Computational Specialist-Beckman Core Technology Resource Centers

Stanford Reglab; United States; On-site; USD 55,000 - 85,000; Full time

Job summary

The Beckman Center for Molecular and Genetic Medicine at Stanford University is seeking an entry-level Computational Specialist to support data analysis and data management across three shared research facilities: CSIF, PAN, and the FACS Facility. This role provides an opportunity to apply computational skills to diverse biological data in a collaborative environment.

Ideal for recent graduates with programming experience who want hands-on involvement in research projects, experimental design,

Qualifications

• Bachelor's degree or higher in a life science or related field.
• Experience applying computational skills to biological data.
• Ability to learn and use computer programs, databases and scientific applications.
• Strong record-keeping and organizational skills.

Responsibilities

• Plan approach to experiments in support of research projects.
• Independently conduct experiments; maintain detailed records of experiments and outcomes.
• Apply theories and methods of life sciences to interpret analyses and suggest procedural modifications.
• Review literature to stay current with new procedures and apply learnings.
• Contribute to publication of findings and prepare procedures, presentations, and proposals.
• Maintain lab stock, inventory and safety records; provide general lab support.
• Assist with orientation and training of new staff or students on lab procedures.

Skills

Data analysis

Computational thinking

Programming experience

Record keeping

Laboratory data management

Quick learner

Education

Bachelor's degree in related scientific field

Job description

The Beckman Center for Molecular and Genetic Medicine at Stanford University is seeking an entry-level Computational Specialist to support data analysis and data management across three shared research facilities: the Cell Sciences Imaging Facility (CSIF), the Protein and Nucleic Acid Facility (PAN), and the FACS Facility. These facilities provide microscopy, mass spectrometry, sequencing, and flow cytometry services to research groups across Stanford.

This position is a good fit for a recent bachelor's or master's graduate with programming experience who wants to apply computational skills to biological data. The person in this role will work with the directors and staff of all three facilities and with a broad range of research labs.

Applying a comprehensive understanding for the theories and methods of a life science discipline, perform work directly involved in research projects, interpreting results and participation in experimental design.

Core Duties

• Plan approach to experiments in support of research projects in lab and/or field based on knowledge of scientific theory.

• Independently conduct experiments; maintain detailed records of experiments and outcomes.

• Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researcher.

• Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research.

• Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.

• Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed.

• Assist with orientation and training of new staff or students on lab procedures or techniques.

Minimum Education and Experience

Bachelor's degree in related scientific field.

Knowledge, Skills and Abilities

• 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.