LinkedIn HH: Bioinformatics Scientist APPLY TO THIS JOB


We are looking for a talented and experienced Bioinformatician. Pay will be in accordance with abilities and experience.

  • Full-time only
  • Position is remote
  • No agencies

Salary: 50k-200k USD /yr

  • Equity is also available for outstanding applicants and those with leadership abilities.

Education:

  • Preferably Ph.D. in an 'Omics' field.

Responsibilities:

  • Automate the curation of databases for the most relevant data.
  • Provide statistical and computational tools for biologically based activities such as genetic analysis, polygenic risk scores, measurement of gene expression, and gene function determination.
  • Create or modify web-based bioinformatics tools.
  • Develop methods and perform analyses that will advance the understanding of human genetics and shape SelfDecode’s consumer product.
  • Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
  • Analyze data on gene and lab substance interactions.

Skills & Attributes:

  • Excellent interpersonal and communications skills and ability to lead in a remote environment and organization.
  • Fluency in programming and scripting languages is required (e.g., R, Python, etc.) and their use in a LINUX environment.
  • In depth knowledge of integrative omics analysis, next generation sequencing, data mining, complex data analysis, statistics and or in-depth knowledge of diagnostic algorithms and clinical applications of machine learning approaches.

Experience:

  • Experience in computational approaches for whole genome analysis and or genotyping analysis.
  • Experience working on GWAS, PRS, Clinical Genomics, is strongly desired.
  • Demonstrated ability and history of writing software and or algorithms utilizing large biomedical data sets.
  • Experience analyzing large molecular datasets such as genomic sequence data.
  • Hands-on experience working with very large datasets in Python.
  • Experience in algorithm development or machine learning approaches.
  • Experience in development
  • Proven record of applying or developing computational biology approaches to generate new hypotheses.
  • Proven record of conducting collaborative research.
  • Proven record of contributing to cross-disciplinary projects and working in large teams.
  • Knowledge of at least some of the following:
  • Spark
  • Pandas
  • Numpy
  • Scipy

Bonuses:

  • Natural language processing abilities...to automate the extraction of the necessary information.