Scientist - Computational Biology & Statistical Genetics

The Department of Genome Analysis Unit at Amgen South San Francisco (ASF) is looking for a Scientist with expertise in handling high-content NGS whole genome sequencing data and a background in human genetics and statistical genetics. The primary responsibilities would be to conduct whole genome association analyses with multiple phenotypes in Biobank samples, functional annotation, systems genomics analyses, functional genome data analyses with sophisticated statistical methods and deep-learning machine learning models to identify potential novel therapeutic targets as well as using genetic information for patient stratification.

The Scientist will work with biologists especially in immuno-oncology fields and/or cardiovascular relevant diseases to leverage information on our targeted biological pathways along with computational algorithms to manage and mine internal and external genomics, GWAS, next-generation sequencing and other high-content databases. The Scientist is expected to interface with the local statistical genetics/computational biology/bioinformatics community, particularly in evaluating new opportunities that advance the discovery and application of genetic biomarkers. By networking with experts and working collaboratively with Amgen scientists, the successful candidate will integrate acquired knowledge into our efforts in target identification and drug development. Data integration, management, visualization, analysis and presentation are anticipated to be a substantial component of this job, providing leadership and expertise in those domains.

Basic Qualifications
Doctorate Degree
OR
Master's and 4 years statistical genetics experience
OR
Bachelor's and 6 years statistical genetics experience

Preferred Qualifications

• PhD in Statistical Genetics, Genetic Epidemiology, Computational Biology, Bioinformatics, Mathematics, Statistics or related fields
• Five or more years of experience in statistical genetics or relevant fields
• A working knowledge of applied mathematics or statistics to analyze large-scale human genetics data sets/biobanks
• Ability to translate biological and medical questions into analytical models providing actionable results
• Programming experience in languages such as R, Python or Matlab
• Enjoys working in collaborative team environment
• Record of establishing and leading lead cross-functional teams
• A strong scientific background with training in genetics and a proven track record of productivity
• Strong written and oral communication skills, self-motivation, independence and leadership
• Experience understanding the sources of bias arising from DNA high-content platforms

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology and is matched by an unparalleled toolbox of therapeutic modalities ranging from small molecules to peptides to proteins to antibodies to live cell-therapies.

Join Us

If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.