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Computational Biologist - REMOTE

72% Flex
Remote: 
Full Remote
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Offer summary

Qualifications:

Currently pursuing PhD or MSc in Bioinformatics, Computational Biology, or related field, Experience with R, Python, machine learning, and statistical modeling.

Key responsabilities:

  • Build and run bioinformatics pipelines
  • Collaborate with cross-functional teams for data analysis
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Lifelancer Information Technology & Services Startup https://lifelancer.com/
11 - 50 Employees
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Job description

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Your missions

Key Responsibilities

  • Run biotech RD pipelines as a data scientist or data engineer 
  • Build ETL / ELT pipelines 
  • Work with open-source Apache products such as Airflow, Nifi 
  • Establish computational frameworks for integrating, accessing, and analyzing genomic and transcriptomic datasets 
  • Develop analysis workflows for high-throughput DNA, and RNA sequencing data 
  • Integrate new pipelines with other components of Scispots tech stack 
  • Assist in the analysis and interpretation of gene expression data 
  • Work with scientists to leverage Bioinformatics datasets and assist in efforts of target assessment 
  • Collaborate with wet-lab scientists, data scientists, and bioinformaticians to design experiments, analyze data, and interpret the results 
  • Recommend cleansing and transformation rules required to make the datasets ready for AI/ML
  • Experience in data governance modeling Experience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)


    Required Qualifications And Experience
     
  • Currently pursuing PhD or MSc in Bioinformatics, Computational Biology, or a related field 
  • Demonstrated expertise in R, Python, and building complex code in a collaborative environment 
  • Experience supporting and working with cross-functional teams in a dynamic environment 
  • Experience working with high-throughput sequencing data (RNAseq, scRNAseq, WES) 
  • Proficiency in biological database management and the use of bioinformatics tools and software
  • Extensive knowledge in applying machine learning and statistical modeling to biological datasets 
  • Proficiency in processing and analyzing high dimensional biological data
  • Familiarity with public biological data sources and repositories
  • Experience with biological data standards, ontologies, and metadata
  • Familiarity with cloud-based data storage and analysis solutions is preferred 
  • Strong analytical skills related to working with large diverse datasets 
  • A demonstrated ability to find creative and functional solutions to complicated problems 
  • Excellent documentation skills with impeccable attention to detail
  • Exceptional communication skills and the ability to express complex ideas in understandable ways 
  • Strong critical thinking skills and the ability to handle ambiguity in data analysis 
  • Proven track record of publishing relevant work in high-impact journals is preferred 
  • If you are passionate about contributing to groundbreaking work in the life sciences and enjoy working in a fast-paced, innovative environment, we would love to hear from you.

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

https://lifelancer.com/jobs/view/f5ba9c4da3ac33d3c6d10832934b6e5c

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Analytical Thinking
  • Interpersonal Skills
  • Attention to Detail
  • Critical Thinking
  • Collaborative
  • Proactive Mindset

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