159 Statistical Programming Jobs nearby Nanded

As a Technical Customer Support Engineer at Crunch.io, your role will be crucial in providing exceptional customer support, testing new product features, supporting the sales team, and managing specific projects for our customers. **Key Responsibilities:** - **Customer Support:** - Triage and resolve highly complex, technical, and application-related support issues impacting product performance and customer success. - **Product Testing:** - Systematically test new product features, detect bugs, and contribute to new documentation. - **Supporting the Sales Team:** - Review prospects" data, prepare datasets for demonstration, and assist new users post-sales education and onboarding. - **Professional Services:** - Manage and execute specific projects where Crunch.io is engaged to set up customer data on their behalf. Some of your responsibilities will include: - Developing a deep understanding of the application and internal documentation to become an expert. - Communicating effectively with customers via email and online web calls to ensure the best use of our app. - Maintaining excellent customer relationships through superb service and technical skills. - Fielding user questions, troubleshooting reported problems, and triaging them appropriately. - Developing and delivering reports on customer account usage periodically. - Prioritizing customer cases effectively and escalating relevant support issues to product management and engineering teams. - Contributing to the knowledge base by researching and documenting software and technical issues. **Qualifications:** - **Experience & Background:** - Experience in data processing for market research surveys, with a background in market research operations and proficiency in a statistical programming language. - **Educational Qualifications:** - BA/BS degree in Computer Science and/or statistics preferred. - **Problem Solver:** - Curious problem solver with excellent research and analytical skills. - **Communicator:** - Excellent verbal and written English language skills, empathetic, and skilled in conflict resolution. - **Organized:** - Ability to juggle and prioritize workload, handle details accurately under pressure. - **Flexible:** - Ability to multitask, handle interruptions, and work across different time zones. - **Detail Oriented:** - Strong attention to detail with a desire to find solutions for problems.,

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 a Senior AI/ML Scientist (IC) at A.P. Moller - Maersk, you will play a crucial role in developing strategic recommendation systems to enhance supply chain execution and support decision-making processes. Your responsibilities will include designing and implementing machine learning models, conducting deep data analysis, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. You will be expected to solve complex problems using NLP, deep learning, optimization, and computer vision techniques. **Key Responsibilities:** - Independently design and develop scalable AI/ML solutions using advanced design patterns, models, and algorithms to analyze complex datasets and generate actionable insights. - Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys, and challenge business requirements for seamless integration. - Apply innovative problem-solving techniques and methodologies to find unique approaches to complex problems and improve outcomes. - Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions. - Drive initiatives to optimize workflows, share best practices, and enhance collaboration between teams. - Maintain detailed documentation covering methodologies, data pipelines, model performance, and key design decisions. - Ensure readiness for production releases by focusing on testing, monitoring, observability, and scalability of models for future projects. - Demonstrate awareness of shared platform capabilities and identify opportunities to leverage them in designing efficient AI/ML solutions. **Qualifications & Requirements:** - Bachelor's degree in B.E/BTech, preferably in computer science. - Experience with collaborative development workflow, version control, and CI/CD. - Strong communication skills with experience in stakeholder management. - Highly analytical mindset with excellent problem-solving skills. - Self-starter, highly motivated, and willing to share knowledge and work as a team player. **Preferred Experiences:** - 8+ years of relevant experience in Data Engineering. - 5+ years of hands-on experience with Apache Spark, Python, and SQL. - Experience working with large datasets and big data technologies. - Experience with containerization (Kubernetes & Docker) and cloud native applications. - Familiarity with common dashboarding and API technologies. Feel free to contact accommodationrequests@maersk.com for any special assistance or accommodations during the application and hiring process.,

As a Senior Statistical Programmer at Tech Observer, a global Clinical Research Organization (CRO) and Functional Service Provider (FSP), your role will involve the following key responsibilities: - Ensure compliance with working SOPs, Quality Management System, and Good Clinical Practice (GCP), while adhering to programming guidelines. - Implement and follow the latest versions of CDISC, FDA Guidelines, GCP, and other industry standards. - Participate in and co-ordinate the Statistical Programming review of Case Report Forms (CRFs), annotated CRFs, database structures, and study-related documentation. - Review and interpret Report and Analysis Plans, providing comments for assigned projects. - Develop and review SAS programs for managing clinical trial data, tabulating data, preparing patient data listings, and creating derived datasets as specified in the Statistical or Report Analysis Plans. - Design SAS programs for ad hoc tables and listings, supporting Data Management. - Carry out electronic data transfers and review programs to ensure data transfer compliance. - Set up utilities/SAS based systems to facilitate Clinical Data Management activities. - Review draft and final production runs for quality and consistency. - Provide feedback for continuous improvement of SOPs and cross-functional SOPs. - Ensure quality of personal work and team work when acting as a Lead Programmer or Biometrics Project Manager. - Represent Statistical Programming at internal project team meetings, client meetings, and audits. - Support senior Statistical Programming staff activities by providing input into time and cost estimates and client presentations with sufficient experience. - Advise Senior Statistical Programming staff on project scope changes for timely development of change orders. - Demonstrate problem-solving skills, proactive approach, and willingness to make decisions regularly. - Encourage and participate in ongoing process review for continuous improvement. - Stay updated on new programming techniques and IT developments applicable to clinical trial data management and reporting. - Perform other duties as assigned by senior Statistical Programming staff. Tech Observer is a global Clinical Research Organization (CRO) and Functional Service Provider (FSP) with headquarters in New Jersey, USA, and a strong presence in various countries including India, Singapore, the UK, and Denmark.,

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 highly skilled Quantitative Developer eager to contribute to cutting-edge algorithmic trading strategies within a global financial institution, you have the opportunity to join Citi's Cash Equity Quant team in Mumbai. This role involves improving Algorithmic Trading products by performing both implementation and research work to provide best-in-class execution performance. You will work on enhancing existing algorithms, developing new models, and implementing algorithm enhancements with production-quality code. Collaboration with Traders, Sales, and technology professionals is essential in this role, along with contributing to building a culture of responsible finance and good governance. Key Responsibilities: - Improve Algorithmic Trading products through implementation and research work to achieve best-in-class execution performance. - Enhance existing algorithms, develop new models, and implement algorithm enhancements with production-quality code. - Apply best practices in developing and testing modular, reusable, and robust trading components and strategy code. - Collaborate closely with Traders, Sales, and technology professionals. - Contribute to building a culture of responsible finance, good governance, and supervision. Qualifications Required: - Masters or Bachelors degree in Finance, Mathematics, Engineering, Computer Science, or a related field. - Extensive experience in a comparable quantitative development and analysis role, preferably in the financial sector. - Strong programming and software design skills in Java. - Analytical and quantitative skills, with experience using statistical programming languages such as Python or R. - Experience with Q/KDB or time series databases is a plus. - Experience working with algorithmic trading products is preferable. - Good communication skills, both verbal and written. - Ability to manage multiple tasks and projects effectively in a fast-paced work environment. If you are a highly motivated Quantitative Developer with strong programming skills and a passion for algorithmic trading, eager to contribute to a global team in Mumbai, we encourage you to apply for this exceptional opportunity offered by Citi.,

Role Overview: We are seeking a skilled and motivated Data Scientist to join our team. The ideal candidate will leverage data science techniques to develop predictive models, generate insights, and support strategic decision-making, particularly in revenue forecasting and financial analytics. While our India office is based in Mumbai, this role can be handled remotely and will be responsible for supporting global operations. This role offers the chance to work in a fast-paced environment and advance your career within a supportive and diverse team. Key Responsibilities: - Apply statistical techniques (regression, distribution analysis, hypothesis testing) to derive insights from data and create advanced algorithms and statistical models such simulation, scenario analysis, and clustering - Explain complex models (e.g., RandomForest, XGBoost, Prophet, SARIMA) in an accessible way to stakeholders - Visualize and present data using tools such as Power BI, ggplot, and matplotlib - Explore internal datasets to extract meaningful business insights and communicate results effectively and write efficient, reusable code for data improvement, manipulation, and analysis - Manage project codebase using Git or equivalent version control systems - Design scalable dashboards and analytical tools for central use - Build strong collaborative relationships with stakeholders across departments to drive data-informed decision-making while also helping in the identification of opportunities for leveraging data to generate business insights - Enable quick prototype creation for analytical solutions and develop predictive models and machine learning algorithms to analyze large datasets and identify trends - Communicate analytical findings in clear, actionable terms for non-technical audiences - Mine and analyze data to improve forecasting accuracy, optimize marketing techniques, and informed business strategies, developing and managing tools and processes for monitoring model performance and data accuracy - Work cross-functionally to implement and evaluate model outcomes Qualifications Required: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related technical field - 3+ years of relevant experience in data science and analytics and adept in building and deploying time series models - Familiarity with project management tools such as Jira along with experience in cloud platforms and services such as DataBricks or AWS - Proficiency with version control systems such as BitBucket and Python programming - Experience with big data frameworks such as PySpark along strong knowledge of data cleaning packages (pandas, numpy) - Proficiency in machine learning libraries (statsmodels, prophet, mlflow, scikit-learn, pyspark.ml) - Knowledge of statistical and data mining techniques such as GLM/regression, random forests, boosting, and text mining - Competence in SQL and relational databases along with experience using visualization tools such as Power BI - Strong communication and collaboration skills, with the ability to explain complex concepts to non-technical audiences,

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 a Statistical Programmer L2 at our company, you will report to the Principal Statistical Programmer 3/ Lead, Statistical Programming (L4 (3) or M1). Your main responsibility will be to work independently on most of the Mapping activities, including SDTM and client-specific mappings of simple and medium complexity for the assigned client in the given environment for the standard domains. You will need to have a good understanding of the clinical domain, mapping logic, and data issues. Additionally, learning the product/system/mechanism to be used for SDTM mapping is a key part of your role. **Key Responsibilities:** - Ability to pick up multiple tools/technologies on the job - Import and Export raw data - Contribute to Mapping specifications - Utilize SAS/R programming/Python programming skills for clinical trial study submissions - Develop programs identifying data issues and reporting them to the appropriate team - Utilize appropriate guidelines to build CDISC/regulatory compliant datasets - Understand CRF annotations and check for consistency with raw data - Ability to debug custom functions/SAS Macros and fix issues - Good understanding of clinical data and domain - Follow Client Processes and SOPs - Assist senior team members in quality control processes - Assist senior team members with team metrics - Communicate with an internal team to create deliverables for pharmaceutical and CRO clients - Work in tandem with Biostatistics and Data Management members on clinical projects - Communicate with programming and statistics leads - Ensure compliance with company policies/SOPs **Qualifications Required:** - Graduation in Pharmacy/Computer Science, or any such equivalent graduation from a reputed institute - Total experience between 2 - 4 years - Clinical Domain knowledge - Familiarity with CDISC Standards (SDTM Knowledge, ADaM, Submission package) - SAS Programming (Experience up to 2 years) - Python Programming will be an added advantage - R Programming will be an added advantage - Good Communication skills, learning attitude, and good team player At our company, Saama automates key clinical development and commercialization processes with artificial intelligence (AI), Generative AI, and advanced analytics. We accelerate your time to market by offering AI-backed SaaS solutions as well as product-based industry services and accelerators. Discover more at saama.com.,

As a Quantitative Analyst in Citi's Cash Equity Quant team in Mumbai, you will play a crucial role in improving Cash Equity quantitative models through research and implementation work, with a focus on achieving best-in-class execution performance. Your responsibilities will include: - Researching and analyzing ideas for enhancing existing and developing new quant models, such as optimal schedule, market impact models, short-term predictive signals, and volatility-based signals. - Performing in-depth analysis of large data sets comprising market data, orders, executions, and derived analytics. - Conducting flow analysis and tuning performance for various client flows. - Providing data and analysis to support initial model validation and ongoing performance analysis. - Collaborating closely with Traders, Sales, Technology, and Model Risk professionals. Qualifications required for this role include: - Strong academic background with a Masters or Bachelors degree in Finance, Mathematics, Engineering, Computer Science, or a related field. - Demonstrated experience in a comparable quantitative modeling or analytics role, ideally in the financial sector. - Experience applying statistical modeling and machine learning towards the analysis of large data sets. - Strong programming, analytical, and quantitative skills, with experience using statistical programming languages such as Python. - Experience with Q/KDB or time series databases would be advantageous. - Good communication skills, both verbal and written. - Ability to manage multiple tasks and projects effectively in a fast-paced work environment. This position offers you the opportunity to work in a fast-paced environment, collaborate globally, and contribute to challenging initiatives while fostering innovation within the team culture. You will receive a competitive compensation package and access to various learning and development resources, providing a clear path for your professional development. If you are passionate about algorithmic trading and possess a strong analytical mindset, we encourage you to apply for this role in Mumbai.,

You will be joining the ANALYTICS AND INFORMATION MANAGEMENT (AIM) team at Boundaryless, a global company specializing in digital transformation. AIM was established in 2003 and operates in multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. The team's primary focus is to objectively connect and analyze information to create actionable intelligence for business leaders, identifying fact-based opportunities for revenue growth in partnership with the businesses. As a Business Analytics Analyst 2 at Boundaryless, your key responsibilities will include: - Creating client-centric analytic solutions to business problems with a holistic view of multiple businesses - Delivering multiple and complex analytic projects by understanding business context, modeling business problems, and implementing solutions - Applying proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling - Managing stakeholders across various functions and regions - Delivering high-class presentations to business stakeholders and senior management - Managing projects by creating project plans, assigning responsibilities, and ensuring effective communication - Coaching and mentoring junior team members - Contributing to organizational initiatives such as competency development, training, and organizational building activities To excel in this role, you should possess the following skillsets: - Love for data and eagerness for new challenges - Bachelor's Degree with 3 years of experience in data analytics, or Master's Degree with 2 years of experience - Hands-on experience in SAS and SQL - Strong background in Statistical Analysis - Experience working with large datasets and data warehouses - Experience in Credit Cards and Retail Banking products - Preferred skills in Python or R programming, Machine Learning & Statistical Modeling, P&L Forecasting, Product Pricing, Acquisition Strategy projects, Tableau, and Adobe Analytics (SiteCatalyst). If you are passionate about analytics, enjoy working with data, and have experience in statistical analysis and project management, this role at Boundaryless in Pune could be the perfect fit for you.,

Hiring for Clinical Statistical Programmer Role !!! Apply now, if interested do share your resume prachiwfm187@gmail.com 8287816038 WE ARE HIRING FOR INDIA'S 2ND LARGEST KPO !!! Experience - 5+ Years Experience in Clinical SAS Programming (Inc. ADAM, TLF,CDISC Standards, Mapping & Conversion of Clinical Trial Data, Therapeutic Areas experience is must) Job location- Mumbai/Pune/Bangalore Note- You can forward this post to your friends and colleagues who wish to apply.  Thanks & Regards  Prachi Rawat  8287816038

Were Hiring  for Statistical Programmer (Healthcare Domain) ! Exciting Opportunity Awaits! Location: Mumbai , Chennai , Pune , Bangalore  Salary: Up to 22 LPA Shift: General Shifts Working Days: 5 Days WFO | 2 Rotational Offs Eligibility:Minimum 5 years of experience in Statistical Programming(R,SDTM,ADAM,SDLC) within the Healthcare domain Share your CVs: hrwfm.consultancy42@gmail.com Contact: Shruti 9911988551 References are highly appreciated!

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by creating valuable insights from data and communicating these findings effectively. Your responsibilities will involve leading data science projects, advising on AI capabilities, establishing governance frameworks, recommending appropriate tools and technologies, and sharing knowledge with team members. Here is a breakdown of your role: **Key Responsibilities:** - Lead Data Science Application Development/Deployment: Lead the full lifecycle of data science projects, from ideation to deployment and optimization. - Advisory AI/GenAI: Provide strategic advice on evolving AI capabilities to align with company goals. - Standards and Governance: Establish governance frameworks and best practices for effective data science application building. - Technology Evaluation and Recommendation: Evaluate and recommend suitable AI/GenAI tools and technologies. - Knowledge Sharing and Mentoring: Share expertise with team members, mentor junior data scientists, and foster a strong AI community within Mondelz. **Skills and Experiences:** - Deep understanding of data science methodologies including machine learning, deep learning, statistical modeling, and optimization. - Hands-on experience in a cloud environment, including cloud platform, data storage, AI/ML model building, and process orchestration. - LLM Application architecture & Integration experience, with a clear understanding of underlying technologies. - Cloud Based Deployment & Scaling proficiency in deploying and scaling data science applications in a cloud environment. - Collaboration with cross-functional teams/stakeholder management skills, with excellent communication abilities. **Qualifications:** - Masters degree in a Quantitative Discipline, PhD preferred. - Minimum 8 years of experience in data science/AI. - Minimum 2 years of GenAI experience. In addition to the job responsibilities and qualifications, Mondelz International is focused on empowering people to snack right by offering a broad range of delicious, high-quality snacks made with sustainable ingredients. With a rich portfolio of globally recognized brands, Mondelz International holds top positions in biscuits, chocolate, and candy globally. The company values diversity and is committed to growth, with a community of makers and bakers in over 80 countries. If you are ready to lead data science engagements, drive innovation, and shape AI capabilities at Mondelz International, this role offers an exciting opportunity to make a significant impact. Please note that the company provides support for within-country relocation and minimal assistance for candidates voluntarily moving internationally through the Volunteer International Transfer Policy.,

As an experienced data scientist at Abbott Healthcare in Mumbai, your role will involve leading the design and development of advanced analytical solutions. You will transform large data into meaningful business insights, either independently or by collaborating with junior team members. Your responsibilities will include: - Conducting and managing analysis and modeling to deliver AI/ML solutions - Communicating results to senior stakeholders - Collaborating with cross-functional teams to understand business problems - Framing project outlines based on available data and systems - Building and presenting strong narratives to senior stakeholders regularly - Implementing and maintaining solution quality - Providing data and metrics compliant with business requirements - Mentoring and guiding junior data scientists to support their technical skills and career growth Your skills should include: - Strong analytical and data interpretation skills - Proficiency in SQL and Python for Data Science - Hands-on experience with statistical and machine learning algorithms (e.g., regression, clustering, Random forest, SVM, neural network) - Experience in building AI/ML solutions on cloud platforms - Ability to manage multiple projects in a fast-paced environment - Excellent written and verbal communication skills Additionally, the ideal candidate will have a proven track record of solutioning and delivering AI/ML solutions. They should also possess strong programming skills and the ability to work effectively with senior stakeholders.,

As an Analytics Lead at Mondelz International, you will play a pivotal role in supporting the data strategy and leading the development of custom models and algorithms. Your contributions will have a significant impact on business performance by working closely with the business leadership team to manage the vision and agenda for business analytics in your area of responsibility. Key Responsibilities: - Support stakeholders across the portfolio by implementing agile ROI/KPI initiatives to drive improvements - Identify and collaborate with best-in-class external partners to drive project deliveries - Develop custom models and algorithms to uncover signals, patterns, and trends for long-term business performance - Manage the data strategy within your area of responsibility, including data collection architecture, data governance, and data reporting infrastructure - Build and lead a professional and reliable team - Run the business analytics program using a methodical approach to convey to stakeholders the value that business analytics will deliver Qualifications Required: - Ability to influence the business agenda and provide recommendations to senior leaders - Leadership experience in analytics practice roles - Experience deploying new analytical approaches in a complex and matrixed organization - Proficiency in utilizing analytics techniques to create business impacts - Demonstrated people leadership experience In addition to the above role and responsibilities, as the D&A Analytics lead for India, you will be responsible for crafting Data & Analytics strategic vision and roadmap. This includes building momentum, implementing data priorities, facilitating adoption plans, and continuous improvement plans to deliver strong business value across all levels of the organization at the right cost structure. You will also lead analytics delivery for India initiatives, BI development, and data governance. Furthermore, you will be required to possess a good understanding of various data & analytics concepts, methods, and techniques including analytics, AI, data management, data architecture, data modeling, data governance, statistical skills, as well as technology skills such as programming languages, data integration tools, and analytics platforms. Soft skills such as leadership, communication, facilitation, creative thinking, teamwork, collaboration, relationship management, storytelling, influencing, as well as domain skills in business acumen, business process transformation, and business data understanding are essential for this role. With Mondelz International's purpose to empower people to snack right, you will join a diverse community of makers and bakers who are energized for growth and committed to delivering delicious, high-quality snacks made sustainably. With a rich portfolio of globally recognized brands, you will have the opportunity to contribute to the organization's purpose and values while accelerating your career in analytics and data science.,

You will be joining our Biometrics team in Pune as a Biostatistician, where you will work collaboratively in a team to contribute to tasks and projects crucial for the company's success. This role offers you an exciting opportunity to utilize your expertise and further develop your career. **Responsibilities:** - Contribute to clinical development plan preparation - Review study protocol and prepare statistical methodologies - Develop detailed Medpace Data Analysis Plan for assigned projects - Program study analysis, review study results, and prepare statistical methods section for clinical/statistical reports - Communicate project requirements for CRF design, database design, and database cleanup to ensure suitability of key study variables for analysis - Communicate statistical results to medical writing personnel for accurate interpretation **Qualifications:** - Ph.D. degree in Biostatistics/Statistics with pharmaceutical clinical trial experience - 10+ years" industry experience in Clinical Trial or equivalent - Strong experience in SAS programming or equivalent - Knowledge of other statistical software, advanced statistical methods, and the pharmaceutical industry - Knowledge of regulatory requirements/guidelines for drug development - Familiarity with complex statistical methods for Phase I-IV clinical trials - Experience in generating analysis databases and analyses for medium to high complexity clinical trial projects including ISS, ISE, and electronic submissions - Excellent verbal and written communication skills **Medpace Overview:** Medpace is a full-service clinical contract research organization (CRO) providing Phase I-IV clinical development services to the biotechnology, pharmaceutical, and medical device industries. With a mission to accelerate global development of safe and effective medical therapeutics, Medpace leverages local regulatory and therapeutic expertise in major areas including oncology, cardiology, metabolic disease, and more. **Why Medpace ** Join Medpace to make a difference tomorrow with people, purpose, and passion. Over the past 30+ years, Medpace has positively impacted the lives of patients and families worldwide. The work you do at Medpace today will improve the lives of those facing illness and disease in the future. **Medpace Perks:** - Flexible work environment - Competitive compensation and benefits package - Competitive PTO packages - Structured career paths for professional growth - Company-sponsored employee appreciation events - Employee health and wellness initiatives **Awards:** - Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023, and 2024 - Recipient of CRO Leadership Awards from Life Science Leader magazine for expertise, quality, reliability, and more After reviewing your qualifications, a Medpace team member will contact you with details for the next steps.,

As a Sr Statistical Programmer at Syneos Health, you will play a crucial role in developing programs and providing statistical programming support. Your main responsibilities will include: - Having 5+ years of experience in Advanced SAS/R programming and SQL - Experience in R programming, R Package development, and good knowledge of SQL - Hands-on knowledge of Python will be considered valuable along with R programming - Understanding of TIBCO Spotfire visualization tool or equivalent, and creating calculated columns, markings, filtering, and document properties - Knowledge or hands-on experience in Clinical domain and drug development process (Phase I through IV), Clinical Data Management - Experience in study lead and capable of managing multiple studies - Strong written and verbal communication skills Syneos Health is dedicated to developing its employees through career development, supportive management, training programs, and total rewards. The company is committed to creating a diverse and inclusive workplace where everyone feels they belong. Syneos Health has been involved in numerous successful projects over the past 5 years, working with a wide range of drugs, products, and studies. As part of the Statistical Programming job family at the P23 level, you will be responsible for developing programs, creating statistical tables, listings, and graphs, and evaluating programming processes. Your contributions will have a measurable impact on department results. Please note that the tasks and responsibilities listed in this job description are not exhaustive, and the company may assign additional duties as needed. The Company values equivalent experience, skills, and education in addition to those listed in the job description. Compliance with relevant legislation and equal employment opportunities is a top priority for Syneos Health. If you are passionate about making a difference and have the necessary skills and experience, we encourage you to apply for this exciting opportunity at Syneos Health.,

Role Overview: ZS is a management consulting and technology firm that focuses on transforming ideas into impact by utilizing data, science, technology, and human ingenuity to deliver better outcomes for clients worldwide. As a part of ZS, you will work alongside a collective of thinkers and experts to create life-changing solutions for patients, caregivers, and consumers. Your role will involve designing and implementing innovative solutions in clinical trials, data management, and analytics. Additionally, you will lead technology projects, collaborate with clients, and contribute to the growth of a Business Analysis community. Key Responsibilities: - Design and implement innovative solutions in clinical trial, data management, and analytics - Design common data models based on clinical standards like SDTM, ADAM, ISS, ISE - Develop safety data marts for cross-study and exploratory analysis - Build analysis-ready datasets for safety and exploratory use cases in clinical trials - Lead requirements gathering activities and collaborate with product owners to prioritize and groom the backlog - Review and author high-level user stories, develop tasks, acceptance criteria, and review test cases - Create process flows, perform business process modeling, data flow, user experience modeling, and basic solution architecture diagramming - Mentor and upscale junior colleagues in Business Analysis and contribute to the growth of a BA community Qualifications Required: - Bachelor's degree in engineering, Pharma, Bioinformatics, Medicine, or related disciplines - Master's degree in business analysis, Engineering, or Science preferred - Experience working within the Life Science Domain as a solution architect, business analyst, or data analyst - Experience with clinical data standards like CDISC (SDTM, ADaM), Safety data marts - Experience with FHIR, HL7, USDM preferred - Strong verbal and written communication skills - Experience in driving requirements discussions, workshops, and coordinating with stakeholders - Exposure to clinical data standards like CDISC (SDTM, ADaM), FHIR, HL7, USDM - Experience in building and delivering GxP compliant solutions for large enterprise programs Additional Details: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company promotes a flexible and connected way of working, allowing a combination of work from home and on-site presence. ZS values diversity and inclusion, encouraging individuals to bring their unique selves to work. Note: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required for consideration.,