Offers “Roche”

Expires soon Roche

Research Statistician

  • South San Francisco (San Mateo County)
  • IT development

Job description

  Job facts
Genentech's Department of Bioinformatics and Computational Biology seeks a statistician with training and interest in statistical genetics or genomics for a position collaborating with Genentech Research scientists. Candidates should be experienced in data analysis, with strong computational skills, and expect to pursue research programs involving statistical applications to genome-scale data, statistical genetics, or comparable areas of molecular biology.

Responsibilities:

·  Consult with scientists to design experiments, carry out statistical analyses, and explain scientific conclusions.
·  Collaborate on long-term scientific projects (e.g., GWAS, gene expression, proteomics).
·  Develop new methodologies and software implementations as needed.
·  Serve as a statistical advisor and point of contact to designated functions within Genentech Research.

·  Who we are

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

Desired profile

Who you are

You're someone who wants to influence your own development. You're looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.

The successful candidate will possess the following qualifications:

·  PhD in statistics or biostatistics with a solid theoretical background, coupled with a background in the Biological Sciences.
·  A record of publication in peer reviewed scientific journals, including at least one first-author publication.
·  Experience with generalized and/or linear mixed models, experimental design, statistical graphics and programming, multivariate analysis, and commonly applied techniques in statistical genetics and genomics.
·  Demonstrated ability to enthusiastically convey statistical ideas to non-statisticians.
·  Ability to act as a collaborative researcher, making co-author level contributions to scientific publications.
·  A strong plus will be an understanding of molecular cell biology and/or immunology, in addition to standard research assays and technologies (e.g., qRT-PCR, immunohistochemistry, ELISA, bioassays, flow cytometry, sequencing approaches, etc.).
·  Ability to create applications and packages in R and to work in a UNIX environment. Additional experience (e.g., python, C, experience in a cluster computing setting, common bioinformatics tools, etc.) a plus.
·  Teamwork and the ability to communicate effectively are essential.

*LI-gRED-HB

· 

Make every future a success.
  • Job directory
  • Business directory