斯坦福招聘生信科学家

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https://www.linkedin.com/jobs/view/3648026838/?refId=yZ1cQcfVMQt2Q0d8ncKc0w%3D%3D&trackingId=yZ1cQcfVMQt2Q0d8ncKc0w%3D%3D
About the job
If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.

Day - 08 Hour (United States of America)

From primary care to complex specialty care, Stanford Medical offers the highest quality health care services in a comfortable and caring environment. Our experienced and dedicated doctors, nurses, and staff are committed to providing individualized attention and personalized care. We are proud to be an affiliated hospital of Stanford University, where cutting-edge research and advanced medicine bring together state-of-the-art treatments and expert care. Our health care team works closely with each patient to provide comprehensive care and comprehensive services tailored to their unique needs. We are dedicated to delivering the highest quality health care in a safe, supportive setting.

This is a Stanford Health Care job.

A Brief Overview

Senior Staff Scientist will be part of a growing clinical genomics team of bioinformaticians, lab scientists, data curation scientists, clinicians and medical fellows. The Clinical Genomics Program (CGP) is a collaboration between Stanford Hospitals and Stanford School of Medicine to deliver best-in-class genomics services to the Stanford community. CGP plans to use a multi-omics (whole-Genome and transcriptome) analysis approach to diagnosis. This position is responsible for developing novel tools (LIMs, workflow automation) and algorithms (DNASeq and RNASeq) for use in a clinical diagnostics setting. This position will be responsible for evaluating current algorithms and tools and developing a "best-practice" set of methods; guiding and mentoring other junior members of the bioinformatics team; interfacing with the Variant Interpretation team to identify gaps in variant detection, annotation, and workflow support; and developing novel methods and tools to fill those gaps.

Locations

Stanford Health Care

What You Will Do
Develop novel algorithms for genome assembly, variant detection (SNPs and InDels) and structural variant detection (CNVs, Inversions and Translocations) for a clinical-grade genome analysis.
Develop novel methods to integrate different NGS technologies such as Short-reads and Long-reads (DNASeq) to solve analytical challenges.
Implement cloud-based analytical pipelines to process thousands of clinical whole genome sequencing (WGS) data sets.
Apply best practices in DevOps, using tools like Docker, Kubernetes, Terraform, and Ansible to manage cloud projects and automate building, testing, and deployment of software components.
Lead development work to maintain and improve distributed workflow management infrastructure, LIMS, and other critical infrastructure.
Analyze clinical datasets (including exome and whole genome sequencing) to generate clinical diagnostic reports.
Design and communicate plans for complex software projects using best practices in software development and robust design of distributed systems.
Identify and correct any weaknesses in systems or team processes related to security, completeness and quality of data analysis, efficient resource usage, or robustness.
Provide detailed technical assistance to other team members and foster a culture of cooperation and personal development.
Work closely with data curators and genetic counselors to identify opportunities to increase the overall solve-rate of clinical cases through better algorithms and tools.
Perform other related duties as assigned.
Education Qualifications
Graduate Degree (Ph.D, M.S with considerable experience will be considered) in Computer Science/Engineering, Bioinformatics, Mathematics, Statistics and other related fields.
Experience Qualifications
Ph.D. plus 3 or M.S plus 6 years of experience developing algorithms for NGS platforms (preferably in a clinical setting).
Knowledge, Skills And Abilities
Experience in leading algorithms/software development projects and teams.
Strong experience developing bioinformatics algorithms and tools used in NGS analysis as evidenced by publications and GitHub repositories.
Proficiency in Bayesian and non-Bayesian statistical genetic methodologies.
Experience developing Machine Learning algorithms is a plus.
Experience in automating management of distributed systems in the Cloud, including provisioning, administering, testing, and monitoring.
Experience with REST API design.
Experience with designing architecture of distributed systems.
Demonstrated experience with Cloud architecture and cloud-based dev-ops tools.
Experience with best practices, tools, and philosophies for modern software development (git, issue trackers, testing frameworks, Agile, CICD).
Demonstrated team leadership skills paired with deep technical expertise.
These Principles Apply To ALL Employees

SHC Commitment to Providing an Exceptional Patient & Family Experience

Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.

You will do this by executing against our three experience pillars, from the patient and family’s perspective:
Know Me: Anticipate my needs and status to deliver effective care
Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
Coordinate for Me: Own the complexity of my care through coordination
Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.

Base Pay Scale: Generally starting at $60.86 - $80.65 per hour

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.