Precision Medicine Data Analyst Jobs

Strong organizational and time management skills

Good typing and data entry skills

Performing data entry and maintaining databases

No experience as a Virtual Assistant is needed.

Strong communication and organisational skills.

At least 1 month of experience in online market research

Applies analytic knowledge, skills and experience to perform project-related work, complete specific project tasks, and create project deliverables.

Minimum five (5) related years of work experience (i.e. in an analytical environment, preferably in healthcare, education or research).

Minimum five (5) related years of work experience.

Experience with analysis of large administrative databases and computer-intensive statistical analysis (preferably using SAS), multivariate statistical methods, general research methodology.

Skills in analytical methods including problem and model formulation, algorithm selection, and development of overall solution strategy.

Creativity, critical thinking, and excellent problem-solving skills.

Working knowledge of research data management with effective organizational skills.

Maintains a system for data set management of data collected from studies.

Assists the investigator identifying trends and educational needs.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

Collects data that will be used for case-control studies.

Performs analyses from secondary data sources; analyses include statistics and regression models.

Background bioinformatics / computational biology, and excellent programming skills

> 2 years of industrial or academic experience working with raw metabolomics data

> 2 years industrial experience in omics data analysis with patient data

Hiring Manager Interview (45 minutes)

Analyzing multi-omics data to inform Enveda’s clinical development plan

Processing raw metabolomics data using both commercial and proprietary software

• Strong working knowledge of health care delivery especially in evolving Oncology market landscapes

Experience with statistical analysis (e.g. R, Python) and data visualization (e.g. Qlik, Tableau)

If this excites you, then apply below.

Data analytics and visualization including machine learning concepts and statistical analysis techniques,

• Deep understanding ofreal-worldd datasets in healthcare such as patient-level claims and electronic health records (EHR) data