The Director Programming provides operational leadership for the bioinformatics programming function, evaluating workloads, resources, processes and technology to ensure efficient operation and quality output.
Responsibilities
Manage staff including interviewing, selection, job description preparation, professional development, goal setting, performance management, coaching and mentoring
Approve courses of action on salary administration, hiring, corrective action and terminations
Review and approve time records, expense reports, leave and overtime requests
Promote all aspects of the company’s Equal Employment Opportunity policy and Affinity Action Plan
Inform senior leadership of department activities, accomplishments and needs
Requirements
MS/MA in Computer Science, Statistics, Biostatistics, Mathematics or related field
Bachelor’s degree in Computer Science, Statistics, Biostatistics, Mathematics or related field or equivalent
Nice to have: Clinical trial experience as a statistical programmer
Provide statistical support for assigned clinical studies under the guidance of the Biometrics/Biostatistics Team Lead or other senior statistical leadership.
Compensation
Target Base Pay Range: $116,000.00 - $151,000.00
Responsibilities
Provide statistical support for assigned clinical studies under the guidance of the Biometrics/Biostatistics Team Lead or other senior statistical leadership.
Collaborate with clinical, data management, statistical programming, and other cross-functional team members to support study activities.
Contribute statistical input to study design, protocol development, endpoint definition, and analysis planning.
Prepare and review assigned statistical analysis plans, case report forms, clinical database specifications, validation plans, table, figure, and listing shells, analysis dataset specifications, and related documentation.
Perform statistical analyses, simulations, and ad hoc analyses as needed.
Requirements
Master's degree in Statistics, Biostatistics, or related field
Ph.D. preferred
Nice to have: R or other statistical software
Nice to have: experience with external vendors or contract research organizations
Support credit risk analytics activities across model development, independent validation, monitoring, and business reporting.
Conduct data extraction, reconciliation, quality checks, and analytical review using tools such as SQL, SAS, Python, Excel, and PowerPoint.
Translate analytical findings into clear insights and communicate results to model development, validation, business, and risk stakeholders.
Maintain clear documentation of analysis, validation observations, reporting logic, assumptions, and key findings.
Assist in the development and enhancement of IFRS 9 models, including PD, LGD, EAD, expected credit loss, and related risk estimation frameworks.
Requirements
Masters in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.
Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline.
A senior-level leadership position focused on overseeing the end-to-end statistical programming lifecycle, combining technical oversight, project management, and cross-functional collaboration.
Compensation
The expected base salary for this position is: $153616.00 to $199501.00. We are committed to compensating employees equitably based on several factors including experience, education, licensure/certifications, skill level, location of the position, and availability of similar talent in a competitive market. Subject to eligibility and applicable plan terms, compensation includes base salary, annual discretionary bonus, long term incentive, 401(K) plan with employer contribution, health care and other insurance benefits (for employee and family), paid holidays, vacation, and sick days.
Responsibilities
Lead or Co-ordinate statistical programming activities of all programmers either internally or externally assigned to the study/project work
mentor other programmers in functional expertise and processes
Make statistical programming decisions/recommendations at study or project level
Comply with company, department and industry standards (e.g. CDISC) and processes
responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results
SAS Data Engineer and Administrator responsible for managing and optimizing the SAS platform, and designing and implementing data engineering solutions using SAS technologies.
Responsibilities
Install, configure, and maintain SAS software and related components.
Monitor and troubleshoot SAS platform performance, ensuring high availability and reliability.
Manage user access, security, and permissions within the SAS environment.
Collaborate with other IT teams to integrate SAS with other systems and applications.
Design and develop data integration processes using SAS Data Integration Studio.
Lead and manage the statistical programming team to ensure efficient and high-quality deliverables across multiple therapeutic areas within immunology.
Responsibilities
Oversee a team of statistical programmers
Provide strategic guidance on programming activities
Ensure compliance with regulatory requirements
Develop and maintain standard operating procedures
Collaborate with cross-functional teams
Requirements
MS in Statistics, Computer Science or related field
BS in Statistics, Computer Science or related field
Nice to have: Immunology experience
Nice to have: Experience utilizing AI in statistical programming activities
A key leadership role responsible for overseeing a team of both new and experienced programmers to ensure efficient and high-quality deliverables within specific therapeutic areas, particularly immunology.
Responsibilities
Oversee and manage a team of statistical programmers to ensure efficient and high-quality deliverables.
Ensure all programming activities align with the overall clinical development strategy.
Collaborate closely with cross-functional teams to provide strategic input and support decision-making processes.
Establish and maintain standard operating procedures to ensure compliance with regulatory requirements and industry best practices.
Review SAS programming techniques and strategy, identifying limitations and correcting flaws.
Lead and manage the statistical programming team to deliver high-quality, compliant programming outputs for clinical trials in immunology.
Compensation
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range.
Responsibilities
Oversee and manage a team of statistical programmers
Provide strategic guidance on programming standards and database design
Collaborate with cross-functional teams to support decision-making
Ensure compliance with regulatory requirements and ICH guidelines
Mentor and train staff
Requirements
MS in Statistics, Computer Science or related field
BS in Statistics, Computer Science or related field
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