Note: The job is a remote job and is open to candidates in USA. St. Jude Children's Research Hospital is a pediatric research institution seeking a Biostatistician, Global Analytics, to provide analytic and research expertise to teams in the Department of Global Pediatric Medicine and St. Jude Global. The role supports clinical studies, global surveys, and research projects through data management, statistical and epidemiological analysis, study design, reporting, and collaboration with investigators.
Responsibilities
- Provide knowledge in statistical and/or epidemiological analysis to researchers conducting basic, translational, clinical, and/or population science studies designated by collaboration areas
- Perform data QA/QC, data management, programming for data preparation, and statistical and/or epidemiological analyses using standard statistical packages
- Perform standard statistical and/or epidemiological analysis, and prepare analysis reports including graphical and table presentations, descriptions of methods used, interpretation of analysis findings, and making valid inferences
- Work under limited guidance of a supervising faculty or designee. Collaborate and consult independently with investigators as required
- Perform other duties as assigned to meet the goals and objectives of the department and institution
- Maintains regular and predictable attendance
Skills
- Bachelor's degree in biostatistics, statistics, epidemiology, or related field
- Minimum Requirement: Bachelor's degree with 4+ years experience in biostatistics and/or epidemiological consulting and/or research
- Experience Exception: Master's degree with 2+ years of experience (OR) PhD with no experience
- Ability to think critically, draw insights and connect the dots
- Openness to change and adapting to changing times with resilience and flexibility
- Learns on the job and applies skills in routine tasks and activities; delivers under supervision and guidance
- Understands the task at hand, seeks out information, and draws conclusions from available data to deliver outcomes
- Adapts quickly to changing priorities to perform as needed in his/her role
- Remains calm when faced with changes to (and in) his/her work
- Skills in communicating complex ideas effectively to diverse audiences and influence others to see different points of view
- Is able to apply knowledge/skills within own area to deliver tasks with limited guidance
- Effectively relays understanding of diverse perspectives
- Can handle communication upwards and downwards as needed
- Presents information in a clear, well thought out way and tailored to the audience
- Focus on setting high targets, following through with actions, and achieving results
- Ability to anticipate roadblocks and circumvent challenges
- Knowledge of the scientific domain and the associated informatics subdomain; ability to translate between scientific and engineering domains
- Familiar with fundamental scientific and data sciences concepts
- Seeks resources and asks questions to develop deeper understanding of concepts relevant to work area
- Can occasionally propose solutions (e.g., software applications, statistical models, etc.) based on application of scientific domain concepts
- Can occasionally use domain knowledge to assess quality of data/results at a coarse level
- Ability to transfer knowledge of own area within Data Sciences by documentation, sharing, teaching, and training
- Assists with in-house training programs, user groups, seminars, documentation, and newsletters
- Assists in the development and delivery of courses/ training
- Can train users on relevant tools and technologies (e.g., software, databases) within the area of data sciences (e.g., biochem, biostats, image analysis)
- Ability to understand data in the context of study design and methods
- Skills in conducting data QA/QC and resolving any data issues to prepare analytical files for statistical/ epidemiological analysis
- Basic understanding of data characteristics, data-collection methods, and aspects of missing data; applies this knowledge to data preparation and analysis
- Ability to code for effective data management using statistical software packages
- Skills in carrying out analysis using appropriate statistical/ epidemiological methods and communicating with the investigator and study team
- Basic understanding of efficient computational flow/algorithm and programming and scripting for various computations
- Documents and organizes programs for later retrieval, use, and sharing
- Some understanding of various statistical/ epidemiological/ pharmacometrics methods
- Communicates assumptions, applications, and results of various statistical/ epidemiological/ pharmacometric methods for different research settings
- Performs routine job-related tasks and activities under limited guidance
- Ability to understand research objectives and hypotheses
- Skills in designing experimental and research studies by providing sample size/power consultation, and preparing a statistical/epidemiological analysis plan
- Gains understanding of specific aims of each research project in the context and language of biological, clinical, and/or population sciences
- Learns how to translate scientific issues to quantitative analyses, weighing advantages and disadvantages of different analytic approaches, and jointly making analytic decisions with investigators
- Master's degree preferred
- Experience in standard statistical and/or epidemiological methods, statistical software programming, and/or study design is preferred
Benefits
- This position may be eligible for remote work.
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