• Creates queries to determine the clinical effectiveness and ensures compliance with regulatory requirements.
• Performs/supports validation of data management system.
• Performs research for data collection and protocol topics.
• Assists with the creation and maintenance of documentation for clinical studies, following CRF guidelines and other guidelines.
• Participates in the development of a data management plan, reconciliation guidelines, and report specifications.
• Produces and reviews metric reports for internal/external project teams.
• Performs statistical analysis of clinical trial data, documenting and analyzing the data, and communicating with the data management and analytical laboratory personnel 
• Ensure that any outlier data, data issues and discrepancies are resolved when found
• Conducts analysis of data utilizing various analytical methods using the provided software
• Partners with study teams to ensure accurate and timely reporting

Skills: Query Development, Regulatory Compliance, Data System Validation, Research Methodology, Documentation Management, Data Management Planning, Statistical Analysis, Team Collaboration

• Support and handle all sales analysts requests related to SalesForce Lightning. 
• Being the first point of contact for Sales Analyst requests.
• Update Event Record Types directly in the system (picklist values, fields hiding/unhiding in SF Lightning)
• Provide testing of new enhancements in the SF Lightning, support Sales Analysts in this task.
• Support different SFE department initiatives related to SF Lightning (Segmentation of customers, sales planning, etc.)
• Consolidate and analyze data from SF Lightning through Reports
• Provide ideas and initiatives, how to improve the SF Lightning system and make it user friendly.
• Contribute to team effort by accomplishing related results
• Develops tables, views, and dynamic reports within SQL

Skills: Salesforce Lightning Expertise, Customer Support, System Configuration, System Testing, Strategic Sales Planning, Data Analysis, System Improvement Initiatives, SQL Reporting

• Support operational needs by performing complex analyses on a wide range of organizational data. 
• Investigate and uncover root causes, identify trends, etc. and propose solutions.
• Achieve results by effectively leveraging expertise in healthcare/managed care data including, but not limited to, membership, provider, claims, authorizations, pharmacy, risk adjustment and financial information.
• Commitment to customer service achieved through timely, accurate, and supportable deliverables.
• Support customer needs for what-if scenario analysis by developing analytical tools/models.
• Ensure understanding of customer needs by proactively clarifying scope and requirements and keeps customers apprised of project status through effective communication.
• Achieve high-quality deliverables by identifying each assumption and the underlying methodology in order to assure accuracy in executing projects.
• Manage multiple department projects by effectively prioritizing work and communicating workload issues to management.
• Develop and maintain up-to-date knowledge of the Data Warehouse and other organizational data sources.

Skills: Complex Data Analysis, Root Cause Analysis, Healthcare Data Expertise, Customer Service, Scenario Modeling, Effective Communication, Project Management, Data Warehouse Proficiency

• Develop databases and conduct analyses of clinical data
• Develop reports and statistical information to be used by management, administrative and/or medical and professional staff.
• Develop, maintain and modify data processing, software programs and report forms.
• Reviews all programming processes to ensure they are aligned with functional goals and procedures
• Assisting with presentation of data required for MMG initiatives and will also train and support staff 
• Maintain professional and technical knowledge by attending educational workshops
• Reviewing professional publications, establishing personal networks, participating in professional societies.
• Collaborate with business stakeholders, lead architects and product managers to deliver a diverse set of analytics
• Manage databases and expand Massive Bio’s data resources
• Designing CRFs which include tracking all new forms and all modifications made

Skills: Database Development, Clinical Data Analysis, Report Generation, Programming Process Alignment, Presentation Skills, Professional Development, Stakeholder Collaboration, CRF Design

• Works on various projects related to the data management aspects of the clinical studies, which help ensure the integrity of the clinical data.
• Acting as a liaison between the user and the Clinical Data Operations (CDO) department for the design of Case Report Forms (CRF).
• Providing input to the content and flow of CRFs.
• Enforcing the pre-defined standards across different functional groups.
• Supporting collection of design requirements and specifications for new clinical data management applications.
• Writing specifications for reports to be created by the Systems Development Group. 
• Testing of new studies set up and custom reports.
• Providing input into how processes are designed and identify productivity improvements within CDO.
• Supporting discrepancy management effort by preparing data clarification forms based on a review of incoming clinical data for missing/incorrect information.
• Performing analysis of clinical data per defined requirements.
• Involving in the review of Standard Operating Procedures (SOPs) and is responsible for maintaining working procedures.

Skills: Data Management, CRF Design Input, Standards Enforcement, Clinical Data Collection Design, Technical Writing, Software Testing, Process Improvement, SOP Review

• Experience with programming languages, including SAS
• Experience with and understanding of clinical trials and clinical data
• Aptitude for mathematical and statistical concepts and data analytics
• Excellent oral and written communication skills: fluent in both Japanese and English
• Experience and ability to work well in a team environment
• Ability to thrive in a fast-moving environment, under time and resource constraints
• High degree of accuracy and attention to detail
• Experience in delivery of technical solution trainings 
• Experience with CDISC databases  
• Experience in a clinical research environment

Qualifications: BA in Data Science with 3 years of Experience

• Experience analyzing and using healthcare claims data, clinical research study design, and/or epidemiology
• Intermediate to advanced programming skills (i.e. Python, R, SAS)
• Knowledge and experience with drug and disease terminology
• Excellent verbal and written communication skills
• Highly analytical and research-oriented
• Demonstrated experience solving complex problems through the use of creative processes and analytical tools and software
• Advanced SAS and SQL programming skills
• Familiarity with Data Modeling best practices
• Data visualization experience (i.e. Tableau, looker)
• Experience following Good Research Practices (GRP) data-handling procedures and guidelines

Qualifications: BS in Public Health with 2 years of Experience

• Experience with data querying languages, and statistical data analysis.
• Experience in handling ETL of large data into SQL Server.
• Experience authoring and modifying SQL Server Reporting Services reports.
• Experience performing SQL Server integration with enterprise applications.
• Effective written, verbal, and interpersonal communication skills
• Ability to maintain confidentiality
• Ability to adapt to multiple and changing priorities
• Advanced knowledge of data analytic tools and techniques 
• Experience with Relevant Analytics tool and/or eClinicalWorks (eCW) 
• Familiar with HRSA, HEDIS, and General Population Health Analytics.

Qualifications: BS in Computer Science with 4 years of Experience

• Experience in a clinical research environment with a good understanding of data management processes
• General knowledge of database terminology and technology
• Knowledge of SQL would be a strong asset
• Strong analytical, interpersonal, and organizational skills
• Ability to meet tight deadlines and work independently
• Fluency in English is essential (any other language is a strong asset)
• Knowledge of industry regulatory and clinical data standards including 21 CFR Part 11, ICH E6 (GCP), CDISC standards, MedDRA, WHODRUG, etc.
• Previous clinical experience in a managed care, pharmaceutical, or PBM environment
• Experience working with large/complex databases in healthcare and/or pharmaceutical industry
• Proficiency with database programming languages such as SQL.

Qualifications: BA in Health Informatics with 2 years of Experience

• Clinical monitoring experience, global experience 
• Experience in applied business intelligence – i.e. reviewing and analyzing data in order to present information in an understandable and usable format
• Knowledge of ICH/GCP regulations
• Knowledge of FDA Guidance Documents/EU Directives/ICH GCP/device development, and clinical monitoring procedures
• Knowledge of web-based communication tools
• Fluent verbal and written English as well as the local language(s) if required for clinical trial submissions
• Must have a proven track record of successful delivery, including effective management and understanding of data, and accountability for quality and timelines
• Ability to multitask and work effectively in a fast-paced environment with changing priorities
• Excellent organizational and time-management skills, able prioritize work to meet deadlines

Qualifications: BS in Biostatistics with 3 years of Experience