Employers:   Post Jobs   |   Search Resumes
jobs.net logo

Biostatistician / Bioinformatics / Biophysics, Biostatistician for Outcome Research

Company: N/A

Location: Nationwide, NJ, USA, NJ

Pay: N/A

Contact Information

Name: Ju Zhang
Phone: 877.267.1259
Fax: n/a
Apply Online

Job Description

SAS programmer/Statistician/bioinformatics (Telecommute), TechData is looking for Statistician for bioinformatics/biophysics, Biostatistician (remote) and SAS programmers (some positions can be telecommuting) for our pharmaceutical clients. Please see below requirements and send your resume to: [Click Here to Email Your Resumé]. TechData is a leading provider for temporary and permanent positions in the pharmaceutical industry. TechData offers the most competitive pay rates and benefits in clinical research consulting services.



  • Develop analysis and quality control pipelines for a variety of Next Generation Sequencing (NGS) applications such as DNA-seq, ChIP-seq, and RNA-seq

  • Develop novel statistical methods for indel, SNP, genotype, fusion and complex variant calling on a variety of internal and external sequencing platforms (454, SOLID, Illumina, PacBIO, etc.)

  • Design the computing strategy sequencing workflow data management and the computing infrastructure for processing NGS data (local vs. Amazon cloud, etc.)


  • First-hand experience in NGS analysis and methods as well as the computing infrastructure and data management methods to support NGS

  • First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery.

    • For example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods.

  • First-hand experience at integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data to identify testable hypotheses

  • Statistical programming skills like SAS/S-plus, R/bio conductor and pipeline pilot or equivalents

  • A background in Oncology, Translational Research, Pathway Analysis, and Quantitative Methods for Systems Biology, Network Analysis, or Simulation are a plus.


Ph.D. in a computational, statistical, biophysics, or bioinformatics related fields and a minimum of 5-years research (academia or industry) experience.

Biostatistician (some can be telecommuting)

  • Support clinical trial design and protocol concept sheet development

  • Develop protocols especially for statistical section

  • Participate study related activities and provide statistical support such as safety review, interim analyses for Phase II and III clinical studies, etc. Develop statistical analysis plan (SAP), create TLG template and derived analysis datasets specification, and perform QC of TLG.

  • Contribute to CRF development and review edit check specification

  • Develop Data Monitoring Committee Charter and create mocked TLG for interim review

  • Review Independent Radiology Review Committee Charter and data transfer plan 

  • Review CSR


  • At least 4 years clinical trial experience with Ph.D. or MS in statistics

  • Familiar with oncology trial design and survival analysis

  • Good communication skill

  • Excellent programming skill in SAS

  • Familiar with statistical software such as East, nQuery, Splus and others

  • Team work attitude

  • Able to handle multiple projects concurrently

Biostatistician (telecommute)


A statistician with strong programming skills being sought for the following:

  • Writing statistical analysis plans, summarizing clinical study data, contributing statistical sections to a final study report (including table and listing appendices, report results sections, graphs, etc.) and IND Annual Safety Reporting.

  • Creating, managing and maintaining the programming specifications for the analysis datasets utilizing is tools and methodologies.

  • Analyzing clinical study data, ensuring programming code meets regulatory and company standards and are consistently structured to permit efficient programming and reporting.

  • Performing quality assurance procedures on work performed by others.

  • Candidate will also work with the team to resolve reporting issues, trouble-shooting of complicated analysis rules, proactive identification of problems, and attend study meetings as needed.


Must have excellent communication skills and work well in a study team environment that includes other SAS programmers, data managers, clinical, and regulatory colleagues.

  • Experience coordinating work assignments with a CRO is a plus, but not necessary.

  • Pharmaceutical research oncology experience in the US is a plus, but not necessary.


A PhD or MS in Statistics with at least 3 years pharmaceutical experience in an FDA regulated environment covering Phases II-IV. 


  1. PhD in statistics with 0-2 yrs. experiences (i.e. fresh PhD is acceptable; it doesn’t have to be in pharmaceutical area)

  2. Prefer Bayesian modeling stats courses and understand Bayesian approach in the real data analysis

  3. Has Bayesian analysis software skills such as R, WINBURGS, and/or SAS MCMC


Job Requirements


Qualifications Needed:

We need an experienced statistician who can do SAS programming and at the same time can clearly interpret statistical concept and results to non-statisticians and key medical opinion leaders

Biostatistician for Outcome Research

Position Summary

The EBM biostatistician provides statistical expertise for all observational research project sponsored by the US Evidence Based Medicine (EBM) in protocol development, Statistical Analysis Plan (SAP) preparation and study report. The role needs to ensure that appropriateness of study design, sample size and statistical methodologies are used and adherence to the established standards and SOPs. This role manages the timely execution of statistical and research and methodological components of EBM study protocols in order to meet project objectives and has a thorough understanding of current requirements for statistical standards.



Education and Experience