Location: South San Francisco, CA

Department: Informatics

Type: Full Time

Min. Experience: Mid Level

General Description

Second Genome, a fast-paced and innovative venture capital funded biotechnology company, seeks an accomplished Biostatistician to join our growing informatics team. Must be energetic and flexible to contribute answers for a wide variety of biological inquiries and perseverant to complete complex multi-omic microbiome data analyses.

Candidate Background

The ideal candidate for this position will have a Ph.D. in Statistics, Mathematics, Data Science or related discipline with multiple publications demonstrating expertise in applied biostatistics in the field of microbiomics.

Key Responsibilities

  • Apply appropriate tests on 16S rRNA gene abundance, shotgun metagenomics and metatranscriptomics data from next generation sequencing output and PhyloChip hybridizations.

  • Apply appropriate tests on cell based (in vitro) and animal model (in vivo) assay results.

  • Present findings and reasoning internally and externally, integrate observations and feedback from the R&D team and execute follow-up analyses.

  • Filter and prioritize findings not only on likelihood of reproducibility but also in response to team guidance on therapeutic importance, novelty, and other criteria.

Required Attributes

  • Experience in analyzing sparse microbiome data typically encountered in NGS workflows aimed at monitoring community microbial dynamics, microbial functional capacity and expression.

  • Ability to analyze large-dimensional data from metagenomics, metatranscriptomics and microarrays.

  • Proficiency in a high-level programming language such as Perl, Python, or shell and in a statistical computing environment such as R to execute analyses in Linux or OSX.

  • Ability to manage multiple projects and milestones simultaneously.

  • A contagious excitement for large-scale data analysis and interpretation.

  • Conversant in current gut microbiome research and experience presenting orally at conferences.

Preferred Attributes

  • Background in therapeutics discovery.

  • Accomplishments in machine learning.

  • Experience in drawing conclusions from bioinformatic outputs from tools such as mothur, QIIME, greengenes, RDP, silva, MetaPhlAn, DADA2, or PiPhillin.

  • Accomplishments in linking shifts in microbial populations or expression to changes in host functions or phenotype.

  • Experience with gene, protein and pathway annotations such as Pfam, KEGG and BioCyc for hierarchical analyses and GSEA.

  • Infer functional capacity of a metagenome from microbial community structure.

  • SQL database design, management and queries.

  • Deploying and maintaining resources on cloud services such as Amazon’s EC2, RDS, and S3.

  • Domain knowledge in inflammation, mucosal biology, metabolic disease, immuno-oncology, agriculture or related fields.

  • Source code revision control such as SVN, git, or related systems.

  • Parallel computing experience.

Our work culture

  • The ability to work as a team member and a willingness to become part of an entrepreneurial biotech drug discovery atmosphere is a must. Strong interpersonal communication skills and self-motivation are highly desirable and the candidate must demonstrate an understanding of the general business aspects of a biotech organization. Our compensation package includes competitive salary commensurate with experience, as well as benefits, stock options and annual bonus.  Free snacks everyday, free lunch most weeks, a guitar break room and yoga classes are all perks you'll enjoy as you connect with our growing team. 

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