2 Manipulating Jobs

Job Description: As a Data Scientist - Deputy Manager, your primary responsibility will be to implement solutions to problems using data analysis, data mining, optimization tools, and machine learning techniques combined with statistics. You will be tasked with building data-science and technology-based algorithmic solutions to address various business needs. In this role, you will design large-scale models utilizing Regression, Linear Models Family, and Time-series models. Additionally, you will be driving the collection of new data and refining existing data sources to enhance analytical capabilities. An essential aspect of your role will involve analyzing and interpreting the results of analytics experiments while applying a global approach to analytical solutions within a specific business area and across the enterprise. You should possess the ability to utilize data for Exploratory, Descriptive, Inferential, Prescriptive, and Advanced Analytics. Furthermore, sharing dashboards, reports, and analytical insights from data will be a key component of your responsibilities. Experience in visualizing large datasets is preferred and considered an added advantage. To excel in this position, you must have experience in solving analytical problems using quantitative approaches and a passion for empirical research aimed at answering challenging questions with data. Your expertise should extend to manipulating and analyzing complex, high-volume, high-dimensionality data from various sources. You should be proficient in applying a flexible analytic approach that yields results at different levels of precision and be able to communicate complex quantitative analysis in a clear, precise, and actionable manner. Technical Knowledge and Skills Required: - Expert knowledge of an analysis tool such as Pyspark and Python - Experience working with large datasets, with familiarity in distributed computing tools like Map/Reduce, Hadoop, Hive, etc. - Understanding of relational databases and SQL You're the right fit if: - Possess 5-8 years of experience in engineering or a related field - Demonstrated experience in solving analytical problems using quantitative approaches - Proficiency in manipulating and analyzing complex, high-volume data from various sources - Ability to apply a flexible analytic approach yielding results at varying levels of precision - Strong communication skills to convey complex quantitative analysis clearly and precisely - Expertise in analysis tools such as R and Python - Familiarity with working on large datasets and distributed computing tools How we work together: We believe in the power of collaboration and teamwork. For our office-based teams, working in-person at least 3 days per week is essential. Different roles may require full-time presence onsite at the company's facilities or in the field, typically at customers" or suppliers" locations. About Philips: Philips is a health technology company dedicated to providing quality healthcare accessible to all. Our mission revolves around the idea that every individual matters, and we are committed to ensuring that everyone receives the healthcare they deserve. Join us in making a difference in the lives of others by contributing to our impactful work. Learn more about our business, explore our vibrant history, and discover our purpose. If you find this role intriguing and possess most, if not all, of the required experiences, we encourage you to apply. You might be the perfect fit for this position or other opportunities at Philips. Learn more about our culture of impactful care and consider becoming part of our team.,

*** JOB DESCRIPTION *** KEY TASKS & RESPONSIBILITIES Perform the role of Lead Statistical Programmer for assigned projects Continually seek ways and means to provide more efficient and effective programming practices Develop specifications for SDTM datasets and SDTM datasets specifications for Clinical Data Analysis (CDA configuration) module in elluminate. Develop SAS programming to produce SDTM datasets and SDTM datasets for CDA configuration Develop specifications for Analysis Data Model (ADaM) datasets Develop SAS programming for ADaM datasets Responsible for developing and maintaining programming and validation specifications for TLGs as per requirements provided by the Biostatistician Create and maintain SAS programs to produce outputs to support the analysis and reporting of clinical trials Develop analysis datasets for trial level reporting and integrated safety and efficacy activities Program and QC data listings, summaries and Graphs as defined in SAP. If required, validate the statistical models used for programming Develop re-usable utility macros in order to build a macro library to support programming tables, listing and graphs for phase 1-4 clinical trial reporting Collaborate with the project team to ensure the deliverables are completed on time with high quality Create submission-ready standard data presentations and data sets using standard coding and following standard industry processes including SDLC Maintain all project documentation as required by SOP and Processes Mentor statistical programmers Ensure compliance with eClinical Solutions and industry quality standards, guidelines and procedures Other duties as assigned CANDIDATES PROFILE Education & Experience: Basic Science/Bachelor of Science degree (Master in Statistics or related science preferred) in health-related field, computer science or equivalent preferred Excellent knowledge of English Professional Skills Experience in Pharmaceutical/Biotechnology industry or equivalent IT consulting role preferred. Strong experience in preparations for NDA filings Strong knowledge of ICH/GCP guidelines, 21 CFR Part 11 and clinical trial methodologies Knowledge of coding dictionaries (WHO, COSTART, ICD-9, MedDRA) Knowledge of CDISC® related data models like SDTM, and ADAM. Experience of working on multiple clinical protocols at the same time. Excellent verbal and written communication skills Detail oriented, ability to multitask with strong prioritization, planning and organization skills Excellent team player Technical Skills Experience of extracting, manipulating, merging, summarizing, analyzing, and presenting data using SAS procedures Strong experience of base SAS programming, Proc SQL, macro programming, ODS and various SAS modules: SAS/GRAPH, SAS/STAT and other modules like SAS/Connect and SAS/Access is a must. Experience with reporting environments and reporting tools related to SAS programming in pharmaceutical industry; proc report, proc summary and proc tabulate. Strong experience in SAS programming in various phases of clinical trial. Experience in pooled data analysis and programming. Strong experience in efficacy reporting with regards to development of analysis sets and treating missing values. Experience in working with relational databases and performance tuning of SAS programming Experience with writing batch scripts and/or shell scripts is a plusRole & responsibilities Preferred candidate profile