Job Description

Computational Scientist
Job Number: 21-11126
Be part of a company that delivers life-changing healthcare solutions. Eclaro is looking for a Computational Scientist for our client in Cambridge, MA.
Eclaro’s client is a leader in the Biopharmaceutical Industry, providing quality, innovative, and affordable medicines that make a difference in the lives of patients all over the world. If you’re up to the challenge, then take a chance at this rewarding opportunity!
Position Overview:
  • Help leverage discrete high depth patient sample cohorts for translational research in exploring cancer vulnerabilities, particularly as they relate to various intrinsic cancer pathways or immune evasion mechanisms of interest to the group.
  • This individual will play a key role hands-on in processing Chromium 10X singe cell expression data from basic filtering, doublet detection and cell clustering to more involved differential gene expression, co-expression analysis, and interrogation of target signatures of interest in cell phenotypes from tissue or circulating immune cells (PBMCs).
  • Will be expected to apply any needed normalization techniques to perform longitudinal treatment comparison or intra-patient tumor heterogeneity comparisons under scientific supervision.
  • Need to be well versed in pipelines or R-packages used in single cell expression analysis.
  • Basic correlation of data outputs with clinical cohort data will also be performed.
  • Need to have great communication skills as they will interact with a diverse team of scientist on discrete projects.
  • This will be a discrete project experience.
  • Under the guidance of Cancer Biology (Translational medicine) Client Scientist perform data analysis for 10x based single-cell and single-nucleus RNAseq data from patient tumor and PBMC samples, to support translational medicine efforts.
  • Detailed analysis to include: basic data filtering, doublet detection, some intra-sample normalization, cell clustering using reference datasets (or machine learning techniques if possible), DEA comparisons, various activity signatures across cell phenotypes, target expression and co-expression analysis.
  • In collaboration with TM scientists evaluate various hypothesis in such high dimensional datasets.
  • Summarize analysis results to scientist and collaborate on further project development
  • Help visualize findings for internal research communications as directed by scientist
  • Integrate information from multiple modalities for mechanistic discoveries when possible (ie RNAseq with protein expression or accessibility epigenetic assays such as single cell ATACseq)
  • Ph.D. or 3+ years of experience in computational biology, bioinformatics that included hands on experience with single cell RNAseq data analysis.
  • Strong experience using R or other programming language for complex data analysis is required.
  • Experience with reproducible research practices, including GitHub, is required.
  • Experiences working with NGS, single-cell RNA-Seq analysis is required.
  • Experience with analysis of single cell TCR seq and ATAC seq desired, ChIP-Seq a plus.
  • Familiarity with cloud computing environments (Docker, AWS) is a plus.
  • Expertise in application of modern machine-learning/AI approaches is a plus.
If hired, you will enjoy the following Eclaro Benefits:
  • 401k Retirement Savings Plan administered by Merrill Lynch
  • Commuter Check Pretax Commuter Benefits
  • Eligibility to purchase Medical, Dental & Vision Insurance through Eclaro
If interested, you may contact:
Jane Bautista
Jane Bautista | LinkedIn

Equal Opportunity Employer: Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Application Instructions

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