Statistical Programmer 1 (DM SAS Listings Team)

Fortrea; Bengaluru; Hybrid; INR 900,000 - 1,200,000; Full time

Job summary

Fortrea in Bengaluru is seeking a Statistical Programming professional to support clinical trial projects by developing, validating, and maintaining SAS programs and outputs for data management, analysis, and reporting.

The role emphasizes collaboration with Clinical Data Management and other stakeholders, ensuring quality, accuracy, and timely deliverables in a hybrid office environment.

Qualifications

• Bachelor's degree in CS, Life Sciences, Math, Stats, or related field.
• English speaking/writing required.

Responsibilities

• Provide Statistical Programming support for clinical trial projects.
• Develop, validate, and maintain SAS programs and outputs for management, analysis, and reporting of clinical trial data.
• Develop and maintain data transfer programs in accordance with client specifications and project requirements.
• Review draft and final production outputs to ensure quality, accuracy, and consistency.
• Collaborate with cross-functional teams including Clinical Data Management and Statistical Programming.

Skills

SAS programming

English language proficiency

Cross-functional collaboration

Education

Bachelor's degree in computer science, Life Sciences, Mathematics, Statistics, or a related discipline

Tools

SAS

SAS macros

Job description

• Provide Statistical Programming support for clinical trial projects.
• Develop, validate, and maintain SAS programs and outputs for the management, analysis, and reporting of clinical trial data.
• Develop and maintain data transfer programs in accordance with client specifications and project requirements.
• Develop Data Management (DM) SAS listings as per client specifications and study standards.
• Review draft and final production outputs to ensure quality, accuracy, and consistency.
• Take ownership of the quality and integrity of all assigned deliverables.
• Collaborate effectively with cross-functional teams, including Clinical Data Management, Statistical Programming, and other project stakeholders.
• Effectively prioritize and manage multiple studies, tasks, and competing priorities in a fast-paced environment, consistently delivering high-quality results while meeting project timelines and deliverables.
• Demonstrate a positive and professional attitude, contributing to a collaborative and productive team environment.
• Continuously develop technical, industry, and project-related knowledge and skills.
• Maintain a high level of attention to detail and ensure all work is delivered to the highest quality standards.
• Develop strong problem-solving skills and proactively seek guidance from senior Statistical Programming staff when required.
• Gain knowledge of broader Statistical Programming activities and responsibilities under the guidance of senior team members.
• Adhere to Fortrea Standard Operating Procedures (SOPs), Good Clinical Practice (GCP), and Quality Management System (QMS) requirements.
• Support process improvement initiatives and contribute to operational excellence within the department.
• Perform additional duties and responsibilities as assigned by senior Statistical Programming staff or management.

Summary Of Responsibilities

• Provide Statistical Programming support for clinical trial projects.
• Develop, validate, and maintain SAS programs and outputs for the management, analysis, and reporting of clinical trial data.
• Develop and maintain data transfer programs in accordance with client specifications and project requirements.
• Develop Data Management (DM) SAS listings as per client specifications and study standards.
• Review draft and final production outputs to ensure quality, accuracy, and consistency.
• Take ownership of the quality and integrity of all assigned deliverables.
• Collaborate effectively with cross-functional teams, including Clinical Data Management, Statistical Programming, and other project stakeholders.
• Effectively prioritize and manage multiple studies, tasks, and competing priorities in a fast-paced environment, consistently delivering high-quality results while meeting project timelines and deliverables.
• Demonstrate a positive and professional attitude, contributing to a collaborative and productive team environment.
• Continuously develop technical, industry, and project-related knowledge and skills.
• Maintain a high level of attention to detail and ensure all work is delivered to the highest quality standards.
• Develop strong problem-solving skills and proactively seek guidance from senior Statistical Programming staff when required.
• Gain knowledge of broader Statistical Programming activities and responsibilities under the guidance of senior team members.
• Adhere to Fortrea Standard Operating Procedures (SOPs), Good Clinical Practice (GCP), and Quality Management System (QMS) requirements.
• Support process improvement initiatives and contribute to operational excellence within the department.
• Perform additional duties and responsibilities as assigned by senior Statistical Programming staff or management.

Qualifications (Minimum Required)

• Bachelor's degree in computer science, Life Sciences, Mathematics, Statistics, or a related discipline.
• Fortrea may consider relevant and equivalent experience in lieu of educational requirements.
• Language Skills Required: Speaking: English required Writing/Reading: English required

Experience (Minimum Required)

• 1 to 3 years of SAS programming experience in the CRO or Pharmaceutical Industry, or an equivalent combination of education, with a solid understanding of programming fundamentals and program development principles.
• Mandatory experience in developing and maintaining vendor data programs.
• Experience in coding, database reconciliation, PK deviation analysis, and development of custom listings is advantageous.
• Experience in SAS macro development, debugging, and working with complex macros would be an advantage.
• SAS certification is desirable but not mandatory.
• Understanding of the clinical trial process.
• Ability to work effectively with cross-functional teams and stakeholders.
• Results-driven with a strong focus on delivery and accountability.
• Strong attention to quality and continuous improvement.

Physical Demands/Work Environment

• Office environment (Hybrid)

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