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What we are looking for Verasight is building the future of survey research with unparalleled data quality and a re-imagined respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect national policy, academic research, the direction of Fortune 500 companies, and important public conversations. We are looking for a Data Scientist to help us expand our capacity to field high quality surveys for our clients. This role will apply and expand Verasight’s code base to execute rigorous and replicable data collection, analysis, quality control, and reporting methods. We are a scrappy team and you will have an opportunity to help expand access to high quality survey data. We depend on colleagues who are diverse, team oriented, novel thinkers, and passionate about redefining the data landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc How to Apply Does this position sound like a good fit? 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) Responsibilities • 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 preparing client deliverables, • Manage multiple simultaneous projects throughout all stages of the project life cycle, identifying potential roadblocks early and proactively proposing solutions, • Contribute, in collaboration with the Verasight team, innovative methods of automation and expand the data science team “toolbox” to suit a wide variety of data needs, • Conduct internal experimentation and research to hone Verasight’s approach to survey research, • Bring a creative and solutions-oriented mindset Required Qualifications • Experience coding in R, including writing custom functions, package development, REST API integration, and writing reusable and well documented code, • Enthusiasm for bringing AI tools (such as Claude Code) to survey research, • Knowledge of quantitative survey research methodologies, statistical concepts, and the ability to apply them to solve novel problems, • Innovative, independent mindset and a willingness to learn new technical and statistical skills when needed to tackle emerging challenges, • Strong communication skills to suit a highly-collaborative fast-paced remote work environment, • Experience managing multiple ongoing projects with competing deadlines, • Commitment to working in an inclusive environment Preferred Qualifications • Experience with commonly used survey software platforms, such as Qualtrics, • Familiarity with GitHub for collaborative code development, • Practical experience using voter file data (e.g., L2, Catalist, TargetSmart), • Knowledge of survey weighting practices, including population benchmark data (e.g., Census) and poststratification techniques (e.g., raking), • Experience writing SQL, • Familiarity with JavaScript, • 2+ years of survey or social science research experience Benefits • Competitive salary based on experience, • Health insurance, • 401k with company matching, • Opportunity to travel to represent Verasight at conferences, • 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.

Job Type: Flexible Contract (Remote) Cobalt is hiring experienced biologists to review and build tasks that test whether frontier AI models can reason through real experimental science. Your job is to judge whether a model’s reasoning about an experiment is correct, and to explain precisely where it goes wrong when it is not. We are especially looking for scientists with hands-on flow cytometry experience. If you are the person in your lab who spots the flawed control, the mislabeled gate, or the conclusion the data does not support, this role is built around that skill. What you will do • Review AI-generated answers to experimental biology problems end to end, including the experimental design, the methods, the data interpretation, and the final conclusion, and confirm that each step is scientifically sound and consistent with the others., • Write realistic problems from your own area of expertise, along with reference solutions that show the reasoning a skilled scientist would follow, not only the final answer., • Look for ways a model could reach a correct-looking answer without sound reasoning, such as relying on a textbook pattern that does not fit the data, ignoring a missing control, or overlooking an artifact, and document each issue clearly., • Judge whether a model’s failure reflects a real gap in scientific reasoning, or instead reflects an ambiguous question, missing information, or an unfair reference answer., • Write clear, specific feedback and work with task authors through revisions until each task meets the acceptance standard., • Join occasional expert calls of 30 to 60 minutes with research teams who want to understand how experts approach a specific problem. Example tasks you might review include designing a multicolor flow cytometry panel for a given set of markers and instrument, critiquing a gating strategy and identifying where a population was misassigned, explaining why compensation errors produced a false double-positive population, and judging whether a reported difference between treatment groups is supported by the data. Who we are looking for • PhD in biology, immunology, cell biology, biochemistry, or a closely related life sciences field., • Hands-on laboratory experience, gained through research, a thesis, a postdoctoral position, a core facility, or industry work. You should be comfortable reading an experimental protocol and saying whether it would work., • Strong working knowledge of experimental design, including controls, replicates, and when a difference between two results is meaningful., • Careful, direct written communication. Much of the job is explaining precisely what is wrong and why., • No prior experience with AI is required. Strong advantages • Hands-on flow cytometry experience, including panel design, compensation, gating, and data analysis, using instruments such as the BD FACSymphony or Cytek Aurora and software such as FlowJo, FCS Express, or OMIQ., • Experience with spectral or mass cytometry, or with clinical flow cytometry such as leukemia and lymphoma immunophenotyping., • Experience managing or working in a core facility, training other scientists, or serving as a peer reviewer for a journal. Why Cobalt AI • Shape how AI understands science. Your judgment directly determines which tasks are used to measure what leading models can and cannot do in biology., • Use your expertise in a new way. You will see up close how frontier models reason about experiments and where they break., • Fit the work around your current role. Set your own schedule, with flexible weeks that can scale up or down around your research and other commitments., • Grow with us. Strong reviewers can move into task design, project leadership, and research collaborations on future projects.

Senior Data Scientist Experience: 4+ years of applied data science delivery USA - Remote About the Role You will work as a forward deployed data scientist: embedded with enterprise clients, turning ambiguous business problems into working analytical and AI solutions, and staying with the work until it runs in their environment. This is a hands-on senior role. You will own problems end to end — scoping with stakeholders, wrangling messy client data, choosing methods that fit the constraints, building the solution, and handing it off in a state another team can operate. Some engagements need something built from scratch. Many do not — the work is adopting, configuring and extending what already exists: our own products and accelerators, the client’s current platform, or a vendor tool. We are looking for people who are comfortable either way, who can tell which situation they are in, and who would rather extend a working solution than rebuild it. We are looking for modern technical builders rather than notebook-only analysts: fluent with Python, SQL, Git, cloud and cloud data platforms, AI-native in how they work, credible in front of a client, and pragmatic about when a simple method is enough and when deeper modelling is warranted. Responsibilities • Partner directly with client stakeholders to translate business problems into analytical problems — and push back when the framing is wrong., • Build reliable analytical assets on messy enterprise data: forecasting, optimization, ML, statistical models, and the pipelines around them., • Just as often, work with what is already there — configure and extend our existing products and accelerators, or the client’s existing tools, rather than rebuilding from scratch., • Put something in a stakeholder’s hands early — a prototype app, a dashboard, a clear analysis — and iterate from real feedback., • Ship code others can reuse tested, documented, reproducible, reviewed., • Work alongside data engineers and ML engineers through to deployment, rather than throwing work over the wall., • Use LLMs and AI coding tools to move faster, while keeping statistical judgment and final review your own., • Raise the level of the people around you: review work and mentor less experienced colleagues. Qualifications Data Science • Strong practical data science skills, including working with messy enterprise data and translating business problems into actionable analysis., • Working knowledge of forecasting, optimization, machine learning, and statistical methods — with the judgment to know when a simple method is sufficient, and the discipline to validate honestly (proper back testing and out-of-time validation for time series, not just a random train/test split)., • Able to answer, “did this actually work?” with defensible evidence: experiment design and read-out, or quasi-experimental methods when a clean test is not possible., • Regular user of LLMs or AI coding tools for coding, analysis, debugging, testing, and documentation, while maintaining independent judgment. You should be able to explain what AI output you accepted, rejected, rewrote, and tested, and how you spot output that is plausible but wrong., • Basic understanding of production data/ML concepts, including pipelines, data quality, reproducibility, versioning, deployment, and monitoring. Required Skills • Strong proficiency in Python and SQL, at a level where your code goes to other people rather than only into your own notebook., • Comfortable with Git, pull requests, code review, terminal workflows, package management, and reproducible environments., • 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, or equivalent., • Able to turn exploratory analysis into reusable, tested, and documented code., • Comfortable working inside an existing codebase or product as well as starting from a blank page — reading someone else’s code, understanding how it works, and extending it without breaking it., • Able to independently troubleshoot common data, query, environment, and pipeline issues — failed jobs, broken queries, bad joins, package conflicts, data-quality problems — without immediately requiring an engineer. Preferred Skills Delivery and client work • Able to take an ambiguous request from a business stakeholder and turn it into a scoped piece of work, with a view on what is feasible in the time available., • Able to clearly communicate assumptions, limitations, findings, and recommendations to both technical and business stakeholders — in writing and in the room., • Able to make results usable: a lightweight app or dashboard (for example Streamlit, Dash, Plotly, or a BI tool) or a clean, well-argued document, depending on what the audience needs., • Comfortable working in someone else’s environment and under their constraints — client tooling, access restrictions, and shifting priorities — without stalling., • Strong engineering practices, experience with advanced LLM workflows, and experience delivering in enterprise environments are an asset.

The projects that a Senior Environmental Scientist works on will include low to high complexity, multi-media, multi-contaminant remediations. The Senior Environmental Scientist is responsible for planning and implementing field activities, evaluating laboratory data and measurements collected during

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, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

Shift: Monday - Friday, 8:30 AM - 5 PM\n \n Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives. \n \n Scientist \n \n Compensation: $20.00 per hour \n \n Hours: Monday - Friday, 8:30 AM - 5 PM \n \n The salary range for this position reflects a variety of factors. Compensation will be determined based on the candidate’s geographic location, relevant experience, education, skills, and alignment with internal equity. Market conditions, budgetary considerations, and organizational compensation guidelines may also influence the final offer. \n \n Make an Impact. Build a Career. \n \n At Pace®, everything we do is built upon an unwavering commitment to making the world a safer, healthier place. Since 1978, we’ve continued developing innovative practices that drive sustainability and empower our partners with accurate quality data at every critical moment and milestone. \n \n That's why we need you -- your curiosity, your talents, and your drive -- to help us advance this important work, and your career. \n \n We’re seeking curious, motivated individuals who are passionate about protecting our environment and the communities we serve. If you’re looking to develop your skills, contribute to meaningful scientific work, and build a long-term career in environmental science, Pace® could be the perfect place for you. \n \n Find Your Place at Pace® \n \n Join us as a Scientist and put your passion for science to work in our environmental testing laboratory. In this role, you’ll conduct hands-on analysis within our laboratories, helping ensure the integrity and quality of environmental data that impacts communities and ecosystems. \n \n What You’ll Do \n \n Work with instruments such as GC, HPLC, ICP and more \n Analyze air, water, and soil samples using established chemistry and biochemistry methods looking for environmental contaminants \n Review and interpret the results from the sample analysis \n Accurately document procedures, observations, and results to maintain high-quality, organized laboratory records \n Clean, maintain, and calibrate laboratory instruments and equipment \n \n What You’ll Bring \n \n Bachelor’s degree in Chemistry, Biochemistry, or other STEM related degrees — or an equivalent combination of education, training, and experience. We are happy to provide training! \n Ability to work effectively in a laboratory environment, including standing for extended periods, working around strong odors, and wearing required PPE (lab coat, safety glasses, gloves—all provided by Pace®) \n \n \n Find Your Place at Pace - We need you - your curiosity, your talents, and your drive - to help us advance this important work. \n \n Benefits \n When you join Pace®, you commit to work that makes a positive impact on our communities and our world. We commit to supporting you with benefits and perks that make a positive impact on your life. Full-time roles are eligible for our comprehensive benefits program which includes competitive salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the employer match), life, disability and voluntary benefits, paid time off for holiday, sick and vacation days, HSA, wellness program, flexible spending accounts, tuition reimbursement, Employee Assistance program, parental leave, optional legal coverage and ID theft. \n \n Equal Opportunity Employer \n Pace® provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, creed, color, religion, genetics, protected veteran status, national origin, sex, age, disability, marital status, sexual orientation, gender identity or expression, citizenship, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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.

The Senior Scientist, Biologics Analytical Development, supports the development of recombinant protein production processes and analytical strategies for biologic therapeutics. This role is responsible for analytical method development, product characterization, and analytical support for process development activities involving microbial and mammalian expression systems. The position contributes to the advancement of innovative therapies addressing unmet medical needs. Key Highlights: Analytical method development and optimization Protein and conjugate characterization using HPLC, CE, Mass Spectrometry, and biophysical characterization techniques Support of upstream and downstream process development CRO/CMO oversight and technology transfer activities GMP manufacturing support and regulatory documentation contributions Essential Duties & Responsibilities Support extended characterization studies of recombinant proteins and protein conjugates using a variety of analytical techniques including LC-MS peptide mapping, U/HPLC, SEC, IEX, CE-SDS, iCIEF, GC/GC-MS, and biophysical techniques Process and review analytical data utilizing modern chromatographic and mass spectrometry CDS/MS software platforms Write and approve technical reports, SOPs, and method protocolsDevelop, optimize, and qualify analytical methods for biologic products. Characterize and quantify product and process related impuritiesSupport upstream and downstream process development programs. Manage analytical activities performed by CROs and support analytical transfers to CROs and CMOs. Review analytical data and reports supporting GMP manufacturing activities. Author and/or review CMC sections of regulatory submissions. Independently design, execute, and analyze laboratory experiments. Evaluate complex scientific data and apply sound technical judgment. Collaborate with cross-functional teams and external partners. Author and approve technical reports, protocols, and scientific documentation. Maintain compliance with applicable regulatory and quality requirements. Support resource planning, equipment identification, and organizational initiatives. Lead projects, mentor team members, and provide training as needed. Skills: Minimum 5 years of experience within the biotechnology or pharmaceutical industry, preferably in process development. Applicable postdoctoral experience may be considered toward the experience requirement. Demonstrated technical expertise, scientific creativity, and independent thinking. Strong problem-solving, organizational, and analytical abilities. Excellent written and verbal communication skills. Ability to effectively communicate scientific concepts to both technical and non-technical audiences. Strong interpersonal and collaboration skills. Proficiency with Microsoft Word, Excel, and PowerPoint. Ability to work effectively in a fast-paced, team-oriented environment. Preferred Qualifications Experience working in an FDA-regulated environment. Knowledge of current GMP requirements and laboratory practices. Experience contributing to regulatory submissions. Prior leadership or management experience. Education: PhD in a scientific or engineering discipline required. Equivalent experience may be considered. Exceptional candidates without a PhD may be considered based on demonstrated capabilities and significant relevant experience.

Position: Data Scientist | AI & ML Analyst Location: Des Moines, IA -- Hybrid Salary:$80,000 - $100,000 base annual salary with exceptional benefits * For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. * Data Scientist | AI & Machine Learning Help Shape the Future of AI, Machine Learning & Predictive Analytics Are you passionate about using data, machine learning, and advanced analytics to solve real-world business challenges? We're partnering with a successful, established technology consulting organization seeking a Data Scientist | AI & Machine Learning professional to help expand its growing analytics and AI capabilities. This is an opportunity to make a visible impact, influence technical direction, and work on meaningful projects from concept to production. What You'll Do • Develop and enhance machine learning and predictive analytics models, • Improve anomaly detection and forecasting capabilities, • Analyze complex data using Python and SQL, • Evaluate model performance and recommend improvements, • Partner with analysts and stakeholders to solve business problems, • Help shape AI/ML methodologies, tools, and best practices What We're Looking For • Experience in Data Science, Machine Learning, Predictive Analytics, or Advanced Analytics, • Strong Python skills, including libraries such as Pandas, NumPy, and Scikit-Learn, • Strong SQL and data analysis capabilities, • Experience with statistical modeling, forecasting, anomaly detection, or predictive analytics, • Ability to communicate insights to both technical and non-technical audiences, • Self-directed, collaborative, and intellectually curious Why This Opportunity Stands Out • Help build and influence a growing AI/ML practice, • Work directly with leadership and key decision-makers, • Make an end-to-end impact on projects and outcomes, • Join a successful, stable organization with exceptional employee tenure, • Collaborative, family-oriented culture where people genuinely enjoy working together, • Entrepreneurial environment that rewards initiative and fresh ideas, • Hybrid work environment after onboarding, • Competitive compensation up to $100,000 Who Thrives Here? The most successful individuals in this environment are hungry, humble, smart, and self-motivated. They enjoy wearing multiple hats, solving difficult problems, collaborating with others, and seeing the direct impact of their work. If you're looking for an opportunity where your ideas matter, your contributions are visible, and your work can help shape the future of AI and analytics, we'd love to connect. * For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. *

Data Analyst / Data Scientist (Utility Analytics). Customer Analytics and Digital Products team on a high-impact, special project. Bachelor’s degree in Data Science, Analytics, Computer Science, Statistics, or a related field.

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. About the Role This is not a traditional inward-facing product manager role. This is an externally oriented, product marketing-biased position at the intersection of product strategy, customer engagement, and commercial execution. The right candidate will be as comfortable in front of a prospective customer or at an industry conference as they are working through a product roadmap with internal stakeholders. As Senior Product Manager, you will be the outward voice of the Sapio platform. You will own the narrative around how our products solve real scientific and operational challenges, translating deep domain knowledge of ELN, LIMS, and CMC workflows into compelling demonstrations, positioning, and messaging that resonates with buyers, users, and partners. You will report directly into our VP of Product, and work in close collaboration with the executive leadership team, including our CEO. You will operate as a senior and trusted voice, capable of engaging confidently at the executive level — both internally and with our most strategic customers. Working Location This is a remote-first role. We are open to candidates based in the US (East Coast preferred) or the UK. There is an expectation to travel periodically — to meet with the leadership team, to join key customer engagements, and to represent Sapio at industry events. Our teams are spread across the US and the UK, with offices in York, PA, Fort Lauderdale, and London. Essential Responsibilities • Own the outward-facing product narrative — developing positioning, messaging frameworks, and demo strategies that clearly articulate the value of Sapio’s platform across ELN, LIMS, and CMC workflows., • Lead and deliver high-impact solution presentations to prospective customers, partners, and at industry events, tailoring content to audience — from bench scientists to C-suite executives., • Act as a strategic bridge between development, marketing, and sales — ensuring go-to-market activity is grounded in product reality and customer insight., • Develop deep domain expertise across CMC (Chemistry, Manufacturing and Controls), with a strong understanding of biologics and the broader life sciences landscape, to credibly engage with scientific and regulatory stakeholders., • Partner closely with the Head of Product and executive leadership team to align external messaging with product direction and company strategy., • Represent the voice of the customer internally — synthesising feedback from demos, customer conversations, and market signals into actionable product and positioning insights., • Collaborate with sales on RFP responses, proof-of-concept engagements, and strategic account support where product expertise and demonstration capability are required., • Lead product marketing efforts, partnering with the marketing team on content development, conference presentations, webinars, and customer advisory board preparation., • Engage regularly with the executive leadership team and CEO, providing clear, confident, and commercially aware perspectives on market positioning and customer feedback. Required Skills & Experience • Proven experience in a product management or product marketing role within a life sciences software company, with a clear external and customer-facing orientation., • Deep knowledge of ELN and LIMS products — you must be able to speak credibly about these platforms with scientists, lab managers, and IT stakeholders., • Solid understanding of CMC processes, with experience in or exposure to biologics and the biotech/pharma development pipeline strongly preferred., • A strong product marketing mindset — you understand how to translate complex functionality into compelling value propositions and customer stories., • Demonstrated experience managing and influencing senior stakeholders, including executive leaders. You are comfortable in the room with a CEO and bring presence, preparation, and commercial acumen., • Track record of delivering high-quality product demonstrations that move deals forward and build customer confidence., • Experience operating across scale-up and/or corporate environments — you can navigate both the pace of a growing company and the complexity of large enterprise accounts., • Excellent communication and presentation skills — written, verbal, and visual. You can simplify the complex and make it land., • Strong commercial awareness and ability to align product activity to business outcomes. Required Skills & Abilities • Customer-first mindset — naturally curious about how scientists and laboratory professionals work, and motivated by solving their real problems., • Confident and credible communicator at all levels, from bench scientists to C-suite; equally effective in one-to-one conversations and large group settings., • Able to manage competing priorities across product, sales, and marketing workstreams without losing quality or focus., • Self-starter who thrives in environments with autonomy — you set your own pace and hold yourself to a high standard., • Collaborative and inclusive in how you work with colleagues across geographies and functions., • Adaptable and comfortable with ambiguity — you can operate effectively as strategy evolves., • High integrity and accountability; you follow through on commitments and are transparent about progress and challenges., • Strong attention to detail in customer-facing materials and communications. Preferred Experience • Background in biologics, CDMOs, or pharmaceutical development organisations, with hands-on familiarity with how CMC data is generated, managed, and reviewed., • Experience in a dual product management / product marketing function, or close collaboration between the two., • Familiarity with the regulatory and quality context in which ELN and LIMS platforms operate (e.g. 21 CFR Part 11, GxP environments)., • Prior experience in a scale-up or Series B/C-stage software business, where you have built processes and collateral from the ground up., • Exposure to scientific data management platforms, informatics, or adjacent software categories., • Experience presenting at industry conferences, user groups, or customer advisory boards. What We Offer At Sapio Sciences, we recognise that our people are our greatest strength. That’s why we’re proud to offer: • A competitive salary and benefits package, • Flexibility to work remotely, with opportunities to travel, • A comprehensive onboarding and training programme, • Ongoing opportunities for professional growth and development, • A collaborative, inclusive and supportive work environment 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.

Skool is hiring its first ever Data Scientist. You’ll join our Data team, report to our Head of Data, and help shape how data science is used across the company. This is a hands-on role for someone who wants to grow a consumer product by building new ways for users to discover the right communities and people, including feed, search, recommendations, and matchmaking, and by testing what drives engagement and growth. One of our biggest areas of focus is helping users find the right communities and people on Skool. You’ll help us build and improve that experience through recommendations, ranking, and personalization, while also partnering closely with Product, Growth, and Engineering on engagement, activation, retention, and advertising. We’re looking for someone who can dig into ambiguous problems, find the real opportunity, and turn analysis into action. This is a 100% remote position. Skool has an office in Los Angeles, but we work as a distributed team. What you’ll do • Build models and algorithms for feed, recommendation, ranking, and search to help users discover relevant communities and people, • Own data science work across growth, product, and user engagement, from analysis through measured results, • Use real-time data to find opportunities, test ideas quickly, and refine models based on outcomes, • Develop predictive models for activation, retention, and other key funnels, • Design and run experiments, analyze results, and turn findings into clear product and business decisions, • Partner with Growth to test and improve advertising, including measuring its impact on acquisition and engagement What we’re looking for • You have deep data science experience and a track record of using analysis, experiments, and models to grow a consumer product, • You have hands-on experience building recommendation, matchmaking, ranking, search, or personalization systems, • You have a strong foundation in machine learning and statistical modeling using tools such as Python and scikit-learn, • You favor quick action and experimentation over long analysis and can build enough conviction in your work to bet on it, • You are comfortable managing real budget, being wrong, learning quickly, and making the next bet, • You can own ambiguous problems, decide what matters, and move without waiting for permission, • You are strong at data analysis and tool-agnostic. You care about accurate results and business impact more than a specific stack, • You can write enough production-quality code to implement or partner closely on real-time solutions when offline analysis isn’t enough, • Bonus: You have hands-on experience optimizing advertising, acquisition, or other performance marketing systems Why join Skool? • Over 30M users, 150K communities, $1B in creator revenue + already profitable (!), • Fast-growing, mission-driven company with a focus on education and community, • We’re a small, collaborative team that likes to have fun while prioritizing balance, • Remote-first, industry-leading compensation, fully covered medical, dental, and vision insurance (including dependents), 401(k) matching, and more!

Drug Discovery Scientist Position: Drug Discovery Scientist Type: Hourly Contract Compensation: $60–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Drug Discovery Scientists to contribute to an advanced AI research and evaluation project focused on pharmaceutical research and development. You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through incomplete, indirect, and potentially misleading scientific evidence. You'll create research prompts, build supporting data rooms using real source-grounded information, develop rigorous grading frameworks, and validate the resulting tasks. The role is ideal for experts who can distinguish genuine scientific reasoning from pattern matching and confidently evaluate the quality of complex research conclusions. Responsibilities • Design challenging, realistic drug discovery research problems based on authentic scientific workflows., • Develop research scenarios where the correct conclusion must be derived from multiple pieces of evidence rather than directly stated., • Build comprehensive data rooms using real, source-grounded scientific data and documentation., • Ensure every decisive scientific value and piece of evidence can be traced back to a reliable source., • Create detailed grading documents and evaluation rubrics that assess scientific reasoning and substantive conclusions., • Evaluate AI-generated research outputs for scientific accuracy, logical consistency, and defensibility., • Run verification and calibration processes to ensure tasks are reproducible, appropriately difficult, and objectively scorable., • Identify weaknesses in task design, evidence, or evaluation criteria and revise them accordingly., • Provide expert judgment on scientific questions, task difficulty, and the quality of AI reasoning., • Collaborate with project reviewers and other domain experts to refine research tasks. Required Qualifications • Professional expertise in one or more of the following areas:, • Mechanistic enzymology, • Structure-guided peptide design, • Structure-guided antibody design, • Fragment-based drug discovery, • Structure-based medicinal chemistry, • PhD or equivalent industry experience in drug discovery, medicinal chemistry, chemical biology, biochemistry, or a closely related field., • Strong understanding of drug discovery research methodologies and scientific evidence evaluation., • Ability to construct complex scientific problems with defensible conclusions., • Strong analytical and critical-thinking skills., • Ability to evaluate scientific reasoning quality, not simply final answers., • Strong scientific writing and documentation skills., • Comfortable working independently in a remote research environment., • Ability to commit at least 20 hours per week. Preferred Qualifications • Experience designing or evaluating drug discovery research strategies., • Strong background in structure-based drug design, protein–ligand interactions, enzymology, or molecular discovery., • Experience working with scientific literature, experimental datasets, structural data, and research documentation., • Experience developing research assessments, scientific benchmarks, or evaluation frameworks., • Familiarity with open-source scientific tooling and computational research workflows., • Experience evaluating AI-generated scientific research or technical outputs is a plus., • Strong ability to distinguish defensible scientific conclusions from unsupported assumptions or superficial reasoning. Compensation • Competitive compensation of $60–$90/hour., • Hourly contract engagement., • Fully remote., • Minimum commitment: 20 hours/week., • Up to 40 hours/week available., • Claude Max subscription required for the project and fully reimbursed., • Work conducted through a browser-based research studio and Claude Code. Application Process • Apply to the role, • Complete the required screening questions, • Provide details about your drug discovery and scientific research experience, • Complete the relevant scientific assessment, • Participate in the evaluation/interview stage, • Complete onboarding and tooling setup, • Begin designing and evaluating drug discovery research tasks

Founding AI Scientist - Pathology Foundation Models Remote (Must be US Based) The Role You will lead the strategy and development of pathology foundation models, shaping how they are designed, trained, evaluated, and deployed into clinical and pharmaceutical applications. This is a highly cross-functional role spanning research and production. You will define how foundation models integrate with biological context, multimodal data, and downstream decision-making systems moving beyond isolated model improvements to building end-to-end, real-world solutions. As an early-stage hire, you will play a key role in shaping both the technical direction and the organisation itself. Required Experience • Strong publication record in machine learning, including multiple first-author papers at leading conferences or journals, • Deep understanding of modern ML architectures (e.g. transformers, attention mechanisms, state-space models, mixture-of-experts), • Experience working with GPU clusters and large-scale ML infrastructure (e.g. Kubernetes, SLURM, or similar), • Solid software engineering skills and ability to build production-grade systems, • Excellent communication skills, with the ability to convey complex ideas to both technical and scientific audiences Preferred Background • Experience in oncology, cancer biology, or drug development, • Exposure to biomedical or healthcare foundation models, • Experience with multimodal and cross-modal learning systems, • Familiarity with healthcare regulatory frameworks (e.g. FDA, HIPAA), • Contributions to open-source ML ecosystems, • Experience working with distributed or community-driven research groups, • Previous experience in a startup or early-stage environment To apply please reach out to Sam Shinner at Discover International

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.

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. The role will collaborate with ML engineers and product part

Assess data analysis, experimentation approaches, and data modeling techniques. Data Scientists and Quantitative Professionals. Python, statistics, machine learning, and data analysis.

Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering. Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team. Relevant certifications in machine learning, statistical ana

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

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

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

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 hours. We are seeking a Data Scientist to develop and evaluate AI solutions for legal content work

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

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. This role is ideal for someone who enjoys working with data, automation, and emerging AI tools in a collaborative, fast

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

Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards. Lead end-to-end analysis of large, complex, multi-source datasets to surface patterns driving model inputs. Core Data Science & Mathematics.

Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data). 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. You’ll guide the work of several data scientists, w

We are actively recruiting for a Senior Data Scientist for a Contract, remote position, for one of our customers based in the Bay Area. Answer their data science team's questions about Company's models, data, and business. It also frees the data scientist who built the system for other work, so the

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,

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties: Formulates

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

Rex Moore continues to be powered by amazing employees just like you for over 100 years.Together we are building a world that is safe, comfortable, and sustainable.Our diverse team of experts spreading to National territories create innovative, integrated solutions to make cities more connected, bui

Sabot Consulting is looking for a lead PM to head up an enterprise modernization program.This position will serve as the primary project management person responsible for coordinating multiple concurrent initiatives while providing strategic guidance, project governance, independent assessment, and

The position plays a critical role in ensuring accurate data flow, disciplined project tracking, and alignment with Global Supply Chain objectives to secure capacity required for increasing volumes. Maintain accurate records of supplier capacity status and validation outcomes, ensuring data integrit

Ability to analyze and interpret data to guide decision making.

Determine whether issues involve the user, data, permissions, configuration, application, integration, or another connected system.

A leading GC operating in the QSR sector are expanding their construction team and are seeking an experienced 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 to support their pipeline of fast-paced, high-quality commercial projects.Raising Cane's Chicken Fingers.This position is open to re

ETC) is a privately-held corporation specializing in the design and construction of healthcare, life sciences, commercial and manufacturing facilities.We have completed over 4 million square feet of hospital tenant improvements and seismic retrofitting over the past seventeen years with a seasoned t

Trailhead Recruiting is currently looking for a Project Manager (Commercial Construction) for our clients based locally in the greater San Diego area.This Project Manager will oversee and manage commercial construction projects in the San Diego area.The PM develops, coordinates, implements, and mana

Integrate data from multiple sources, including databases, APIs, and flat files. Familiarity with data integration techniques involving databases, APIs, and flat files. The selected candidate will partner with business stakeholders and technical teams to develop reporting solutions, build and mainta

Construction Assistant Project Manager.Highland is a mid-sized General Contractor located in San Diego—a contractor’s paradise.Our growing company is seeking talented individuals to join our team as Assistant Project Managers, Superintendents, and Project Engineers.The ideal candidates will have

Construction Project Manager - Northern Sacramento Valley.Salary $130,000–$160,000 DOE, plus medical, dental, vision, chiropractic, life and disability coverage after a 90-day probationary period, 401(k) eligibility after one year, 10 paid holidays, 40 hours of paid sick leave, and two weeks of ac