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Experience with data wrangling, evaluating data quality, transforming and cleaning data as appropriate for analysis. Complete required data preparation, including data input with guidance. Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling te

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.

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. At least 5 years of experience with applying modern statistical marketing models, Bayesian

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

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. You will collaborate closely with data analysts, accou

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

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

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

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 seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcome

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

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.

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.

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!

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

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

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

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. Interest in AI-enab

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

Field targeting-related data requests from PC and RevOps through the data team's PC request process. Data Engineering and Company engineering build and own pipelines, APIs, serving infrastructure, and every data share with PC. You lead the data science side end to end: requirements, feature definiti

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

Description Remote Our client seeks a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. The role will collaborate with ML engineers and product partners to design and deploy real-time models and intelligent decision engines, drive strategy and roadmaps, lead cross-functional initiatives, and mentor senior data science talent. The position balances strategic leadership with hands-on contribution across architecture, design reviews, code reviews, and select implementation to deliver production-grade ML solutions. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $85.00 to $95.00/hr. w2 Responsibilities • Define technical vision and strategy for data-driven product initiatives focused on payment optimization, aligned to business goals., • Develop scalable and reusable capabilities for real-time ML models including classification, ranking, optimization, rapid experimentation, and continuous monitoring., • Oversee and contribute to conceptualization, development, deployment, operation, validation, and maintenance of ML models and update systems., • Establish and enforce best practices for ML modeling while evaluating and adopting modern tools, frameworks, and infrastructure., • Foster a culture of innovation, experimentation, and collaboration while mentoring an elite team of data scientists., • Partner with product, engineering, data, and compliance teams to integrate ML into products and communicate complex concepts to varied audiences., • Collaborate with Data Science leaders to establish an operating model for ML R&D that optimizes end-to-end delivery of business value. Experience Requirements • Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field. PhD preferred., • 7+ years in ML research or engineering with 5+ years building large-scale, real-time ML systems in production, including hands-on experience., • Expertise in machine learning, statistical modeling, and data analysis with strong experience across the ML lifecycle and experimentation., • Proficiency in Python (Pandas, NumPy, scikit-learn) and strong SQL experience. NoSQL or graph databases are a plus., • Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions., • Exceptional communication skills with the ability to influence and collaborate across technical and business audiences, including executives., • Bonus: Experience in payments, fintech, or financial services. Knowledge of payment systems such as authorization lifecycle, tokenization, fraud and risk, and real-time payments. Experience with cloud platforms including AWS, GCP, Snowflake, Databricks, or Vertex AI. Agile development experience. Background in large companies, mature ML teams, or regulated industries. Education Requirements • Bachelor’s or master’s degree in a relevant field. PhD preferred.

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

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 a Data Scientist, Associate to build RoboStrategy’s data capability from the ground up. Join the team at RoboStrategy as Data Scientist, Associate. Bring together shareholder records, 13F filings, DTC position reports and allocator databases into a single view connected to our CRM,

Data Scientist (Live Anywhere). Perform Exploratory Data Analysis (EDA). Proven track record of deploying models and data pipelines in cloud environments, preferably on GCP or other cloud platforms.

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. Lead end-to-end development of data science projects, includ

Title: Data Scientist Location: Remote US Duration:12 months Compensation: $55-75/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. No sponsorship available ABOUT THIS FEATURED OPPORTUNITY We are seeking a proactive, technically strong Data Scientist to support a Scaled Operations organization focused on global vendor operations, including content moderation, workforce planning, and operational performance. 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. A key area of focus will be processes surrounding Average Handling Time (AHT); analyzing how long specific vendor tasks should take, working with the underlying data and dashboards, partnering with vendor stakeholders, and establishing and publishing updated benchmarks. THE OPPORTUNITY FOR YOU In this role, you will: • Analyze operational datasets to identify trends, performance gaps, anomalies, and opportunities for improvement., • Support measurement and benchmarking initiatives, including AHT and task-level performance benchmarks., • Build, maintain, and analyze dashboards used to monitor vendor and operational performance., • Partner with vendor managers and cross-functional stakeholders to translate operational questions into data-driven insights and recommendations., • Establish, validate, and publish new operational benchmarks., • Troubleshoot vendor-facing data challenges, including missing or inconsistent data, system discrepancies, permissions/access issues, and potential bugs., • Support data engineering needs related to vendor data and operational reporting., • Proactively identify additional issues, risks, and opportunities and independently drive work toward resolution., • Leverage AI-enabled tools where appropriate while maintaining strong analytical judgment and understanding of the underlying data. KEY SUCCESS FACTORS • 3-5+ years of relevant industry experience in Data Science, Data Analytics, Analytics Engineering, Data Engineering, or a related field., • Strong SQL and data analysis skills, including independently querying, manipulating, validating, and troubleshooting complex datasets., • Dashboarding and operational measurement experience, including analyzing performance metrics and developing data-driven benchmarks., • Working knowledge of data engineering concepts, with the ability to investigate missing or inconsistent data, permissions/access challenges, discrepancies, and potential bugs., • Highly proactive, curious, and independent problem solver who can take an ambiguous request, determine what needs to be investigated, uncover additional problems or opportunities, and drive work forward with limited direction. NICE TO HAVES • Experience supporting scaled operations, vendor operations, workforce planning, content moderation, or other large-scale operational environments., • Experience partnering directly with vendor managers or external-facing operational teams., • Experience working in an environment where Data Science, Analytics, and Data Engineering responsibilities overlap., • Experience using AI-enabled tools to improve analytical workflows while maintaining independent reasoning and validation., • Experience within a large, complex technology or product organization. About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about . INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact for assistance. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

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. Strong practical data science skills, including working with messy enterpr

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.

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