Life Science Research Professional 1
Stanford University

Life Science Research Professional 1🔍School of Medicine, Stanford, California, United States📁Research📅Apr 11, 2024 Post Date📅102872 Requisition #The Qiu Lab, 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 diseaseEvaluate and recommend new emerging technologies, approaches, and problemsWork with team members to develop, design, and carry out experiments that are essential to the group's collective successInterpret experimental results; document, summarize and present findings in individual and group meetingsConsult with team leader on priorities, methods, and timelinesMaintain a detailed organizational plan and record to ensure successful and timely completion of required tasksContribute to generation of protocols, publications, and intellectual propertyContribute to establishing laboratory protocols, setup, and standards for Qiu Lab

*- Other duties may also be assigned.
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 laboratoryExperience with single cell and spatial genomics, other standard molecular biology techniques, and mammalian cell cultureStrong 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.

WORKING STANDARDS:

Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu/.

The expected pay range for this position is $26.44 to $36.54 per hour. 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.Additional Information

• Schedule: Full-time
• Job Code: 4943
• Employee Status: Regular
• Grade: E
• Department URL: http://genetics.stanford.edu/
• Requisition ID: 102872
• Work Arrangement : On Site

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