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The successful candidate will develop programs to support the analysis and reporting of clinical trials. In addition, they will design and create analysis databases as well as integrated safety and efficacy databases. Support integrated summaries and electronic submission activities. Actively participate in programming team activities.
Qualifications:
The successful candidate would: Provide support for the creation of CDISC submissions for current and future projects, including mapping legacy data to SDTM. Participate in projects assessing/developing the next generation of CDISC-related tools for data mapping.
Technical skills required:
The Senior Statistical Programmer leads a complex/large project with supervision initially, but with increasing autonomy and accountability. A more senior individual would independently manage a project globally including setting target milestones for statistical reporting deliverables, prepare a comprehensive resource and validation plan, and ensure effective tracking of milestones.
The Senior Statistical Programmer provides input into the protocol and CRFs to ensure that both documents are consistent and creates specifications for analysis datasets, pooled datasets, and listings. Provide input as appropriate to tables and figures for Phase I-IV clinical trials and submission activities to ensure that specifications adhere to the standards of the company and prepares programs for statistical reporting deliverables which includes establishing the programming standards for assigned projects.
Minimum of a BA/BS or equivalent experience in mathematics, statistics, computer science or life sciences or related field(s), with a minimum of 2 years experience required. Experience in SAS software. Working knowledge of database design/structures.
General hiring considerations for permanent employees: prefer to have 1+ years pharmaceutical experience; prefer to have degree in Statistics; SAS savvy; good programming background.
General hiring considerations for contractors: look for people with at least 2 years (4-5 years preferred) of experience in US pharma industry doing programming and analysis. Clinical knowledge and experience are a must. Statistics background is preferred, as well as submission experience. Hands-on experience with data processing and data integration are also important.
Provide clinical programming support for Clinical R&D projects individually or as part of a team. Analyze requirements and computer capabilities to design, develop, validate, maintain and document structured programs and systems for clinical research applications in Clinical R&D multi-platform computing environment.
Analysis: Work with clients to define their business requirements in preparation for developing program solutions. Translate these requirements into technology solutions. Document requirements in preparation for programming.
Programming: Design and develop small to mid-scale systems, including on-line screens, reports, integration code, etc. to meet the functional requirements agreed to by Clinical Programming and their clients. Complete assigned tasks per defined project plan.
Requires a minimum of 3-5 years of programming experience in clinical trial setting using SAS in a large-scale R&D computing environment. Understanding of the drug development process in the pharmaceutical industry. Bachelors or Masters Degree in Computer Science, Mathematics, Statistics, or a related field with relevant experience.
Must Be SAS Certified with experience in Statistics.
Under general direction, support clinical drug development process by writing standard validated programs/macros/procedures which support the monitoring and reporting activities associated with clinical trials. Design structured diagrams based on user requirements and work with other departments where necessary to produce SAS programs or fully integrated applications which will enhance performance of the users. Assures quality by establishing and administering of guidelines and standards for coding, documentation and validation of SAS and application programs/macros/procedures and maintaining libraries of SAS programs and application code written to support clinical drug development.
The Senior Statistical Programmer will be responsible for supporting the reporting and computing responsibilities of the Clinical Development and Medical Affairs Department, specifically the Biometrics unit.
Create programming specifications, lead programming activities and validation work and support clinical teams.
Help develop programming and reporting standards and participate in process improvement activities.
The ideal candidate should have a BS in a computing-related field and at least 3 years of solid programming experience using SAS within the pharmaceutical and/or biotechnology industry. The programming experience should include use of the core SAS products including BASE SAS and its macro facility, SAS/STAT and SAS/GRAPH. The candidate should have a working knowledge of pertinent regulatory guidelines and industry standards as they apply to reporting and programming activities, computer system validation (CSV) procedures and statistical methods; good communication and problem solving skills; and willing and able to work in a team setting.
Responsible for providing programming support for the analysis and reporting of Phase 1-3 clinical trial data. This individual will work interactively with biostatistics, data management, clinical, and regulatory personnel.
Plan, design, develop, implement, validate, and maintain software for the monitoring, reporting, and analysis of clinical trial data in accordance with department SOPs.
Assist in the development of the statistical analysis plan (SAP).
Bachelors degree, preferably in statistics, math, computer science, or similar discipline. A Masters degree in statistics is a plus.
At least 3 years of experience in clinical application development (using SAS) in the pharmaceutical/biotech industry. Experience in the preparation and/or defense of regulatory submissions is a plus.
Proficiency with SAS/BASE, SAS/STAT, SAS macros, SAS/GRAPH, PROC SQL, and PROC REPORT. An understanding of clinical trial principles and regulatory requirements.
Familiarity with CDISC data structure.
Applies intermediate level programming techniques and helps plan, design, develop, implement, and maintain software for the monitoring, reporting, and analysis of clinical trials. Prepares and distributes summarized information to the study team. Reviews and implements data warehouse and database designs.
Education: Bachelors.
SAS: 4+ years (2+ with a Masters); SAS/BASE, macros, PROC SQL, advanced data step, PROC REPORT, PROC TABULATE, and basic SAS/GRAPH.
Clinical Trials: 2+ years of pharma/biotech preferred. Understands Biometrics roles in clinical trials. Understands data flow.
The SAS Programmer/Analyst will review clinical study protocols and CRFs, work with biostatisticians, writers and clinical staff to generate data summarization, analysis and reports; writes and documents programs; writes command files; generates analysis databases in SAS; produces tables, listings and plots presenting data; reviews reports for consistency between text and tables; and performs ad hoc programming.
Bachelor's degree plus 3+ years of related work experience with a strong understanding of specified functional area. Advanced degree preferred.
Drug development experience within Pre-Clinical Development, Clinical Development, or Medical Affairs department.
Fundamental knowledge and understanding of Project Planning and Management.
Function as a Project Lead Programmer with the following key activities:
Represent the programming function and, as required, participate in multidisciplinary team meetings.
Project-manage all programming activities according to agreed resource and timeline plans.
Create, review and approve all programming plans at study and program level.
Participate in technical programming and process improvement initiatives within Global Biostatistics.
BS/BSc degree in Computer Science, Statistics, Mathematics, or Life Sciences. Biostatistical Programming experience using the SAS System.
5 years programming experience in Clinical Trials within a Pharmaceutical, Biotechnology, or Public Health industry setting.
This role works within the Statistical Programming group to initiate departmental SAS programming and output QC standards. The selected candidate will provide SAS programming support for Biostatistics and Data Management. This role will also author SOPs.
Responsibilities:
SAS programming to produce statistical tables, listings and figures.
Produce SAS dataset specifications to facilitate the extraction process to bring data into SAS from the clinical database system.
Minimum of 5 years SAS programming experience including the production of statistical tables, listings and figures in support of clinical trials required.
At least 3-5 yrs experience and proficiency in SAS programming language required for all three open Programmer/Analyst positions. Ability to write reports, business correspondence, and procedure manuals. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form - Managed Care or Healthcare experience is a plus - Bachelor’s degree preferred; equivalent combination of education and experience is acceptable.
Extracting data from an access database or equivalent and ability to query system to create reports to assist in assessing Credit Risk.
Perform research and analysis to verify MIS results & assist in resolving discrepancies.
Analyze Loan Portfolio data and create reports/processes to identify and manage risk.
Preparation of Credit MIS reports and presentations to meet to support senior management to access credit risk.
Identify data integrity items and work with applicable Risk/service and operations areas to improve the integrity.
Responsible to prepare and send files to Credit Risk systems.
Bachelor’s degree required.
Minimum of 3-5 years experience in Credit Risk MIS & Data analysis.
Excellent knowledge of Mathematical computations, computer, Database/data mart management, report applications (Excel, Crystal reports, Excel, Business Objects etc).
Develop and expand Existing Access database, perform Access & SQL queries.
Good working knowledge of Credit Indicators (CIR) and Global Risk Reporting system (GRR).
Experience with Essbase is a plus.
Good knowledge of Filemaker Pro, Oracle, SAS and other applicable databases is a plus.
Strong query and manipulation of database and trend analysis.
Possess strong analytical skills.
Produce, develop and manage monthly and quarterly credit risk measurement processes related to internal and Basel II risk capital assessments and loan loss reserve requirements;
Establish and execute select portfolio stress tests as required under Basel II;
Develop and implement country-level risk measurement processes to meet legal vehicle Pillar 2 requirements;
Review and analyze risk measurement indicators, examine trends and provide appropriate variance analysis for senior management;
Assist in responding to ad hoc requests from various business groups and senior management, carry out ad hoc data analysis and analytical research, and assist in development of new models and reports;
Interact with members of the Credit Risk Analytics team, Basel II project teams, Senior Management, Business Managers, Financial Control, and other groups within the firm.
Work with technology to move processes to a production environment, including review of business and technical requirement documents.
Bachelor’s degree required; Master’s degree a plus.
Strong technical and analytical skills
Three years experience in financial services industry; risk/business experience preferred.
Solid understanding of risk systems and processes; familiarity with risk measurement methodologies (e.g. economic capital, BASEL II) a plus.
Proficiency in MS Office (especially excel) and familiarity with SAS or similar database/statistical software.
Should be able to assess and apply appropriate tools, analytic techniques, and technologies to meet business objectives.
Experience with SAS Base Programming and SAS STAT in PC and Unix environment.
Demonstrated ability to perform data analyses using large datasets.
Ability to acquire data extracts from various external sources, such as text-files and Microsoft Office applications
Analyze medical cost utilization by specialty physicians, hospitals and other providers based primarily on claims, pharmacy, and utilization data.
Utilizing financial tools and statistical analysis, you will evaluate provider performance.
Develop real-time policies and procedures to ensure the accuracy of our measurements and analyses.
Relevant BA/BS degree (Masters' degree preferred) (e.g. Statistics, Finance, Clinical or familiarity with statistics for data analysis).
Demonstrated statistical/financial experience, preferably 3-5 years with some in a health care or insurance setting.
Experience managing large and/or complex data sets.
Acts as a Corporate resource for all data warehouse analytic requests generated from other departments.
Plans, designs and develops all reporting requests for large accounts through utilizing the data warehouse. Generates account reporting on a quarterly and ad hoc basis.
Power MedStat user. Leads projects and provides guidance in corporate data, analysis, report design and MedStat programming to staff members.
Bachelor’s Degree in Statistics, Mathematics, Business or related major.
Minimum two years SAS experience.
Minimum five years health insurance or Health Consulting experience.
provide analysts the opportunity and responsibility for all aspects of business project support for the authorization infrastructure systems and for strategy development and implementation for the payment hold strategy.
Interact successfully with a wide variety of people with varying backgrounds and responsibilities, including interactions with other risk analysts and managers, senior management, operations personnel and managers, and technical development staff.
Bachelor’s degree in Math, Statistics, Business, Finance, Economics, or equivalent; Master’s degree preferred.
3 years proven statistical analysis and/or MIS experience, or equivalent.
Knowledge and experience of financial services industry preferred, familiarity with authorizations is a plus.
Experience in SAS is required. Proficiency in Excel.
Minimum of two years SAS Programming experience required. Working knowledge of Microsoft Access required.
Relevant Work Experience: 2 to 8 years professional SAS programming experience (Base, Macros, SQL, ODS, etc.)
Ability to create complex reports and utilize SAS in a PC environment.
BS Degree (Computer Science or Healthcare preferred)
Healthcare industry experience (provider data, patient data, claims data, medicare & medicaid data, HEDIS, etc.)
Enhancing the database with additional customer-focused data, and more accurate and complete data.
Maintenance of the database to ensure it's properly updated on schedule.
Security of the database and its customer information from non-authorized access.
Provide data analysis and support customer analytic and modeling, marketing campaigns, results tracking, segmentation, list selection, model implementation, field communication delivery, scoring and reporting.
This role requires strong project management skills, analytical skill, experience in advanced SAS programming and knowledge of database management including design and development, in mainframe, Unix and PC environment.
Bachelors or Master (preferred) in computer science, mathematics, economics or marketing.
5+ years data management including database design, database development and/or data analysis.
6+ years SAS programming including advanced macro programming, advanced SQL.
3-5 years experience within Database Marketing department.
Proven experience in project management in technology development environment.
Experience of DBMS Oracle, Teradata, or DB2.
Although you will have solid technical skills, your focus will be on the business. You will see analytics as one tool to assist you in analyzing problems and developing strategies to drive the business forward. You will have a passion for learning the business and using analytics to improve business outcomes, as well as a demonstrated ability at presentation and partnering with diverse stakeholders.
The business you support requires strategies that leverage best practices from both statistically-based and judgmental decisioning. Thus, your added value will come from not only being able to analyze data, but from thinking creatively on how to develop strategies in a business where data may be limited, and partnering successfully with other stakeholders to implement practical solutions.
Duties: You will be responsible for supporting Business Banking profit growth by conducting analytics to enhance asset and revenue growth, credit loss optimization, and operational efficiency. Duties include collaborating with other business partners to identify, structure and analyze business problems; performing complex analysis and/or modeling; providing analytical support on new credit origination and existing portfolio management; segmenting and monitoring various credit and deposit products; detecting trends based on vintages, risk score bands, commitment limits, etc. and making recommendations to management based on those trends; producing performance monitoring and benchmarks regarding growth, delinquency, losses, recovery and overall profitability; coordinating the production of monthly, quarterly, and annual performance reports for senior management; reviewing and analyzing current credit policies and recommending modifications for improvement.
Minimum Qualifications:
Graduate degree in Business, Economics, Math, Statistics, Operations Research, or related fields.
Hands on experience with SAS, SQL, and Excel.
Responsibilities:
Qualifications: Education/Experience MS or PhD degree in Statistics with at least 4 years industry experience.
** The Director at this pharmaceutical firm is interested in both very experienced statisticians, and also junior or even newly graduates with Ph.D. degree in Stats/Biostat, and excellent communication skills.
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Minimum requirements:
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Required qualifications: Ph.D. in Biostatistics or related discipline and 2 years of industry experience, or M.S. with a minimum of 4 years industry experience. Must also have: advanced computer skills with extensive experience in SAS; strong written and oral communication skills; leadership skills; good time management skills; ability to prioritize, meet deadlines and handle multiple projects; the ability to work independently and as a team member.
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