Summary
Overview
Work History
Education
Skills
Additional Information
Timeline
Generic

Bhumika Maddineni

Frisco,TX

Summary

Effective at supporting team needs with high-quality code, subject matter expertise and collaboration skills. Skilled programmer and complex problem-solver experienced in data analytics and report writing.

Overview

8
8
years of professional experience

Work History

Senior Statistical Programmer

Amgen
10.2023 - Current
  • Assisted with the preparation of conference presentations and manuscripts for publication by providing accurate statistical analyses and results interpretation.
  • Extracting and sub-setting data from complex relational databases of electronic health record and administrative data, Real World Data including the Corporate Data Warehouse, and local study databases.
  • Applying statistical methods appropriate to clustered to the real world data type and translating aims into formal statistical hypotheses, development of statistical analysis plans, and performing power calculations, create reports of results
  • Optimized statistical programming processes by implementing advanced coding techniques, resulting in more efficient data analysis and reporting.
  • Developed high-quality programming scripts for complex clinical trials, ensuring accurate and timely completion of study results by streamlining data validation procedures to ensure the highest level of accuracy in study findings, reducing errors and minimizing rework efforts.
  • Collaborated with cross-functional teams to design effective statistical analysis plans, aligning project goals and timelines for successful execution and implemented rigorous quality control measures in all programming tasks to maintain the highest standards of data integrity and reproducibility.
  • Presented complex statistical findings in easy-to-understand formats for non-technical audiences, facilitating better communication among stakeholders.
  • Managed multiple concurrent projects effectively by prioritizing tasks based on criticality, resource availability, and target dates.
  • Adapted quickly to new software tools and technologies, maintaining an up-to-date skillset relevant to the evolving needs of statistical programming in clinical research.
  • Ensured data integrity and quality control by developing and implementing stringent SOPs for data management processes.
  • Analyzed real world, clinical and survey data by using statistical approaches such as longitudinal analysis, mixed effect modeling, logistic regression analysis and model building techniques.
  • Used SAS, SQL, R and Tableau to prepare tables and graphs to present clinical data or results by creating Tables, Listings and Figures (TFLs)
  • Produced high-quality written reports and presentations to communicate complex statistical findings to non-technical stakeholders, ensuring clarity and understanding.
  • Streamlined data collection processes by implementing efficient data mining techniques using SAS and SQL
  • Enhanced data visualization capabilities for better decision-making with the use of advanced BI tools.

Senior Biostatistical Programmer

UT Southwestern Medical Center
12.2020 - 09.2022
  • Collaborating with investigators to identify problems and provide statistical consultation including design of experiments of survey, analysis of data, interpretation of results and preparation of reports (TLFs).
  • Writing statistical portion of manuscript based on results of analysis and address manuscript revisions based on reviewer's comments.
  • Assisting client data organization, Performing statistical computations, graphical and tabular representations using EHR data, 5% Medicare, OPTUM and SEER MEDICARE data
  • Develops, maintains and modifies programs for in-house use.
  • Collaborating with investigators in grant development including statistical design of studies and preparation of statistical portion of grant proposal.
  • Performing non-statistical components of consulting such as providing analogous examples and explanations using non-technical terminology and helping researchers formulate and clarify research issues.
  • Keeping current in statistical methods and computing skills; researches to find techniques for non-standard statistical analyses.
  • Assist in different preclinical and patient recruiting by analyzing the inclusion criteria
  • Using appropriate statistical techniques such as Survival Analysis, GWR, Logistic, linear, GEE, GLM, Mixed models, competing risk and frailty analysis for different studies as appropriate
  • Working with different real world datasets (RWD) such as SEER Medicare, 5% Medicare, EHR, OPTUM, HRS, REDCAP, Survey and weighted data, DHS data
  • Using different statistical software's to manipulate and analyze the datasets, such as SAS, R, Tableau, SQL
  • Perform data analysis, Quality Control (QC), population selection and sample size calculations on different databases

Biostatistical Analyst

Geisinger Medical Center
05.2018 - 12.2020
  • Providing statistical consultations or collaborations with clinical principal investigators and CDC Epidemiologist, including determining the type of analysis for selected studies
  • Collaborated with MERCK, CDC, and NIH to work on different data and projects
  • Designing appropriate methods of data collection, preparing publication quality graphics, and assisting in manuscript preparation as needed
  • Working on different projects which involves survival analysis and cost-effective studies alongside with center for Pharmacy Innovations and research, and helping them with interpretation of results in the research
  • Communicating results of data analyzed in a clear and organized form and suggest any changes if necessary
  • Analyzing the percentage of patients covered under Medicare and private insurance during the treatment
  • Identify areas of improvement in the data collection process and suggest solutions for improvement in data collection
  • Working with longitudinal data for time series analysis, conducting case control matching using macros, and different cluster cohort studies by using MIXED models, HPMIXED and GLIMMIX methods
  • Performing sensitivity and specificity tests, calculating positive predictive values (PPV), and power analysis for sample size calculation, using tableau and SQL to generate reports and extract the data.
  • Creating maps using tableau with the US census population and congressional districts to visualize the distribution of the outcome in different studies
  • Creating dashboards and using live connections to update the data regularly without intervention.

Epidemiologist II

Texas Department Of State Health Services
03.2018 - 04.2018
  • Identified trends in infectious diseases by analyzing data and conducting thorough research.
  • Improved public health policies by providing expert advice and recommendations on disease prevention strategies.
  • Reduced the spread of illness by designing, implementing, and evaluating targeted intervention programs.
  • Enhanced community awareness of disease prevention through educational campaigns and presentations.
  • Data Analysis and surveillance related to chronic disease programs with emphasis on Diabetes
  • Identifying and examining various data sources and creating the hotspot maps for the state
  • Data collection, management, analysis, presenting the information along with writing data reports as required by CDE branch
  • Trained epidemiologist in the region 2/3 Texas on statistical techniques, ESSENCE and method of analysis. Supervised Biostatistician interns in completing the practicum.

Graduate Research Assistant

University Of North Texas Health Science Center
05.2016 - 04.2018
  • Enhanced research quality by conducting thorough literature reviews and synthesizing findings.
  • Streamlined data analysis processes for improved efficiency and accuracy in research results.
  • Contributed to the development of research proposals, securing funding for critical projects.
  • Collaborated with multidisciplinary teams to advance research objectives and achieve project milestones.
  • Conducting Surveillance and on-field mosquito trap setting and mosquito collection for testing West Nile virus in the Tarrant county, Fort Worth region
  • Performing laboratory work for mosquito sampling by identifying different species and preparing the samples for Polymerase Chain Reaction testing to determine the existence of virus
  • Data input, manipulation and analysis on Excel and submitting it to the county, for further testing
  • Identifying the West Nile virus positive areas and counseling the public regarding the use of effective mosquito repellents at the individual level
  • Educating public on the prevalence of the disease in the community including prevention methods
  • Performing data collection and data manipulation from a database for various projects such as analysis of EPA-Registered Mosquito Repellents, their attributes and efficacy, etc.
  • Carefully reviewing and writing the manuscript, publications, presentations and literatures in these projects for the publications
  • Data analysis and interpretation as well as research on different approaches on data integration using SAS and Excel
  • Using paired and unpaired test, regression analysis, creating trajectories and interpreting the results

Data Analyst Intern

Legacy Heart Care
06.2017 - 12.2017
  • Developed custom algorithms to optimize and automate data analysis processes, resulting in improved efficiency.
  • Conducted thorough data validation and cleanup, ensuring accuracy and reliability of datasets used for analysis.
  • Designed interactive dashboards for stakeholders, simplifying the interpretation of complex data sets and facilitating communication between departments.
  • Optimized SQL queries for faster processing times, increasing overall productivity within the team.
  • Identified, analyzed, and interpreted trends or patterns in complex data sets by finding correlations and visualizing with charts.
  • Performed ad hoc data investigations analysis as necessary.
  • Collaborative execution of study designs in regard with data retrieval and conduct exploratory analysis
  • Write and edit programs to clean, manage, merge and visualize the data
  • Analyzing and verifying the data, and identify a process that deals with the missing values in longitudinal data using multiple imputation
  • Determining the Long-term outcomes of patients treated with Enhanced External Counter-pulsation (EECP)
  • Using generalized linear models (GLIMIX, GEE models) for analyzing the data and interpreting the results
  • Obtain basic patient characteristics and outcome statistics focusing on the rate of hospitalization and determining if other trends exist in the determining the outcome of the treatment that would be helpful

Education

Master of Science - Epidemiology

University of North Texas Health Science Center At Fort Worth
Fort Worth, TX
12.2017

Bachelor of Science - Pharmacy

Manipal University of Pharmaceutical Sciences
Manipal, India
06.2015

Skills

  • Collaborative team player and Strong analytical skills
  • Data Exporting, Validation, Manipulation
  • Clinical trial experience
  • Data visualization tools such as Tableau and GIS
  • Time series analysis
  • Data integration techniques
  • Statistical analysis expertise with Real World Data (RWD)
  • Unix and Linux environments
  • Longitudinal data analysis
  • Big data analytics and Cluster analysis techniques
  • Power and sample size calculations
  • Data manipulation and Data Visualizations techniques
  • Regression Testing
  • Database management systems
  • Linear and nonlinear models
  • SAS, R, MySQL (Structured Query Language), Hadoop
  • SAS Macro Proficiency

Additional Information

  • Pruitt, S. L., Zhu, H., Heitjan, D. F., Rahimi, A., Maddineni, B., Tavakkoli, A., ... & Murphy, C. C. (2021). Survival of women diagnosed with breast cancer and who have survived a previous cancer. Breast cancer research and treatment, 187(3), 853-865.
  • Lalani, H. S., Johnson, D. H., Halm, E. A., Maddineni, B., & Hong, A. S. (2021). Trends in Physician Voting Practices in California, New York, and Texas, 2006-2018. JAMA internal medicine, 181(3), 383-385.
  • Vaddadi, S. M., Czelatka, N. J., Gutierrez, B. D., Maddineni, B. C., McCall, K. L., & Piper, B. J. (2021). Rise, and pronounced regional variation, in methylphenidate, amphetamine, and lisdexamfetamine distribution in the United States. PeerJ, 9, e12619.
  • Pruitt, S. L., Gerber, D. E., Zhu, H., Heitjan, D. F., Maddineni, B., Xiong, D., ... & Murphy, C. C. (2021). Survival of patients newly diagnosed with colorectal cancer and with a history of previous cancer. Cancer medicine, 10(14), 4752-4767.
  • Lussier, M. E., Graham, J. H., Tusing, L. D., Maddineni, B., & Wright, E. A. (2019). Analysis of community pharmacist recommendations from a transitions of care study. Journal of the American College of Clinical Pharmacy, 2(4), 349-356.
  • Pruitt, S., Gerber, D. E., Zhu, H., Heitjan, D., Maddineni, B., Singal, A. G., ... & Murphy, C. C. (2020). Survival among colorectal cancer patients with a history of previous cancer.
  • Rao, S., Essien, U. R., Powell-Wiley, T. M., Maddineni, B., Das, S. R., Halm, E. A., ... & Sumarsono, A. (2022). Association of US County-Level Eviction Rates and All-Cause Mortality. Journal of General Internal Medicine, 1-7.
  • Gionfriddo, M. R., Hu, Y., Maddineni, B., Kern, M., Hayduk, V., Kaledas, W. R., ... & Wright, E. A. (2022). Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial. JMIR formative research, 6(3), e33488.
  • Pruitt, S. L., Tavakkoli, A., Zhu, H., Heitjan, D. F., Gerber, D. E., Singal, A. G., ... & Murphy, C. C. (2022). Survival of cancer survivors with a new pancreatic cancer diagnosis. Cancer Medicine.
  • Zhang, H., Fanelli, M. G., Cush, C., Wagner, B., Grandizio, L. C., Young, A., ... & Cush, G. J. (2020). Geographic Distribution of Foot and Ankle Orthopaedic Surgeons Throughout the United States. Foot & Ankle Orthopaedics, 5(4), 2473011420S00086.
  • Chopra, A., Wojtowicz, M., Manikowski, J., Maddineni, B., Kirchner, L., Panikkar, R. P., & Vogel, V. G. (2019). Pathological complete response rate (pCR) in thirty-three women with triple-negative breast cancer (TNBC) treated with a neoadjuvant carboplatin-based regimen.

Timeline

Senior Statistical Programmer

Amgen
10.2023 - Current

Senior Biostatistical Programmer

UT Southwestern Medical Center
12.2020 - 09.2022

Biostatistical Analyst

Geisinger Medical Center
05.2018 - 12.2020

Epidemiologist II

Texas Department Of State Health Services
03.2018 - 04.2018

Data Analyst Intern

Legacy Heart Care
06.2017 - 12.2017

Graduate Research Assistant

University Of North Texas Health Science Center
05.2016 - 04.2018

Master of Science - Epidemiology

University of North Texas Health Science Center At Fort Worth

Bachelor of Science - Pharmacy

Manipal University of Pharmaceutical Sciences

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Bhumika Maddineni