Genomic Epidemiologist Jobs in California

Strong problem-solving skills, good attention to detail, time management skills and personal initiative.

Critically review and develop educational materials for sales and customer service teams, and hold periodic trainings.

Clinical expertise or related experience in relevant specialties is highly desirable.

Minimum of 3-5 years of healthcare experience in the pharmaceutical or biotech industry.

Prior experience as an Genomics Specialist in the introduction of a novel new clinical product is highly desired.

Applies advanced knowledge of the biotechnology, diagnostics and pharmaceutical industry.

Demonstrated knowledge and experience in researching information and analyzing data to arrive at valid conclusions.

No professional experience required with relevant degree

0-2 years of experience as a lab technician or equivalent related experience.

Experience with robotic liquid handling like Biomek or Tecan

Theoretical and hands-on knowledge of molecular biology techniques.

Skill in the operation and maintenance of various lab equipment.

An annual Staff Development/Wellness Benefit allowance of up to $500/650 etc. and ongoing education/training opportunities

County contribution to a Health Reimbursement Arrangement to help fund post-retirement employee health insurance/benefits

Advanced knowledge of epidemiology (infectious disease background desirable)

Advanced statistical and coding skills, preferably with R

Training in and experience utilizing Tableau

Training in and experience utilizing ArcGIS

Strong interest and experience in machine learning and deep learning

Strong communication skills and ability to present the research findings to the team

Developing machine learning models to investigate functional implications of in-vitro and in-vivo perturbations

Data visualization and interpretation of biological findings

Presenting research findings to the team in weekly and monthly meetings

Currently pursuing B.S., M.S., or Ph.D. degree in computer science, computational biology, bioinformatics, biostatistics, statistics, or related quantitative fields.