Job Post

Sr. Scientist/ Scientist- Analytics

PatientsLikeMe
160 Second Street
Cambridge, MA 02142

Analytics/Bioinformatics Scientist/Sr. Scientist

We are excited to announce that we are growing our team and are looking for a highly motivated Scientist or Sr Scientist to join the Biocomputing/Analytics group at PatientsLikeMe and iCarbonX. Our team is in in the extraordinary position to be building a massive health data set, as we are adding longitudinal multiple-modality -omics data to our unique patient-reported health data. The Biocomputing and Analytics group is heavily involved in laying the foundation of this project and a successful candidate will have the opportunity to have a significant impact on the development of this program. The multi-disciplinary nature of the project and extensive systems biology experience of the group in academia and pharma also affords great opportunity for a candidates growth and development. Under supervision of the Analytics team Director, the candidate will:

  • Establish/improve multi-omics cloud-based analysis pipelines, including genomics,
  • transcriptomics, metabolomics, proteomics, DNA methylomics, and potentially other
  • modalities
  • Perform statistical analyses, summarizations, and syntheses of data
  • Help evaluate the best parameters for biological and clinical analyses
  • Identify strategies and algorithms to more effectively use multi-platform data to extract
  • every bit of useful information
  • Communicate results in a clear, concise, and effective manner using various statistical
  • metrics and visualizations
  • Work closely with multiple other teams including engineering, knowledge management,
  • translational, and computational biologists

The ideal candidate will have many of these qualifications:

  • Education: Masters or PhD in a related field (e.g., bioinformatics, mathematics, statistics, bioengineering, computer science) and professional experience with the skills included below, or Bachelors with commensurate experience
  • Have experience developing and maintaining -omics pipelines in a variety of languages
  • Have familiarity with statistical analysis of complex data, preferably in the biological
  • sciences
  • Be proficient in at least some of: Python/Ruby, R/Julia/MATLAB/Mathematica,
  • Java/Scala/Groovy, bash/zsh, nextflow/cwl/toil and be comfortable working in
  • languages that are not your primary
  • Have at least a general understanding of machine learning concepts
  • Have some familiarity with biology/genomics/systems biology/immunology
  • Know how to work with databases of various types (postgres, mysql, mongo, etc)
  • Have awareness of data warehouses, data lakes, and other Big DataTM concepts
  • Have spent significant time data wrangling
  • Know how to interface with [restful/graphql] APIs
  • Have used AWS/Google Cloud/Azure to perform project-critical tasks
  • Be able to communicate effectively to colleagues of various backgrounds, skill sets, and educational experience
  • Have a heartfelt appreciation of science and a respect for the use of data to identify the closest approximation of truth
  • Have the cognitive dissonance of a desire to get the most correct answer possible while acknowledging the business need for rapid iteration and the inherent imperfection that requires
  • Be eager to find effective solutions, to design, implement, and document them
  • Be comfortable working as part of a team in a highly dynamic environment
  • Be comfortable being asked to work in areas outside of their expertise
  • Have empathy for consumers of information which generates a desire to produce effective displays/visualizations/presentations of complicated data

Must be local to our Cambridge office, or willing to relocate.

AboutPatientsLikeMe:

In January 2017, we formed the Digital Life Alliance that includes the companiesiCarbonX, PatientsLikeMe, and HealthTell. Our vision is to fundamentally transform the healthcare & wellness of individuals & communities by unlocking the power of deep & dynamic digitization of biological information. By combining multi-omics biological data, smart device biophysical data and patients phenotypic data with artificial intelligence,wewill enable a real-time, deep assessment on ones health and wellness, and deliver a personalized guide and range of products to help people live a healthy, longer life. To achieve our vision, we are developing state of the art multi-omics technology platforms to digitalize biological data and apply insights gained from the process into development of medical and wellness products.

PatientsLikeMeis an equal opportunity employer.

Category: Data Science / Machine Learning
Full-time

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