SUMMARY:

• Over nine years’ experience in statistical analyses and system engineering in Healthcare, focusing in Oncology, in addition to economic visual modeling. Meticulous, versatile, and experienced developer and statistician. Strong background in medicine, healthcare, and finance. Offering a unique, diversified combination of creativity with analytical prowess.
• Developed personalized micro software and self - sustaining predictive algorithms for Myeloma team in order to understand trends within the patient population, using the clinical data to identify and create a Myeloma profile based on neural network predictive model. This was also used to understand different markers that may lead to Multiple Myeloma, effectively allowing program to understand hidden patterns, thereby leading to better prescriptive analytics.
• Maximized profit by 200% through development of business database to better understand and approach customers based on mathematical network analysis. Statistical models were used to redesign distributed marketing campaigns to customers.
• Designed advanced data analysis procedures and management for Oncological Renal Macrobead Study (using carcinomas within beads implanted within patients to reduce malignant tumors) in order to provide better outcomes in patient survival. Executed individualized patient prognosis reports using the clinical data.
• Directed and supervised teams numbering up to 30 analysts and coordinators in statistical projects to ensure deadlines were met, and project operations workflow was optimum. Eight years leadership and management skills.

TECHNICAL SKILLS:

Statistical Software: SAS, Perl, SPSS, Hadoop, STATA, REDCap, Allscripts SCM, Medidata, SAS Studio, SAS BI

Operating Systems: UNIX (Linux, Solaris, AIX, HPUX, BSD), Windows, Ubuntu

Programming Software: Python, R, SAS Macro, R Studio

Database: Oracle, Redhat, Sybase, SQL, MySQL, PostgreSQL, PL/SQL

PROFESSIONAL EXPERIENCE:

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Confidential, NY, NY

Senior Data Scientist & Developer

Responsibilities:

• Developed and design uniquely specific database on Oracle server for clinical and research purposes
• Managed the framework of analytical tests and performance of operations within DB
• Acted as system administrator for Myeloma server, in addition to managing all databases
• Advanced system engineering and architecture of prototype software to be used exclusively for Myeloma program
• Provided statistical analyses such as elastic net predictive modeling, 3D visualization models of patient population
• Co-managed all data and study coordinators in their data management
• Actively provided data and program solutions, directing operating procedures
• Worked on several suites of software to continue managing all Myeloma databases and programs to ensure real time use without technical issues
• Built overall system architecture of information system, encompassing external and internal interface analysis and definition, as well as functional requirement allocations.
• Created SQL scripts to query SQL database; developed VB.NET/ASP.NET forms via SQL that significantly decreased data entry and transactional processing times.
• Supervised code reviews and ensured all solutions met architectural specifications.
• Interfaced with infrastructure group to supply application support requirements and issue resolution.
• Implemented generalized linear models including Poisson, logistic regression both simple and multinomial, conditional logistic regression matched case-control and discrete choice models
• Designed and analysis of efficient simple and complex multilevel factorial, response surface, mixture component, and optimal design tests
• Presented statistical methodology and patterns within patient population to hospital executives leading to implementation of new policies

Confidential, New York, NY

Scientific SAS Programmer & Analyst

Responsibilities:

• Directed team of 4 research coordinators for various projects
• Has used SDTM for Oncology clinical trials for submission to the Alliance for Trials in Oncology
• Provided in depth analysis and query auditing for the Clinical Data Interchange Standards Consortium
• Provided statistical programming and analysis for the Department of Healthcare Policy and Research
• Analyzed research data, including performing basic and advanced statistical analyses, and interpreting/translating results for non-statistical investigators.
• Wrote statistical analysis plans, standard operating procedures, and statistical reports.
• Conducted qualitative and qualitative epidemiological studies including: case-control, cross-sectional, meta-analysis, retrospective studies with expertise in environmental and hospital studies.
• Provided statistical expertise for various clients with cost-benefit analysis, decision trees, forecasting, optimization, marketing analysis, predictive modeling, production line standards, and risk analysis, including help with studies related to health care costs and health care initiatives.
• Facilitated cohort identification and preliminary analyses by running standardized queries against analysis-ready, standardized data
• Provided assistance in database design/programming and database management.
• Developed SAS macros, templates and utilities for data cleaning and reporting.
• Performed meta-analyses with dose-response using SAS/IML.
• Define programming requirements for assigned projects and ensure timely completion of deliverables.
• Provides biostatistics leadership, support, and technical insight.
• Perform statistical analysis of data using SAS procedures and R packages (such as mixed models, linear, logistic and nonlinear regression, multivariate regression, simulation modeling, best model selection, and survival data analysis)
• Created SAS programs to generate tables, listings, and figures and analysis datasets
• Developed SAS coding and table templates for preparing, processing and analyzing clinical data
• Established monitoring of data transfers for ongoing trials to identify study conduct or data quality issues.
• Validated the programmed analysis datasets, tables, listing and figures
• Ensured CRF meets the guidelines of the protocol and check for consistency and adequacy.

Confidential, New York, NY

Statistical Data Analyst

Responsibilities:

• Data management in Joint Clinical Trials Office with Hematology & Oncology.
• Managed 12 Data Managers and Research Coordinators in all divisions of Oncology
• Performed ad hoc data analysis, complex statistical analysis, data mining, econometric analysis, forecasting, statistical genetics, modeling, risk analysis, survival analysis, decision trees, optimization and simulations.
• Provided support for the submission to regulatory agencies including IRB, MQRP and NDA reports.
• Supervised the quality of the data collection and entry.
• Reviewed CRFs to ensure consistency with protocol and adequacy in collecting data to meet objectives defined in protocol.
• Lead problem solving and facilitates team(s) to identify biostatistics issues and propose solutions.
• Studied drug protocol, statistical analysis plan, clinical study report and case report forms.
• Served as one of the primary resources for data management, analytics, and reporting.
• Nonparametric bootstrapping methods used for generating subject data
• Utilized advanced programming techniques to write and automate simulation programs in R to evaluate
• Performance of propensity score matching method in multi-level longitudinal comparative effectiveness study in terms of bias reduction.
• Worked with relational databases and a strong understanding of data design, structure, and query logic to translate business requirements into reports using SQL
• Performs data manipulation and analysis using R, including simulations and predictive modeling.
• Researching advanced statistical approaches.
• Provided statistical support to reports and preparation of manuscript.
• Studied on the gene expression profile induced by polyphenols in inflammation-related disorders via microarray, bioinformatics and biostatistics analysis
• Used R for Bayesian statistics, including algorithmic calculations, such as Markov chains and stochastic processes for probability distributions
• Provides statistical consultations for medical researchers, assisting investigators in study design including
• Mine complex data sets to uncover details, connections, and patterns using R and Excel
• Deeply familiarized with the organization’s data structures in order to identify anomalies and resolve issues power/sample size, statistical analysis plan, data collection and quality, data analysis, and manuscript writing
• Implemented descriptive and inferential statistical techniques on daily basis, involving advanced models such as mixed-effects linear, logistic, and survival models
• Contributed to research design, methods, and results sections for research publications and grant applications
• Supervised HemOnc laboratory to ensure quality of data acquisition and other duties as assigned

Confidential, New York, NY

Data Specialist

Responsibilities:

• Provided clinical data management support to Rogosin IGT, Dialysis, and Research team
• Operational analysis, redesign, and management via Allscripts Sunrise Clinical Manager; in addition to utilizing Sunrise Patient and Physician Portals and ExitCare for workflow management.
• Developed database for URR, Hep B & C, HIV, and Rogosin Transplant IGT per clinical data specifications, including data validations, query logic, edit rules, and design.
• Query data inconsistencies and revise case report forms in compliance with standard operating procedures.
• Maintained organized documentation of patient results and transplant information based on confidential PHI (as per HIPAA regulations).
• Directed small team of programmers and developers to work on clinical database for transplant
• Assist in validating clinical trial data to ensure consistency, integrity, and accuracy, in addition to data mining.
• Performed clinical drug trials in conjunction with CRC’s and PIs to execute research plan as per protocols.
• Reviewed & submit information required for IRB approval, including amendments.
• Reviewed and analyze results with PI and CRC.
• Provided training, mentoring, and coaching of professional and technical staff on new techniques and programs
• Managed clinical trials through review, computerization, cleaning and auditing of clinical data and databases in compliance with standard operating procedures, client guidelines and regulatory guidelines.

Confidential, Bronx, NY

Lead Business Analyst

Responsibilities:

• Documented customer business functions and processes.
• Supervised and directed team of 6 analysts to examine business trends and determine more efficient business operations
• Investigated research to collect, assemble, and extract data for databases, in addition to being responsible for design/development of relational databases for collecting data.
• Managed configuration of organizational structure including creation of company, company, codes, chart of accounts, fiscal period variant, posting period variant and field status variant to use the SAP system.
• Created master data including general ledger accounts, vendor master, customer master, material master, house bank, asset master and primary cost elements to enable transactions to and from vendors and customers.
• Conducted cost/benefit analysis in management of business operational procedures.
• Maintained database design and maintenance of confidential information on clients for business security, including CRM
• Fully documented and managed business processes, invoices, and transactions
• Analyzed market trends in correlation to needs of customers to optimize profit
• Planned, organized, and conducted business process reengineering and improvement projects