Principal Statistical Programmer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Principal Statistical Programmer, your primary responsibilities are:

• Design, validate or advise on the optimal SAS programming specifications, requirements, code, formatted statistical output and documentation for the implementation of novel methods in clinical trials
• Advise biostatisticians, data scientists and machine learning scientists
• Advise applied biostatisticians on efficient programming approaches, best practices, and standards around verification and validation of model performance 
• Conduct, validate, or advise on sample size estimates for trials that will use Digital Twins and PROCOVA™
• Review and advise on draft statistical analysis plans for trials that use Digital Twins and PROCOVA™
• Execute programming of analyses specified in statistical analysis plans
• Present statistical results to study biostatisticians

Requirements:

• Masters in Biostatistics or equivalent experience with an advanced degree in a similar field
• At least 8+ years of experience in healthcare supporting clinical research 
• Proficiency in SAS data step, statistical procedures, and macro programming
• Experience with randomized controlled trial studies

Compensation & benefits

This role has an annual salary range between $150,000-190,000 commensurate with experience as well as a competitive benefits package, including:

• Generous equity participation
• Unlimited PTO plus company holidays
• Annual company-wide break December 24 through January 1
• Professional development budget to attend conferences or other events
• 401k plan with generous matching
• Company-subsidized medical, dental, & vision insurance plans
• Commuter benefits plan
• Paid Parental Leave

Unlearn is an equal opportunity employer.

We embrace diversity and create an inclusive work environment because inclusion and diversity are essential to achieving our mission to create AI to simulate biology and improve patients' lives. We encourage you to apply even if you do not meet all the requirements listed above.