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Job Description Associate Scientist Greater MKE, WI We're hiring entry-level laboratory professionals for multiple opportunities with companies throughout the greater Milwaukee area. These positions support quality control, analytical chemistry, microbiology, and laboratory operations in food, pharmaceutical, biotechnology, and consumer product environments. Responsibilities may include sample preparation, laboratory testing, data collection, documentation, quality inspections, and supporting production and quality teams while receiving hands-on training from experienced scientists and laboratory professionals. Opportunities may include exposure to industry-leading laboratory instrumentation and techniques, including HPLC, GC, FTIR, dissolution, wet chemistry, pathogen testing, microbial plating, flow cytometry, particle size analysis, and other analytical testing methods. This is an excellent opportunity for recent graduates in Chemistry, Biology, Microbiology, Biochemistry, Food Science, or related scientific fields looking to launch a career in the laboratory sciences. Qualifications • Bachelor's degree in Chemistry, Biology, Microbiology, Biochemistry, Food Science, or related science field, • Laboratory experience through coursework, internships, research, or industry experience preferred, • Strong attention to detail and ability to accurately document results, • Interest in analytical chemistry, microbiology, or quality control, • Ability to work independently and in a team-oriented environment Job Type & Location This is a Contract to Hire position based out of Milwaukee, WI. Pay and Benefits The pay range for this position is $22.00 - $22.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Contract to Hire position based out of Milwaukee, WI. Application Deadline This position is anticipated to close on Nov 11, 2026. Workplace Type This is a fully onsite position in Milwaukee,WI. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job Description Stop Guessing What Employers Want — Start Delivering It! No Interviews or Offers? Get Hired with a Process! Most job seekers guess what employers want, but SynergisticIT shows you exactly what companies are hiring for right now. You'll work on the most in demand technologies, build real world projects, and receive interview preparation tailored to current industry expectations. Also you will get your profile directly to Fortune 500 clients ensuring your skills reach the right people. Whether you're a new graduate or someone returning after a gap,Synergisticit helps you align your abilities with employer needs. When you stop guessing and start delivering, getting hired becomes much easier. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves—because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here's the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become "AI experts” overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: • You have skills, but your resume doesn't show impact and your projects look generic, • You know tools, but you can't explain them confidently in interviews, • You've learned from courses, but you lack real-world structure and job alignment, • You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ You don't need more random applications. You need a job-ready plan. Start smarter—start with the right support. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

The Medical College of Wisconsin is pleased to announce a search for a full-time academic surgeon with a clinical appointment in the Department of Surgery and a joint faculty appointment in the Data Science Institute (DSI). Candidates from across general surgery and its surgical subspecialties are encouraged to apply. The candidate's clinical divisional home will be aligned with their training and area of surgical expertise. The ideal candidate will have a demonstrated commitment to academic surgery and an established or emerging research program at the intersection of surgery, healthcare, and data science. Areas of interest may include artificial intelligence and machine learning, clinical informatics, predictive analytics, large language models and generative AI, computer vision, multimodal data science, clinical decision support, implementation and evaluation of AI-enabled technologies, and other computational approaches to improving surgical care and outcomes. The successful candidate will be expected to develop an independent, collaborative research program that leverages the clinical and data resources of MCW and its health system partners. The position offers opportunities for interdisciplinary collaboration across the Department of Surgery, DSI, and the broader MCW research enterprise, with the goal of developing, evaluating, and translating data-driven approaches to improve surgical care. Applicants must have an MD or equivalent degree and be Board Certified/Board Eligible by the American Board of Surgery. Academic rank and compensation will be commensurate with qualifications and experience. The candidate's clinical practice will be based at Froedtert Hospital and across the expanding clinical enterprise of the Medical College of Wisconsin, with opportunities for practice at the Clement J. Zablocki VA Medical Center. Applicants should demonstrate a commitment to research and programmatic development, as evidenced by peer-reviewed publications, grant submissions or funding, development of data-driven clinical or research programs, and/or other relevant scholarly accomplishments. • Clinical Practice: The successful candidate will maintain an active surgical practice within the Department of Surgery, aligned with their clinical training and subspecialty expertise. Clinical activities will be based primarily at Froedtert Hospital and may extend across the Froedtert ThedaCare Health clinical enterprise and the Clement J. Zablocki VA Medical Center. Approximately 45% effort will be dedicated to clinical care., • Research and Data Science: The faculty member will hold a joint appointment in the MCW Data Science Institute and will have opportunities to collaborate across surgery, data science, informatics, engineering, and the broader clinical and research enterprise. Areas of emphasis may include artificial intelligence and machine learning, generative AI and large language models, multimodal data science, clinical informatics, predictive analytics, computer vision, human–AI interaction, and the implementation and evaluation of AI-enabled technologies in healthcare. Approximately 50% protected effort will be dedicated to developing an independent, externally funded research program at the intersection of surgery and data science., • Teaching: Your teaching focus will be in both the Department of Surgery and Data Science Institute. This will include participation in the teaching of medical students, surgical residents, fellows and other trainees while attending on the inpatient service at FMLH and during outpatient clinical activities. For the Data Science Institute, this will include graduate coursework, seminars, and mentorship of trainees., • Leadership and Program Development: The position provides an opportunity to contribute to the continued development of surgical data science and artificial intelligence at MCW. Depending on the candidate's expertise and career trajectory, opportunities may include leadership of collaborative research initiatives and development of programs focused on areas such as human–AI interaction, clinical AI evaluation, and translation of data science into surgical practice., • Administration/Service: You will be expected to participate, to the extent that you may be reasonably called upon, in administrative and/or service functions of the Department or hospital or on Department, Institute or MCW committees. Your practice assignments and the allocations of your efforts in the below areas may be changed from time to time by the Chair of the Department to meet the health care needs of the patients of MCW’s practice and to meet the missions of MCW for excellence in education, research, patient care and community service. • 45% Clinical Effort, • 5% Academic, • 50% Research The Department of Surgery is comprised of 11 divisions, including 9 clinical divisions, a Division of Education, and a Division of Research, including nearly 125 clinical faculty. Under the leadership of the Chair of Surgery, Douglas B. Evans, MD, the department is committed to clinical excellence, innovative surgical research, academic achievement/professional development, and surgical education. To learn more about our Department, please visit:. We are dedicated to the principles of equity and diversity and particularly encourage those of diverse backgrounds to apply. The successful candidate will join a broad community of surgeon-scientists and investigators across the Department of Surgery. The candidate's clinical divisional appointment and practice will be aligned with their surgical training and subspecialty expertise, while their research program will be supported through the Department's research infrastructure and a joint faculty appointment in the MCW Data Science Institute. This structure is intended to support the development of an independent research program that applies data science, artificial intelligence, and computational methods to important problems in surgery and healthcare. The MCW Data Science Institute is focused on advancing data science as a scientific discipline and enabling data-intensive research across MCW and its health system partners. Led by William R. Hogan, MD, MS, the DSI brings together expertise spanning artificial intelligence, biomedical and clinical informatics, bioinformatics, biostatistics, genomics and other multi-omics disciplines, geospatial analysis, and large-scale health data science. The Institute provides an interdisciplinary environment for developing novel computational methods and translating them into biomedical research and clinical care. Together, the Department of Surgery and Data Science Institute provide a collaborative environment for a surgeon-scientist seeking to build a nationally recognized research program at the intersection of surgery, data science, and artificial intelligence. To submit your application, please click on “Apply Now.” You will create a candidate profile, and you will be prompted to upload your CV and your cover letter, describing your interest and qualifications. References will be required at an appropriate time in the process. All interactions will remain confidential, and no inquiries will be made without the consent of the applicant. Application review will begin immediately and continue until the position is filled. For inquiries or to learn more, please contact: Kate Dillon, Physician & APP Recruiter, Sr. Additional Conditions of Appointment: Employment is contingent upon completion of satisfactory background verification. If this background check determines that you have misrepresentations, omissions, or we learn other information that in our view conflicts with MCW’s obligation to provide for patient or customer safety, our offer may be rescinded. • U.S. citizenship, permanent resident status or appropriate work authorization;, • Agreement to comply with the bylaws, policies, and procedures of MCW, including the Information for Faculty handbook, and the Code of Conduct;, • Acknowledgement of MCW’s vaccine policy;, • Obtaining and maintaining a Wisconsin medical license and DEA registration;, • Acceptance by MCW for professional liability (malpractice) insurance coverage;, • Obtaining and maintaining medical staff membership and clinical privileges at the hospital(s) where you will be assigned;, • Eligibility to participate in the Medicare and Medicaid programs, and your continued ability to be credentialed for treatment of managed care patients;, • Eligibility to participate in federal procurement and non-procurement programs The Medical College of Wisconsin (MCW) is the state’s only private medical school and health sciences graduate school. MCW consists of a School of Medicine with campuses in Milwaukee, Green Bay and Central Wisconsin, a School of Graduate Studies, and a School of Pharmacy. MCW is a major national research center ranking in the top third of U.S. medical schools in NIH funding and is the second largest research institution in Wisconsin. Academic medicine is at the core of everything we do at MCW, bringing together scientists, clinicians, students and community members to solve the most complex challenges in health and society. MCW is a diverse group of thought leaders collaborating to pioneer pathways to a healthier world. Every study we conduct and every patient we see leads to new learning and a continuous cycle of life-changing knowledge and innovation. Approximately 1,780 MCW physicians and approximately 905 advanced practice providers care for more than 484,000 patients of all ages annually at Froedtert Hospital, Zablocki VA Medical Center, Children’s Wisconsin, and many other hospitals and clinics throughout eastern Wisconsin, representing more than 5.1 million patient visits annually. The beautiful, safe and modern campus of the Milwaukee Regional Medical Center (MRMC) houses Froedtert Hospital, Children’s Wisconsin, Curative Care Network, Versiti Blood Research Institute and the Milwaukee County Behavioral Health Division. These member entities share a common mission of excellence in patient care, medical education, biomedical research and community service. Commitment to MCW Values All of our endeavors at MCW, from our internal operations to our interactions with our partners, are driven by our shared organizational values: acting in Caring ways – engaging in Collaborative efforts – approaching our world with Curiosity – advancing Inclusive practices – demonstrating Integrity in all we do – treating everyone with Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences and perspectives through merit-based processes, and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. Milwaukee, the largest city in Wisconsin, is located on Lake Michigan’s western shore. A metropolitan area with more than 1.6 million people, Milwaukee is an affordable, comfortable place to live, work, and play, big enough to be exciting and uncongested enough to get around easily. Milwaukee’s many neighborhoods have incredible charm, accommodating a variety of lifestyles, from high-rise apartments to small farms. Nestled along a magnificent bluff overlooking Lake Michigan, Milwaukee’s downtown is home to botanical gardens, lakefront museums, a theater district, the world champion Milwaukee Bucks, the Milwaukee Brewers, bustling nightlife, and award-winning restaurants. The lake and its harbors are skirted by scenic parklands and provide first-class opportunities for recreation, including hiking, cycling, boating, and more. A recent study ranked Milwaukee as the 15th most walkable of the 50 largest US cities. Milwaukee has all the advantages of a large, vibrant city but without the stress or cost. The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

Job Description Job Title: Biomedical Engineer Scientist Shift: 8am - 5pm Duration of Assignment: 12 months We are seeking a skilled and hands-on Scientist or Engineer for a 12-month contract to develop dry-format, liquid-format, and high-throughput screening (HTS) products supporting drug discovery and drug development workflows. The contractor will be responsible for formulating, prototyping, characterizing, and scaling biochemical products across a range of formats, including tablets, mini-tablets, sachets, vials, and 24, 48, 96, and 384 well plates. The scope of work encompasses biological buffers, biorelevant media, formulation excipients, stability-challenge reagents, LC-MS workflow reagents, biochemical screening matrices, and focused chemical libraries. The ideal candidate will bring a strong foundation in biomedical, biochemical, pharmaceutical, or chemical engineering sciences, combined with practical experience in formulation development, powder processing, tableting, automated solid and liquid dispensing, HTS plate preparation, analytical testing, moisture control, packaging, and stability studies. Key Responsibilities: Formulation & Product Development Develop biochemical products in tablet, mini-tablet, sachet, vial, and HTS plate formats. Formulate buffers, salts, sugars, amino acids, cofactors, excipients, stabilizers, stress reagents, quench reagents, and related biochemical materials. Optimize powder flow, blend uniformity, compression parameters, tablet weight, hardness, friability, disintegration, dissolution, and reconstitution performance. Support dry-plated reagents, liquid formulations, DMSO stocks, formulation-screening matrices, and focused chemical-library formats. Equipment Operation & Process Development: Operate or support tablet presses, powder blenders, solid and liquid dispensers, analytical balances, plate-handling equipment, and tablet-testing instruments. Develop dry and liquid dispensing workflows for 24-, 48-, 96-, and 384-well plates. Establish plate layouts, dispensing parameters, dose ranges, fill accuracy, precision, uniformity, and in-process controls. Plate Qualification & Quality Control: Qualify plate sealing, barcode identification, storage conditions, freeze-thaw exposure (where applicable), shipping, reconstitution, and end-use performance. Evaluate cross-contamination, carryover, evaporation, edge effects, compound adsorption, solvent compatibility, and plate-to-plate reproducibility. Analytical & Stability Testing: Develop analytical methods using techniques such as UPLC/HPLC, LC-MS, UV-Vis, Karl Fischer moisture analysis, pH, conductivity, osmolality, dissolution, and tablet-performance testing. Design and execute accelerated and real-time stability studies for tablets, dry plates, liquid plates, reagents, and final packaging configurations. Assess bottles, vials, foil pouches, sachets, desiccants, plate seals, lids, and other moisture- or solvent-barrier packaging systems. Troubleshooting: Identify and resolve tableting, dispensing, and plating issues, including poor powder flow, sticking, segregation, content non-uniformity, precipitation, evaporation, carryover, and inconsistent well dosing. Documentation & Collaboration: Prepare product specifications, plate maps, batch records, dispensing instructions, analytical protocols, development reports, and manufacturing-transfer documentation. Collaborate cross-functionally with R&D, Analytical, Manufacturing, Quality, EHS, Product Management, Automation, and internal technical teams. Expected 12-Month Deliverables Capability Assessment Evaluate current tableting, blending, dispensing, plating, analytical, stability, packaging, and data-management capabilities. Standardized Workflows Establish development workflows for tablets, dry reagents, liquid reagents, and HTS plates. Dispensing Qualification Qualify solid and liquid dispensing across relevant dose and volume ranges. Product Prototyping Prototype two to three priority products in tablet, sachet, vial, or plate formats. Performance Demonstration Demonstrate acceptable dose uniformity, plate uniformity, tablet performance, reconstitution, analytical quality, and stability. Preliminary Specifications Establish preliminary specifications, plate maps, barcode and lot-tracking requirements, packaging recommendations, and stability plans. Pilot Readiness Prepare at least one product candidate for pilot-scale manufacturing or customer evaluation. Technical Roadmap Deliver a roadmap for scale-up, automation, manufacturing transfer, and future RUO, GLP-supporting, or GMP-grade development. Required Qualifications Education: PhD with relevant experience, or MS with substantial industrial experience, in Biomedical Engineering, Biochemical Engineering, Pharmaceutical Sciences, Pharmaceutics, Chemical Engineering, Biochemistry, Chemistry, Materials Science, or a closely related field. Hands-on experience in at least two of the following areas: dry formulation, tableting, powder processing, biochemical reagent development, automated dispensing, or HTS plate preparation. Experience with 24-, 48-, 96-, or 384-well plate workflows, including solid or liquid dispensing, sealing, plate maps, storage, and quality control. Solid understanding of powder properties, excipient functionality, solvent compatibility, moisture sensitivity, formulation stability, and packaging compatibility. Demonstrated experience designing and documenting formulation, analytical, process-development, dispensing, or stability studies. Ability to independently translate product concepts into structured experiments, prototypes, and transferable processes. Preferred Qualifications Experience with biological buffers, pharmaceutical excipients, dissolution media, LC-MS reagents, biochemical screening kits, formulation-screening plates, or chemical libraries. Familiarity with automated solid or liquid dispensers, laboratory robotics, low-volume dispensing, DMSO solutions, dry-plated compounds, or plate sealing systems. Proficiency with UPLC/HPLC, LC-MS, Karl Fischer analysis, dissolution testing, osmolality measurement, powder characterization, barcode tracking, LIMS, SDF/CSV file formats, or plate-data management systems. Experience with Design of Experiments (DoE), Quality by Design (QbD), laboratory-to-pilot scale-up, technology transfer, RUO product development, GLP, GMP, or ICH stability principles.

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, progra

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

Basic understanding of production data/ML concepts, including pipelines, data quality, reproducibility, versioning, deployment, and monitoring. Able to independently troubleshoot common data, query, environment, and pipeline issues — failed jobs, broken queries, bad joins, package conflicts, data-

Remote Data Scientist 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 those findings to internal and external stakeholders. Requirements: • Solid Python and SQL experience, • Foundational statistics (hypothesis testing, regression analysis, experimental design), • Applied ML exposure (e.g. scikit-learn) Pluses: • Experience working in a start-up or on a fast paced team, • Statistical Risk modelling experience Location: Remote - this client is based in NYC and would love to find a candidate in the NY area who can come in now and then, but they're open to anyone located in the US. Salary: 150K- 200K DOE!

Title: Marketing Data Engineer Location: Remote US Duration: 12 months Compensation: $60-80/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. As a Data Engineer in the Marketing Analytics area you will have the opportunity to work across family of products. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. Responsibilities Work with the MarTech, Marketing Data Science and Data Ops teams, translating their needs into tangible analytical solutions to improve marketing efficacy by providing impactful insights through streamlined and automated reporting Design and Develop data models, pipelines, dashboards, and other analytic solutions to support Marketing programs and campaigns Solve data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources Collaborate with engineers, data scientists, program/product managers and marketers to understand data needs, representing key data insights in a meaningful way Conceptualize data architecture for large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems Implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues Produce clear, concise, accurate, and decision-ready analytical deliverables; independently validate all AI-assisted output for correctness, originality, and business relevance Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 5+ years of experience where the primary responsibility involves working with data. This could include roles such as data engineer, data scientist, data infra, or similar positions 5+ years of experience with SQL, ETL, data modeling, data visualization and at least one programming language (Python is preferred) Preferred Qualifications: Experience building and maintaining data integrations with advertising and marketing technology platforms (e.g., Meta, Google Ads/DV360/CM360, TikTok, Salesforce), including collecting ads performance data via APIs, webhooks, or batch file imports, and managing data pipelines & and business intelligence solutions that support marketing measurement, reporting, and decision-making. Experience building and maintaining survey data infrastructure: collecting data from survey platforms (Qualtrics, Medallia, custom web apps) via APIs, webhooks, or batch imports, and designing flexible data models that support storage, transformation, and modeling of complex questionnaire responses 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.

Company Description RP-IO helps organizations hire and scale more efficiently. We are actively recruiting for a Senior Data Scientist for a Contract, remote position, for one of our customers based in the Bay Area. Why This Role Exists Our client (Company) is integrating with another company (Parent Company - PC). The PC is taking over Company's prospect account scoring in stages and folding in its own marketing, outbound, pre-approval, and credit models. It is building the replacement models on their current data. Until that finishes, their production scoring system still decides which accounts outbound reps work. Over the engagement, their systems will increasingly run on PC's scores instead. This role runs the transition end to end. It hands PC the Company's training data, validates PC's scores against Company's, integrates and applies those scores in Company's sales targeting, and keeps the current system healthy until cutover. It is one project with a defined end. It also frees the data scientist who built the system for other work, so the hire must run with little handholding after a roughly 6-week ramp. What You Inherit • Three supervised models on tabular data. A value model (CatBoost regression on expected spend), an intent model (survival model on time to first meeting), and an outreach model (calibrated contact-level classifier rolled up to the account). They blend into a 0-100 prospect score., • A weekly batch pipeline. Features are SQL on Snowflake. Models train and score on AWS SageMaker. dbt assembles point-in-time score history and applies eligibility rules., • A live business use. The score drives the quarterly assignment of prospect accounts to outbound reps' fixed books, and reps use it to prioritize within their books., • An explainable signal-tier layer. A daily tier that tells a rep which accounts are showing intent right now and names the reason. It is rolling out with RevOps., • An earlier handoff. Company has already shared a model validation dataset with PC's data science team., • Tools. Python, SQL, Snowflake, dbt, SageMaker, Hex, Salesforce, GitHub, Linear. What You'll Do • Run and maintain the scoring system. Own the weekly scoring runs, monitoring, data-quality fixes, and documentation. Support the lightweight November 2026 fixed-book refresh and the major January 2027 refresh., • Build the training data for PC's models. PC is building models for company's prospect targeting, trained on company data. This is the current project. Assemble and hand over the training sets: account history, Company-specific features, and outcome labels such as meetings, conversions, and spend. Make them point-in-time correct, with documented definitions, label rules, and known biases, including outreach that the existing score directed. Define labels the same way Company's own models do, so the two can be compared later., • Validate PC's scores on Company data. Test whether PC's scores give lift over Company's existing scores on Company outcomes. Keep the test honest by using accounts or time periods PC's models never trained on, usually out of time. Measure lift at the cutoff reps actually work, by segment, along with calibration and coverage. Give a clear recommendation to switch, blend, or hold. This read gates the cutover., • Lead the integration of PC's scores into Company. Data moves in both directions. PC will deliver its scores to Company, through a scheduled drop into Snowflake or through an API. Company may also need to send PC a recurring 5. 6. 7. 8. feed of Company-specific features for scoring, through a data share, a scheduled job, or a Company-side API. The interface is not designed yet. You lead the data science side end to end: requirements, feature definitions, the data contract with PC's team, validation of what comes back, monitoring, and cutover. Make sure incoming scores are stored with as-of dates so any past score can be reconstructed. Data Engineering and Company's engineering build the pipelines and any API. You write the data specs and validate the result., • Apply PC's scores in sales targeting. Start with PC's prospect risk score. With the technical lead, test whether it works better as an eligibility filter or as a ranking input, given how many accounts the books need. Implement the chosen path in the book-assignment tool behind a configuration switch. Design the control group for the January refresh and deliver the readout on approvals, conversion, and activation. The live test confirms what the offline validation predicts., • Be PC's working counterpart on scoring. Answer their data science team's questions about Company's models, data, and business. Keep Company's model documentation current. Field targeting-related data requests from PC and RevOps through the data team's PC request process., • Help get data approvals. Work with the hiring manager and the technical lead on Company's Legal, Compliance, and Trust reviews of data exchanged with PC, starting with the training data, and on model risk questions from PC. Write the use-case and data-handling summaries reviewers need, answer their questions, and track each approval to closure. So far this has been light work., • Project-manage the transition. Keep the plan, milestones, and decision log. Run the working cadence across PC, RevOps, and Data Engineering, and raise blockers early. Write the plan to retire Company's models and hand off what remains. Out of Scope • New model development. PC builds the replacement models. Retrains and fixes that keep Company's current models healthy are in scope., • ML engineering. Data Engineering and Company engineering build and own pipelines, APIs, serving infrastructure, and every data share with PC. You specify and validate., • Sales policy. RevOps decides book design and sales process. You supply the analysis., • Unapproved data use. Today, PC scores enter targeting as delivered attributes, not as training features in Company models. Every data exchange with PC, in either direction, goes through Company's approval path. That includes Legal review of which Company data can be shared. Requirements • 5+ years in data science, including owning production ML models end to end: build, deploy, monitor, retrain., • Supervised ML on tabular data, especially gradient-boosted trees. Survival or time-to-event modeling is a plus.-, • Strong SQL and Python. Snowflake and dbt preferred., • Has run batch scoring pipelines in production on SageMaker or an equivalent platform., • Has used an external partner's data or model scores in production, including data contracts, validation, and monitoring. Snowflake data sharing preferred., • Has built model training datasets: point-in-time features, label definitions, and leakage control., • Rigorous model evaluation: ranking metrics, calibration, point-in-time correctness, leakage, and bias from outreach that the score itself directed., • Has evaluated a vendor or partner model against an in-house baseline on held-out data., • Experiment design in an operating business: control groups, power, and readouts that decision-makers act on., • Lead or account scoring, sales targeting, or territory design in B2B, including Salesforce data., • Works directly with an external partner's technical team and with senior RevOps stakeholders. Writes clear documentation., • Runs a multi-team project without a dedicated project manager., • MS or PhD in a quantitative field, or equivalent production experience. Bonus • Fintech, card, or credit risk experience, especially using a third-party risk or credit score in targeting., • Has taken a data-sharing or model-use case through legal, compliance, privacy, or a bank's model risk review., • Experience with a feature store. Company uses Chalk. What We Screen For • Applied ML data scientist, not an ML engineer. Strong on modeling, evaluation, and getting model output used in the business. Engineering builds the infrastructure., • Ownership, not ticket execution. Figures out what the problem is and drives it without waiting for a spec., • Production depth. Has kept a model running in production and dealt with what broke. Research-only profiles don't fit., • Partner-facing judgment. Can tell an external team plainly what a model can andccan't support, and tell Company plainly when a partner's model doesn't beat ours.

Manage qualitative data in qualitative data analysis software, including transcript preparation, codebook development, and coding. A successful Associate Research Scientist typically advances to Research Scientist in one to three years. Build and apply codebooks using both deductive and inductive ap

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

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

We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity. In this role, you will partner closely with Safety

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

People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. We need a Data Scientist with a proven track record of translating data into insight and action. The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. You will play a pivotal role in developing and commercializing cutting-edge machine learnin

Together, the Department of Surgery and Data Science Institute provide a collaborative environment for a surgeon-scientist seeking to build a nationally recognized research program at the intersection of surgery, data science, and artificial intelligence. The MCW Data Science Institute is focused on

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.

Job Description Title: Sr Data Analyst Location: Milwaukee, WI Type: Hybrid (3 days onsite per week) Duration: ASAP - May 2025 Perks: Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on analyzing campaigns, understanding business processes, and distributing insights via dashboards. You will collect, validate, and deeply analyze data to uncover insights that drive marketing decisions, ensuring alignment with key objectives and results (OKRs). This is not a traditional BI role but one that requires critical thinking, asking the right questions, and leveraging data to move marketing initiatives forward. Key Responsibilities • Develop and deliver user-friendly dashboards and reports to provide actionable insights and recommendations., • Perform data collection, QA checks, and in-depth analysis to understand and improve marketing campaigns and business processes., • Ask insightful questions to uncover underlying data trends and inform strategic marketing decisions., • Conduct campaign and business analysis, using data to identify opportunities and drive forward marketing objectives., • Partner with stakeholders to translate findings into meaningful strategies and plans. Technical Skills and Requirements • Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI., • Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable insights., • Proven experience conducting deep data dives to support decision-making., • Ability to grasp and analyze complex business processes and campaign performance. Must-Haves • Expertise in research and data analysis with a proven track record of delivering actionable insights., • Ability to systematically gather, evaluate, and interpret data to uncover patterns and trends., • Strong communication skills to present findings effectively to stakeholders., • A results-driven mindset, with the ability to manage multiple priorities and meet deadlines. Ideal Candidate Traits • A proactive approach to problem-solving, with curiosity and creativity to explore beyond routine tasks., • Experience in marketing-focused analysis, including campaign performance evaluation., • A collaborative and inclusive attitude, with a willingness to mentor and share insights with peers. This role offers an exciting opportunity to blend data science with marketing strategy, driving impactful decisions and contributing to organizational success.

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.

Junior Data Scientist 📍 Remote (United States) | Full-Time About the Role 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-paced environment. You'll work alongside analysts, engineers, and business stakeholders to support reporting, forecasting, automation, and advanced analytics initiatives across different business areas. Key Responsibilities • Analyze and interpret large datasets to support business decision-making, • Develop and maintain automated workflows using Python and SQL, • Create dashboards, reports, and visualizations using BI and analytics tools, • Support predictive analytics, segmentation, and forecasting projects, • Assist in building scalable reporting and data processing solutions, • Collaborate with technical and non-technical teams to translate business needs into data solutions, • Contribute to the maintenance and optimization of data models and pipelines Requirements (Must-Have) • Experience working with Python for data analysis, scripting, or automation, • Strong SQL knowledge and experience querying relational databases, • Familiarity with business intelligence or data visualization tools (e.g. Power BI, Tableau), • Basic understanding of machine learning concepts (e.g. regression, classification), • Foundational knowledge of statistics (hypothesis testing, distributions, correlation), • Strong analytical thinking and problem-solving ability, • Clear communication skills — able to explain data insights to non-technical audiences Nice-to-Have • Understanding of cloud-based analytics or modern data platforms (AWS, GCP, Azure), • Interest in AI-enabled workflows, automation, or applied data science, • Prior exposure to predictive modeling or forecasting projects What We Offer • Remote and flexible working environment, • Opportunity to work on modern analytics and AI-focused projects, • Supportive, collaborative team culture, • Professional development and learning opportunities, • Exposure to cloud technologies, automation, and scalable data solutions, • Career growth within an expanding team, • Performance-based incentives, • Wellness and work-life balance support --- About Why Hiring At Why Hiring, we connect talented individuals with remote job opportunities, simplifying the job search and helping professionals find fulfilling roles regardless of geography. Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other status protected by law.

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

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

Design and maintain Power BI dashboards, reports, and visual summaries to track product performance, billing outcomes, and key customer metrics. Analyze large utility datasets—including AMI usage, Customer Care & Billing (CC&B), and customer engagement data—to identify trends, patterns, anomalie

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

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. Experience with cloud platforms including AWS, GCP, Snowflak

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

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. Experience Range: 15 - 18 years of experience in advanced da

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

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.

Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards. Communicate model results and data insights clearly to technical and non-technical stakeholders. Data Analysis & Pipeline Ownership.

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. Our client, a leader in consumer purchase data and an

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

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

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

Job Title: Sales Director / Sales Manager (U.S. Market) Position Type: FTE Location: Remote Salary Range: USD $90,000 – $200,000 base + commission (Manager: $90,000 – $120,000 base, OTE $120,000 – $160,000; Director: $140,000 – $200,000 base, OTE $180,000 – $260,000+) Job ID#:177894 About the Company Our client is an embodied-AI and companion-robotics company focused on "physical-companion relationships", positioning itself as a trustworthy and sustainable platform for embodied companionship. Its mission is to move intelligent robots from "understanding the world" to "understanding and accompanying people". Built on a unified intelligence stack (control system + companion LLM + relationship-intelligence "brain") anchored by a full-size humanoid body, the company delivers next-generation companions that combine physical presence with long-term relational intelligence, solving the bottleneck of existing products that either "have a relationship but no body" or "have a body but no relationship". The core team combines top-tier academic credentials with proven entrepreneurial track records, led by an IEEE / ASME Fellow Chief Scientist and HKUST endowed professors, with co-founders and key members from HKUST, Harbin Institute of Technology and Tsinghua, and executives from Lenovo, Hitachi Data Systems and United Optoelectronics covering full-stack technology, supply chain, compute infrastructure and go-to-market. The product line replicates multiple form factors on a single intelligence base: a full-size companion robot (flagship emotional-companion, on-device, offline-capable, data never leaves the device), the carbon-silicon hybrid (government/B-end narration and rental) and humanoid figures (closed-scenario hardware + control system). The company has signed strategic partnerships with leading humanoid-robot makers and holds the core technology of the underlying intelligence and the simulated body. [U.S. Market · Sub-brand] In the North American intimate-wellness and companion-technology market, the company operates through an independent sub-brand for consumers and B-end operators, with separate legal entity, brand, accounts and reputation for localized, firewalled operations. The sub-brand will make its U.S. brand debut and live-experience launch at a major industry expo in Las Vegas in January 2027. The Sales Director being hired will directly own the sub-brand's U.S. sales-system build-out and growth. About the Role We are hiring a Sales Director to own the full go-to-market and revenue engine for the brand in North America — building the sales system, opening channels and driving growth, with the Las Vegas industry expo (January 2027) as the brand-launch milestone, closing the loop from expo launch to offline experience-store conversion and online repeat purchase. Key Responsibilities · Define and execute the brand's North America sales strategy and own the annual revenue target. · Build and manage direct, distribution, e-commerce and offline-experience channels; develop retail chains, intimate-wellness specialty channels and B2B partners. · Lead the Las Vegas industry expo (Jan 2027) brand launch: booth planning, influencer pre-heating, live demos and lead conversion. · Recruit, train and motivate the local sales/channel team; establish KPIs, commission schemes and CRM management. · Translate frontline market insight into pricing, product and localization strategy with product, supply-chain and marketing. Requirements · 8+ years in sales/channel management (consumer electronics, smart hardware or sexual wellness), 5+ years managing sales teams. · Preferred: prior sales or channel experience/resources in the sexual-wellness / intimate-wellness industry. · Preferred: bilingual (Chinese-English) proficiency, able to bridge U.S. and HQ teams. · Deep knowledge of U.S. retail, e-commerce and offline channels with a proven 0-to-1 sales-system build. · Experience with expo/large-event marketing and influencer/PR coordination; results-driven and able to travel as needed. · Strong integrity, aligned with privacy, compliance and boundary-by-design principles. Location & Working Mode Remote-first role. Preferred base: Las Vegas or California (NV / CA). Travel expected for the Las Vegas expo and local channel development; asynchronous collaboration with China HQ across time zones. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/. Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Career CategoryScientificJob DescriptionJoin Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.Sr.Data Scientist - Process ModelingWhat you will doLet’s do this. Let’s change the world. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen’s pipeline. This group also supports key priorities and the development of strategies for digital process development for both biologic and synthetic moieties.This position is part of a team advancing biologics drug-substance modeling and the digitization of tech-transfer workflows. As new modeling capabilities are developed and information is parameterized, opportunities abound to deploy modeling tools to enable early insights and phase-appropriate decision-making. These capabilities support drug substance development, technology transfer, manufacture, and life-cycle management across Amgen’s global network of manufacturing and development sites.This role will contribute to the success of Drug Substance Technology organization by helping to digitize workflows to drive improvements in technology transfer timelines and ensure right-first-time success. As a Sr. Data Scientist, you will evaluate and improve Amgen’s digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The position will lead to solutions for open-ended “no single right answer” challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing. The Sr. Data Scientist will also be responsible for determining, defining, and tracking performance improvements.Responsibilities:Leverage tech-transfer and process-modeling domain knowledge to drive implementation of digital technologiesDigital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS networkChange management to integrate tech transfer digital applications into product teamsDevelopment of data products to enable FAIR data for tech transfer/NPIEnable AI Agentic workflows for DST modeling assetsCollaborate with digital product teams to build and integrate modeling assets into business processes for DSTInteract cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen productsMake business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied levels of stakeholdersContribute to establishing a robust data science strategy by providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data scienceWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients. The Data Scientist professional we seek is an individual with these qualifications.Basic Qualifications:Doctorate degreeORMaster’s degree and 2 years of Data Science or Engineering experienceORBachelor’s degree and 4 years of Data Science or Engineering experienceORAssociate’s degree and 8 years of Data Science or Engineering experienceORHigh School diploma or GED and 10 years of Data Science or Engineering experiencePreferred Qualifications:MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science.Chemical Engineering modeling, drug-substance, tech-transfer experience 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) Experience with AGILE software development methodologies Experience with Databricks, coding languages (Python, SQL), AI Tools (Chat GPT, Codex, GenieCode), React, and BI tools (Spotfire/Tableau/Power BI) Experience in developing AI applications for process development workflows and integrating AI solutions into process development business processes Experience with process modeling for cell-culture, harvest,and purification scale-up Demonstrated performance in application of digital tools to solve analytical problems Demonstrated effective written and verbal communication skills Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques as well as manage team members and deliverables.What you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accountsA discretionary annual bonus program, or for field sales representatives, a sales-based incentive planStock-based long-term incentivesAward-winning time-off plansFlexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.Apply now and make a lasting impact with the Amgen team.careers.amgen.comIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.Application deadlineAmgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.SponsorshipSponsorship for this role is not guaranteed.As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..Salary Range134,168.25USD -181,521.75 USDSummaryLocation: US - Massachusetts - Boston; US - Wyoming - Cheyenne; US - Texas - Houston; US - Kentucky - Louisville; US - Georgia - Atlanta; US - California - Thousand Oaks; US - Kansas - Wichita; US - Mississippi - Jackson; US - Wisconsin - Milwaukee; US - Ohio - Columbus; US - Minnesota - Minneapolis; US - North Dakota - Fargo; US - Iowa - Des Moines; US - West Virginia - Charleston; US - Washington D.C.; US - Washington - Seattle; US - Tennessee - Memphis; US - North Carolina - Charlotte; US - Indiana - Indianapolis; US - Florida - Jacksonville; US - South Dakota - Sioux Falls; US - Virginia - Virginia Beach; US - New York - New York; US - South Carolina - Columbia; US - Rhode Island - Providence; US - Michigan - Detroit; US - Arkansas - Little Rock; US - Delaware - Wilmington; US - New Mexico - Albuquerque; US - Vermont - Burlington; US - Pennsylvania - Philadelphia; US - Utah - Salt Lake City; US - Arizona - Phoenix; US - New Jersey - Newark; US - Oregon - Portland; US - Connecticut - Bridgeport; US - Alaska - Anchorage; US - Illinois - Chicago; US - New Hampshire - Manchester; US - Oklahoma - Oklahoma City; US - Colorado - Denver; US - California - Los Angeles; US - Massachusetts - Cambridge; US - Nevada - Las Vegas; US - Alabama - Birmingham; US - Nebraska - Omaha; US - Montana - Billings; US - Maryland - Baltimore; US - Maine - Portland; US - Idaho - Boise City; US - Hawaii - Honolulu; US - Louisiana - New Orleans; US - Missouri - Kansas CityType: Full time

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