The Beckman Center seeks a PhD-level Computational Specialist to serve as a technical liaison and innovator in bioinformatics, data analytics, machine learning, and AI, with a focus on cell, molecular, and developmental biology and biochemistry. This role will drive researcher productivity by leading cross-functional collaborations, developing cutting-edge solutions, delivering training, and fostering partnerships to accelerate discovery in basic and translational biomedical research. The ideal candidate holds a PhD in computational biology, bioinformatics, or a related field, with postdoctoral experience applying advanced computational tools to high-impact biomedical projects.
In this position, you will provide high-level technical solution development and support for basic, clinical, and translational research teams, collaborating with diverse groups of researchers, faculty, students, and staff to assist in selecting and developing innovative technical solutions. Your responsibilities will include onboarding, addressing user inquiries, delivering workshops and consultations, and contributing to complex technical and workflow projects. You will manage the direct integration of technology into research projects to resolve complex and novel research questions, often requiring solutions that combine multiple computational tools and techniques. You will also analyze user feedback to propose and develop new computational approaches, tooling, and training to better meet researcher needs, while leading the development of computational learning opportunities for the research community through workshops, classes, onboarding, and documentation.
DESIRED QUALIFICATIONS:
The ideal candidate holds a PhD in computational biology, bioinformatics, computer science, or a related quantitative field (PhD preferred), with 3+ years of postdoctoral or professional experience applying computational tools to biomedical research projects. They should demonstrate proficiency in programming languages commonly used in bioinformatics (Python, R, Bash) and experience with data analysis libraries and frameworks, along with demonstrated expertise in the application of computational approaches to biological data. The candidate will have experience designing and delivering technical training, workshops, or educational content to diverse audiences, with strong communication skills and the ability to translate complex computational concepts for researchers with varying technical backgrounds. They should bring a track record of collaborating with interdisciplinary research teams and stakeholders across institutional or departmental boundaries, identifying user needs, gathering feedback, and iterating on solutions to improve research workflows. Familiarity with research data management, workflow automation, or developing reproducible computational pipelines is preferred.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree and three or more years of relevant experience or combination of education, training, and relevant experience. Advanced degree may be required for some programs. For jobs with financial responsibilities, experience managing a budget and developing financial plans.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
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Ability to develop program partnerships and funding sources.
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Excellent oral, written, and analytical skills, exhibiting fluency in area of specialization.
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Ability to oversee and direct staff.
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Basic knowledge of managing budgets and developing financial plans.
CERTIFICATIONS & LICENSES:
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For teaching jobs, advanced degree or certification may be required for some programs.
PHYSICAL REQUIREMENTS*:
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Frequently stand/walk, sitting, grasp lightly/fine manipulation, perform desk-based computer tasks.
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Occasionally use a telephone, writing by hand, lift/carry/push/pull objects that weigh up to 40 pounds.
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Rarely sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds.
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Ability to use voice to present information/communicate with others.
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On-campus mobility.
- - 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:
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May work extended hours, evenings or weekends.
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May travel locally.
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Occasional overnight travel.
WORK STANDARDS:
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Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
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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.
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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 $116,966 to $150,114 per annum.
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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 Stanfordʼs extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
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 by submitting 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.
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.
