Ab Initio

Lantern Pharma is looking for talented and highly motivated R Shiny based front end web application developers to visualize the data analyzed / reports generated using bioinformatics pipelines. Leveraging your background and applying software engineering principles, to develop applications and tools in support of data visualization and reporting using R / R Shiny. You will be involved in generating complex graphs used for statistical analysis and interpretation using interactive libraries such as Plotly. In addition to development of new code, you will support and maintain standard R programs, which will comprise a library of code to be used for future development. This is a 6 months contract position (40 hrs / week) with possibilities of full time employment based on performance.

RESPONSIBILITIES:

• Design and develop interactive web applications using R / R Shiny to visualize ML outputs, multi-omics data and reports generated by bioinformatics pipelines
• Use the open-source or proprietary R libraries to build useful applications and packages
• Write efficient, clean and well tested code that adheres to best practices
• Organize data, analysis, reports, and applications into reproducible pipelines
• Test and debug applications to ensure they are working correctly, using both manual and automated testing techniques
• Stay up-to-date with the latest R packages and developments in the pharma industry
• Publish R packages to internal company repository
• Deploy and maintain the R Shiny web-application on the AWS server

BASIC QUALIFICATIONS:

• Bachelor's degree required (Master’s degree preferred) in a scientific discipline such as Statistics, Computer Science, Bioinformatics etc.
• Minimum 2 years of R / R Shiny, R Markdown experience with standard packages for data visualization and analysis
• Proven ability of building interactive R-shiny application (demo of the R-shiny application)
• Proficient in libraries such as ggplot2, plotly, dplyr, Highcharter and DT
• Must have experience in generating and working with R markdown reports
• Experience of AWS to host R shiny application is a plus
• Knowledge of cancer biology, genomics and drug development is a plus
• Familiarity with JavaScript, HTML, CSS, Python a plus
• Experience in building a database using Relational / Non relational Database (SQL / NoSQL)
• Must be capable of developing collaborative relationships with colleagues
• Must be self-motivated and have strong analytical, interpersonal, and project management skills
• Must demonstrate the ability to present ideas, issues, and observations in a clear manner

Lantern provides multiple growth opportunities and as an early team member, your work will have a direct impact on precision oncology that can transform drug development. In addition to attractive compensation, we offer employees the opportunity for competitive health, dental & vision insurance, stock options in a public company, an opportunity to take leadership on new and meaningful projects, & involvement with leading conferences & industry trade shows.

• Proficient in Python 2 / 3 and have built products before (managing the entire DevOps cycle) - proficient in Python Data Structures
• Good understanding of Open Source Visualisation Tools like D3.JS, Matplotlib etc.
• Good understanding of Functional APIs and Data Ingestion viz. Pandas’ dataframe from SQL DB and Excel (CSV) & Flat files of (primarily) structured data - no data cleansing
• Growth mindset - eagerness to learn and grow in the role
• Qualifications: B.Tech / BE / Graduate Engineer in any stream (preferred Mech / Industrial Engineer)
• Compensation : At par with industry (with stock options / grants to be vested over 3 years)