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Life Science Rsch Prof 1

Stanford, CaliforniaDate posted 12/02/2023Category ResearchWork Arrangement On Site
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Overview

It takes a curious mind to unlock the future, and tremendous passion to make the impossible happen. As a Life Science Rsch Prof 1, you’ll play a critical role in our research labs by changing the trajectory of medicine. You’ll work alongside some of the top minds in science and have an ongoing opportunity for education. As we continue to reach toward novel approaches in the life sciences, our NIH ranking and backing of Stanford Medicine allow you to see your projects through. Join us and be a part of discovering the next breakthrough at Stanford School of Medicine. We're better with you.

  • Full-time
  • Level: Entry Level
  • Travel: Minimal (if any)
  • Salary: $63K-$96K
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Success Profile

What makes a successful Life Science Rsch Prof 1 at Stanford Medicine? Check out the traits we’re looking for and see if you have the right mix.

  • Analytical
  • Detail-Oriented
  • Problem Solver
  • Curious
  • Responsible
  • Self-Starter

Career Path

Icon Icon
  • Life Science Research Professional 1 leads to Doctor of Philosophy (Ph.D.) or Medical Degree (MD) Program or Life Science Research Professional 2
    Doctor of Philosophy (Ph.D.) or Medical Degree (MD) Program
  • Life Science Research Professional 2 leads to Life Science Research Professional 3/Lab Manager
  • Life Science Research Professional 3/Lab Manager

Employee Benefits

  • Comprehensive Health and Welfare Benefits

  • Unmatched Time Away Benefits

  • Unique Education Benefits

  • Work-Life Programs

  • Stanford Sweeteners

Job Description

Requisition ID: 101612Date posted 12/02/2023Job Status Regular

The Qiu Lab, set to commence on December 16, 2023, within the Departments of Genetics and Computer Science (Courtesy) and the Basic Science and Engineering (BASE) Initiative of Stanford University, is in search of exceptional experimentalists or technology developers. We welcome applicants with expertise in genomics, bioengineering, developmental biology, synthetic biology, or closely related fields. While our primary interest is in bachelor-degree level candidates, graduates and master's research assistants are also encouraged to apply. Successful candidates will demonstrate a solid grounding in molecular biology, single cell, multiomics, spatial genomics assays, genetic editing, and other pertinent experience areas, including cell culture, imaging, mouse work, Perturb-seq, lineage tracing, nanopore sequencing, cardiovascular diseases, and more. Our goal is to apply and develop next-generation experimental tools for emergent single cell and spatial genomics technologies, focusing on dissecting the molecular mechanism during development and diseases such as embryogenesis, hematopoiesis, heart organogenesis, and congenital heart disease. An ideal candidate will not only bring a rich experimental background but will also exhibit a collaborative spirit, enthusiasm for interdisciplinary research, and an appetite for pioneering new research domains in genomics.

The Qiu Lab at Stanford is a brand-new lab that previously made significant contributions to the development of novel predictive computational tools in single cell and spatial transcriptomics. Representative publications include Spateo: Qiu et al., bioRxiv, Stereo-seq: Chen et al., Cell, 2022; Dynamo: Qiu, Zhang, et al., Cell, 2022; Monocle 2: Qiu et al., Nature Methods, 2017a/b. We pride ourselves on our aptitude for developing innovative and foundational algorithms and software that combine advanced genomics approaches with advanced machine learning, dynamical systems, and other systems biology approaches to learn data-driven models to push the boundary of technology and biology and to eventually empower biologists to gain mechanistic and predictive insights of cell fate transitions in development and diseases. The chosen candidate will join a multidisciplinary team of biologists, engineers, machine learning experts, mathematicians, and physicists. We offer an enriching training environment where post-docs, students, and other members can grow into leaders in both academia and industry.

We offer a highly competitive salary, adjustable based on the candidate’s training level. The candidate will need to primarily work in the lab located in Stanford's picturesque main campus, which is also close to Silicon Valley, a hub for biotechnology, engineering, and computer science.

Stanford university is an equal opportunity employer. Diversity and inclusion are core values of Stanford and the University is committed to non-discrimination in employment.

Duties include:

·Apply, optimize and develop single cell RNA-seq, metabolic labeling enabled scRNA-seq, Perturb-seq, multi-omics, long-read sequencing (nanopore, pacbio), STARmap, 10x Visium, Stereo-seq, or combinations of these technologies with other research assistants, graduate students, or Post-doc in human cells and/or in vivo models of disease

·Evaluate and recommend new emerging technologies, approaches, and problems

·Work with team members to develop, design, and carry out experiments that are essential to the group’s collective success

·Interpret experimental results; document, summarize and present findings in individual and group meetings

·Consult with team leader on priorities, methods, and timelines

·Maintain a detailed organizational plan and record to ensure successful and timely completion of required tasks

·Contribute to generation of protocols, publications, and intellectual property

·Contribute to establishing laboratory protocols, setup, and standards for Qiu Lab

*- Other duties may also be assigned

The expected pay range for this position is $53,000 to $76,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

DESIRED QUALIFICATIONS:

Degree in biology or related field. Highly motivated candidates of all levels are encouraged to apply.

2+ years of experience in a research laboratory

Experience with single cell and spatial genomics, other standard molecular biology techniques, and mammalian cell culture

Strong technical knowledge and experience with molecular biology

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree in related scientific field.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

·General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.

·Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.

·Ability to maintain detailed records of experiments and outcomes.

·General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.

·Ability to work under deadlines with general guidance.

·Excellent organizational skills and demonstrated ability to accurately complete detailed work.

CERTIFICATIONS & LICENSES:

None

PHYSICAL REQUIREMENTS*:

·Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.

·Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.

·Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.

·Must have correctible vision to perform duties of the job.

·Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.

·Ability to lift heavy objects weighing up to 50 pounds.

·Ability to work in a dusty, dirty, and odorous environment.

·Position may require repetitive motion.

*- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

·May require working in close proximity to blood borne pathogens.

·May require work in an environment where animals are used for teaching and research.

·Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present.

·Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator.

·May require extended or unusual work hours based on research requirements and business needs.

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Why Stanford Medicine?

Stanford University has the unique benefit of being both well-established and intent on the future. As one of the most influential academic institutions in the world, our thought leaders, staff and cutting-edge, collaborative culture have fueled our belief in every possibility.

Testimonial

When I started my job at Stanford, I did not know what to expect, but I quickly discovered an exceptional work environment. As a Life Science Research Professional in Neurology, I see the enormous impact my work has on the future of medicine. My coworkers prioritize collaboration and are always willing to teach me something or sit down for a scientific discussion. In my lab at Stanford School of Medicine, I found people who care about my career development and who share my commitment to improving the human condition, one day at a time.

–Javier Ramos Benitez, Life Science Research Professional - Neurology

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