Associate Statistical Programmer

1 week ago


Bengaluru, India Alcon Full time

Summary:
Key contributor responsible for statistical programming of deliverables for assigned studies or project-level activities under guidance of a Trial Programmer.

Major Accountabilities:

- Create primary program to generate deliverables in accordance with TFL shells, programming instructions and programming dataset specifications
- Validate deliverables
- Ensure quality, timely and efficient completion of deliverables
- Seek solutions to programming issues and escalate as needed
- Establish and maintain working relationships with team members of assigned studies or project-level activities. Effectively communicate the status of deliverables and any risks to Trial Programmer and supervisor

Key Performance Indicators:

- Quality and timeliness of all assigned deliverables
- Compliance with internal and external standards as measured by audit findings
- Works effectively under general supervision of supervisor or Trial Programmer

Impact in the Organization:

- Timely and high quality SP deliverables. Delays and errors in deliverables may impede submissions or other product developments and subsequent revenue loss to the company
- Ensuring external quality reputation of Alcon with Health Authorities

Competency Profile:

- Good SAS programming skills
- Excellent written and oral communication
- Ability to work well with others globally

**Language**:
Ability to fluently read, write, understand, and communicate in English

**Education**:
BA/BS/MS degree or equivalent experience in mathematics, statistics, computer science, health sciences or related field

Preferred Requirements

Programming experience in the pharmaceutical or medical device industry

Work hours: 1 PM to 10 PM IST

Relocation assistance: Yes

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Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.



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