Biostatistician II-Environmental Medicine & Public Health

Key Skills

Analytical and Problem solving, Biostatistics, Environmental, Machine learning techniques, Microsoft-Excel, Planning and organization, Powerpoint, Public Health, Statistics

Job Description

This position is available in the research lab of Dr. Rafael de la Hoz. http://icahn.mssm.edu/profiles/rafael-e-de-la-hoz

Responsibilities

• Prepares statistical analysis plans, timelines for statistical project management and performs and interprets basic and complex analyses. Utilizes knowledge of statistics and medical understanding to propose and perform additional analyses when appropriate.
• Documents analyses, creates summaries and presents written and verbal results to requestors.
• Writes statistical text for study reports and clinical publications. Prepares analysis plans and methods used for incorporation in abstracts, manuscripts and grants.
• Identifies potential data problems from analytic queries and takes appropriate actions to guide the resolution process.
• Collaborates with principal investigators, sponsors and external representatives to ensure that project results and conclusions are presented accurately and without bias and to jointly achieve objectives and timelines.
• Provides quality review on statistical analysis plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol.
• Adheres to standard operating procedures of the functional department as they apply to documentation and validation of clinical research statistics.
• Provides consultation to the clinical research project team on statistical issues related to the project.
• Performs statistical programming to implement complex statistical analysis plan. Manipulates databases to obtain and analyze variables as required.
• Mentors and trains less experience staff
• Performs other related duties.

Qualifications

• Master’s degree in biostatistics or related field. PhD degree preferred
• PhD degree or 3 years of biostatistics or related experience in clinical research. Interest and/or experience in respiratory and/or obesity research would be desirable. Proficiency and/or experience with advanced statistical techniques, multivariable and longitudinal data analyses, cluster and latent growth modeling are required. Experience with and/or interest in machine learning approaches would be desirable. 
• MS Word, Powerpoint, Excel, and Outlook – Advanced
• SAS or similar application – Advanced 
• MS Outlook - Basic
• Excellent written, oral and interpersonal skills
• Demonstrated analytical and problem solving skills
• Excellent organizational skills
• Detail-Oriented

Employer Description

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

We work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to professional advance. We share the belief that all employees, regardless of job title or expertise contribute to the patient experience and quality of patient care.

 Explore more about this opportunity and how you can help us write a new chapter in our history!