The Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling.
We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression.
This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational research environment.
Duties include:
- Assess user needs and requirements.
- Design and develop applications that may involve sophisticated data manipulation.
- Maintain and update existing programs.
- Troubleshoot and solve technical problems.
- Create programs to meet reporting and analysis needs.
- Design and implement user and operations training programs.
- Document changes in software for end users.
- Follow team software development methodology.
- Serve as technical resource with respect to applications.
- Support research translation, licensing, and commercialization strategy, including coordination with venture capital firms and Stanford’s innovation ecosystem.
- Assist with scientific writing, data visualization, and manuscript preparation.
* - Other duties may also be assigned.
DESIRED QUALIFICATIONS:
- Bachelor’s degree or higher in Computer Science, Bioinformatics, Biomedical Engineering, Management Science & Engineering, or a related field.
- Strong background in data science, or computational biology, especially in handling single-cell, spatial transcriptomics, or imaging data.
- Strong background in automatic data analyses tool development and deployment, distributed systems and others
- Proficiency in Python, R, or other scientific programming languages, with experience in software development and data pipeline automation.
- Experience with cloud computing platforms (e.g., AWS, GCP) and collaborative development tools (e.g., GitHub, Docker).
- Familiarity with scientific publication processes, manuscript preparation, and figures.
- Demonstrated ability to assess user needs, troubleshoot complex technical issues, and design user-friendly, scalable applications.
- Knowledge of research translation and commercialization strategy, including startup planning and engagement with venture capital firms.
- Experience preparing research presentations, grant proposals, or supporting industry/academic collaborations.
- Ability to work independently and collaboratively across interdisciplinary teams in a fast-paced academic or startup-like environment.
- Excellent communication and organizational skills, with attention to detail and strong documentation practices.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree and three years of relevant experience or a combination of education and relevant experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Working knowledge of latest software and design standards.
- Ability to define and solve logical problems for technical applications.
- Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.
- Ability to recognize and recommend needed changes in user and/or operations procedures.
- Basic knowledge of software engineering principles.
- Strong knowledge of at least one programming language.
CERTIFICATIONS & LICENSES:
None.
PHYSICAL REQUIREMENTS*:
- Constantly perform desk-based computer tasks.
- Frequently sit, grasp lightly/fine manipulation.
- Occasionally stand/walk, writing by hand.
- Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds
* - 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 work extended hours, evening and weekends.
WORK STANDARDS (from JDL):
- 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 $107,423 to $133,600 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.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
