Which cities near San Francisco, CA have the most job openings?

The 10 cities near San Francisco, CA that have the most job openings are: Concord Vallejo Sunnyvale Hayward Fremont Oakland Berkeley Richmond Antioch San Mateo

What are the most popular job searches in San Francisco, CA?

The 10 most popular job searches in San Francisco, CA are: city amazon government work from home construction security nurse rn registered nurse transportation

What are the highest-paying jobs in San Francisco, CA?

The highest-paying jobs are: american sign language interpreter ( from $ 64,535 to $ 410,475 year ) anesthesiologist ( from $ 50,000 to $ 400,000 year ) forensic pathologist ( from $ 244,941 to $ 338,822 year ) team owner operator ( from $ 143,000 to $ 314,000 year ) hospitalist ( from $ 50,000 to $ 250,000 year ) investment banker ( from $ 175,000 to $ 249,000 year ) cardiothoracic surgeon ( from $ 118,986 to $ 248,150 year ) director of security ( from $ 119,505 to $ 244,650 year ) chief medical officer ( from $ 170,000 to $ 242,619 year ) primary care physician ( from $ 112,383 to $ 240,000 year )

Which cities in the United States of America offer the highest salaries for bioinformatics jobs?

The top 10 cities are: San Jose, CA ( from $ 107,082 to $ 186,190 year ) San Mateo, CA ( from $ 107,126 to $ 186,190 year ) San Diego, CA ( from $ 107,323 to $ 186,034 year ) San Francisco, CA ( from $ 108,510 to $ 185,500 year ) Dallas, TX ( from $ 61,327 to $ 165,000 year ) Atlanta, GA ( from $ 127,638 to $ 165,000 year ) Boston, MA ( from $ 106,250 to $ 165,000 year ) New York, NY ( from $ 73,430 to $ 154,800 year ) Los Angeles, CA ( from $ 78,924 to $ 152,880 year ) Philadelphia, PA ( from $ 64,960 to $ 150,440 year )

Bioinformatics Jobs in San Francisco, CA

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Bioinformatics • san francisco ca

Last updated: 4 days ago

Computational Scientist: Human Genetics

Compass ConsultingSouth San Francisco, CA, US

$27.00–$52.00 hourly

Full-time

Quick Apply

Bioinformatics/AI Scientist

MedasourceSouth San Francisco, CA

Permanent

Work under the supervision of group leaders in Computational Biology and Translation to benchmark.ML/AI models integrating large-scale multiomics preclinical and clinical datasets.Write scalable Py... Show more

Patent Prosecution Attorney or Patent Agent – Software Technologies #21489 San Francisco

Vanguard-IPSan Francisco, California, United States

Full-time

Mid-Sized GP Firm ranked National "Tier 1" in Patent Law.Very active with representing both patent owners and petitioners at the PTAB, and complainants at the ITC.A busy Patent Prosecution practice... Show more

Director, Clinical Genomics Operations & Variant Science – Invitae – Remote

LCA Lab. Corp. of AmericaSan Francisco CA

Remote

Full-time

Labcorp is seeking a US remote-based Director of Clinical Genomics Operations & Variant Science to join its Invitae Genetics division!.Provide strategic, technical, and operational leadership for c... Show more

Sr. Clinical Data Coordinator

TradeJobsWorkForce94112 San Francisco, CA, US

Full-time

Clinical Data Coordinator Job Duties: Support laboratory data management procedures including authoring and reviewi... Show more

Principal Scientist, Computational Chemistry

Deep Apple TherapeuticsSouth San Francisco, California, United States

Full-time

Deep Apple Therapeutics, part of the Apple Tree Partners (ATP) portfolio, is a Bay Area biotechnology company focused on accelerating drug discovery by integrating molecular docking and structural ... Show more

Life Sciences Business Analyst (contract)

Rancho BioSciences, LLCSan Francisco, California, United States, 94102

Full-time

Quick Apply

Rancho BioSciences is a San Diego–based provider of biomedical data curation and data science services for pharma and biotech, spanning drug discovery through translational research.Our teams of sc... Show more

Data Science Engineer

Berkeley LabBay Area, California, US

$131,760.00 yearly

Full-time

Lawrence Berkeley National Laboratory is hiring a Data Science Engineer within the Scientific Data division.The has an immediate opening for a software and data engineer (CSE2) in the area of multi... Show more

Associate Director - R&D Information Research IT (Hybrid)

AbbVieSouth San Francisco, California, United States

Full-time

Associate Director, IT – Business Relationship Manager.R&D IT and multiple areas within the global Discovery R&D organization, with a primary emphasis on ... Show more

Computational Scientist: Human Genetics

Compass ConsultingSouth San Francisco, CA, US

30+ days ago

Salary

$27.00–$52.00 hourly

Job type

Full-time

Quick Apply

Job description

Our client is a leading biotechnology company that discovers, develops, manufactures and commercializes medicines to treat patients with serious or life-threatening medical conditions. They are among the world's leading biotech companies, with multiple products on the market and a promising development pipeline.

Role Overview:

The Human Genetics department at the client site is seeking a highly independent computational scientist with a strong hands-on analytical background in genetic epidemiology, statistical genetics, or computational biology, to develop and apply analytical approaches to integrate and interpret genetic, genomic, and clinical data. We are particularly interested in candidates with skill sets that position them to tackle the integration of multiple sources of human biological data, such as whole genome sequencing and single cell RNA-Seq/ATAC-Seq data, including knowledge of emerging multimodal data integration methods.

Responsibilities:

Collaborate with scientists in Human Genetics department to analyze large datasets of genetic, genomic, and clinical data from internal studies (including our clinical trials and high throughput screens), collaborations with academic and industry partners, and public external data sets
Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology to propel our translational goals
Coordinate the intake and preparation of new datasets as they become available for analysis
Document process, findings, and code
Present findings to the department and cross-functional collaborators and contribute to publications

Requirements:

Extensive experience in large-scale genetic/genomic data analysis including one or more of the following areas of expertise:
- Understanding of principles of genetic epidemiology
- Association analysis with array- and sequence-based genetic data
- Analysis of sequence-based molecular assay data (eg RNA-Seq) including differential expression methods, single-cell sequencing data (eg scRNA-Seq, scATAC-Seq) and/or proteomic data
- Integration of genetic and molecular data for multimodal analyses
PhD (or Masters with significant experience) in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field
Fluent in R, python, and shell scripting. Some familiarity with C++ will be a plus
Experience working with git and high performance computing (e.g. the slurm scheduling manager)
Curiosity and desire to learn more about human genetics, bioinformatics, and biology
Ability to produce high-quality analysis results with minimal supervision. This includes meeting key deadlines and making sensible independent decisions
Good communication skills and experience working as part of a team