into cloud production environments, • Monitor model performance This is a tremendous opportunity to work on highly visible projects! Enjoy a casual dress code, dynamic and high-energy team members, and the ability to learn and execute business skills from a leader in their industry. This 12-month contract position in Atlanta, and you can work remotely. Visionaire Partners offers all full-time W2 contractors a comprehensive benefits package for the contractor, their spouses/domestic partners, and dependents. Options include 401k with up to 4% match, medical, dental, vision, life insurance, short and long-term disability, critical illness, hospital indemnity, accident coverage, and both Medical and Dependent Care Flexible Spending Accounts. REQUIRED SKILLS: • 2-3 years of professional experience as a Data Scientist, • Expertise in Operations Research and Mathematical Optimization Modeling., • Strong experience with Linear Programming (LP), Mixed-Integer Programming (MIP), and Network Optimization, • Strong experience in Python, • Expertise in optimization libraries and solvers such as CPLEX, Gurobi, OR-Tools, or similar tools. (Gurobi used in the current environment), • Proven track record of deploying models and data pipelines in cloud environments, preferably on GCP or other cloud platforms, • Exposure to using Git for version control and collaborative development, • Master's degree (Operations Research, Engineering, Mathematics, Statistics), • PhD in Quantitative Field (if not, then 4 years of professional work experience) PREFERRED SKILLS: • Demand forecasting experience (Time Series, ARIMA, etc.), • Strong experience in data visualization tools (e.g., Tableau, Looker Studio etc.) Must be authorized to work in the U.S./Sponsorships are not available.

Company has already shared a model validation dataset with PC's data science team. It also frees the data scientist who built the system for other work, so the hire must run with little handholding after a roughly 6-week ramp. Work with the hiring manager and the technical lead on Company's Legal, C

As Scientist / Lead, Translational Data Platforms, you will play a pivotal role in shaping how researchers interact with complex clinical and multi-omic datasets, influencing platform strategy, developing innovative analytical capabilities, and helping build technologies that enable the next generat

Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team. Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering. Design and implement robust statistical models and machine l

Data Analyst / Data Scientist (Utility Analytics).Contract (1–2 Years, Special Project).We are seeking a detail-oriented.Customer Analytics and Digital Products team on a high-impact, special project.In this role, you will analyze large-scale utility datasets, evaluate customer-facing digital prod

Our client seeks a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. Foster a culture of innovation, experimentation, and collaboration while mentoring an elite team of data scientists. Partner with product, engineering, data, and compliance team

We're hiring a Remote Data Scientist for a fast-growing, well-funded fintech company. This is a hands-on, non-client-facing seat on a small data team - you'll apply Python, SQL, and applied statistics/ML to real product and risk questions, working closely with engineers and analysts, and presenting

We are seeking a Data Scientist, Associate to build RoboStrategy’s data capability from the ground up. Bring together shareholder records, 13F filings, DTC position reports and allocator databases into a single view connected to our CRM, and use it to score, segment and prioritize investors, handl

Position: Data Scientist | AI & ML Analyst. Data Scientist | AI & Machine Learning. Data Scientist | AI & Machine Learning.

We are seeking an experienced AI Data Scientist to join Deltek’s growing AI Center of Excellence team to design, build, evaluate, and optimize enterprise AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), multimodal AI, Opensource AI Models, and

Data Scientists and Quantitative Professionals. Assess data analysis, experimentation approaches, and data modeling techniques. Create challenging prompts, datasets, and reference solutions.

This role will work across both Data Science and Data Engineering, with a focus on analyzing operational data, developing performance benchmarks, maintaining dashboards, and troubleshooting vendor-facing data challenges. Data Science, Data Analytics, Analytics Engineering, Data Engineering, or a rel

We're looking for a Junior Data Scientist to join a growing analytics team focused on building data-driven solutions and improving business performance through modern technologies. Collaborate with technical and non-technical teams to translate business needs into data solutions. Exposure to cloud t

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. Position Summary Sapio Sciences is looking for a Director of Field Marketing to own our global events strategy across the UK, Europe, and North America. This is a high-impact, hands-on role for someone who thrives at the intersection of strategy and execution — from selecting the right tradeshows and industry conferences to designing the booth, managing the budget, and turning attendee lists into pipeline. You'll run webinar programs end-to-end, partner closely with Product Marketing, Commercial Partnerships, and Sales to ensure every event drives measurable ROI, and build the team and processes needed to scale field marketing as we grow. Essential Responsibilities • Own the end-to-end events calendar across UK, Europe, and North America, including tradeshows, industry conferences, webinars, and field/regional events from selection through post-event reporting, • Communicate field marketing strategy, planned programs, and expected outcomes to the broader team on a regular cadence, • Manage all event logistics: booth design and build, shipping, staffing, vendor contracts, lead capture setup, and on-site execution, • Plan and run webinar programs, including topic selection, speaker coordination, promotion, and post-event follow-up sequencing with Marketing, • Build and manage event budgets; negotiate with venues, booth vendors, and sponsors to maximize ROI, • Partner with Product Marketing to ensure event messaging, collateral, and demos reflect current positioning and active launches, • Partner with the Director of Commercial Partnerships to align event objectives with partner marketing strategies and co-marketing initiatives, • Coordinate with Sales on target account lists and pre-event outreach so tradeshow attendance converts to pipeline, • Manage relationships with industry associations and conference organizers (e.g. SLAS, Bio-IT World, and similar life sciences and informatics events), • Track and report on event performance, leads generated, pipeline influenced, cost per lead, ROI and post event reports to apply findings that shape the forward calendar, • Manage and develop event coordinators, contractors, and agency partners supporting field programs, • Train booth staff on event etiquette, lead capture best practices, and on-site messaging consistency, • Travel on-site to run events in person across all regions as needed; estimated at 20% of time Required Education & Experience • 5+ years in B2B field marketing or event marketing, • Proven track record running tradeshow programs end-to-end, including budget ownership, vendor negotiation and ARR contribution, • Experience running webinar and virtual event programs on with such tools as Go To Webinar, Zoom, etc, • Comfortable working across UK, EMEA and US time zones and travel logistics, • Very strong project management skills using tools like Asana, Trello, where you can run multiple events in parallel without dropping details, • Experience working with CRM/marketing automation platforms (HubSpot preferred) for lead capture, tracking, and reporting, • Clear, direct communicator who can work cross-functionally with Sales, Product Marketing, and executive stakeholders, • Strong preference to candidates with SAAS (software as a service) experience, • Nice to have: Existing familiarity with life sciences, laboratory informatics, LIMS, or regulated lab markets Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. 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.

Our On-Demand Talent Solutions team is excited to announce an opportunity for a Senior Clinical Development Scientist to join our medical device client, whose primary focus is innovating artificial fibrillation and developing next generation cardiac ablation systems. Summary: This individual will play a key role in shaping clinical strategy, designing and executing global clinical studies, analyzing clinical data, and partnering cross-functionally with R&D, Regulatory Affairs, Clinical Operations, Marketing, and Key Opinion Leaders to advance the company's next generation of products. Responsibilities: • Lead the design, initiation, execution, and oversight of pre-market and post-market clinical trials, including pivotal studies for next-generation cardiac ablation technologies., • Develop and execute clinical strategy, clinical development plans, and EU MDR clinical evaluations supporting cardiac ablation catheters and PFA generators., • Oversee clinical data analysis to generate robust scientific evidence and meaningful clinical insights while supporting health economics and outcomes research initiatives., • Serve as the internal scientific expert in cardiac electrophysiology, atrial fibrillation, and cardiac ablation technologies, providing clinical input into product development documentation, IFUs, and technical materials., • Partner with Key Opinion Leaders (KOLs), clinical investigators, and physician advisors while representing the company at scientific conferences, advisory boards, and industry meetings., • Drive publication strategy, scientific communications, physician education, and product adoption through the interpretation and communication of clinical data. Qualifications: • MS, PhD, MD, or equivalent in Life Sciences, Medicine, Biomedical Engineering, or related field., • 3+ years of Clinical Development experience within medical devices., • Experience with Class III cardiovascular., • Cross-functional experience partnering with R&D and Regulatory Affairs., • Experience with clinical data analysis tools (MATLAB, Python, SAS, Minitab).

You’ll join our Data team, report to our Head of Data, and help shape how data science is used across the company. Skool is hiring its first ever Data Scientist. Own data science work across growth, product, and user engagement, from analysis through measured results.

Strong practical data science skills, including working with messy enterprise data and translating business problems into actionable analysis. Working experience on at least one major cloud (AWS, Azure, or GCP) and with a modern data platform such as Snowflake, Databricks, Big Query, Redshift, Spark

Job SpecificationsBachelor’s degree in quantitative field is required, Master’s or PhD is preferred8 years of professional experience or equivalent relevant work experience preferredCore Data Science Capabilities: Deep expertise in each of the following categories of skillsets is preferredProgra

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory

Leadership in data science: experience leading cross-functional teams of data scientists, data engineers, and data or cost analysts, and defining a data strategy aligned to organizational goals. Knowledge and experience performing cost estimating and analysis on major defense systems, including typi

Working closely with Marketing, Product, Finance, and Technology, the Senior Data Scientist transforms complex data into actionable insights that improve business performance in a highly competitive telecommunications environment. The Senior Data Scientist, Advanced Analytics, develops machine learn

Principal Data Scientist - Quantitative Intelligence. ML Scientist, Statistical Modeling, Predictive Modeling, Paneling, Normalization, Cohorting, Causal Inference, Synthetic Control, Uplift Modeling, Transaction Data, Behavioral Modeling, Forecasting, Representation Learning, Privacy Preserving ML,

Additional incentives data is based on payments made in the past six months and is updated quarterly. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Additional incentives data is based on payments made in the past six months and is updated quarterly. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.

Coordinate workstreams involving integrations, data conversion, reporting, training, and business readiness.