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Senior Genomic Medicine Scientist - REMOTE

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Ph.D./M.S./Btech in life sciences with 2+ years of experience in computational biology or related fields, Strong programming skills in R, MATLAB, Python, or Perl for data analysis, experience with Next Generation Sequencing datasets and cloud computing, Familiarity with machine-learning/AI approaches, ability to work independently and collaboratively, excellent communication skills.

Key responsabilities:

  • Analyze clinical and biomarker datasets, develop computational methods for patient stratification, drive in-depth analysis of patient data
  • Collaborate with experimental teams to validate therapeutic hypotheses, summarize analysis results for decision-making bodies
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Job description

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Your missions

Responsibilities

  • Perform analysis of clinical and biomarker datasets (e.g., large-scale -omics datasets including RNASeq, and Whole Exome/Genome Sequencing) and derive clinically meaningful interpretations.
  • Develop and apply computational methods for patient stratification based on integration of molecular profiling datasets.
  • Drive in-depth analysis of stratified patient data to elucidate biological and driver mechanisms in key oncology indications (integrating multiple omics datasets, including scRNAseq and spatial transcriptomics).
  • Work with colleagues in the Informatics Predictive Sciences group to identify drivers of disease heterogeneity and potential therapeutic targets for patients in unmet need.
  • Collaborate with experimental teams in the iterative validation of therapeutic and mechanistic therapeutic hypotheses.
  • Summarize analysis results and report conclusions to decision-making bodies.

Qualifications

  • Ph.D./ M.S./Btech/ or any other life science with 2+ years of experience in computational biology, bioinformatics, statistics or related fields. Experience in biotech or pharmaceutical industries is a plus.
  • Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices is a must.
  • Substantial experience working with Next Generation Sequencing datasets, including RNAseq, scRNAseq, Whole-Genome, Whole-Exome Sequencing and Spatial Transcriptomics.
  • Familiarity with contemporary cloud and high-performance computing environments.
  • Expertise in application of contemporary machine-learning/AI approaches.
  • Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects while conforming with rigorous requirements of clinical studies.
  • Strong problem-solving and collaboration skills, rigorous and creative thinking.
  • Excellent communication, data presentation, and visualization skills.
  • Fluent written and verbal English language communication.

Please apply on the Lifelancer platform at the below link for screening steps & quicker response.

https://lifelancer.com/jobs/view/43fa377b7d8e375d9bc4fe3e0f44395f

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Problem Solving
  • Strong Communication
  • Team Collaboration
  • Creativity

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