Skip to main content

This job has expired

You will need to login before you can apply for a job.

Scientist, Computational Biology / BioData Science

Employer
Scorpion Therapeutics
Location
Boston, MA
Start date
Jun 8, 2022

View more

Discipline
Science/R&D, Biology, Biotechnology
Required Education
Doctorate/PHD/MD
Position Type
Full time
Hotbed
Genetown, NextGen Bio

Scorpion Therapeutics is a precision oncology company founded in February 2020 by a preeminent group of scientists from Harvard University/Massachusetts General Hospital – Keith Flaherty, MD, Gaddy Getz, Ph.D. and Liron Bar-Peled, Ph.D. The company has raised $270M in Series A and Series B financings led by blue-chip investors, including Atlas Venture, Boxer Capital of Tavistock Group, EcoR1 Capital, LLC, Omega Funds, and Vida Venture.

Scorpion Therapeutics’ mission is to serve oncology patients by discovering and developing best-in-class and first-in-class, small molecule cancer medicines that address large patient segments with significant unmet medical needs. To accomplish this mission, we are building a highly collaborative team focused on the pursuit of novel approaches to small molecule drug discovery. This approach relies upon dynamic collaboration between cancer biology, proteomics, informatics, structural biology and medicinal chemistry – with the ultimate goal of realizing the full potential of targeted/precision oncology.

We are seeking a highly motivated Computational Biologist to join our Data Science team. This role will provide exposure to multiple phases of drug discovery and development, with a mission to leverage information-rich datasets to validate targets, elucidate mechanism of action, and inform patient selection strategy. The successful candidate will interact closely with colleagues across the company, and be a key contributor on a diverse, multidisciplinary team.

KEY RESPONSIBILITIES
  • Identify and evaluate novel therapeutic targets through mining large omics datasets
  • Analyze data from high-throughput molecular assays including RNA-seq, ChIP-seq, ATAC-seq and CRISPR screens
  • Work in close collaboration with scientists from target identification and validation group contributing to experimental design
  • Provide analysis and interpretation of results and present findings in cross-functional project team meetings
  • Maintain excellent communication across internal and external team members
PROFESSIONAL EXPERIENCE/QUALIFICATIONS
  • Ph.D. in Computational Biology, Bioinformatics, Statistics, or other quantitative field
  • Strong coding skills, fluency in R or Python for complex data analysis and visualization
  • Experience in analysis of large datasets from high-throughput sequencing (e.g. RNA-, DNA-, ChIP-, and ATAC-seq)
  • Strong understanding of relevant concepts in cancer biology and molecular biology
  • Understanding of current best practices for high-throughput genomics/molecular data analyses and their underlying statistical principles
  • Experience in network/pathway mapping and integration of orthogonal omics datasets
  • Experience with AWS compute environment is highly preferred
  • Experience with Nextflow DSL is a plus
  • Experience with R-Shiny is a plus
  • A strong record of achievement, including publications in high-impact journals
  • Integrity, scientific rigor and commitment to teamwork

#LI-PJ1

Scorpion Therapeutics Inc. is an Equal Opportunity Employer who strives to create and maintain a diverse working environment. We do not discriminate for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Beginning October 13, 2021, Scorpion Therapeutics requires all new hires to be fully vaccinated against COVID-19. If you are unable to receive the vaccine due to a disability or serious medical condition, or because of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation.

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert