113 R Programming Jobs

Job Description: You will apply Data Modelling, Data Mining and Data Segmentation techniques on the available data to identify and Analyze trends or patterns in complex data sets using statistical methods. You will interpret the data based on the analyzed trends and patterns, collaborate with the management to prioritize business requirements, and identify improvement opportunities in the business processes. Key Responsibilities: - Apply Data Modelling, Data Mining and Data Segmentation techniques on the available data - Identify and Analyze trends or patterns in complex data sets using statistical methods - Interpret the data based on the analyzed trends and patterns - Collaborate with the management to prioritize business requirements - Identify improvement opportunities in the business processes Qualifications Required: - Experience of 3-5 years as a Data Analyst - Experience in data-driven problem solving - Excellent in Data modelling, Data Mining and Data Segmentation Methods - Excellent analytical, business modelling, and problem-solving skills - Advanced Microsoft Excel skills - Experience of working with MS SQL - Knowledge of R Programming - Experience of using XML, ETL frameworks and JavaScript - Excellent in creating queries and reports - Good Knowledge of Microsoft office - Excellent communications skills (Verbal and Written),

As a Senior Expert Data Science - Gen AI Engineer at Novartis, you will be at the forefront of transforming healthcare through data. Your role will involve leading the development of advanced analytics and automation solutions to address complex business challenges and drive innovation in life sciences. By applying statistical models and machine learning algorithms to structured and unstructured data, you will uncover insights that can improve patient outcomes. Collaboration with cross-functional teams, managing project budgets and timelines, and mentoring junior team members are key aspects of this role. Key Responsibilities: - Lead the development of advanced analytics and automation solutions to address critical business challenges - Collaborate with cross-functional teams and external partners to deliver data-driven insights - Apply statistical models and machine learning algorithms to structured and unstructured life science data - Translate complex findings into actionable business intelligence using smart visualization and storytelling - Manage project budgets, staffing, and timelines with minimal supervision - Evaluate and implement new technologies and scientific software to enhance data practices - Mentor junior team members and contribute to a culture of innovation and continuous learning Qualifications Required: - A university degree in Computer Science, Mathematics, Statistics, Engineering, or Economics with a specialization in Information Technologies - Minimum 15 years of experience in data science, with proven global solution delivery - Strong expertise in statistical modeling, machine learning, and deep learning techniques - Proficiency in Python and R programming languages for advanced analytics - Demonstrated ability to manage data lifecycle and ensure data quality and governance - Experience working with diverse life science data sources and real-world evidence - Excellent communication skills to translate complex data into actionable insights Benefits & Rewards: - Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary - Risk Life Insurance (full cost covered by Novartis) - 5-week holiday per year - Cafeteria employee benefit program - Public transportation allowance - MultiSport Card - Employee Share Purchase Plan Novartis is committed to building an inclusive work environment and diverse teams. By joining Novartis, you will be part of a community that collaborates, supports, and inspires each other to achieve breakthroughs that change patients" lives. If you are ready to contribute to a brighter future, you can find more information about Novartis Business Services at https://www.novartis.cz/.,

As a Senior / Principal Stat Programmer at Syneos Health, you will play a crucial role in accelerating customer success by applying your expertise in SAS/ R and SQL programming. Your contributions will directly impact the development of novel FDA approved drugs and EMA authorized products, shaping the future of drug development processes globally. **Key Responsibilities:** - Utilize your 5+ years of experience in Advanced SAS/ R programming and SQL to develop programs and provide statistical programming support for statisticians or for client/business use. - Demonstrate proficiency in R programming, R Package development, and a strong knowledge of SQL. - Enhance your skills by leveraging hands-on Python knowledge alongside R programming. - Familiarity with TIBCO Spotfire visualization tool or similar tools for creating calculated columns, markings, filtering, and document properties is advantageous. - Apply your understanding or hands-on experience in the Clinical domain and drug development process (Phase I through IV), Clinical Data Management. - Showcase your leadership capabilities by managing multiple studies and effectively communicating with stakeholders. **Qualifications Required:** - Bachelor's or Master's degree in a relevant field. - 5+ years of experience in Advanced SAS/ R programming and SQL. - Proficiency in R programming, R Package development, and good knowledge of SQL. - Hands-on Python knowledge is a plus. - Familiarity with TIBCO Spotfire visualization tool or equivalent. - Understanding or hands-on experience in the Clinical domain and drug development process. - Strong written and verbal communication skills. Get ready to be a part of a dynamic team at Syneos Health, where your expertise will drive innovation and change lives. Your role as a Senior / Principal Stat Programmer will not only contribute to the success of the organization but also help shape the future of the biopharmaceutical industry. Learn more about Syneos Health and how you can make a difference by visiting [Syneos Health](http://www.syneoshealth.com).,

As a Business Analytics Analyst, you will be responsible for developing client-centric analytical solutions focused on business issues. Your key responsibilities will include: - Developing analytical solutions with a client-first approach. - Leading and executing complex analytical projects such as building models and implementing solutions. - Applying segmentation techniques, hypothesis testing, predictive modeling, and statistical methodologies. - Managing relationships with stakeholders across departments and regions. - Developing project strategies, delegating tasks, and maintaining communication across teams. - Engaging in training, competency development, and internal organizational initiatives. You will report to the VP Business Growth and work closely with external stakeholders such as clients. The required technical skills for this role include proficiency in Python or R programming, Machine Learning & Statistical Modeling, P&L Forecasting, Product Pricing, Tableau, and Adobe Analytics (SiteCatalyst). Your soft skills should include the ability to work independently or in a team, excellent communication skills, critical thinking, and problem-solving abilities, as well as flexibility and initiative-taking. To qualify for this position, you need a Bachelor's Degree with 3 years of experience in data analytics or a Master's Degree with 2 years of experience. Hands-on experience in SAS and SQL, working with large datasets and data warehouses, and proficiency in relevant programming languages are essential. A strong background in Statistical Analysis is also required. Experience in Credit Cards, Retail Banking, or other domains is acceptable.,

1. Position Summary: Required candidates with around 4-6 years of working experience preferably in the valuation function of a life insurance company, having cleared at least 5 actuarial exams. The candidate is expected to perform monthly valuation work to comply with Indian GAAP, US GAAP and IRDAI regulatory requirements. Alongside, the candidate is also expected to support the implementation of IFRS17. 2. Key Responsibilities: Perform monthly valuation work per Indian Statutory requirements, prepare necessary summary reports of the monthly valuation results and explain movements in reserves. Perform monthly and quarterly solvency margin calculations in accordance with IRDAI requirements. Identify Individual and group life policy data issues and work with IT/Admin team to fix them. Maintenance of DCS tool and valuation data along with necessary compliance controls and audit checks. Preparing various quarterly and annual IRDAI submission pertaining to ARA, AAAR, Actuarial Forms BAP submission, public disclosures etc. Performing asset share roll-forward to manage profitability and reserves of Par business. Performing declared bonus calculations and assist in handling requirements of the WPC committee of the Company. Assist in handling queries from Peer Reviewer, Statutory Auditor & IRDAI on sufficiency of reserves and solvency positions. Perform an annual review of the best estimate valuation assumptions and update the assumptions documentation basis the experience analysis results and other analysis performed. Review the assumptions used in the model with those documented for valuation basis and reconcile the cash flows generated from the models by replicating them in spreadsheets. Standardize and document all the analysis process. Work on implementation of IFRS 17. 3. Job Specifications: A bachelor s degree with minimum 5 actuarial exams At least 4-6 years of working experience preferably in the valuation function of a life insurance company Sound knowledge of advanced MS Excel, VBA and R programming Knowledge of Actuarial software like Prophet, DCS etc. Prior knowledge of IFRS17 will be preferred. Conceptual thinker with strong analytical, data management skills, work attitudes to details and ability to manage multiple projects simultaneously Good communication and business skills to contribute to business results

A. Position Summary Required candidates with around 4-8 years of working experience preferably in the IFRS17 reporting of a life insurance company, having cleared at least 5-6 actuarial exams. The candidate is expected to support implementation of IFRS17. B. Key Responsibilities Implementation of IFRS 17 reporting process from Actuarial perspective. New product assessment and methodology/assumption setting with respect to the IFRS 17 framework (including product coding for linked/non-linked products). Manage daily actuarial tasks primarily around financial reporting and related actuarial analytics. Propose and review new methodologies, assumptions, and model developments. Support implementation of new methodologies and assumptions; conduct UAT as per standards. Engage with internal and external stakeholders to prioritize and deliver business requirements and solutions. Ensure IFRS17 business requirements and solutions are properly implemented and tested. Support dynamic projects based on management needs from time to time. C. Job Specifications Bachelor s degree with minimum 5-6 actuarial exams completed. At least 4+ years of working experience in the IFRS17 function of a life insurance company. Strong command over advanced MS Excel, VBA, and R programming. Experience with actuarial software like Prophet, DCS; SAS is an added advantage. Analytical mindset with excellent data management, attention to detail, and ability to manage multiple projects simultaneously. Strong communication and business skills to drive results.

A. Position Summary Required candidates with minimum 5-6 years of working experience preferably in pricing of the Group business quotations of a life insurance or Reinsurance company. The candidate would be managing group pricing team of 4-5 team members and would report to the Pricing Actuary. B. Key Responsibilities Manage quotes for Employer-Employee group term life business. Manage quotes for Micro finance group affinity business and Group Credit Business. Engaging with reinsurance in getting best terms for providing the above quotes. Assisting in finalization of new reinsurance treaties, helping in seeking approvals from various stakeholders, documentation, and filing of final treaties to regulator and for internal book keeping. Performing analysis of business written on regular basis, calculating and publishing loss ratios. Pricing of new group products - preparing IRDAI and PMC documents as required. Preparation of Benefit Illustrations and calculators required for new product setup along with providing support with system UAT. Maintenance of group governance framework and other compliance checklists for audit checks. Liaise with other departments such as Products, IT, OPS etc. for various jobs for efficient project management. C. Job Specifications A bachelor s degree, progression in passing actuarial exams would be an added advantage. At least 5+ years of working experience preferably in the group pricing team of a life insurance or Reinsurance company. Sound knowledge of advanced MS Excel, VBA, and R programming. Knowledge of actuarial software like Prophet, DCS etc. would be an added advantage. Conceptual thinker with strong analytical, data management skills, attention to detail, and ability to manage multiple projects simultaneously. Good communication and business skills to contribute to business results.

A. Position Summary Required candidates with around 5-6 years of working experience preferably in the valuation function of a life insurance company, having cleared at least 5 actuarial exams. The candidate is expected to perform monthly valuation work to comply with Indian GAAP and IRDAI regulatory requirements. Alongside, the candidate is also expected to support the implementation of IFRS 17. B. Key Responsibilities Perform monthly valuation work per Indian Statutory requirements, prepare necessary summary reports of the monthly valuation results and explain movements in reserves. Perform monthly and quarterly solvency margin calculations in accordance with IRDAI requirements. Identify Individual and group life policy data issues and work with IT/Admin team to fix them. Maintenance of DCS tool and valuation data along with necessary compliance controls and audit checks. Prepare various quarterly and annual IRDAI submissions including ARA, AAAR, Actuarial Forms, BAP submission, and public disclosures. Perform asset share roll-forward to manage profitability and reserves of Par business. Perform declared bonus calculations and assist in handling requirements of the WPC committee of the Company. Assist in handling queries from Peer Reviewer, Statutory Auditor & IRDAI on sufficiency of reserves and solvency positions. Conduct annual review of best estimate valuation assumptions and update documentation based on experience and analysis results. Review assumptions used in the model and reconcile model-generated cash flows by replicating them in spreadsheets. Standardize and document all analysis processes. Work on implementation of IFRS 17. C. Job Specifications A bachelor s degree with minimum 5 actuarial exams. At least 4-6 years of working experience, preferably in the valuation function of a life insurance company. Sound knowledge of advanced MS Excel, VBA, and R programming. Knowledge of Actuarial software like Prophet, DCS, etc. Prior knowledge of IFRS 17 will be preferred. Conceptual thinker with strong analytical and data management skills, attention to detail, and ability to manage multiple projects simultaneously. Good communication and business skills to contribute to business results.

Role Overview: As a Lead Statistical Programmer, you will be responsible for overseeing programming activities for clinical trials, regulatory submissions, and integrated analyses. Your role will involve leading a team, ensuring high-quality deliverables, and developing efficient programming standards to support drug development. Key Responsibilities: - Lead statistical programming activities for a compound or therapeutic area. - Manage, mentor, and guide a team of statistical programmers. - Create and validate analysis data sets (ADaM), tables, listings, and figures (TFLs) following CDISC standards. - Develop and validate Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) reports. - Ensure accuracy and consistency across clinical studies and integrated data. - Develop, test, and implement reusable standard programs and SAS macros to automate routine tasks. - Prepare reviewer guides, data definition documents, and other materials for regulatory filings. - Collaborate with cross-functional teams including Statisticians, Clinical Data Management, Medical Writing, Regulatory, and Clinical Operations. - Accurately estimate programming efforts and ensure timely project delivery. Qualification Required: - Strong proficiency in SAS programming; experience with R preferred. - In-depth knowledge of CDISC standards (ADaM, SDTM). - Experience with regulatory submissions (FDA, EMA) and clinical study lifecycle. - Knowledge of therapeutic areas such as Oncology, Immunology, Neuroscience. - Strong communication and leadership skills to guide teams and manage stakeholders. - Ability to handle multiple priorities and deliver high-quality results under deadlines.,

Role Overview: As a Lead Statistical Programmer in the clinical data field, you will be responsible for overseeing programming activities related to clinical trials, regulatory submissions, and integrated analyses. Your role will involve leading a team, ensuring the delivery of high-quality work, and establishing efficient programming standards to support drug development. Key Responsibilities: - Lead statistical programming activities for a compound or therapeutic area. - Manage, mentor, and guide a team of statistical programmers. - Create and validate analysis data sets (ADaM), tables, listings, and figures (TFLs) following CDISC standards. - Develop and validate Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) reports. - Ensure accuracy and consistency across clinical studies and integrated data. - Develop, test, and implement reusable standard programs and SAS macros to automate routine tasks. - Prepare reviewer guides, data definition documents, and other materials for regulatory filings. - Collaborate with cross-functional teams including Statisticians, Clinical Data Management, Medical Writing, Regulatory, and Clinical Operations. - Accurately estimate programming efforts and ensure timely project delivery. Qualification Required: - Strong proficiency in SAS programming with experience in R preferred. - In-depth knowledge of CDISC standards (ADaM, SDTM). - Experience with regulatory submissions (FDA, EMA) and the clinical study lifecycle. - Knowledge of therapeutic areas such as Oncology, Immunology, Neuroscience. - Strong communication and leadership skills to guide teams and manage stakeholders. - Ability to handle multiple priorities and deliver high-quality results under deadlines.,

Lead the design, development, and deployment of machine learning and NLP-driven solutions. Fine-tune & productionize Large Language Models (LLMs) and other deep learning solutions. Build robust ML-powered web apps, chatbots, & scalable microservices. Required Candidate profile Proficient in Python &relevant libraries. Exp in NLP, LLM fine-tuning. Exp of deep learning concepts (word embeddings, CNN, RNN, LSTM). Exp working with both structured and unstructured data.

As a Senior in the Quantitative and Commodities Center at EY, you will have the exciting opportunity to work on risk management modeling, portfolio analysis, valuation, and data science activities. Your role will involve developing new financial models and analytics to meet clients" needs, covering a range of commodities and commercial objectives. You will be part of a team of quantitative and commodities professionals with significant industry experience, providing you with opportunities to learn and develop your quantitative skills. Key Responsibilities: - Advise clients on advanced practices and market behavior using a commercial industry perspective - Develop quantitative financial models for commodity and financial contracts, implementing market factor simulation techniques and stochastic methods - Enhance proprietary valuation models and leverage machine learning techniques for analysis on commodity instruments - Present results internally and externally using modern data visualization tools - Write client reports describing work performed, recommendations, and outcomes - Problem solve under uncertainty to adapt existing approaches to new markets and client objectives - Work collaboratively in teams and independently with an adaptive, flexible approach to problem-solving Qualifications Required: - Bachelor's degree with two years of related work experience or graduate degree with one year of related work experience in quantitative disciplines - Proficiency in VBA programming, R or Python programming, and Microsoft Excel - Familiarity with derivatives pricing models, market factor simulation techniques, and numerical methods - Strong interest in financial and commodity markets - Ability to work within budget and schedule in a fast-paced environment - Strong work ethic, communication skills, and willingness to embrace new challenges - Flexibility and willingness to travel occasionally - Completion of an approved certification within 2 years of hiring At EY, the focus is on building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams across 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate in various sectors including assurance, consulting, law, strategy, tax, and transactions.,

Role Overview: As a Senior Statistical Programmer at ProcDNA, you will leverage your advanced SAS and R programming skills along with proficiency in CDISC standards to support or lead one or more Clinical studies. You will be part of a passionate team that focuses on creating game-changing Commercial Analytics and Technology solutions for clients globally. Innovation is not just encouraged at ProcDNA, it is ingrained in our DNA. Key Responsibilities: - Having 6+ years of experience in SAS & R Programming - Hands-on experience with SDTM, ADAM, TLF including safety and efficacy analysis - Experience with CRF annotation, creation of datasets, and specs creation - Submission experience is a plus (define.xml, P21, ADRG, SDRG) - Able to lead 1 study under supervision - Demonstrates strong programming and domain expertise - Ability to execute a wide range of programming activities with minimal supervision - Identifying gaps in current programming best practices and offering suggestions - Ensuring adherence to standards and having an awareness of evolving industry standards - Developing an understanding of all applicable policies and procedures - Completing programming activities under supervision - Taking responsibility for timely completion of all assigned development tasks - Understanding and applying a basic knowledge of the industry Qualifications Required: - Experience working with RWD for use in pharmacoepidemiology research with practical knowledge in biostatistics applied to clinical/epidemiological research - Expertise in commonly used Real World Databases (Optum, Marketscan, Flatiron, JMDC, etc.) within the Real World landscape - Proficiency in R with expertise in other programming languages such as SQL or Python - Familiarity with AI/ML, data visualization, and reporting tools (Note: Additional details about the company are not provided in the job description),

You are being hired by a TOP MNC for the position of PLSQL / SQL Developer in the Pharmaceutical, Biotech, Life Science, CRO domain. The job location is in Bangalore, and the experience required is between 3 to 9 years with a notice period of Immediate to 45 days. The shift timings will be General / UK shifts, and it is a work from office opportunity. **Role Overview:** As a PLSQL / SQL Developer in the Pharmaceutical, Biotech, Life Science, CRO sector, your main responsibilities will include: - Developing clinical trial reports using SAS/ J-review / Congnos / SQL / PLSQL as per the study requirement. - Identifying and raising protocol deviations in the database. - Performing edit check validation by creating test cases and writing test scripts. - Carrying out database validation (UAT) against the specified CRF/ECRF. - Managing clinical data management projects. **Key Responsibilities:** - Experience of 3+ years in PLSQL / SQL within the life science domain. - Building reporting and analytics solutions. - Knowledge of clinical trials. - Flexibility to work in shifts. - Ability to establish strong client relationships. **Qualifications Required:** - Bachelors degree in Statistics, Biostatistics, Mathematics, Computer Science, Information Technology, or related field. - Graduate and postgraduate qualifications. - Skillset in SAS Clinical, Oracle Procedural Language Extensions to SQL (PLSQL), Python, R Programming, and Clinical Database Programming. - Adaptable and flexible with the ability to perform under pressure. - Strong problem-solving skills and agility for quick learning. If you are interested in this opportunity, please share your resume with Asha at asha.g@inspirationmanpower.co.in or contact her at 7624836555.,

The candidates selected are to teach undergraduate and postgraduate courses in computer sciences or similar branches, supervise UG/PG/PhD students in their projects/thesis both in the lab and as a co-curricular activity, as well as participate in building linkages and driving cooperation with industry. Functional Area

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Were a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isnt just encouraged, its ingrained in our DNA. What we are looking for: As a Senior Statistical Programmer, you will leverage your advanced SAS /R programming skills and proficiency in CDISC standards (SDTM , ADaM, TLF with both safety and efficacy analysis) to support or lead one or more Clinical study. Must have: Having 6+ years of experience in SAS & R Programming Hands-on experience with SDTM, ADAM, TLF with both safety and efficacy analysis. Experience with CRF annotation, creation of datasets, and specs creation Submission experience is a plus (define.xml, P21, ADRG, SDRG) Able to lead 1 study under supervision Able to demonstrates strong programming and domain expertise Having ability to execute a wide range of programming activities with minimal supervision. Able to identify gaps in current programming best practices and may offer suggestions Able to ensure adherence to standards and has an awareness of evolving industry standards Develop understanding of all applicable policies and procedures Completes programming activities under supervision Takes responsibility for timely completion of all assigned development task Understands and applies a basic knowledge of industry Additional Skills: Experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research. Expertise in some of the most commonly used Real World Databases (Optum, Marketscan, Flatiron, JMDC etc) within Real World landscape Expertise in R with proficiency in other programming languages such as SQL, or Python. Familiarity with AI/ML, data visualization and reporting tools.

We are seeking a senior Data Science Engineer / Trainer to take on the direct responsibility for all training activities within various areas such as regular training programs, campus programs, and student projects. Your role will involve conducting classes, developing projects, providing training, evaluating progress, supervising, and mentoring junior trainees. As a senior Data Science Engineer / Trainer, you will be responsible for delivering advanced training sessions in data science. The topics covered will include Python Programming for Data Science, Mathematics & Statistics for AI, AI Ethics, Data Access, Handling and Visualization, Data Analysis with Python, Data Visualization with Python, Tableau, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision (CV), Full Stack Development, Generative AI, R Programming, Scala & Spark. You will be expected to customize training programs to cater to the specific needs of technical professionals and individuals transitioning into the field of data science. Your role will also involve guiding participants through hands-on projects to enhance their understanding and practical application of data science techniques. Additionally, you will assist students in conceptualizing, planning, and executing academic projects that showcase their proficiency in data science. This is a full-time permanent position that requires you to work in person at the specified location.,

About the job: Key responsibilities: 1. Training college students in the subjects of robotics and AI 2. Identify demanding courses, plan, design, and create courses 3. Build the content for courses in both PDF and video format 4. Build standard lab exercises for each course using proprietary algorithms 5. Maintenance of reports regarding class and performance of students 6. Delivering highly interactive lectures in both online/virtual and physical formats 7. Developing innovative and quality content for lectures to help facilitate the delivery of lectures (Your work location will be Tanjavur) Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Thanjavur only are Mechanical Engineering students Salary: ₹ 2,04,000 - 2,70,000 /year Experience: 1 year(s) Deadline: 2025-10-10 23:59:59 Skills required: Python, Embedded Systems and R Programming Other Requirements: 1. Effective communication skills in English and the native language are preferred 2. Expert/good level of knowledge in Python and R About Company: Prag Robotics is a team of expert professionals combined with its judicious engineering workforce, providing techno education to schools & colleges and process enhancement solutions and technological services to industries.

We are looking for an experienced Senior Data Scientist to join our team at Aloola Solutions. As a Senior Data Scientist, you will be responsible for leveraging advanced analytics, machine learning, and data-driven decision-making to enhance business operations. The ideal candidate should have a solid background in data science, experience in handling large datasets, and a track record of delivering actionable insights. This role provides the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to drive innovation and growth. The primary responsibilities of this role include analyzing and interpreting complex datasets using advanced analytics techniques to identify trends, patterns, and actionable insights for supporting business decision-making. You will also be involved in designing, building, and optimizing machine learning models for forecasting and automation, as well as developing scalable solutions to process large volumes of data efficiently. In addition, you will be responsible for developing robust ETL pipelines to integrate data from multiple sources, ensuring data accuracy, quality, and availability for business users. Collaboration with stakeholders to define data-driven solutions, presenting findings and recommendations to technical and non-technical audiences, and mentoring junior team members in data science best practices are also key aspects of this role. The ideal candidate should possess expertise in Machine Learning Algorithms, Python or R Programming, Big Data Technologies (such as Hadoop, Spark, or equivalent), Data Visualization Tools (like Tableau, Power BI, or similar), SQL, and Data Modeling. A minimum of 7 years of experience in Data Science, Machine Learning, and Analytics is required, along with a proven track record of designing and deploying data solutions in production environments. Additionally, soft skills such as self-motivation, strong sense of responsibility, excellent communication skills, organizational abilities, and a collaborative attitude are essential for success in this role. A dynamic, cross-functional approach to work, a positive, solution-oriented mindset, and a passion for learning are also highly valued. This is a full-time position based at The Citadel, 6th floor 601-603, Opp. Star Bazaar, Adajan, Surat, Gujarat 395009. Please note that this is a Work From Office (WFO) only job type. If you meet the requirements and are excited about the opportunity to work with our dynamic team, please send your application to [email protected],

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are valued to help EY become even better. Join us to build an exceptional experience for yourself and contribute to creating a better working world for all. EY's Consulting Services is a unique, industry-focused business unit providing integrated services leveraging deep industry experience and strong functional and technical capabilities. The Data and Analytics team at EY's Consulting Practice solves complex issues and seizes opportunities to deliver better outcomes for businesses, now and in the future. As a Shiny R Developer, you will play a crucial role in developing high-quality solutions for real-world use cases. You should have 3-7 years of experience and possess the following skills and attributes: - Minimum 2 years of hands-on experience with basic and advanced R and R module development - Minimum 1 year of hands-on experience with Shiny for R/POSIT, developing applications for real use-cases - Experience with gargoyle, r6 classes, ggplot, dplyr - Proficiency in using DBI for postgres db interaction - Familiarity with testing tool "testthat" and working with websockets We are looking for individuals with commercial acumen, technical expertise, and a willingness to learn in a fast-moving environment. Joining our team means being part of a market-leading, multi-disciplinary group of professionals globally, working with leading businesses across various industries. Working at EY offers: - Inspiring and meaningful projects - Education, coaching, and personal development opportunities - Support, coaching, and feedback from engaging colleagues - Opportunities for skill development and career progression - Freedom and flexibility in handling your role EY is dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Join us in asking better questions and finding new answers to the complex issues facing the world today.,

As a Data Engineer Trainer/Big Data Trainer, you will be responsible for imparting knowledge and training on various technical aspects related to data engineering and big data. Your key responsibilities will include expertise in Data Mining and ETL Operations/Tools. It is crucial to have a deep understanding and knowledge of HDFS, Hadoop System, Map Reduce, RDD, Spark DataFrame, PySpark along with related concepts. You should also have experience in using Business Intelligence Tools such as Tableau, Power BI, and Big Data Frameworks like Hadoop and Spark. Proficiency in Pig, Hive, Sqoop, and Kafka is essential for this role. Knowledge of AWS and/or Azure, especially with Big Data Stack, will be an added advantage. You should possess a high level of proficiency in Standard Database skills like SQL, NoSQL Databases, Data Preparation, Cleaning, and Wrangling/Munging. Having a strong foundation and advanced level understanding of Statistics, R Programming, Python, and Machine Learning is necessary to excel in this role.,

As a Data Science Trainer at Naresh IT's KPHB & Ameerpet branches, you will be responsible for delivering high-quality training in Machine Learning, Deep Learning, R Programming, Python, Statistics, Hadoop, and other related topics. We are looking for candidates with a strong background in these areas and a passion for teaching. You should have a minimum of 5 years of experience in Data Science training, with a focus on classroom and online instruction. It is essential that you have a deep understanding of the subject matter and can effectively communicate complex concepts to students. This is a full-time position with a flexible schedule that includes day, evening, and morning shifts from Monday to Friday. The work location is in person at our Hyderabad, Telangana branches. Candidates must be willing to conduct classroom trainings at these locations. If you meet the requirements and are enthusiastic about sharing your knowledge and expertise with aspiring Data Scientists, we encourage you to apply for this exciting opportunity.,

In this vital role, you will be responsible for manipulating large databases and generating reports to partner with epidemiologists to explore and generate Real-World Evidence (RWE) from real-world healthcare data assets. The ideal candidate should possess a bachelor's degree and have at least six years of relevant career experience in statistical programming. Proficiency in SQL programming and either SAS or R programming is required. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: - Provide technical solutions to programming problems within CfOR - Lead and develop technical programming and process improvement initiatives within CfOR - Represent the programming function and participate in multidisciplinary project team meetings - Project manage programming activities, according to agreed resource and timeline plans - Ensure programming activities adhere to departmental standards and SOPs - Write and/or review and approve programming plans - Write and/or review and approve analysis dataset specifications - Review and approve key study-related documents produced by other functions, e.g., SAPs, CRF, Data Management Plan, etc. - Write, test, validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications, and other communications - Write, test, validate and execute department-, product- and protocol-level macros and utilities - Oversee the work of outsourced resources assigned to projects - Lead and/or participate in the development and review of CfOR policies, SOPs, and other controlled documents - Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings - Participate in the recruitment of programming staff - Actively participate in external professional organizations, conferences, and/or meetings - Provide input to and participate in intra-departmental and CfOR meetings - Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) - Manage staff performance and oversee staff assignments and utilization - Relevant statistical programming, systems engineering, or application programming experience in a clinical development or life sciences setting What We Expect Of You: We are all different, yet we all use our unique contributions to serve patients. The professional we seek is someone with the following qualifications. Basic Qualifications: - Doctorate degree OR - Masters degree and 4 to 6 years of relevant experience OR - Bachelor's degree and 6 to 8 years of relevant experience OR - Diploma and 10 to 12 years of relevant experience Preferred Qualifications: - Managerial experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation of resources in statistical programming projects - Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: - Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials - Team management - Global collaboration - Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery - Statistical programming: SQL required; SAS or R required; Python preferred - Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies: - Hands-on programming and lead role - Expert statistical programming knowledge using SAS or R - Required: SAS or R - Required: SQL - Preferred: Python - Excellent verbal and written communication skills in English - Ability to have efficient exchanges with colleagues across geographical locations - Agile project management - Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare - OMOP common data model - Drug development life cycle - Statistics and basic epidemiology: Incidence and prevalence - Required for Regulatory RWE role: CDISC (SDTM, ADaM) - Scientific / technical excellence - Oral and written communication, documentation skills - Leadership - Innovation - Teamwork - Problem solving - Attention to detail What You Can Expect Of Us: As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com.,

Phastar is a globally recognized biometric Contract Research Organization (CRO) that partners with pharmaceutical, biotechnology, and medical device companies to deliver high-quality biostatistics, programming, data management, and data science services. Accredited for excellence by Best Companies, Phastar is dedicated to fostering a rewarding work environment and is committed to ensuring employee engagement, workplace satisfaction, and a healthy work-life balance. With a presence in multiple countries worldwide, Phastar stands as a leader in specialized biometrics, emphasizing quality and technical expertise as its key values. As a clinical programmer with a strong background in SAS and R programming, you will play a crucial role in bridging legacy clinical trial systems with modern open-source solutions while adhering to CDISC standards and regulatory requirements. Your responsibilities will include converting existing SAS programs for SDTM and ADaM datasets, developing interactive applications using R Shiny, and creating parameterized R Markdown reports and Shiny dashboards for enhanced clinical data visualization. Moreover, you will design and implement CDISC-compliant data pipelines, conduct SAS-R validations, and support regulatory submissions, among other duties. The ideal candidate will possess over 8 years of SAS experience, proficiency in R programming and R Shiny, and a demonstrated ability to convert SAS programs to R. Additionally, a deep understanding of SDTM/ADaM implementations, clinical data checks, and clinical trial protocols is required. Knowledge of Python coding is considered a plus. Phastar offers a supportive and flexible work environment, structured training and development plans, and competitive salary and benefits. If you are passionate about quality, technical expertise, and contributing to cutting-edge data science techniques, this is an excellent opportunity to join a renowned CRO. This position is open for remote work and applications are welcome from candidates located in the UK and selected European countries. If you believe you have the necessary skills and motivation for this role, we encourage you to apply and be a part of our award-winning team at Phastar.,

Day-to-day responsibilities include but not limited to: Working on Insurance Linked Securities (ILS) Support for individual deal analysis and catastrophe event response Designing and maintaining data systems and databases Optimization and portfolio management Deal pricing and claims reserving Mining data from primary and secondary sources, then reorganizing data Using Statistical tools to interpret data sets Preparing reports Statistics: 1. Basic Probability pdf, cdf, mean, mode, median, standard deviation 2. Monte Carlo simulations 3. Extreme Value theory 4. Statistical concepts central limit theorem, VAR, TVAR (Expected shortfall) Who can Apply ? Candidates with Actuarial science (3+ actuarial papers), FRM, CFA, CA Inter or Statistics background. Well versed with storm statistical concepts. Proficient in Microsoft suite including advanced Excel Exposure to SQL and Python would be preferred Have relevant communication skills and multi-tasking skills and interests.