This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking at you—high-achievers, challenge-seekers, and innovation-chasers. Professionals who never shy away from complex problems. We hire the top 1% and let your talents soar. Are you an intellectually curious, deal oriented professional who enjoys coming up with innovative solutions to complex business issues? Connor Group is seeking professionals who want to build off their existing accounting, operational, and industry experience. We execute finance projects and digital solutions projects that add value to our clients within their finance, accounting, and operations, and technology departments. - Hands on design, development, deployment, and maintenance of data analytics, advanced analytics, data science and AI solutions. - Lead end-to-end delivery of data science & advanced analytics engagements. - Translate complex business problems into analytics and machine learning solutions. - Perform diagnostic analytics / causal / driver analysis for complex business problems. - Develop predictive, prescriptive, and optimization models for enterprise use cases. - Conduct exploratory data analysis activities (e.g., basic statistical analysis, hypothesis testing, statistical inferences). - Create machine learning models for tasks like customer segmentation, sales forecasting, and churn prediction. - Design and implement AI-enabled analytics solutions, including forecasting, customer and revenue analytics, risk and anomaly detection, in-process intelligence and optimization. - Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. - Perform model assessment & optimization. Apply best practice techniques for model testing and tuning. - Write queries (BigQuery, SQL …) and scripts to gather, clean, and pre-process raw structured and unstructured data for data science tasks. - Build reusable analytics accelerators, frameworks, and industry solutions. - Develop solutions around AI-driven BI, Agentic AI applications, AI-assisted data management, GenAI / LLM based innovative solutions. - Create Proof-of-Concepts, Prototypes for innovative solutions. - Work closely with client stakeholders including CFO, FP&A, operations, and IT leadership. - Mentor and lead teams of data analysts, data engineers, and data scientists. - Facilitate workshops on data strategy, analytics roadmap, and AI adoption. - Serve as a trusted advisor to clients on data-driven decision making. - Support sales and business development activities including proposals and solution architecture. - Present insights and recommendations to senior executives and business leaders. - Ability to manage multiple projects / clients at the same time and work in an agile fashion. - Performing change management support for stakeholders. Qualifications - 10+ years of experience in data analytics, data science, advanced analytics, or machine learning. - 8+ years of experience delivering analytics solutions in a consulting or advisory environment. - Strong expertise in diagnostic analytics, statistical modeling, machine learning, predictive analytics, and optimization techniques. - Highly efficient in Python or R and comfortable with SQL. - Hands-on experience with tools such as Python (pandas, scikit-learn, PyTorch, TensorFlow), SQL, Data science platforms (Databricks, Snowflake, AWS, Azure, GCP). - Experience building production-grade ML pipelines and MLOps workflows. - Must thrive when presenting complex analyses to non-technical stakeholders. - Experience applying statistics, experimental design, and causal inference through professional experience. - Experience developing end-to-end machine learning solutions through professional experience. - Ability to translate business problems into quantitative models and analytics solutions. - Strong executive communication and presentation skills. - Proven experience in enterprise analytics transformation or AI adoption programs. - Experience in Generative AI and LLM-based applications. - Experience with Retrieval Augmented Generation (RAG), AI copilots for analytics, and Agentic AI workflows. - Familiarity with modern data architectures (data lakehouse, data mesh and medallion architecture). - Experience in financial analytics, FP&A, or operational analytics is a plus. - Experience in CRM, ERP, FP&A related technologies, systems and platforms is a plus. - Advanced degree in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, or other quantitative fields. Benefits - Resources and opportunities to help achieve professional goals. - Health insurance packages and wellness programs. - One-on-one coaching program and career development opportunities. - Empowerment through investment in growth, health, and happiness. Company Description Connor Group is committed to celebrating the value of diversity in a globally connected business world. Our team culture is collaborative and encourages team members to take initiative. Our professionals are committed to excellence, growth, and integrity. By focusing on innovation, we continue to raise the bar on excellence and deliver greater value to our clients.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Executive Director of Advanced Analytics & Data Science is a senior leadership role at the forefront of BeOne’s ambition to turn data, analytics, and AI into a competitive advantage. This leader will shape and accelerate the company’s vision for advanced analytics and ML/AI application, driving strategic priorities and operational excellence across the global commercial organization. As a trusted strategic partner to the business, you will define and execute a world‑class global commercial analytics strategy, fuel cross‑functional collaboration, and champion bold innovation. You will lead and inspire a high‑performing team of analytics and data science experts to deliver scalable, high‑impact solutions—spanning advanced analytics, machine learning and AI, predictive modeling, marketing mix optimization, digital and channel analytics, and decision engines / next best action—to inform strategy and power execution. Success in this role requires deep technical expertise, a relentless passion for data‑driven problem solving, and a proven track record of building and developing exceptional teams. Key Responsibilities - Strategic Analytics Leadership: - Define and lead a compelling vision for advanced analytics, data science, and AI—directly shaping BeOne’s strategic direction and commercial success. - Build, inspire, and scale a high‑performing analytics organization that delivers insights leaders rely on to drive decisions across market access, marketing, and business operations. - Champion a culture of innovation, accountability, and data‑driven decision‑making, where analytics is embedded in how the business thinks and acts. - Data‑Driven Insights: - Design and deploy sophisticated analytics frameworks—including segmentation, predictive modeling, promotional response, risk assessment, and patient journey analytics—to unlock growth and improve outcomes. - Serve as a strategic advisor to commercial leadership, influencing planning, market opportunity assessments, and product strategy with rigorous, insight‑led thinking. - Cross‑Functional Collaboration: - Partner closely with leaders across marketing, market access/HEOR, clinical, regulatory, finance, and sales to solve the company’s most complex and high‑impact business challenges. - Collaborate with medical affairs and clinical trial teams to enhance program effectiveness, optimize resource allocation, and extend the value of analytics across the enterprise. - Innovative Technologies & Methodologies: - Lead the adoption and scaling of machine learning, AI, and GenAI analytical solutions to drive step‑change improvements in efficiency, effectiveness, and insight generation. - Stay at the forefront of innovation in oncology, life sciences, and analytics—ensuring BeOne continues to differentiate and lead in a rapidly evolving landscape. - Thought Leadership: - Build strong relationships with external partners, vendors, and key opinion leaders to accelerate innovation and expand BeOne’s analytics ecosystem. - Team Development & Organizational Impact: - Recruit, mentor, and retain top analytics and data science talent, creating a high‑performance culture where people grow and thrive. - Define clear goals, KPIs, and value metrics to demonstrate the tangible business impact of analytics and AI initiatives. - Ensure analytics practices consistently meet the highest standards of ethics, compliance, and data integrity. Qualifications - 15+ years of experience in commercial analytics, including 5+ years leading data science and AI/ML initiatives within healthcare or life sciences. - Proven experience working with oncology and/or rare disease datasets strongly preferred. - 7+ years of leadership experience building, scaling, and leading high‑performing analytics teams in biotech or pharmaceutical environments. - Deep, hands‑on expertise in data science, machine learning, statistical modeling. - Demonstrated experience implementing and scaling generative and agentic AI analytical solutions in real‑world business settings. - Strong business acumen with a track record of translating advanced analytics into strategic and operational impact. - Experience partnering effectively with business stakeholders across clinical, medical affairs, regulatory, and enterprise functions. - Exceptional leadership capabilities, with a passion for coaching, developing, and inspiring talent (direct and indirect). - Excellent communication and influence skills, with the ability to drive change, align stakeholders, and articulate a compelling analytics and data science vision. Global Competencies - Fosters Teamwork - Provides and Solicits Honest and Actionable Feedback - Self-Awareness - Acts Inclusively - Demonstrates Initiative - Entrepreneurial Mindset - Continuous Learning - Embraces Change - Results-Oriented - Analytical Thinking/Data Analysis - Financial Excellence - Communicates with Clarity Salary Range $269,600.00 - $349,600.00 annually. BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Benefits - Medical - Dental - Vision - 401(k) - FSA/HSA - Life Insurance - Paid Time Off - Wellness Equal Opportunity Employer We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Forward Deployed Data Scientist (Healthcare Solutions Lead) in the Healthcare vertical, you will guide prospects and customers through the definition and delivery of healthcare datasets. Your job will be to understand what customers are building, identify the data that best fits their needs, and assemble and QA high-quality samples and final deliveries that meet their technical and conceptual specs. Along the way, you’ll ensure timelines and milestones are clearly communicated from the first stages of feasibility to the final data delivery. What You Will Own - Serve as the primary point of contact for customers, building long-term strategic relationships with them via collaboration around data and transparency around its delivery from Protege's network. - Lead end-to-end program management from data specification and preparation through QA and delivery, ensuring cross-functional coordination and on-time execution. - Work with Protege data partners to source cutting edge healthcare data into the Protege ecosystem. - Oversee the QA, packaging, and delivery of complex datasets (EHR, claims, radiology, pathology, unstructured text), ensuring HIPAA compliance in collaboration with privacy partners. Qualifications - Proven customer-facing experience: skilled at managing expectations, leading customer conversations, and delivering technical outcomes with clarity and confidence. - Bring an analyst-first mindset to challenges. You are an expert in using SQL and Python to query data to construct complex patient cohorts, analyze data readiness for model training, validate clinical coverage, and support other customer-specific needs. - Find satisfaction by bringing order to multiple simultaneous projects and masterfully juggle competing (and sometimes changing) priorities. - Deep expertise in various healthcare data modalities ranging from EHR, claims, radiology, pathology, and unstructured text. - Familiarity with privacy-preserving techniques of healthcare data. - Experience in healthcare AI, ML products, or enterprise data platforms. - Prior startup experience. - You treat those around you with kindness. Benefits - Be the connective tissue between Protege’s platform, our data, and our customers. - Build datasets that directly power the next generation of AI models. - Operate at the cutting edge of multimodal data — where human judgment meets machine intelligence.

• Contribute to the development and review of CRFs, data management plans (DMPs), and data validation specifications • Support database build activities and perform user acceptance testing (UAT) • Manage ongoing data cleaning activities, including query generation, tracking, and resolution • Perform data review to ensure accuracy, consistency, and completeness • Reconcile clinical data with external data sources (e.g., safety, imaging, core labs, device data) • Support interim data reviews and database freezes/locks • Track and report data management metrics (e.g., query aging, data entry timeliness, reconciliation status) • Participate in cross-functional study team meetings • Ensure data management activities comply with GCP, ISO 14155 (if applicable), and company SOPs • Contribute to inspection readiness and support audits as needed