Statistical Scientist Job Description
Statistical Scientist Duties & Responsibilities
To write an effective statistical scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included statistical scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Statistical Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Statistical Scientist
List any licenses or certifications required by the position: SAS, HPF, SQL
Education for Statistical Scientist
Typically a job would require a certain level of education.
Employers hiring for the statistical scientist job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Computer Science, Biostatistics, Mathematics, Science, Education, Biology, Genetics, Communication, Management
Skills for Statistical Scientist
Desired skills for statistical scientist include:
Desired experience for statistical scientist includes:
Statistical Scientist Examples
Statistical Scientist Job Description
- Lead the review of RFPs and QIPs
- Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage scope, and provide revenue and resource forecasts for single studies
- Fulfill the Advisor/Lead role for a group of studies or integrated summaries
- Work within a team of informaticists, programmers, database administrators, and clinical scientists, external collaborators to analyze data from multiple health system partners
- Conduct data analysis, with primary responsibility for developing epidemiologically sound analytical approaches, designing QC and follow up strategies, and interpreting results to identify genomic variants influencing clinical and biomedical traits
- Close collaboration and coordination with external health system collaborators and bioinformatics teams in mining EHR and phenotypic data sets
- Execute the analyses in a timely, accurate and reliable manner
- Communicate findings clearly to diverse stakeholders and document work for training and replication purposes
- Keep abreast of new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance
- The Senior Statistical Programmer will gather and interpret user requirements for analysis and programming requests in close collaboration with statistical and clinical colleagues, retrieve the required data, and then transform the data into analysis datasets for further statistical analysis and reporting needs
- Proven experience with predictive analytics, data mining of structured and unstructured data, and segmentation within the consumer marketing analytics space
- Proven ability to effectively communicate results of advanced analytical methods to a broad audience, including senior leadership
- Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field
- PhD in Statistics (or equivalent degree/knowledge)
- Director - 10+ years industry experience /Associate Director 6-8+ years negotiating and influencing (pre/early/full-) clinical development programs establishing, with global leadership of the statistical sciences within the development plans, across multiple disease areas
- Strong disease area and guidelines knowledge
Statistical Scientist Job Description
- The programming analyst will also write programs to analyze data with statistical methods which are not currently available through commercial software packages
- Key areas of focus may include (1) pre-processing, filtering, and manipulating complex data for the analyses of molecular biomarker data, imaging data, and external data other than traditional laboratory data, (2) technical consultation and analytical support to early clinical development statisticians for exploratory and unplanned statistical analyses, (3) preparation of compliant programming code for regulatory submissions
- Member of clinical team, collaborating in preparation of Clinical Development Plans and target product profiles
- Leads cross-functional teams in overseeing the generation of health authority submission datasets and associated documentation and participates in health authority meetings
- Provide statistical input into and review of statistical deliverables
- Identify knowledge or technology gaps, and generate ideas to address those
- Develop and apply statistical inference techniques to support various aspects of an autonomous drilling system (state and parameter estimation, diagnosis, control, and planning)
- Test and validate solutions through simulations, full-scale experiments and oilfield data
- Keep up to date and expand your knowledge in the field of expertise and the oilfield domain
- Engage with business and engineering teams to ensure solutions have a significant impact
- Track record in identifying and leading contribution to external white-papers/policy shaping best practice statistical science
- Has internally and externally strong and established track record of developing/establishing statistical excellence
- Established experience in leading global scientific improvement/change initiatives
- Strong interpersonal and communication skills bridging scientific and business needs – integrating quantitative sciences, strong disease area knowledge and appropriate market/competitive intelligence
- Strong background in statistical genetics, experience with genetic association analyses
- Expertise acquired from working with NextGen sequencing platforms
Statistical Scientist Job Description
- Apply statistical methods to deep analyze business and work as a data guideline
- Responsible for cutting-edge statistical methods.Research and solve algorithm problems
- Collaborate with university partners and other scientists and engineers in a multidisciplinary work environment
- Work with existing “intrapreneurship” and business teams to develop and help commercialize robust models
- Develop, plan, and co-ordinate programming documentation including programming plans and specifications, as appropriate, for complex studies and groups of studies
- Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to SP teams and the Statistical Programming department, for complex studies
- Fulfill project responsibilities at the level of Project Lead for group of studies or integrated summaries
- Perform internal training, orientate and induct new staff, and perform role of mentor
- Provide expert statistical input into and review of statistical deliverables Statistical Analysis Plans and Mock Shells, Specifications for Data sets and Outputs, Data Review Meetings (internal and external), Tables, Listings, Figures, Protocols and Clinical Study Reports
- Supervise staff in accordance with organization’s policies and applicable regulations
- Strong computational background
- Design and build enhancements to existing models currently in-use by Gain Theory
- Contribute to the development of new models as needs arise
- Collaborate across Gain Theory, to include the off-shore teams
- Manage schedules and overall project status to ensure requirements and project deliverable dates are clearly communicated, understood and executed upon
- Effectively and efficiently plan tasks and deliverables
Statistical Scientist Job Description
- Design, develop, test, and implement SAS-HPF statistical modeling methodology
- Coach analysts in addressing statistical modeling issues identified in periodic statistical forecast review sessions with business partners
- Collaborate with Demand Planning business process leads to align business requirements with systems and process solutions that ensure overall Nestle objectives are met
- Provide analytics knowledge and support to the business process lead network
- Research, design, development and evaluation of first-of-kind clinical service solutions
- Creating project plan, and collaborating with a team of research scientists to develop prototype solutions for healthcare KPI and Performance QI Analysis
- Employ the existing (and develop new) Machine Learning algorithms that can find (predictive) patterns in large multi-modal data
- Provide innovative solutions for business problems (e.g., by translating complex commercial problems to Machine Learning problems)
- Creation of extremely advanced technical documents for auditors and government agencies as appropriate
- Identify data quality issues and drive their resolution with whoever is appropriate for the given issue
- Actively manage project risks to recognize/predict potential problems and proactively identify solutions to address
- Communicate and document project status to team members on a regular basis
- MS in Computer Science or related technical field required
- 5+ years related work experience in Analytics
- Deep knowledge of data mining tools (Python, R, and Vertica) specifically within the area of developing productized analytical workflows
- Prior knowledge of the advertising ecosystem, understanding of marketing/media metrics, and analytical products offered as a service is preferred but not required
Statistical Scientist Job Description
- Apply and develop robust statistical and computational approaches to analyze population genomic and phenotypic data to enable disease/target/biomarker identification and evaluation, exploring mechanism of action, and identification of genetic causal links to disease or subtypes of disease
- Work closely with project teams and functional areas to identify and provide computational solutions to address key biological questions, including identifying datasets, formulating hypothesis, developing and implementing analytical solutions
- Evaluate and develop bioinformatics methods to integrate, summarize and report genetic, genomic, and other omics data, examples include GWAS, RVAS, Mendelian randomization, RNA-seq, scRNA-seq, WES/WGS, Hi-C and many other emerging high-throughput genomics, epigenomics, proteomics, and metabolomics data
- Accountable for the quality and timely delivery of datasets and displays required for their clinical study reports other asset level deliverables they may be programming
- Ensures appropriate documentation and QC across the lifespan of the study for all of their programming deliverables
- Will be knowledgeable in core safety standards TA standards pertinent to their project, may aid in development of standards necessary for their study
- Overhead work (time sheets/training departmental meetings )
- You will act as a regional technical expert supporting the delivery of statistical outputs within the area of Biostatics and provides statistical consultancy
- Develop operational systems and research processes across area of responsibility to increase the effectiveness and efficiency of projects
- Act as a source of knowledge in area of expertise, defining and communicating important initiatives across departments and functions
- Experience in the Oncology clinical trial environment working with oncology cancer data, completing statistical programming deliverables for Clinical Study Reports
- BS plus a minimum of 5 years or MS plus a minimum of 3 years SAS / R programming experience in a clinical trial environment
- Broad knowledge and significant experience in developing analysis and reporting statistical programming deliverables (datasets, statistical analysis, report tables and graphics) for research and development projects
- Significant experience in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH, graphics experience
- Utilizes and contributes to the development of standard departmental SAS macros
- Understanding of statistical terminology and concepts