• Experimentation & Causal Inference: Design and implement scalable A/B tests to train causal inference models and multi-armed bandits to optimize registration, trial conversion, and retention strategies. • Automation & Personalization: Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses. • Growth Optimization: Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV. • User Segmentation & Personalization: Leverage clustering, behavioral analysis, and geospatial data to identify key user segments and tailor experiences accordingly. • Product Development: Collaborate with product managers and engineers to conceive and develop innovative product ideas, driving feature iteration and development to make impact. • Cross-functional Collaboration: Partner closely with growth, lifecycle marketing, and user acquisition teams to translate insights into scalable marketing and product strategies. • Data Infrastructure & Tooling: Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and analysis. • Thought Leadership: Act as a mentor and thought leader within the data science team, helping to define best practices in experimentation, machine learning, data-driven decision-making, and agentic AI (AI-Native) best practices.

Labcorp is seeking a US remote based Bioinformatics Specialist II to join it's team to support our Invitae Genetics lab. Work Schedule: Tuesday-Saturday, 8am-5pm (candidate local time zone) Job Responsibilities: - Ensure and maintain the delivery of accurate clinical reports by reviewing batch and sample level data for patient samples - Create tools and workflows to ensure the accurate processing and troubleshooting of sample data and clinical systems - Next generation sequencing (NGS) performance metric definition, analysis, and monitoring - Assess and troubleshoot the data systems that orchestrate the lab and bioinformatics processes - Track and improve measures of operational excellence (e.g. order turnaround time) - Address production bottlenecks, investigate their causes, and facilitate solutions - Serve as a subject matter expert representing the team in incident responses, process improvements, and product development - Execute SOP development and improvement - Develop software scripts and queries for analysis and automation - Monitor delayed samples and support their resolution - Must be able to work a flexible schedule, including being able to commit to periodic weekend support Minimum Qualifications: - High School diploma or equivalent with 9 years or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) OR Bachelors degree with 5 years or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) OR Masters degree with 3 years or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) OR Ph.D. with 1 year or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) - 1 year or more experience working in a high throughput manufacturing or lab processing environment - 1 year or more experience with troubleshooting or process improvement for lab or software pipelines ​ Preferred Qualifications: - 1 year or more of hands-on Next Generation Sequencing (NGS) wet lab experience - 1 year or more experience with bash scripting Additional Job Standards: - Strong process analysis, design, and improvement experience - Working knowledge of molecular genetics and experience with next generation sequencing (NGS) data, in a production setting - Strong experience manipulating data and troubleshooting applications in UNIX-based environments - Strong experience writing scripts to analyze data (e.g. Python, R) and well versed in software version control methods (e.g. Git) - Strong database querying experience (e.g. PostgreSQL) - Superior oral and written communication skills and the ability to clearly communicate technical findings to non-technical teammates - Familiarity with LIMS best practices and working in a high throughput lab environment - Excellent ability to work with people across different teams and specializations Application Window Closes: 3/27/26 **Salary Range: $90,000 - $110,000 / year All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please  click here.    Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Get Set for Cumberlands! Join our team of student-focused individuals working together in order to encourage intellectual and spiritual growth, leadership and service. CURRENT STUDENT or EMPLOYEE? Please log into Workday and use the Career Tile to find and apply to jobs from our internal career sites. The School of Computer and Information Sciences is currently seeking a full-time faculty member for the Master’s in Science in Data Science (MSDS) program. This position supports the continued growth and academic excellence of the program and offers the opportunity to contribute meaningfully to graduate education in healthcare leadership and administration. Responsibilities: - Teach graduate-level course in the MS in Data Science programs (online and/or residency format, as assigned). - Maintain instructional excellence aligned with course objectives, accreditation standards, and program outcomes - Engage in curriculum development, assessment, and continuous program improvement - Provide academic advising and mentorship to graduate students - Participate in faculty meetings, program initiatives, and university service activities - Collaborate with program leadership to support student success, retention, and professional preparation - Perform other duties as determined by the Dean and Program Director - Perform other responsibilities and abide by the appropriate policies and procedures contained in UC’s Faculty Handbook. Required Skills: - Strong organizational and time management skills - Strong interpersonal and oral presentation/written communication skills. - Proficiency in working effectively with Blackboard - Proficiency with standard office and mobile applications - Proficiency in any of the following topics: Statistics, Python Programming, R Programming, Artificial Intelligence, Natural Language Processing, and Deep Learning. Required: - Doctoral/PhD Degree in Data Science, Data Analytics, Computer Science, or related field required with a minimum of 2 years of online teaching experience at the University Level (Graduate Level Courses) - Minimum and preferred from an institution regionally accredited by an agency recognized by the U.S. Department of Education. - 18 graduate semester credit hours in Artificial Intelligence, Machine Learning, and/or Data Science. Recommended: - Data Science courses & certification from Microsoft, Google, IBM, and other similar Academic institutions. - Documented work experience in the field of Data Science or related field. - Candidate must be based in the US. Cumberlands is different by design. Our employees exemplify our motto in the pursuit of a “life-more-abundant.” Cumberlands is different by design. Our employees exemplify our motto in the pursuit of a “life-more-abundant.”

• Pre-sales solution design & value articulation, explaining to clients the analytic details of FICO Scores products, features, analytics and services. • Partnership with Scores Sales Executives and Client Success Managers to understand client business objectives, use cases, decision criteria, and to ensure informed handoff from presales to post‑sale execution. • Design and articulate FICO Score solution configurations aligned to client needs, regulatory context, and operational realities. • Lead technical discovery sessions, solution walkthroughs, and value‑based discussions with client stakeholders. • Translate analytics, model performance, and score usage into clear business and ROI narratives for executive and technical audiences. • Support presales activities across new logo, expansion, and renewal motions, including solution positioning and packaging. • Contribute to pricing discussions by providing technical input, usage assumptions, and solution complexity considerations. • Partner cross functionally with Sales, Analytics and Clients Success, to support RFx responses, proposals, and deal review materials. • Review and validate client‑facing materials (presentations, ROI models, solution summaries) for accuracy and relevance.