• University of California San Francisco
  • $76,360.00 -119,550.00/year*
  • Stoughton , WI
  • Information Technology
  • Full-Time
  • unit7units 280 Business Park Cir


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Job Summary

JOB OVERVIEW
The Bioinformatics Programmer will work with the Principal Investigator (PI) under direct supervision in designing, testing, and validating algorithms and models for data analysis, providing data visualization of analyzed results, for various ongoing life sciences projects. The successful applicant will use professional bioinformatics concepts, and assist in additional analyses as needed to achieve research objectives.

Please note: This is a full time one year contract position starting from the date of hire.

MEDICINE / CARDIOLOGY
The Arnaout laboratory studies deep and machine learning methods for biomedical imaging and related clinical data, with the goals of decreasing diagnostic error and developing and scaling novel phenotypes to drive precision medicine research.

UCSF is a top-10 medical center and a leader in cross-campus efforts to mine, harmonize, and analyze multi-modal clinical data for the University of California s 15 million patients.

The Arnaout laboratory is part of both the Bakar Computational Health Sciences Institute, where the aforementioned efforts are based, and the nationally ranked Department of Medicine. Projects focus on deep learning for medical imaging, and through collaborative work with intra- and inter-institutional partners, touch the electronic health record, genetics, and other sources of data.

Required Qualifications

Bachelor's degree in biological science, computational / programming, or related area
Master s degree in bioengineering, computer science, or related computational field, or three years of equivalent data science experience
Minimum one year of industry experience in data science, specifically with cutting-edge machine learning approaches to data analysis; two to three years preferred
Working knowledge of bioinformatics methods and data structures
Working knowledge of databases
Working knowledge of modern biology and applicable field of research
Knowledge of application and data security concepts
Fluency in Python
Working knowledge of R and bioinformatics pipelines
Expertise in machine learning techniques such as convolutional neural networks, recursive neural networks, LSTMs, random forests
Interest in applying computational analysis to life sciences data
Demonstrate high integrity and professionalism to work with patient data in a HIPPA-compliant in a morally and ethically responsible manner
Team player with 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
Self-motivated, able to learn quickly, meet deadlines and demonstrate strong organizational and problem solving skills

Note: Physical/health screening required.

Preferred Qualifications

Two to three years of industry experience in data science, specifically with cutting-edge machine learning approaches to data analysis
Working knowledge of applications programming and web development
Working project management skills

License/Certification

n/a

Job Code and Payroll Title

9402 Bioinformatics Programmer II

Organization

Campus

Appointment Type

Career

Percentage

100%

Location

TBD

Work Days

40 hours per week

Shift

Days

Shift Length

8 Hours

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.


Associated topics: bacteria, drug, food, microbiological, microbiology, nutritionist, patient, pharmacology, physiology, transfection

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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