Senior Bioinformatics Scientist, Proteomics Systems

The Opportunity

The Proteomic and Genomic Technologies (PGT) Department is seeking a Senior Scientist with a record of impactful research and/or scientific software releases associated with the development of large-scale data pipelines involving novel bioinformatic algorithms and their application to mass-spectrometry-based proteomic analysis. The new hire will have the opportunity to work collaboratively to develop groundbreaking algorithms and automated processing pipelines essential to the high-throughput analysis of cutting-edge proteomics techniques and apply them to biological questions essential to Genentech's drug discovery efforts.

Advances in mass spectrometry-based proteomics have revolutionized cellular protein studies, enabling detailed molecular characterization of human physiology and disease biology. Genentech's PGT group, a global leader in proteomic technology applications, strives to uncover new models of disease mechanisms and develop innovative therapeutics. The successful candidate will spearhead the development of systems for data ingestion, processing, and visualization, crucial for transforming proteomic data into actionable biological insights and advancing machine learning and modeling initiatives. As is true across Genentech, research in PGT is fast paced and highly collaborative, drawing on the expertise of some of the world's leading experts in biochemistry, technology, machine learning, computational biology, and disease.

Who You Are

* This position requires a PhD in the computer sciences, Bioinformatics, or a scientific field of study such as Biology, Chemistry, or Biochemistry.

* We are looking for a computational scientist with rich, demonstrated experience at the intersection of algorithm development, manipulation of high-dimensional data at scale, and complex biological problems, especially within the realm of proteomics.

* A high priority will be placed on demonstrated experience in the application of machine learning approaches, including deep learning, to biological data.

* A working knowledge of Python and R, with a mastery of either or both languages, is required.

* Familiarity with modern software engineering best practices is a must.

* Strong communication & interpersonal skills are essential for success in this collaborative role.

Preferred

* Knowledge of current cloud computing best practices and experience in the application of scientific data management and processing in solutions such as Amazon Web Services (AWS) is a plus.

* Experience with data generated from analytical instrumentation such as mass spectrometers and/or prior proteomics experience is highly desired.

Relocation benefits are available for this posting.

The expected salary range for this position based on the primary location of California is $128,200 to $238,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

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Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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