Data Analytics Manager, Seaver Autism Center for Research & Treatment, Department of Psychiatry

Job Description

Strength Through Diversity

Ground breaking science. Advancing medicine. Healing made personal.

Roles & Responsibilities:

The Seaver Autism Center for Research and Treatment in the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai is a fully integrated translational research center dedicated to discovering the biological causes of autism spectrum disorder (ASD) and other neurodevelopmental disorders and developing breakthrough treatments. Our mission is to bridge the gap between new discoveries at the basic science level and clinical care by developing new and improved approaches to autism diagnosis and treatment. The Seaver Autism Center is committed to serving individuals of all levels of functioning and takes a unique genetics-first approach to autism research. Investigators at the Seaver Center have strong collaborations with the Departments of Psychiatry, Neuroscience and Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai. We also collaborate with several other institutions, nationally and internationally.


We are seeking a talented, enthusiastic and self-motivated individual to join our team as a Clinical Database Analyst/Manager. The Clinical Database Manager partners with researchers at the Seaver Autism Center and our collaborators on innovative projects aimed at understanding the genetic basis of autism and related neurodevelopmental disorders, how to move findings from the lab to the clinic, and the impact of interventions on various patient populations.


Duties and Responsibilites:

  • Helps define and deploy a comprehensive computational and data management vision for Mount Sinai researchers
  • Establishes SOPs for data collection, management and transfer
  • Develops and maintains clinical database(s)
  • Works closely with Principal Investigators and Study Coordinators on clinical data management needs in order to customize and query data according to each specific study
  • Oversees data entry and  performs quality assurance audits to validate data in preparation for analysis by biostatisticians
  • Performs clinical data extraction, cleaning, quality control and consistency checks on clinical information and case report forms in order to provide/generate user-friendly data frames for subsequent statistical analyses
  • Oversee and manage diverse team members responsible for data entry
  • Review data for inconsistencies or anomalies
  • Develops and implements data backup policies
  • Provide end-to-end technical support and problem resolution
  • Make recommendations for software, hardware and data storage upgrades
  • Ensures that data security and integrity is maintained
  • Ensure digital databases and archives are protected from security breaches and data losses
  • Maintains electronic data capture system (e.g. REDCap), develops/designs case report forms and data entry screens
  • Assists in the organization and logical transfer of MTA’s and DTA’s to/from the Seaver Autism Center for Research and Treatment
  • Interacts with external vendors and serves as technical liaison with the institutions Information Services representatives in coordination of equipment, network applications and access to Sinai network servers
  • Tests and debugs software for accuracy completeness and system integrity to ensure quality control
  • Performs other related duties
  • Masters in computer science, information systems management or related field (statistics, operations research, public health)
  • Minimum two (2) years' experience of data management in clinical research and have experience working in other software platforms relevant to clinical research (REDCap, R, perl, python, SAS, Microsoft Office and internet applications)
  • Ability to work with large data sets
  • Understanding of biostatistics and clinical research
  • Knowledge of R and other programming scripting language
  • Working knowledge of electronic data capture systems, specifically REDCap
  • Excellent programming ability in SAS statistical software
  • Immediate proficiency with Microsoft Office applications, use of file transfer protocols and cloud storage software
  • Excellent oral and written communication skills
  • Great interpersonal skills and flexibility to work in a collaborative environment
  • Excellent organizational skills, including the ability to multitask, set priorities and meet time tables while managing several simultaneous projects
Strength Through Diversity

The Mount Sinai Health System believes that diversity is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. 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 work hard to acquire and retain the best people, and to create a welcoming, nurturing work environment where you can develop professionally. We share the belief that all employees, regardless of job title or expertise, can make an impact on quality patient care.


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

Who We Are

Over 38,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.


Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospital campuses, including Mount Sinai Beth Israel, Mount Sinai Beth Israel Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke’s, and New York Eye and Ear Infirmary of Mount Sinai.


The Mount Sinai Health System is an equal opportunity employer. We promote recognition and respect for individual and cultural differences, and we work to make our employees feel valued and appreciated, whatever their race, gender, background, or sexual orientation. 


EOE Minorities/Women/Disabled/Veterans

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