Top 8 Bioinformatics entry Jobs in San Francisco Bay Area Ca

Data Scientist
University of California San Francisco —San Francisco, CA
- Full-time
- Azure
- Computer Science
- Mid-level
Bioinformatics Scientist
Plasmidsaurus —San Francisco, CA
- $170,000 - $190,000 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Analysis skills
Principal Scientist, Bioinformatics Human Genetics
Genentech —San Francisco, CA
- $150,700 - $279,900 a year
- Online Application
- Computer Science
- Doctor of Philosophy
- Quality control
Principal Computational Scientist, Discovery Chemistry
Genentech —San Francisco, CA
- $144,900 - $269,100 a year
- Online Application
- Computer Science
- Doctor of Philosophy
- Organizational skills
Principal Scientist – Translational Medicine (Tumor Microenvironment)
Genentech —San Francisco, CA
- $141,500 - $262,900 a year
- Online Application
- Medicine
- No experience needed
- 3 years
Computational Biology Expert - AI trainer
micro1 —United States
- $20 - $60 an hour
- Contract
- Remote
- No experience needed
- Analysis skills
- Doctor of Philosophy
- Flexible schedule

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Computational Scientist II
Tailored Management —South San Francisco, CA
Develop and implement data analysis pipelines using Python and statistical modeling techniques. Familiarity with workflow management tools such as Nextflow or…
$47.23 - $62.94 an hour
Quick Apply
1d
Computational Scientist II - 30169_AV
BEPC Inc —South San Francisco, CA
PhD in a quantitative field such as Computational Biology, Bioinformatics, Computer Science, Statistics, or Mathematics, or a PhD in the physical or life…
$60.00 - $62.94 an hour
Quick Apply
23h

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Computational Biology Expert - AI trainer
micro1 —United States
Experience reviewing scientific content, developing technical assessments, or contributing to AI model evaluation projects. Pay: $20.00 - $60.00 per hour.
$20 - $60 an hour

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bioinformatics entry jobs near san francisco bay area ca

Data Scientist

University of California San Francisco -
San Francisco, CA

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Job Details

Full-time

Qualifications

Data Integration (Data management)
Hypothesis testing
Biostatistics-based research
Tooling
Data structures
Data Security (Data management)
Managing projects
Clinical data analysis
Bioinformatics data analysis
Statistical significance testing
Database software proficiency

Full Job Description

Job Function Summary:

Involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms, computational techniques, and standard statistical methodologies. Helps in the design of new experiments and leads the execution of building machine learning and statistical models. Implements end-user needs in database development, maintenance, searching, and integration. Maintains computational infrastructure and manages and tracks the flow of samples and information for large-scale studies. Provides bioinformatics and access to public and proprietary databases. Manages cloud and on-premises computational infrastructure and data.

Generic Scope

Professional who applies acquired job skills, policies, and procedures to complete substantive assignments / projects / tasks of moderate scope and complexity; exercises judgment within defined guidelines and practices to determine appropriate action.

Custom Scope

Our research efforts are at the intersection of cardiovascular disease and human genetics. Our clinical research efforts employ new techniques for deep phenotyping, such as deep learning. But these techniques rely on a solid foundation of classical bioinformatics. The Bioinformatics Programmer/Data Scientist will assist in managing, cleaning, and analyzing large scale medical data using a wide variety of analytic techniques, both in the cloud and with on-premises compute depending on data permissions. Experience with a cloud provider such as AWS, Microsoft Azure, or Google Cloud is a plus, and ability to learn how to manage cloud-based pipelines, and to perform cloud data management will be essential skills to develop and maintain. Maintaining bioinformatic databases by obtaining and restructuring data, including both UCSF proprietary data and public data, and writing tools to streamline discovery and replication analyses using these databases will be core responsibilities. An important task will be writing and maintaining analytic pipelines in languages such as R, python, Go, Rust, shell, SQL, WDL, and/or other appropriate languages, and using tools such as Docker. Experience with databases or the ability to learn will be requisite. Under the supervision of the PI, the Data Scientist will also be involved in data analysis, and will be comfortable with bioinformatic analyses including variant calling and annotation. There will be opportunities to employ cutting-edge methods and to develop new methods. The ability to learn and implement new techniques depending on the problem at hand will be an essential skill, thus requiring a strong foundation in computer programming. This position will also include administrative duties and will have the opportunity to participate in—and to lead—authorship teams.

Required Qualifications

Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training.
12 months or more of demonstrated work experience using medical and/or health-related data, or similar, including developing pipelines for extracting, transforming, and loading data, and data analysis.
Working knowledge of bioinformatics methods and data structures.
Working knowledge of biostatistics and basic statistical testing.
Working knowledge of systems programming and databases.
Working knowledge of application and data security concepts.
Ability to effectively manage time and see assigned parts of projects through to completion on deadline.
Basic consultation and communication skills.
Demonstrated fluency and competency with statistical programming with the R programming language or the Python programming language.
Experience with or a demonstrated ability to learn and implement data management and computational pipelines for management of large-scale data.
At least 6 months of experience in direct data management and analysis using medical and/or health-related data using the above tools.
Ability to lead and maintain data pipelines for real-time data acquisition from clinical systems
Ability to multi-task and work well with limited supervision
Working project management skills.
Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
Ability to communicate technical information in a clear and concise manner.

Preferred Qualifications

MS or greater in a related science or an equivalent combination of education and experience.
PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar.

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bioinformatics entry jobs in san francisco bay area ca

Data Scientist

Bioinformatics Scientist

Principal Scientist, Bioinformatics Human Genetics

Principal Computational Scientist, Discovery Chemistry

Principal Scientist – Translational Medicine (Tumor Microenvironment)

Computational Biology Expert - AI trainer

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