Role Description We are seeking a Freelance Data Scientist with availability to handle multiple projects, who can lead complex data initiatives, design robust models, and influence product and business decisions through data. This position starts as a part-time position and has the potential to become a full-time employee depending on performance. Hourly salary will be determined based on experience and skill level. This role requires deep expertise in statistics, machine learning, and data modeling, along with the ability to mentor others, define best practices, and work closely with engineering, product, and leadership teams. Exposure to modern AI and LLM-based systems is a strong plus. Qualifications - Expert-level proficiency in Python (Pandas, NumPy, Scikit-learn) - Strong foundation in statistics, probability, and linear algebra - Extensive experience with machine learning techniques (regression, classification, clustering, time-series, anomaly detection) - Strong hands-on experience with SQL and relational databases - Experience working with large datasets and complex data pipelines - Deep understanding of model evaluation, bias/variance trade-offs, and performance monitoring - Proven experience taking models from development to production Requirements - Lead end-to-end data science projects from problem definition to production deployment - Design, build, and optimize advanced statistical and machine learning models - Analyze large-scale, structured and unstructured datasets to generate actionable insights - Define data science best practices, modeling standards, and evaluation frameworks - Design and analyze experiments (A/B tests, causal analysis, hypothesis testing) - Partner with product, engineering, and business stakeholders to influence strategy and roadmap - Review and improve existing models for accuracy, scalability, and robustness - Mentor junior data scientists and review analytical work - Clearly communicate complex findings to senior stakeholders and leadership - Ensure data quality, reproducibility, and documentation across projects Benefits - Hands-on experience with Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar - Experience integrating LLM APIs into production systems - Strong understanding of prompt engineering and output evaluation - Experience with embeddings, semantic search, and vector similarity techniques - Knowledge of Retrieval-Augmented Generation (RAG) architectures - Experience working with vector databases (Pinecone, FAISS, Weaviate, Milvus, etc.) - Awareness of AI risks such as hallucinations, bias, security, privacy, and cost optimization Education - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field - Equivalent real-world experience is highly valued

• Support large-scale data analysis • Evaluate product and program performance • Enable data-driven decision-making across the organization • Work closely with Product, Engineering, and Business teams to deliver actionable insights • Contribute to the development of reliable internal data infrastructure • Analyze user behavior and engagement trends • Design metrics and analytical frameworks to evaluate feature performance • Develop and deploy models for prediction and segmentation • Build feature pipelines and implement model monitoring • Establish consistent metric definitions and reporting standards • Promote best practices in data governance and reproducible analytics

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description JOB DESCRIPTION: - The lead biostatistician must have demonstrated the ability to independently and successfully consult and collaborate on short-term and long-term clinical research studies and demonstrate the skills necessary to serve as key personnel on sponsored research (i.e., serve as a Co-Investigator on a NIH grant). - Thrives in a team science environment. - Substantive input into the overall organization and presentation of clinical manuscripts (prepare first draft of the Results section, write statistical methods section, address reviewer issues about the analysis) Active participation in grant preparation on design and approach plus protocol development and study implementation after funding is an expectation - Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals. - Provides input to standard operating procedures development and review and helps ensures good clinical practice guidelines are followed Analyzes data using extensive knowledge of statistical software (SAS, R). - Administrative roles include recruiting, training, supervising, evaluating and retaining masters¿ level staff. - Mentor or teach one-on-one, and provide ad hoc training and targeted lectures as required to build a collaborative program - Acts as a lead statistician for clinical research projects; - Participates in protocol team conference calls and meetings - Assist clinical investigators in designing studies, writing grant proposals, managing data, conducting statistical analyses, and writing manuscripts - Participates in study design and sample size considerations, designs and reviews Case Report Forms, develops and reviews randomization plans, and writes statistical analysis plans (SAP). - Monitors data collection, institutes procedures to assure data quality and helps guarantee study protocols are followed appropriately. - Trains and mentors junior staff statisticians. Supervises the work of graduate research assistants. - Trains clinical personnel on data collection issues in clinical studies. - Takes an active role in drafting the Manual of Procedures for prospective clinical studies. - Administrative roles include recruiting, training, supervising, evaluating and retaining masters level statisticians. MINIMUM QUALIFICATIONS: - A master's degree in statistics, biostatistics, computer science, or a related field and 8 years of experience as a biostatistician, preferably in an academic setting, - OR an equivalent combination of education, training, and/or experience. - Proficiency in modern high level statistical languages such as R or SAS or Python. - Database management experience preferred. - Excellent organizational skills. Excellent oral and written communication skills. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Cencora is seeking a Senior Manager, Pharmacometrics and Data Sciences to apply his/her knowledge in pharmacometrics and modelling and simulation (M&S) to quantitative pharmacology and sciences in non-clinical and clinical pharmacokinetic (PK) / pharmacodynamic (PD). This role is remote based in the United States of America. As Senior Manager, Pharmacometrics & Data Sciences you will contribute to the development and execution of pharmacometrics Model-informed Drug Development (MIDD) approaches that support drug development and regulatory submissions. The ideal candidate will have a strong background in pharmacometrics and quantitative pharmacology modeling, with demonstrated project management skills. This role will involve cross-functional collaboration with internal and external stakeholders to ensure the successful application of quantitative modeling and simulation techniques to optimize drug development programs. Responsibilities: - Development, execution and interpretation of pharmacometric analyses, including population PK and PK/PD models, Non-Compartmental Analysis (NCA), exposure-response modeling, clinical trial simulations. Technical Expertise - Develop and validate pharmacometric models to support dose selection, trial design, and decision-making. - Analyze and interpret complex pharmacokinetic (PK) and pharmacodynamic (PD) data, integrating results with clinical and preclinical data. - Author and review technical protocols, analysis plan, reports and scientific publications. Review regulatory documents in area of expertise. - Propose innovative quantitative pharmacology approaches and optimize modeling processes. Cross-Functional Collaboration - Collaborate with clinical pharmacology, biostatistics, regulatory, and clinical development teams to align pharmacometric strategies with program objectives. - Communicate modeling results and their implications to cross-functional teams and senior management - Represent the company in meetings with academic institutions and industry forums as a pharmacometric subject matter expert. Project Management - Oversee multiple pharmacometric projects, ensuring timely delivery of high-quality outputs. - Ensure contact with the client - Manage project oversight, quality and budget control. - Ensure compliance with regulatory guidelines and internal quality standards #LI-VC1 Education: - Pharm D or Ph.D. in Pharmaceutical Sciences or Biomedical Engineering, with specialization in pharmacometrics - A Master’s degree with substantial relevant experience will also be considered. Work Experience: - 3-5 years of experience in pharmacometrics within the pharmaceutical or biotechnology industry. - Demonstrated expertise in population PK/PD modeling, exposure-response analysis, and clinical trial simulations. Skills and Knowledge: - Proficiency in pharmacometric software (essentially NONMEM and R, PKanalyx or Phoenix Winonlin). Knowledge of PKSim, Monolix, MATLAB is a plus. - Strong analytical and problem-solving skills, with the ability to synthesize complex data into actionable insights. - Good written and verbal communication skills, with the ability to present complex concepts to diverse audiences. - Organizational and project management skills, with the ability to manage multiple priorities. - Knowledge of the pharmaceutical industry, including preclinical and early clinical development and the underlying pharmacometrics issues - Minimum knowledge of basic of IT - Autonomous, concentrated and high-quality work - Ability to work in team and manage more junior people in the context of an international team working remotely - Sense of responsibility - Knowledge of English What Cencora offers We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora Full time Salary Range* - *This Salary Range reflects a National Average for this job. The actual range may vary based on your locale. Ranges in Colorado/California/Washington/New York/Hawaii/Vermont/Minnesota/Massachusetts/Illinois State-specific locations may be up to 10% lower than the minimum salary range, and 12% higher than the maximum salary range. Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned . Affiliated Companies: Affiliated Companies: PharmaLex US Corporation