Position Summary:

IQVIA has built a sponsor-dedicated, statistical programming team for a Biopharma client. We are expanding this team by hiring a Lead for R Programming efforts. Help with the long-term initiative of growing the R ecosystem for our client. R package development is an important skill for this role. Assist our client to be less reliant on SAS, and adopt the use of R for production and validation efforts of clinical datasets.

• Conduct analysis of clinical trial data using R – combine, manipulate, transform and summarize data.
• Create and validate R packages.
• Create process around package development and validation.
• Create and/or validate clinical study outputs and requirements consistent with data definitions, specifications and relevant study documentation (e.g. protocol, SAP, aCRF).
• Identifies problems and develops tools that increase the efficiency and capacity of the Statistical Programming group.
• Help establish the standards to generate clinical deliverable using R and train team members in R functions.

Qualifications:

• Bachelor’s degree in Math, Stats, Computer Science, or Health Sciences is preferred.
• Experience with creation of clinical trial analysis (ADaM, TFLs) using R.
• Experience with various R packages/tools such as tidyverse (dplyr,ggplot2, haven, lubridate, etc.), tplyr, Shiny, Pharmaverse Admiral, metacore, metatools, rmarkdown, flextable.
• R package development experience is required.
• Knowledge of CDISC standards (SDTM, and ADaM) is preferred.
• Good knowledge of the tidyverse style guide.
• SAS programming and R Shiny experience is preferred.
• Experience visualizing/presenting data for internal stakeholders or clients.
• Capable of implementing more advanced modeling and statistical procedures as requested by study team.
• Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis, and reporting/modeling of analysis results. Including handling of data issues and uncleaned data.
• Familiar with git and GitHub basic workflow.
• Professional attitude, self-motivated, logical thinking
• Ability to problem solve and develop innovative approaches along with a drive to learn and master new techniques and technologies.

The Institute of Marine Research (IMR) is Norway’s leading research institute for marine and marine research, with a strong commitment to preserving and protecting our oceans, coastal areas and marine ecosystems. Our vision is knowledge for the oceans of the future, and data is the lifeblood of our research, monitoring and consulting.

We are at the beginning of a digital transformation, where we will on a large scale use new technologies such as autonomous underwater drones, gliders, underwater robots, satellites and other sensors in the ocean that will communicate over acoustic modems underwater to collect and analyze data in new ways to enable HI to deliver on our social mission also in the future.

We are looking for two developers for further strengthening of our product team. We work according to the Scrum model, and you as an employee with us will be part of one of our interdisciplinary product teams. We are looking for developers with good experience in R.

Tasks will be system development tasks aimed at new and further development of the Institute of Marine Research’s data infrastructure. Close cooperation with research communities and other development teams at the Institute of Marine Research will be an important part of everyday work.

The positions report to the Head of Section Digital Development.

Qualifications

We are looking for you who have expertise in software development and relevant experience in creating good digital solutions.

Preferably higher academic education from university or college in natural sciences. Longer work experience in the relevant subject area may compensate for parts of the educational requirement

Experience from fisheries/ecological modelling, statistics or biology is an advantage.

Competence within these systems and platforms will be most strongly emphasized:

• Programming in R
• Experience with development of R packages

Expertise within these systems and platforms is desirable:

• Reactive frameworks such as Angular/React
• REST/XML/JSON
• CI/CD pipelines
• Docker
• Work organized according to the SCRUM model

The working language at the Institute of Marine Research is Norwegian. Being able to communicate well in Norwegian is an important prerequisite both for the employee and for the department. Non-Norwegian-speaking employees are expected to complete Norwegian language courses during the first two years of employment. Norwegian language tuition will be covered by the department after completed and passed courses.

Personal qualities

i360 is seeking a Statistical Programmer to join our political analytics team, which is driven by data and measurement. The ideal candidate is someone who has experience creating applications, data visualizations, and conducting quantitative analyses. This person would be looking to leverage that experience to make a difference in economic freedom.

To be considered, candidates must be creative, passionate about process improvement, and strong technical ability in the following areas:

• An independent drive to continually grow a skillset in application programming
• Comfortable working closely with Project Managers on long term projects
• Demonstrated interest in the political landscape
• Demonstrated data analysis and regression techniques
• Ability to work independently and adapt quickly in a fast-paced environment
• Ability to integrate with large and small cross-specialty teams with individuals of varying levels of expertise
• Ability to plan and manage time sensitive projects with competing needs
• Strong attention to detail, including accuracy of data entry

What You Will Do In Your Role

• Creating applications and data visualizations that convey relevant and accurate insights to both technical and non-technical audiences
• Working with internal and external customers to incorporate feature requests, functionality, and aspects of the overall vision into ongoing projects.
• Providing timely and informative political data analysis to guide strategic decisions
• Creating relevant productivity benchmarks
• Working on specialized research projects as requested

The Experience You Will Bring

Requirements:

• Experience with R, Python, or Stata
• Experience with applications in R Shiny or equivalent programs
• Position is not eligible for VISA Sponsorship

What Will Put You Ahead

• 1+ years of either working on a campaign or analyzing political data
• 1+ year of experience with SQL, Redshift, or Postgres
• Familiarity with spatial analysis

Essential Responsibilities:

• Development of novel statistical methodology for the analysis of gene expression, proteomics, and sequence data
  • Focus on single cell gene and protein expression data
• High-level applied analyses of gene expression and multi-omics data
• Statistical consultations with scientists throughout the company
• Development of software to help biologists analyze omics data
• Development of gene-expression based diagnostic predictors
• Work in collaboration with statisticians and biologists
• R&D efforts of your own devising

Requirements:

• Ph.D. with 0-4 years of relevant work experience in statistics or biostatistics. Master’s and Bachelor’s level considered with relevant experience in lieu of degree.
• Advanced R programming skills
• Graduate-level coursework in applied statistics
• Graduate level coursework in statistical theory

Preferred Qualifications:

• Knowledge of molecular/systems biology desirable
• Knowledge of cancer biology desirable
• Experience in genomics and machine learning desirable

Successful applicants will have knowledge on existing software tools to plan and execute a statistical analysis. The ideal candidate will be able to effectively communicate results through various combinations of data summary statistics and visualizations. In addition, excellent written and verbal communication; effective judgment and problem solving, ability to work independently and collaboratively is required., A strong research background in microbiome with interest in translational research is preferred. Strong attention to detail, multi- tasking; and a willingness to learn new technologies is encouraged.

The Office of Institutional Research supports data-informed decision making to help Maria College fulfill its mission and is a source of reliable accurate data for external reporting.  The Research Analyst will report to the Associate Vice President for Institutional Research. This position is full time. Compensation is commensurate with experience.

About Maria College

Founded in 1958 by the Religious Sisters of Mercy, Maria College of Albany is a private, co-educational, Catholic college that serves approximately 800 students in a variety of degree and certificate programs. Known for its warm, caring culture, its personalized attention to students, flexible scheduling and highly affordable tuition, the College has built a regional reputation for excellence in the health professions, including nursing and occupational therapy.

Responsibilities

• Extract, clean, transform, and manage data.
• Prepare, analyze, interpret, and present data to various audiences using tables, charts, and narrative reports.
• External reporting (e.g., IPEDS, NYSED, CICU, Common Data Set)
• Internal reporting including recurring reports and responding to data requests to support decision making.
• Provide data as needed to support accreditation (e.g., ACEN, ACOTE)
• Assist with survey development, deployment, and dissemination of results to stakeholders.
• Work collaboratively with individuals from across the College.
• Involvement on committees as needed.
• Other duties as assigned.

Qualifications

• Bachelor’s degree in quantitative social science or related discipline, Master’s preferred.
• One to three years of experience working in a research or analytical environment, preferably in Higher Education.
• Attention to detail.
• Strong communication and interpersonal skills.
• Ability to multitask, manage deadlines, and problem solve.
• Ability to contextualize data requests and communicate findings in a meaningful way.
• Experience with data manipulation and analysis.
• Experience with statistical analysis software (R strongly preferred).
• Ability to contextualize data requests and communicate findings in a meaningful way.
• Ability to communicate technical information to a non-technical audience.
• Experience with SQL and relational databases is a plus.

Maria College is a nonprofit, independent, coeducational institution which does not discriminate in its enrollment or employment practices for any reason including race, sex, color, national origin, creed, sexual orientation, mental or physical disability, or any other characteristic protected by state, federal or local laws and ordinances.

The Geospatial Centroid at the Colorado State University Libraries seeks an energetic and technically skilled research associate (RA) to further develop the education, outreach, and research support of the Centroid. The RA will work with Centroid staff to create training materials, videos, and workshops for geospatial analysis suites including open-source software like R and Python and using Git, GitHub and RMarkdown workflows. The RA will also engage with researchers to encourage the use of spatial analysis and participate as an active member of research teams across campus. Programming and data visualization are required.

A full job announcement may be found at https://jobs.colostate.edu/postings/84151.  For full consideration, all application materials must be received by March 15, 2021 at 11:59pm.

About the Libraries

The Colorado State University Libraries is the heart of learning and research on campus, connecting curious minds to vital information and knowledge. The library system includes a primary library, Morgan Library, and a branch library in CSU’s Veterinary Teaching Hospital. The Libraries’ mission is to curate inclusive collections and provide equitable access to materials and services critical to student success, research brilliance and community engagement. The Libraries employs approximately 80 faculty and staff and 100 student employees who collaborate to meet the informational needs of users in the Libraries’ physical and digital spaces.

The CSU Libraries is committed to diversity, equity, inclusion and social justice. As part of a land grant university built on indigenous lands, we are mindful of our history and recognize that equity and social justice work requires intention, persistence and humility. We believe that improving equity and enacting social justice—among our staff, in our services, in our spaces, and in our communities—is a guiding star toward a better future.

About Colorado State University

Colorado State University is a land-grant institution with an enrollment of over 28,000 undergraduate and graduate students and is located in Fort Collins, Colorado.

About Fort Collins

Located just 57 miles north of Denver, Fort Collins is known for its livability, eco-consciousness, and a vibrant downtown culture. The city has over 4,300 acres of green space, 29 miles of in-town trails, and 143 miles of bike lanes. Fort Collins is known for its commitment to business while engaging in planning that focuses on community spirit, solutions to sprawl, and appreciation for outdoor living.

CSU is an EO/EA/AA employer and conducts background checks on all final candidates.

Specific roles and responsibilities:
· Develop domain expertise over current Master Data Management (MDM), data quality operations, data integration, and maintain or upgrade existing processes
· Technical integration partner for multiple internal and external systems comprising the enterprise Commercial architecture including systems for Commercial, Medical and Patient Services
· Develop insights/reporting dashboards to serve different stakeholders within commercial organization, including reporting on performance of commercial systems
· Perform troubleshooting and resolution of system support requests, working with end-users in commercial leadership, IT partners, and our Managed Services Partners
· Proactively identify production risks and create actionable mitigation plans
· Perform administrative and management tasks required to establish and maintain compliance with various regulatory standards

Role Qualifications:
· 3-5+ years of experience working in management consulting, commercial analytics or IT in the Life Sciences or Pharmaceutical industries
· Experience working in a small start-up or recently commercialized biopharmaceutical organization, preferably in oral oncology and where systems are still evolving; maintains a ‘no job is too big or too small’ attitude
· Experience working with a variety of Facility, Physician, and patient claims level data set (e.g. SHS, IQVIA, Specialty Pharmacy data, Specialty Distributor/3PL data, etc.)
· Experience maintaining or improving MDM solutions
· Good SQL working knowledge
· Experience in R strongly preferred
· Experience in collection and cleaning of data
· Knowledge of developing reports and dashboards using various visualization tools (e.g. Shiny, QlikSense, Power BI)
· Strong communications skills, and the ability to assimilate and impart information efficiently and accurately
· Able to work collaboratively and build relationships
· Evidence of being able to prioritize and manage multiple tasks simultaneously
· Understanding of application sources and data models for biopharma enterprise solutions, as well as data integration and data quality standardization best practices and processes
· Understanding of regulatory policies and their impact on key business processes and system designs

Commercial teaching website requires R library to be published on CRAN.

Your experience in publishing R libraries, debugging version errors, and meeting all of the build checks are needed.

THIS LIBRARY CONTAINS ONLY DATA.

That’s it.

There are no functions.  Only minimal documentation is needed to describe each data set.

https://github.com/sdcastillo/ExamPAData

For a description of the data sets, see chapter 5.1 of this book: https://github.com/sdcastillo/ExamPAData

Here’s a step-by-step guide.  You can begin at Step 6 “Submit to Cran”

https://www.mzes.uni-mannheim.de/socialsciencedatalab/article/r-package/