3,530 Financial Modelling Expertise jobs in India

Program Associate is a crucial role in our organization. We are seeking an experienced professional to fill this position.

• This position requires excellent organizational and analytical skills, with proficiency in data analysis and reporting using various tools.

• The ideal candidate will be responsible for collecting and reporting data to support program monitoring and evaluation using G Suite applications.
• This includes creating dashboards and visualisations using Looker Studio or Power BI, as well as proficiently using Excel, Google Sheets, and dashboard creation tools.
• The successful candidate will also apply analytical skills to generate actionable insights, with knowledge of SQL, Python, or Apps Script a plus.
• Collaboration with cross-functional teams and managing stakeholders to ensure program success is also essential.
• Driving program implementation and supporting change management initiatives across departments will be key responsibilities of this role.
• Working effectively in dynamic environments handling ambiguity, multitasking, and high-pressure deadlines is critical.

• This role offers opportunities for growth and development within the organization.
• We provide a dynamic and supportive work environment that encourages teamwork and collaboration.

We are seeking a skilled Data Analysis Lead to support clinical trial data analysis and regulatory submissions.

• Author and validate document SAS programs, datasets, TFLs, macros, and good programming practices
• Develop and maintain R programs with hands-on experience in packages like Tidyverse and Admiral
• Create ADAM datasets using Admiral packages in R
• Read and write raw data across SAS and R platforms
• Conduct thorough debugging in the R console and use tools
• Review and approve clinical trial documents, dataset specifications, and TFL shells
• Identify and resolve data issues, outliers, and standards-related discrepancies
• Complete and review CDISC validation tool reports
• Stay updated on emerging CDISC standards, assess impacts, and ensure ongoing future trials
• Maintain proficiency in SAS awareness developments, programming tools, and standards
• Ensure study master file documents are audit-ready
• Serve as lead programmer for client accounts and projects, manage client expectations, and issue resolution
• Provide input and review project management documents
• Perform work in full compliance with applicable legislation, regulations, company policies, and procedures
• Actively contribute to internal client-study team meetings

To be successful in this role, you will need:

• A bachelor's or master's degree in statistics, computer science, or a related field
• Proven experience in SAS programming within clinical trials and pharmaceutical or CRO settings
• Strong hands-on experience in R programming with relevant packages
• Knowledge of CDISC standards, ADAM, SDTM, and regulatory submission requirements
• Excellent problem-solving, debugging, and data validation skills
• Strong communication skills for managing client interactions and cross-functional collaboration
• The ability to work independently and lead project teams

This role offers:

• Exposure to regulatory submissions and audit processes
• Experience as a lead programmer, managing timelines, deliverables, and client relationships

We are seeking a highly skilled Data Analysis Expert to join our team. As a key member of our data science group, you will be responsible for analyzing large datasets to identify trends and insights that drive business decisions.

• 7-8 years of experience in data analysis required.
• A strong proficiency in Apache PySpark is essential.
• Hands-on experience with Deep Learning Frameworks like TensorFlow or PyTorch is necessary.
• Advance SQL skills are crucial for data manipulation and analysis.
• Solid understanding of machine learning algorithms, model evaluation, and deployment is a must.

Key Responsibilities:

• Develop and deploy predictive models using machine learning algorithms.
• Analyze large datasets to identify trends and insights.
• Collaborate with cross-functional teams to drive business decisions.

Requirements:

• 7-8 years of experience in data analysis.
• Strong proficiency in Apache PySpark.
• Hands-on experience with Deep Learning Frameworks like TensorFlow or PyTorch.
• Advance SQL skills.
• Solid understanding of machine learning algorithms, model evaluation, and deployment.

This role is focused on delivering high-quality clinical trial data analysis and reporting solutions to pharmaceutical clients. As a Senior Statistical Programmer, you will be responsible for leveraging advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials.

The ideal candidate will have a strong background in statistics, computer science, or mathematics, with at least 8 years of experience working with clinical trial data in the pharmaceutical industry. They will also possess excellent analytical and troubleshooting skills, as well as the ability to work effectively in a globally dispersed team environment.

• Performing data manipulation, analysis, and reporting of clinical trial data using SAS programming.
• Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures.
• Production and QC/validation programming.
• Generating complex ad-hoc reports utilizing raw data.
• Applying strong understanding/experience of efficacy analysis.
• Creating and reviewing submission documents and eCRTs.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for professional growth and development.
• A competitive salary and benefits package.

Qualifications:

• Bachelor's degree in statistics, computer science, mathematics, or related field.
• At least 8 years of SAS programming experience working with clinical trial data in the pharmaceutical industry.
• Strong analytical and troubleshooting skills.
• Ability to work effectively in a globally dispersed team environment.

Cytel is looking for a skilled Senior Statistical Programmer to join our team. As a key member of our organization, you will be responsible for designing and implementing statistical methods and models to analyze and interpret complex data from clinical trials.

• Responsibilities:
• Design and implement statistical analysis plans and protocols for clinical trials;
• Develop and maintain statistical models and algorithms to analyze and interpret large datasets;
• Collaborate with cross-functional teams, including biostatisticians, data managers, and clinicians, to ensure that statistical methods are aligned with the goals of the project;
• Communicate complex technical information to non-technical stakeholders in a clear and concise manner;
• Stay up-to-date with the latest developments in statistical methodology and software tools.

• Education: Bachelor's degree in Statistics, Computer Science, Mathematics, or related field;
• Experience: At least 8 years of experience in SAS programming and statistical analysis, preferably in the pharmaceutical industry;
• Skills: Strong programming skills in SAS and R; experience with CDISC standards (SDTM and ADaM); excellent communication and collaboration skills;
• Qualifications: Ability to work independently and as part of a team; strong analytical and problem-solving skills; ability to prioritize tasks and manage multiple projects simultaneously.

• Competitive Salary and Benefits Package;
• Opportunities for Professional Growth and Development;
• A Collaborative and Dynamic Work Environment;
• Flexible Working Arrangements and Remote Work Options;
• A Recognition and Reward Program for Exceptional Performance.