1,254 R Programming Jobs

Role Overview: As an R Developer, your primary responsibility will be to migrate statistical programming assets from SAS to R to support clinical trial data analysis and reporting. This role is ideal for professionals with a strong background in hands-on R and R Shiny development. Life sciences and biostatistics experience would be beneficial for this position. Key Responsibilities: - Translate and optimize SAS code into efficient R scripts. - Develop and maintain R Shiny applications for data visualization and reporting. - Conduct statistical analyses for clinical trial data using R. - Offer technical guidance to junior team members. - Ensure compliance with regulatory standards and documentation best practices. Qualification Required: - Proficiency in R and R Shiny, with demonstrated project experience. - Good understanding of SAS and experience with SAS-to-R migration. - Strong problem-solving and teamwork skills. - Familiarity with CDISC standards (SDTM, ADaM) is a plus. Additional Company Details: This role also involves working at a Senior Developer and Architect level, requiring a strong skill set for backend solutioning by leveraging Python (Flask API) and possessing solid SQL knowledge. You should understand modular and microservice-based architecture, frameworks for capturing user activities like login/logout, and other audit-related activities. Additionally, you will be expected to lead a team, analyze requirements for technical implementation, and drive project delivery. Knowledge of documentation and processes across SDLC phases, including technical design, unit testing, code management tools like Git/Bitbucket, and deployment procedures, is essential. An understanding of AWS services for Python and application hosting is preferred, and experience with React and life sciences will be considered an advantage.,

As a Software Developer at our company, you will be responsible for conceptualizing and executing clear, quality code to develop the best software. You will need to test your code, identify errors, and iterate to ensure the delivery of quality code. Additionally, you will play a crucial role in supporting our customers and partners by troubleshooting any software issues they encounter. Key Responsibilities: - Detect and troubleshoot software issues efficiently - Write clear quality code for software and applications, and conduct test reviews - Develop, implement, and test APIs to enhance software functionality - Provide valuable input on various software development projects Qualifications: - Comfortable with programming languages and relational databases - Possess strong debugging and troubleshooting skills - Minimum of 3 years" development experience If you are passionate about software development, have a keen eye for detail, and enjoy problem-solving, we encourage you to apply and be a part of our dynamic team.,

Role Overview: As a Lead .NET Developer with strong experience in SignalR, your role at the company will involve collaborating with onshore and onshore/offshore technical teams to deliver solutions for the assigned portfolio under development. You will be participating in defining and delivering application systems, subsystems, and interfaces, validating technology assumptions, and evaluating alternatives. Demonstrating advanced full-stack web developer skills and fluency in various programming languages, databases, and back-/front-end programming will be a key part of your responsibilities. Additionally, you will actively execute development and maintenance of applications and microservices supporting online and digital commerce initiatives, understand the solution context, and collaborate with teams, customers, and suppliers to ensure alignment. Your role will also require practical experience in Agile and Kanban delivery models and managing complexities of large-scale solution development. Working closely with offshore and onsite development and QA resources to develop and deliver high-quality products will be essential. Key Responsibilities: - Collaborate with onshore and onshore/offshore technical teams to deliver solutions for the assigned portfolio under development. - Participate in defining and delivering application systems, subsystems, and interfaces. - Validate technology assumptions and evaluate alternatives. - Demonstrate advanced full-stack web developer skills and fluency in various programming languages, databases, and back-/front-end programming. - Actively execute development and maintenance of applications and microservices supporting online and digital commerce initiatives. - Understand the solution context and actively collaborate with teams, customers, and suppliers to ensure alignment. - Have practical experience in Agile and Kanban delivery models and managing complexities of large-scale solution development. - Work closely with offshore and onsite development and QA resources to develop and deliver high-quality products. Qualifications Required: - Strong experience across .NET Development, specifically in C#. - Strong experience with the Microsoft Azure platform for deploying applications. - Good working knowledge of ASP.Net and WebAPI (Full Framework and .Net). - Knowledge of serverless computing (AWS / Azure). - Database development knowledge, including SQL Server with Entity Framework, PostgreSQL, and MySQL. - Strong knowledge of SignalR. - Strong SQL skills to build complex stored procedures and debug SQL-related issues. - Knowledge of front-end development integration, specifically with React. - Exposure to an Agile and Kanban Development Methodology, Azure DevOps. - Other desirable skills include system and data conversions, Atlassian Suite knowledge (especially Jira), Python, Git, and SignalR.,

As a Financial Crime Detection and Prevention Specialist at Standard Chartered, your role will involve strategic thinking and technical expertise in designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. Your responsibilities will include: - Designing, developing, and deploying models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions - Performing data exploration, feature engineering, and ensuring accuracy, efficiency, and scalability of models - Supporting analytical processes to enhance red flag monitoring and optimizing cases for investigation through AI/ML models - Improving processes associated with the Transaction Monitoring function across various products - Ensuring compliance with the Bank's governance processes, including Model Risk Policy Governance - Providing guidance on industry best practices and closing compliance gaps - Mentoring and conducting training programs for new joiners and team members - Collaborating with stakeholders for deploying changes to production and supporting control improvements You will also be responsible for: - Providing coaching to peers and new hires to ensure high engagement and performance - Promoting a culture of openness, trust, and risk awareness - Applying Group and FCC policies and processes to manage risks effectively - Collaborating with cross-functional teams effectively - Attending relevant business meetings and ensuring tracking and remediation of surveillance and investigations related regulatory findings - Displaying exemplary conduct and ensuring compliance with applicable laws and regulations - Working collaboratively with key stakeholders including Business teams, CFCC Advisory teams, and Audit teams Qualifications for this role include: - 10+ years of hands-on experience in Transaction Monitoring design and development, with a focus on financial crime threat risk mitigation - Strong background in deploying models within TM or compliance environment - Post Graduate degree in Management/Statistics/Mathematics or Graduate degree in Engineering - Certification from the ACAMS or equivalent - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices Standard Chartered is an international bank that values diversity and inclusion. You will have the opportunity to work in a purpose-driven environment where you can make a positive difference for clients, communities, and the bank. If you are looking for a rewarding career with a focus on growth and impact, Standard Chartered is the place for you.,

Role Overview: At Lilly, we are looking for a highly skilled Data Scientist with 7-8 years of experience or an advanced degree (Masters/Ph.D.) in Statistics, Machine Learning, or Data Science. The ideal candidate should be passionate about solving complex business challenges in manufacturing and supply chain domains through advanced analytics. This role requires expertise in statistical modelling, machine learning, time-series analysis, and simulation techniques, along with the ability to manage large datasets and derive actionable insights. Proficiency in Python/R programming and familiarity with optimization techniques are essential. The candidate must be able to translate business problems into technical solutions, communicate effectively with stakeholders, and adapt to evolving business needs while simplifying technical concepts for non-technical audiences. Key Responsibilities: - Design and develop advanced analytics solutions using statistics, machine learning, data science, and optimization methods for solving various problems such as anomaly detection, time series forecasting, root cause analysis, and predictive maintenance. - Apply data visualization techniques for effective storytelling through data and share insights with business leaders. - Conduct exploratory data analysis and feature engineering on structured, semi-structured, and unstructured data. - Integrate and manage diverse datasets ensuring robustness for high-dimensional, imbalanced, and noisy data. - Develop scalable solutions for real-time inference, batch processing, and edge computing using modern deployment tools. - Lead end-to-end model lifecycle including development, deployment, monitoring, and performance optimization. - Stay updated with emerging AI/ML research and implement practical innovations. - Collaborate with cross-functional teams as a trusted advisor and ensure best practices in version control and CI/CD workflows. Qualification Required: - B.Tech./Masters/Ph.D. in statistics, Machine Learning, Data Science, or a related field. Additional Details: Lilly has pioneered the development of significant drugs and treatments over the years with a strong pipeline. The company's focus on using new-gen technologies helps redefine what is possible through technology in pharma. Lilly encourages a commitment to making a real difference in lives and provides a platform for the best talent to innovate and accelerate together. Employees at Lilly are dedicated to making a significant difference in the well-being of people worldwide.,

As a Statistical Programming Intern, you will provide robust statistical programming support for multiple clinical projects using SAS to deliver key regulatory-compliant outputs. Your role will involve developing programming documentation, writing efficient code, and staying updated on statistical programming techniques. Additionally, you will provide study updates to the study lead while performing your assigned duties. Your key responsibilities will include: - Providing statistical programming support for multiple clinical research study projects or study teams under the oversight of the lead programmer. - Supporting key deliverables based on regulatory requirements for clinical research e-submissions and/or study requirements for Sponsor, Regulatory, Investigator, or Safety review meetings. - Assisting in the development of programming documentation and annotations, including specifications, while adhering to relevant Standard Operating Procedures. - Ensuring accurate, effective, and timely communication of issues and status to the study lead of the team. - Executing assigned tasks with high quality and integrity. - Working effectively and collaboratively with cross-functional teams. To qualify for this role, you should have: - A bachelor's or master's degree in science with 0-6 months of Statistical programming experience in CDISC/TLF. - Familiarity with SAS (mandatory) and R (optional). - Ability to prioritize, problem-solve, organize, and make decisions. - Good communication skills. - Attention to detail. - Excellent analytical and problem-solving skills.,

Job Description: As a Data Science Trainer, your primary responsibility will be to deliver advanced training sessions in various topics related to data science. You will cover a wide range of subjects including: - Python Programming for Data Science - Mathematics & Statistics for AI - AI Ethics - Data Access, Handling and Visualization - Analyzing Data with Python - Visualizing Data with Python - Tableau - Machine Learning - Deep Learning - Natural Language Processing - Computer Vision (CV) - Full Stack Development - Generative AI - R Programming - Scala - Spark Qualifications Required: - Proficiency in Python programming - Strong understanding of Mathematics & Statistics for AI - Experience in conducting training sessions on various data science topics - Knowledge of Machine Learning, Deep Learning, and Natural Language Processing - Familiarity with tools like Tableau, R Programming, Scala, and Spark Additional Details: This is a full-time position that requires you to conduct training sessions in person. You will be expected to start on the 23rd of July, 2025.,

Role Overview: As a Software Trainer, your role involves teaching various programming languages and networking concepts to students. You will be responsible for delivering training on languages like Python, C++, C, R programming, Java, HTML, CSS, JavaScript, PHP, as well as Networking using Packet Tracer, VMware, MATLAB programming, Linux, and SQL/PLSQL. Key Responsibilities: - Teach programming languages including Python, C++, C, R programming, Java, HTML, CSS, JavaScript, PHP - Instruct on networking concepts using Packet Tracer, VMware, MATLAB programming, Linux, and SQL/PLSQL - Utilize effective communication skills to convey teachings to students Qualifications Required: - M.Tech or MCA qualification - Minimum of 1-15 years of experience in the field Location: Sector 82 A, IT City Rd, Block D, Sahibzada Ajit Singh Nagar, Punjab 140306,

As a model/UI developer, your role involves utilizing advanced programming skills in R and R Shiny to develop credit rating models and algorithms. You will leverage your R Shiny expertise to create user-friendly UIs and collaborate with analytical teams to implement models accurately. Additionally, you will communicate complex concepts to technical and non-technical stakeholders and stay updated on industry trends. Key Responsibilities: - Utilize advanced programming skills in R to develop and implement credit rating models and algorithms - Use R Shiny skills to build intuitive and user-friendly UI - Collaborate with analytical teams to translate criteria documents and implement models - Communicate complex concepts and findings to technical and non-technical stakeholders - Stay informed about industry trends and best practices in UI design and financial programming Qualifications Required: - Advanced programming skills in R and R Shiny, with a strong understanding of statistical analysis and UI/UX design - Background in the finance industry, with knowledge of financial markets and instruments - Excellent communication skills to convey technical concepts effectively - Strong problem-solving and analytical abilities - Experience with structured finance is preferred - Experience in application development using Python, Java, or C++ if not proficient in R/ R Shiny,

As a Data Scientist at Novartis, you will have the opportunity to understand complex and critical business problems from various stakeholders and business functions. You will formulate an integrated analytical approach to mine data sources, employ statistical methods, and utilize machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. Your role will involve managing the definition, implementation, and adherence to the overall data lifecycle of enterprise data, ensuring the availability of useful, clean, and accurate data throughout its useful lifecycle. Additionally, you will need to have high agility to work across various business domains. **Key Responsibilities:** - Innovate by transforming the way problems are solved using effective data management, Data Science, and Artificial Intelligence. - Articulate solutions/recommendations to business users. - Provide pathways to manage data effectively for analytical uses. - Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions based on analytical inputs. - Collaborate with internal stakeholders, external partners, institutions, and cross-functional teams to solve critical business problems and propose operational efficiencies and innovative approaches. - Evaluate the need for technology and novel scientific software, visualization tools, and new computation approaches to increase efficiency and quality of Novartis data sciences practices. - Identify research articles, reproduce/apply methodology to Novartis business problems, and contribute to cross-industry work streams in external relevant working groups. - Ensure exemplary communication with all stakeholders, including senior business leaders. - Contribute to the development of Novartis data management and data science capabilities. **Qualifications Required:** - Work Experience: 10+ years of relevant experience in Data Science. - Skills: Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (ML), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis. If managing a team, you will be expected to empower the team, provide guidance and coaching with limited guidance from more senior managers. Additionally, you will be responsible for the reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt. **Why Novartis:** Novartis is committed to reimagine medicine to improve and extend people's lives, striving to become the most valued and trusted medicines company in the world. By joining Novartis, you will be part of a mission-driven organization where associates are the driving force behind reaching ambitious goals. For more information on benefits and rewards at Novartis, please refer to the Novartis Life Handbook: [Novartis Life Handbook](https://www.novartis.com/careers/benefits-rewards) **Diversity and Inclusion:** Novartis is dedicated to building an outstanding, inclusive work environment with diverse teams that are representative of the patients and communities they serve. **Accessibility and Accommodation:** Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you require accommodation during the recruitment process, please contact [email protected] with details of your request and the job requisition number. Join the Novartis Network to stay connected and learn about suitable career opportunities: [Novartis Network](https://talentnetwork.novartis.com/network),

Role Overview: You will be responsible for coordinating, providing, and delivering methodological and epidemiological expertise to Real-World Evidence generation within Abbott's Established Pharmaceuticals Division (EPD). Your primary focus will be to support Clinical Development and/or Medical Affairs in clinical studies and related activities on the EPD brands. You will ensure compliance with international and local regulatory guidelines, as well as EPD policies and standards. Additionally, you will direct the operational aspects of the methodological work of RWE research projects outsourced to CROs. Key Responsibilities: - Manage several projects, mainly RWE and occasionally interventional, across all therapeutic areas - Contribute methodologically to the design, analysis, and reporting of observational clinical studies such as epidemiological studies, cross-sectional studies, and registry studies - Define appropriate statistical methodology and endpoint definitions for the design of clinical studies, including sample size determination - Review and approve the statistical analysis plan, participate in data reviews, and review study report tables, listings, and figures - Collaborate with the medical responsible person to clarify and communicate results and conclusions - Support dossier submissions and address statistical and methodological questions related to the file - Drive the agenda for generating RWE from RWD, leveraging data to enhance compound knowledge through data-driven projects - Review epidemiological and methodological issues on compounds from literature sources - Stay updated on relevant methodological and epidemiological expertise by attending conferences, courses, and reviewing literature - Represent Biometrics in the review of HEOR studies, pharmacoeconomic models, and Global Value Dossiers - Contribute to Behavioral Design studies, including Adherence studies with or without the use of digital means or telehealth Qualification Required: - PhD or MSc in (Bio)Statistics, Mathematics, Epidemiology, or Health economics - Additional training in epidemiology and RWE for Statistics degree holders, and additional training in statistics for Epidemiology degree holders - Professional at senior/principal level - Demonstrable expertise in designing and conducting observational studies - Experience in turning Real World Data into Real World Evidence using advanced statistical techniques - Minimum of 5 years of experience in a pharmaceutical environment - Proficient in conducting statistical analyses using SAS and/or R - Ability to explain epidemiological concepts to non-technical individuals - Knowledge of HEOR and behavioral science/adherence models would be advantageous,

As an experienced R Analytics Lead, your role will involve managing the day-to-day operations of the R-based analytics environment. Your responsibilities will include monitoring production jobs, conducting root cause analysis, handling data cleaning, fulfilling production data requests, identifying process improvement areas, and collaborating with development and QA teams. Key Responsibilities: - Monitor Production Jobs: Oversee scheduled R script execution, investigate failures, and take corrective actions. - Root Cause Analysis: Troubleshoot script failures, identify data or logic issues, and ensure proper fixes are applied. - Data Cleaning: Clean raw or inconsistent production data to facilitate smooth script execution. - Production Data Requests: Address data and reporting requests from business stakeholders using R and SQL. - Process Improvement: Identify areas for enhancing R code performance, automate tasks, and suggest improvements. - Collaboration with Development & QA: Support testing, deployment, and monitoring activities for new script developments. Qualifications Required: - 3+ years of experience in analytics support role. - Strong hands-on experience in R programming, especially with packages like dplyr, data.table, readr, lubridate. - Proficiency in SQL for data extraction, transformation, and analysis. - Experience in production support, script monitoring, and issue resolution. - Demonstrated ability to lead teams, train junior members, and coordinate across departments. Desirable Skills: - Familiarity with scheduling tools and database connections in a production environment. - Ability to document processes, communicate issues clearly, and interact effectively with business users.,

As a Statistical Programmer in the clinical domain with expertise in R and Shiny, your role will involve: - Developing, deploying, and maintaining R-Shiny web applications - Verifying and validating statistical programs, results, and datasets - Programming according to specifications and analyzing datasets as per SAP guidelines - Analyzing and visualizing data from various industries - Creating statistical graphics using R packages such as ggplot2, geom, plotly, and heatmap - Working with data manipulation libraries like dplyr, reshape, tidyr, and tidyverse - Handling functional aspects of R programming - Understanding Good Data Visualization Design Principles - Overcoming limitations of R and Shiny - Demonstrating strong written and verbal communication skills Qualifications required for this role include: - B.Sc. degree - 2+ years of professional work experience in R programming Please note that no additional details about the company were provided in the job description.,

Role Overview: As a Data Scientist in the team, you will be responsible for developing and maintaining R programs to generate CDISC SDTM and ADaM datasets, as well as tables, listings, and figures to meet clinical trial data requirements. Key Responsibilities: - Ensuring compliance with industry standards and regulatory requirements - Collaborating with cross-functional teams to understand and implement project-specific data needs - Providing technical expertise and support for data analysis and reporting tasks - Performing quality control and validation of outputs to maintain accuracy and consistency Qualification Required: - A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Data Science - At least 3 years of experience in R programming, including familiarity with R packages used in data analysis and reporting for clinical trials - Knowledge of data visualization techniques and tools in R - Experience working with clinical trial data and understanding of CDISC ADaM and SDTM standards - Strong analytical and problem-solving skills - Excellent communication skills and the ability to work effectively in a team environment Desirable skills that would be beneficial for this role: - Knowledge of other open-source packages and tools - Experience with SAS software - Familiarity with CRAN, POSIT, and other open-source repositories and products (Note: The company also provides more information about EEO & Accommodations request for your reference.),

As a Robotics R&D Engineer at our company, you will be part of an innovative team working on exciting projects in the field of robotics. Your role will involve developing new robotics projects, building prototypes, and providing online training to school mentors. Here are the details of your responsibilities, qualifications, and benefits: Key Responsibilities: - Research, design, and develop innovative robotics projects aligned with STEM and educational requirements. - Build and test functional prototypes using electronic, mechanical, and programming components. - Conduct online training sessions for school mentors, ensuring they understand project concepts, working principles, and teaching methods. - Document project designs, wiring diagrams, codes, and user manuals for mentor and student reference. - Stay updated with the latest trends in robotics, AI, IoT, and STEM education to bring innovation into projects. - Provide technical support and troubleshooting guidance for mentors during implementation. Qualifications & Skills: - Bachelors/Masters degree in Robotics, Electronics, Mechanical, Mechatronics, or related field. - Strong knowledge of robotics hardware (sensors, actuators, controllers, Arduino/Raspberry Pi, etc.) and software (C/C++, Python, Scratch, etc.). - Experience in robotics project development and prototyping. - Good presentation and communication skills to deliver effective online mentor training. - Passion for innovation and interest in STEM education. Preferred: - Prior experience in STEM robotics curriculum/project development. - Experience in teaching, mentoring, or training sessions. In addition to the exciting work you will be doing, you will also enjoy the following benefits: - Flexible part-time work schedule. - Opportunity to showcase creativity and innovation in robotics projects. - Be part of an organization shaping the future of STEM education. (Note: The company details were not provided in the job description.),

As a data analyst at our company, you will be responsible for developing and maintaining a global R codebase to generate CDISC ADaM datasets, tables, listings, and figures in alignment with clinical trial data requirements. Your key responsibilities will include: - Ensuring compliance with industry standards and regulatory requirements - Collaborating with cross-functional teams to understand and address project-specific data needs - Providing technical expertise and support for data analysis and reporting tasks - Performing quality control and validation of outputs for accuracy and consistency - Contributing to process improvements and the development of programming standards using R To qualify for this role, you should have: - A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Data Science - A minimum of 3 years of experience in R programming, including familiarity with R packages like Tidyverse, ggplot2, and survival - Familiarity with data visualization techniques and tools in R - Experience with clinical trial data and knowledge of CDISC ADaM and SDTM standards - Knowledge of industry R packages like ADMIRAL and OAK - Strong analytical and problem-solving skills Desirable skills for this position include: - Knowledge of other open-source packages and tools - Familiarity with CRAN, POSIT, and other open-source repositories and products Join our team and be a part of our innovative approach to data analysis in the clinical trial domain.,

As a Manager Statistical Programming at Syneos Health, you will play a crucial role in the clinical development model by bringing the customer and patient to the center of all activities. Your contributions will help simplify and streamline work processes to make Syneos Health not only easier to work with but also easier to work for. You will collaborate with passionate problem solvers to innovate as a team and assist customers in achieving their goals. Your agile and driven mindset will accelerate the delivery of therapies, ultimately making a difference in changing lives. Key Responsibilities: - Possess strong end-to-end programming experience, including SDTM, ADaM, and TLF development. - Have at least 2 years of relevant experience in project and people management, overseeing project metrics, and leading a team of 20+ members. - Proficiency in R or Python is a plus. - Hands-on experience in safety and efficacy programming, including writing specifications for SDTM and ADaM datasets. - Work in Clinical Phases: Phase II, III, and IV. - Therapeutic Area: Any. Qualifications Required: - Strong end-to-end programming experience in SDTM, ADaM, and TLF development. - Minimum of 2 years of experience in project and people management. - Proficiency in R or Python. - Hands-on experience in safety and efficacy programming. - Ability to work in Clinical Phases II, III, and IV. In the past 5 years, Syneos Health has collaborated on 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products, and over 200 studies across 73,000 sites with 675,000+ trial patients. This dynamic environment will challenge you to take initiative and challenge the status quo, contributing to the company's success. Please note that tasks, duties, and responsibilities may vary beyond those listed in this job description as per the Company's discretion. Equivalent experience, skills, and education will also be considered. The Company is dedicated to compliance with all applicable laws and regulations, including the provision of reasonable accommodations under the Americans with Disabilities Act. For further insights into Syneos Health, visit their official website at http://www.syneoshealth.com.,

As an on-site intern at PHARMA-STATS Statistical Services in Ahmedabad, India, your role will involve assisting in the design, implementation, and analysis of clinical trials. You will support biostatistical analysis, statistical programming, and AI tool development using R-Programming. Additionally, you will contribute to regulatory query support and participate in training sessions to enhance your skills in clinical, regulatory, and quality assurance. Key Responsibilities: - Assist in the design, implementation, and analysis of clinical trials - Support biostatistical analysis and statistical programming - Develop AI tools using R-Programming - Help with regulatory query support - Participate in training sessions for skill enhancement Qualifications Required: - Pursuing or holding a Master's degree in Biostatistics, Statistics, or Mathematics - Attention to detail and strong problem-solving abilities - Background in any programming languages - Good communication skills - Willingness to relocate to Ahmedabad, Gujarat PHARMA-STATS Statistical Services is a renowned biostatistical service provider that excels in delivering comprehensive solutions to partners in the pharmaceutical, biotechnology, and medical device industries. The experienced team at PHARMA-STATS specializes in clinical trial design, implementation, and analysis, offering biostatistical and programming services to ensure the success of clients.,

As a Statistical Programming Intern, your role involves providing robust statistical programming support for multiple clinical projects using SAS to deliver key regulatory-compliant outputs. You will be responsible for developing programming documentation, writing efficient code, and staying updated on statistical programming techniques. Your duties also include providing study updates to the study lead while performing your assigned tasks. - Provide statistical programming support for multiple clinical research study projects or study teams under the oversight of the lead programmer. - Support key deliverables based on regulatory requirements for clinical research e-submissions and/or study requirements for Sponsor, Regulatory, Investigator, or Safety review meetings. - Assist in the development of programming documentation and annotations, including specifications, adhering to relevant Standard Operating Procedures. - Ensure accurate, effective, and timely communication of issues and status to the study lead of the team. - Execute assigned tasks with high quality and integrity. - Work effectively and collaboratively with cross-functional teams. Qualifications Required: - Bachelor's or master's degree in science with 0-6 months of Statistical programming experience in CDISC/TLF. - Familiarity with SAS (mandatory) and R (Optional). - Ability to prioritize, problem-solve, organize, and make decisions. - Good communication skills. - Attention to detail. - Excellent analytical and problem-solving skills. If there are any additional details about the company in the job description, please provide that information.,

You will be responsible for designing and developing automated test systems for electrical/electronic components. Your key responsibilities will include: - Working with embedded systems & microcontrollers such as Arduino, PIC, STM32, or similar - Designing circuits and PCB layouts using tools like Altium, KiCad, OrCAD, Eagle - Programming for test automation using Python, C/C++, LabVIEW, MATLAB - Integrating sensors and data acquisition for temperature, force, pressure, voltage, and current sensors - Implementing communication protocols like RS232, RS485, I2C, SPI, CAN, MODBUS - Integrating PLC & SCADA for industrial automation setups - Conducting power electronics and electrical testing including load testing, insulation resistance, and high-voltage testing - Developing software for data visualization using Python, .NET, or web-based interfaces - Having knowledge of IoT & cloud connectivity for remote monitoring solutions Your qualifications should include: - B.Tech/B.E. /M.Tech in Electronics & Communication, Electrical, Instrumentation, Mechatronics, or Computer Science Engineering Additional desirable skills may include: - Familiarity with ISO & IPC standards for electrical testing - Ability to work with mechanical fixtures and robotic arms for automated testing - Experience with machine learning for predictive analytics (preferred but not mandatory) - Strong problem-solving skills and ability to work independently You should have 3-7 years of experience in designing and developing automated test systems and hands-on experience in building EOL testers for products like switches, connectors, relays, and wire harnesses. Practical exposure to industrial automation & quality control testing is also required. Please note that this is a full-time, permanent position with benefits including health insurance, leave encashment, and a yearly bonus. The work schedule is fixed shift.,