Principal Statistical Programmer

Biopharma Careers; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Sanofi Hyderabad seeks a Principal Statistical Programmer to join their Medical Affairs biostatistics group. You will implement analysis plans and deliver publishable data packages, with SAS macros and advanced techniques.

Maintain SOPs and ensure timelines and data quality are met while collaborating with global teams. Candidates should hold a Master’s degree with substantial experience or a BSc with extensive relevant work, and possess excellent English skills and CDISC SDTM/ADaM proficiency.

Qualifications

• Master’s degree with at least 6 years relevant experience.
• Bachelor’s degree with at least 8 years relevant experience.
• Excellent English language skills.
• Strong SAS programming and CDISC SDTM/ADaM experience.

Responsibilities

• Implement statistical analysis plans and provide QC’d data packages for publications.
• Develop and document SAS macros and advanced programming techniques.
• Ensure SOPs, timelines, and data quality are met.
• Collaborate with Global Medical Affairs biostatistics and programming teams.

Skills

SAS programming

CDISC SDTM/ADaM

Clinical data management

Education

Master of Science or related field

Bachelor of Science or related field

Tools

SAS

Job description

About the job

Our Team:

Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally.

Main responsibilities

The Principal Statistical Programmer will work with Medical Affairs biostatisticians and/or programmers and Sanofi Business Operations biostatistics and programming personnel to implement statistical analysis plans and provide QC’d data packages including tables, figures, and listings for use in publications (i.e. abstracts, posters, oral, presentations, manuscripts and ad-hoc data analysis requests);The Principal Statistical Programmer will develop, implement, and document non-routine macros and advanced techniques; The Principal Statistical Programmer will ensure SOPs are followed and timelines and quality are met; Collaboration of Local biostatistics and programming teams, Global Medical Affairs biostatisticians and Global Medical Affairs Scientific Communications personnel

People

• Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and/or programming team members within the allocated Global business unit and product – with an objective to develop statistical data outputs.
• Coach/mentor new team members to support efficient and quick onboarding.
• Support graduate hiring program as needed

Performance / Process

• Conduct appropriate post-hoc statistical analyses of clinical trial data and/or registry.
• Design, develop, test, implement, and document statistical programming in high-level software packages e.g. SAS.
• Produce well documented data packages that include tables, listings, and figures.
• Remain current on advanced programming methods.
• Work closely with the Global Medical Affairs biostatisticians and/or programmers to develop and implement project QC plans and timelines.

Customer

• Work closely with Global Medical Affairs biostatisticians and/or programmers to identify statistical analysis needs and assist in developing assigned deliverables.

About you

Experience

Master's degreeminimum 6years/B.Sc.minimum 8years ofrelevantexperience required

Soft skills

Stakeholder management, Ability to manage timelines and Ability to work independently and within a teamenvironment, Autonomy in the management of activities; ability to manage multiple conflicting high priority deadlines

Technical skills

Advance SAS programming skills, SDTM &ADaM (CDISC) and clinical data environment across multiple therapeutic areas

Education

Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field.

Languages

Excellent English language knowledge – written and spoken

Pursue progress , discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

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