Computational Microbiome Researcher in the Lynch Lab at the University of California San Francisco.

The Lynch Lab at the University of California San Francisco has an opening for a Computational Microbiome Researcher to lead an exciting program of human microbiome research. We are seeking highly talented and motivated candidates with a strong research background in microbiome data analytics to join our multi-disciplinary team. The individual will lead data analysis efforts on studies primarily focused on large multi-dimensional datasets and multi-modal data analyses to identify microbial features that predict, prevent and treat chronic inflammatory diseases. These efforts are part of a vibrant translational research program that has already successfully brought a rationally designed microbial therapeutic to first-in-human clinical trials.

Candidates will be expected to work independently, be intellectually engaged in projects and be active contributors to the collaborative multidisciplinary team of microbiologists, immunologists and biostatisticians who form the Lynch Lab. The successful candidate will report directly to Dr. Susan Lynch but will work closely with intramural and extramural collaborators within and outside of the group.

• Desired Qualifications:
• Specialists appointed at the Assistant rank must possess a master’s degree (or equivalent degree) in computational/systems biology with a focus on microbiome research or a related discipline or at least five years of experience in the relevant specialization.
• Specialists appointed at the Associate rank must possess a master’s degree (or equivalent degree) in computational/systems biology with a focus on microbiome research or a related discipline or at least five to ten years of experience in the relevant specialization.
• Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) in computational/systems biology with a focus on microbiome research or a related discipline or at least ten or more years of experience in the relevant specialization.
• Experience with data harmonization and multi-modal data analysis
• Demonstrated ability to work within a collaborative research team and effectively interact with a broad range of colleagues from distinct disciplines
• Ability to work independently and productively and to troubleshoot
• Superb organizational and record-keeping skills
• Excellent written and oral communication skills

Please apply online at https://aprecruit.ucsf.edu/JPF04250. Applicants’ materials must list current and/or pending qualifications upon submission.

• Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).

• Cover Letter

• Statement of Research (Optional)

• Statement of Teaching (Optional)

• Statement of Contributions to Diversity - Please see the following page for more details: https://diversity.ucsf.edu/contributions-to-diversity-statement
  (Optional)

• Misc / Additional (Optional)

• 3-5 required (contact information only)

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy found here: https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19.

UC San Francisco seeks candidates whose experience, teaching, research, or community service that has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/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, age or protected veteran status.