Statistician

Organization
Precision for Medicine
Job Location
8425 Progress Drive
Frederick, MD 21701
Job Description

Job Description:

Precision for Medicine is searching for a highly motivated Statistician to join their advanced analytics group. The Statistician primarily provides analytical design and statistical programming support on client engagements in the areas of translational research in drug development and diagnostics. The Statistician will implement Precision’s PATH Analytics Platform, which is a proprietary machine learning and knowledge generation platform engineered for use on ‘omics data in translational research and drug development, and may participate on Precision Medicine research initiatives and the PATH Development Team as needed.

ESSENTIAL DUTIES

  • Authors or contributes to technical documents such as Statistical Analysis Plans (SAPs), Statistical Analysis Reports (SARs), Clinical Study Reports (CSRs) or other regulatory documents
  • Leads project development for statistical analysis of clinical and non-clinical data across therapeutics areas, such as oncology, neuroscience, and autoimmune
  • Creates statistical programs according to project specifications and applicable industry standards
  • Validates statistical programs in the form of peer review or independent programming
  • Implements advanced statistical techniques using Precision’s proprietary PATH Select (ensemble-based machine learning) and PATH Stratify (Bayesian framework)
  • Provide support on results roll-out and project delivery via PATH Explore, which is an interactive data visualization and knowledge generation web-based application
  • Creates Analysis Data Sets (ADS) according to project specifications and applicable industry standards
  • Facilitates client communication as appropriate
  • Collaborates with a group of Statisticians and Statistical Analysts in a highly interactive and positive team environment
  • Participates in analytical research and development efforts of Precision for Medicine’s cross-functional research initiative as needed
Requirements
  • PhD in Statistics, Biostatistics, or related field
  • Proficiency in R programming is required. Proficiency in both R and SAS programming is preferred
  • Experience with the analysis of data generated by biomarker assays is preferred (next generation sequencing (NGS), SNP genotyping, gene expression, proteomics, immunoassays, etc.)
  • Excellent communication skills
  • Fluent verbal and written English skills
  • Ability to build and foster multidisciplinary global relationships
  • Team player contributing to a positive, collaborative working environment
  • Ability to travel up to 5% of the time
How to Apply

: Please email resume and cover letter to the attention of Susan Pacific at [email protected]

About Our Organization

Precision for Medicine (“Precision”) is a specialized service provider engineered specifically to address the emerging needs of next generation life science companies. We understand the new challenges and opportunities posed by the modern health care market and offer a combination of expertise, scientific infrastructure, and organizational scale to help guide products from development, through regulatory review, to market introduction and commercial success.

The Analytics team at Precision has a breadth and depth of experience in translational research and biomarker studies across therapeutic areas and types of biological assays. Our team has first-hand experience with processing, quality control, and analysis of data generated from a variety of technology platforms such as next generation sequencing (NGS), microarrays, multiplex immunoassays, flow cytometry, immunohistochemistry, ELISA, real-time PCR, FISH, etc. Additionally, our experience extends to include studies of novel / proprietary technologies.

New study finds bias against female lecturers among student course evaluations, the Economist reports.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.