Job Description

About Abbott For years, Abbott\u2019s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it\u2019s glucose monitoring systems, innovative therapies for treating heart disease, or products

About Abbott For years, Abbottu2019s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether itu2019s glucose monitoring systems, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine uFB01nger sticks. Abbott currently has an opportunity for a Data Scientist .u00A0u00A0 The Data Scientist will work on a team of data scientists and engineers to deliver data science solutions.u00A0 He or she will be responsible for working on complex problems in the field of life-saving implantable medical devices. He or she will use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging projects.u00A0 As a key member of the team, the candidate will develop solutions to curate and analyze large quantities of medical data.u00A0 The candidate will work on projects that provide solutions to internal and external stakeholders. u00A0u00A0The candidate will collaborate effectively with internal stakeholders and cross-functional teams in India and the US.u00A0 He or she will present solutions and insights in concise and effective manner to technical and non-technical audiences. About This Role In the u201CData Scientist u201Crole, you areu00A0responsible for managing the acquisition, processing and curation of non-Abbott Medical Devices sourced observational real-world data (RWD), including clinical, insurance claims, disease registry, electronic health/ medical records (EHR/EMR) and syndicate corporate internal metadata & data. u00A0Youu2019ll manage a wide portfolio of data types, with a goal of supporting diverse analyses across R&D.u00A0 You will ensure data transfers follow quality standards and coordinate with other stakeholders in MEDICAL DEVICES COMMERCIAL, SCIENTIFIC, CLINICAL, REGULATORY AND QUALITY TEAMS to ensure acquisitions satisfy expected analysis plans.u00A0 In addition, youu2019ll program analyses of the RWD, working with your observational data sciences colleagues, and stakeholders across Abbott Medical Devices, including epidemiologists, translational biologists, biomarker scientists and biostatisticians.u00A0 These analyses will provide a better understanding of disease natural history, incidence/prevalence, co-morbidities, treatment patterns, and health and safety outcomes in u2018real worldu2019 patient populations, across a wide variety of serious and unmet diseases. Your work will have great impact to research and early development, clinical development pipeline and marketed products. What Youu2019ll Do u00A0As a Data Scientist you will: Conduct analyses pertaining to the application of the observational RWE data for diverse stakeholders, including Epidemiology, Value & Access, HEOR, Statistics, Digital Transformation these include specific epidemiology, health outcomes and other observational studies to better understand disease natural history, incidence/prevalence, co-morbidities, treatment patterns, and health and safety outcomes in u2018real worldu2019 patient populations. Ensure data transfers follow quality standards and coordinate with other stakeholders in MEDICAL DEVICES COMMERCIAL, SCIENTIFIC, CLINICAL, REGULATORY AND QUALITY TEAMS to ensure acquisitions satisfy expected analysis plans. Define and implement data transfer, quality control and curation processes, and maintain the data quality pipeline. Work with other Global Data Sciences team members to ensure consistency of quality control methods and processes across disparate types of data sourced external to Abbott Medical Devices. Advise on the associated analyses plans using information developed in the execution of the data quality pipelines. Ensure information is surfaced to ensure the externally sourced data is fit for purpose. Collaborate with external vendors, Abbott Medical Devices partners and external organizations responsible for collecting the data. Develop systems, processes, and tools (pipelines) which impact enterprise use of our data assets and confirm data quality.u00A0 Who you are You love analytics and are passionate about using observational real-world data to drive meaningful insight that inform the science that will defeat devastating cardiovascular & neurological diseases. u00A0You love learning new technological skills and collaborating with your team and stakeholders to make us leaders in the research and development of medicines to transform neuroscience to benefit society.u00A0Qualifications Required Skills A Bacheloru2019s degree or Higher in Computer Science, Biostatistics, Data Science, Life Sciences, Epidemiology, Bioinformatics, Clinical Informatics, or similar technical fields Minimum of 3 Years up to 7 years of Healthcare Statistical Data Analysis methods such as Statistical Analysis Plan, Inputs to Protocol, Study/Experiment Design, Sample Calculation, Feasibilities, Survival Analysis, Prevalence, PCAs, u00A0, Regression, Classification, Clustering, Decision Trees, Random Forest etc. is desirable Experience developing and implementing process and data standards and develop Analysis Datasets, Mock Shells, Table, Listing, Figures and validate them to support analysis Review of the clinical study report to ensure statistical integrity in the reporting of the results Interpret analysis and craft statistical sections of integrated report Experience using hardware and software used to curate, process and analyze data Expertise in at least one of these Big-Data/Analytics coding languages (R,u00A0Python, SQL, Azure/Data Bricks etc.) Knowledge of data analysis and trending and familiarity with statistics and be able to use Descriptive, Inferential, Predictive and Prescriptive Statistics models/methods to solve data problems Strong Analytical skills, and ability to effectively lead, collaborate and communicate across diverse group of observational RWE data stakeholders (scientific, technical, operational) Deep understanding of drug development and biopharmaceutical industry, with emphasis on role of observational RWE data Preferred Skills Masteru2019s in Computer Science, Biostatistics, Data Science, Life Sciences, Epidemiology, Bioinformatics with 3 years of experienceu00A0 5+ years relevant work experience with a focus on clinical, observational or RWE data analysis through ingestion, curation, exploration, mining, and insights generation would be Exposure to Medical devices, Cardiovascular, neurology/ neuroscience will be added on Experience establishing and managing relationships with external vendors and organizations for the acquisition and analysis of observational RWD