Amstat Corporation
Heron Mathis
This website ( ) will be unavailable on Saturday, January 20th from 4:00 A.M. to 2:00 P.M. ET due to a scheduled power outage in the area. We apologize for any inconvenience and appreciate your patience during this timeframe.
If your organization would like to include an internship opportunity on our website, complete the form. Interested students will send a letter of inquiry and rsum directly to the contact and location you list.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
The project will be a hands-on learning experience involving both statistical and related data review and data analysis programming tasks. The programming tasks will involve use of SAS, R, and/or other statistical software on the UNIX platform.
To be considered, applicants must have completed at least two years of graduate-level course work and be working on their dissertation toward a PhD in statistics or biostatistics. The applicant must be legally authorized to work in the United States. In addition, applicants should have a good working knowledge of R, S-Plus, or SAS and good communication skills.
As an intern within the pharmaceuticals statistics US department, the incumbent will gain a direct view into research and development at Bayer and witness how clinical trials influence the decisions made during the drug development process.
The selected individual will have the opportunity to work on a research project with senior biostatisticians in a fast-paced environment. They may become involved in the analyses of clinical trial data, programming, and providing support to highly knowledgeable trial statisticians and project statisticians.
The biostatistics department at Biogen will have four internship positions available for approximately 12 weeks in the summer of 2019. The interns will work with one or multiple senior level statisticians on research projects closely related to clinical trials or nonclinical research. They will also be exposed to the drug development process. The research work will be presented at the departmental seminar and/or the company poster session and may lead to an internal study report or peer-reviewed publication.
Candidates must have completed two years of graduate work and passed a doctorate qualification exam prior to the start of the internship. They must return to school in fall 2019 and be legally eligible to be employed in the United States. In addition, candidates should have a solid understanding of statistical inference, a strong working knowledge of SAS and/or R, good interpersonal skills, and the ability to effectively summarize and communicate research results.
Supports health research projects in the design, execution, and interpretation of novel BCBSM fee-for-value and risk-based initiatives. Performs data extractions, validates case definitions, implements risk adjustment, codes models, and executes ad hoc analyses. Follows departmental processes and standards to ensure efficient generation of results.
Full-time summer biostatistics internships will last approximately 12 weeks. As a biostatistics intern, you will work with a senior-level statistician on a statistical research project related to the pharmaceutical industry and clinical trials. Potential topics may include survival analysis, Bayesian methods, dose-finding, etc., with applications to oncology, immunology, cardiology, respiratory, or central nervous system disorders. Interns are expected to present the results of their research at the end of the program and may have the opportunity to summarize their work in a peer-reviewed publication.
Boehringer Ingelheim will have multiple full-time summer statistical programming internship openings for approximately 12 weeks (May/June to August, dates flexible). As an intern, you will support the clinical research development process in the field of clinical trial programming using SAS or R. The intern will learn and apply CDISC standards for an ongoing trial within the standard BI setting as documented through BI SOPs, guidelines, and working instructions. You will support transforming specifications in the Trial Statistical Analyses Plan (TSAP) into fully documented, validated programs by producing summary tables, listings, and graphs (TLG) required for the Clinical Trial Report (CTR). Gains specific knowledge about the clinical data collected for the trial.
Boehringer Ingelheim will have multiple full-time summer biostatistics internship openings for approximately 12 weeks (May/June to August, dates flexible). As a biostatistics intern, you will work with a senior-level statistician on a statistical research project related to the pharmaceutical industry and clinical trials. Potential topics may include survival analysis, Bayesian methods, dose-finding, etc., with applications to oncology, immunology, cardiology, respiratory, or central nervous system disorders. Interns are expected to present the results of their research at the end of the program and may have the opportunity to summarize their work in a peer-reviewed publication.
Full-time internships are available in the summer, and will last from 10 to 12 weeks. Part-time internships are available during the school year and may continue for longer periods of time. Successful candidates will work closely with a senior-level statistician on topics related to the design and analysis of clinical trials and/or nonclinical research. To be considered, you must have completed at least two years of course work and be working on your dissertation toward a Ph.D. in statistics, or biostatistics. Successful candidates must have effective oral and written communication skills and good working knowledge of SAS and/or R.
The Global Statistical Sciences Division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2019. The internships start in either May or June and last 12 weeks. We will provide you with practical experience and give you the opportunity to build your understanding of the pharmaceutical industry and Eli Lilly and Company. Successful candidates will be assigned specific projects to work on under the guidance of a Lilly statistician or statistical analyst (mentor).
The Emmes Corporation, organized in 1977, is a privately owned contract research organization (CRO) in Rockville, Maryland. Emmes is dedicated to providing statistical and epidemiological expertise, computer systems development, data management, study monitoring, regulatory guidance, and overall operational support to clients engaged in clinical and biomedical research.
A biostatistics intern will work closely with biostatisticians on biomedical research projects across a variety of disease areas. Interns meet with epidemiologists, project coordinators, and biomedical investigators and contribute to the design and analysis of clinical research projects.
The Office of Biostatistics (OB) in the Center for Drug Evaluation and Research at the US Food and Drug Administration is recognized for excellence in the application and communication of statistical science in drug regulation and development. We play a central role in promoting innovative, science-based quantitative decision-making throughout the drug development life cycle. We provide statistical leadership, expertise, and advice to foster the expeditious development of safe and effective drugs and therapeutic biologics for the American people.
We anticipate having multiple internship positions available for advanced PhD graduate students in statistics or biostatistics from May 31 through August 30, 2019, to engage in research projects on topics relevant to OB scientific needs. Interns will gain hands-on experience with regulatory research projects under the guidance of an expert OB mentor, using actual data to address real problems in a stimulating, collaborative, and supportive environment. Past research project areas have included modeling and simulation, missing data, noninferiority trials, multiple endpoints, adaptive designs, Bayesian design and analysis methods, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, and data-mining. Interns have been involved in the development of statistical methods, software tools, and new drug application databases for the analysis of pre-clinical as well as pre- and post-market clinical data.
Interns are expected to participate in the internship 40 hours per week at our headquarters in Silver Spring, Maryland, with their mentor and cohort. As part of the internship program, interns will prepare a written report and a 30-minute presentation summarizing the work.
Contact: Send CV and cover letter to CDER-OTS-OB...@fda.hhs.gov with APPLICATION ORISE 2019 in the subject line. If you have a question, use QUESTION ORISE 2019 as the subject.
The SURP is an intensive, 9-week internship designed to provide research experience and mentorship for rising senior undergraduate students interested in biomedical research. Under the guidance of a faculty mentor, students will:
The Biostatistics summer interns will work for 10-12 weeks under the supervision of experienced Biostatisticians on theoretical or applied problems with direct relevance to on-going clinical or nonclinical drug development in diverse therapeutic areas such as oncology, immunology, infectious disease, ophthalmology, and neuroscience. The specific topics may cover research problems from translational research to late stage clinical trials and post-marketing evaluations. At the end of the internship, each student gives a department-wide presentation on his or her research topic. It is not uncommon for an intern to summarize their work in a peer-reviewed publication.
Applicants must be at least 18 years old and must be current graduate students pursuing a PhD in statistics, biostatistics or related field who have completed at least one year of graduate work by May 2019 and who will be returning to school in the fall of 2019. The applicant must be legally authorized to work in the U.S. In addition, applicants should have good working knowledge of R, S-Plus or SAS and have good communication skills.
c80f0f1006